heterogeneity and misspecifications in learning abstract in this paper we consider a linear stochastic univariate forward looking model with one lag under adaptive heterogeneous learning the system is populated by two different types of agents who learn through recursive least squares techniques the parameter values in their forecasting models the two groups are constrained to have different information sets one being always a subset of the other we analyze convergence of these two interacting learning processes under different specifications of the forecasting model and in one case we find that an heterogenous expectations equilibrium emerges

bulls bears and market sheep abstract a deterministic excess demand model of stock market behavior is presented that generates stochastically fluctuating prices and randomly switching bear and bull markets

religiosity and earnings management international evidence from the banking industry using an international sample of banks we study how differences in religiosity across countries affect earnings management given that religiosity is a major source of morality and ethical behavior it may reduce excessive risk taking and act as deterrence for earnings manipulations therefore we predict lower earnings management in societies that have higher religiosity consistent with expectations our cross country analysis indicates that religiosity is negatively related to income increasing earnings management for loss avoidance and just meeting or beating prior year s earnings we also find that religiosity reduces income increasing earnings management through abnormal loan loss provisions in additional tests we document that religiosity increases the information value of bank earnings with both earnings persistence and cash flow predictability being enhanced by higher religiosity for the crisis period analysis i e 2007 2009 our evidence shows that banks in countries with higher religiosity exhibit lower probability of reporting asset deterioration and lower probability of having poor performance

models of stock returns a comparison in this paper a discrete mixture of normal distributions is proposed to explain the observed significant kurtosis fat tails and significant positive skewness in the distribution of daily rates of returns for a sample of common stocks and indexes stationarity tests on the parameter estimates of this discrete mixture of normal distributions model revealed significant differences in the mean estimates that can explain the observed skewness and significant differences in the variance estimates that can explain the observed kurtosis an alternative explanation for the observed fat tails is the symmetric student model the result of a comparison between the models is that the discrete mixture of normal distributions model has substantially more descriptive validity than the student model for many years both financial economists and statisticians have been concerned with the description of stock market returns the form of the distribution of stock returns is a crucial assumption for mean variance portfolio theory theoretical models of capital asset prices and the prices of contingent claims for example understanding the behavior of the variance is essential to option pricing models empirical tests of asset pricing models and the efficient markets hypothesis draw statistical inferences that are also conditional on distributional assumptions the most convenient assumption for financial theory and empirical methods is that the distribution of security rates of return be multivariate normal with parameters that are stationary over time since the normal distribution is stable under addition any arbitrary portfolio of stocks will also be normally distributed with the additional assumption of risk aversion mean variance theory follows furthermore the assumptions of normality and parameter stationarity are required for most of the econometric techniques typically used in empirical research tests of the normality hypothesis on the daily returns of the dow jones industrial stocks by fama 121 revealed more kurtosis fatter tails than that predicted from a sample of independent and identically distributed normal variates fama concluded from this evidence that the distribution of price changes conforms better to the stable paretian distribution with characteristic exponent

dynamic predictor selection in a new keynesian model with heterogeneous expectations abstract this paper introduces dynamic predictor selection into a new keynesian model with heterogeneous expectations and examines its implications for monetary policy we extend branch and mcgough 2009 by incorporating endogenous time varying predictor proportions along the lines of brock and hommes 1997 we find that periodic orbits and complex dynamics may arise even if the model under rational expectations has a unique stationary solution the qualitative nature of the non linear dynamics turns on the interaction between hawkishness of the government s policy and the extrapolative behavior of non rational agents

taking stock a rigorous modelling of animal spirits in macroeconomics modelling animal spirits this paper is a survey of the burgeoning literature that seeks to take the enigmatic concept of the animal spirits more seriously by building heterodox macro dynamic models that can capture some of its crucial aspects in a rigorous way two approaches are considered the discrete choice and the transition probability approach where individual agents face a binary decision and choose one of them with a certain probability these assessments are adjusted upward or downward in response to what the agents observe which leads to changes in the aggregate sentiment and the macroeconomic variables resulting from the corresponding decisions typical applications of the two approaches alternatively give rise to what will be called a weak and a strong form of animal spirits on the whole the literature included in this survey provides examples of applications of a modelling tool that demonstrates a considerable flexibility within a canonical framework

heterogeneous expectations and strong uncertainty in a minskyian model of financial fluctuations abstract we examine the role of expectations in a model aimed to explain financial fluctuations the model restates the core of minsky s financial instability hypothesis focusing on the role of expectations the hypotheses concerning the process of formation and revision of expectations are discussed in light of keynes s epistemological view of the behavior of boundedly rational agents under conditions of strong uncertainty these hypotheses are formalized by drawing on recent advances in complex dynamics decision theory and behavioral economics we show that widespread use of extrapolative expectations by economic agents produces a high degree of financial instability that may lead to a serious financial crisis and that the use by economic agents of a mix of extrapolative and regressive expectations reduces the dynamical instability of the model but may give rise to complex dynamics

credit default swaps has the gfc influenced perceptions of their utility for banks credit default swaps cdss are considered as one of the most versatile financial innovations of the 21st century since its inception the credit derivatives market has grown to a peak of 64 trillion in 2008 in terms of gross notional values cont 2010 however after the onset of the gfc this market has decreased to a large extent while there is evidence that promotes the risk reduction properties of cdss there is a growing body of research post gfc that identifies destabilising effects of these instruments in this paper i review the relevant scholarly literature and provide evidence of how the views on cdss have changed post gfc due a deeper investigation of issues such as systemic risk regulatory arbitrage information asymmetry and risk taking among others in the banking industry this paper provides a survey of the literature of views for and against the use of cdss during pre and post gfc periods and finally concludes that in comparison to the pre gfc period post gfc there is a significant increase in the literature that highlights the detrimental nature of cdss

investor protection prospect theory and earnings management an international comparison of the banking industry this paper raises three issues related to the earnings management em of banks across 48 countries first does earnings management of banks exist in all 48 countries second what is the incentive of banks to manage earnings third why does em vary across countries to answer these three questions two thresholds viz a threshold of zero earnings and a threshold of zero earnings change are employed the answer to the first question above is that banks in more than two thirds of the 48 countries sampled are found to have managed their earnings with respect to the second question prospect theory is used to provide an answer the relationship between return and risk is positive for high earnings groups but is negative for low earnings banks finally as to the last question stronger protection of investors and greater transparency in accounting disclosure can reduce banks incentives to manage earnings also higher real gdp per capita decreases the degree of earnings management it is seen that stronger enforcement of laws can counter intuitively result in stronger earnings management however this effect appears in low income countries only and not in high income countries

industry growth and capital allocation does having a market or bank based system matter are market based or bank based financial systems better at financing the expansion of industries that depend heavily on external finance facilitating the formation of new establishments and improving the efficiency of capital allocation across industries we find evidence for neither the market based nor the bank based hypothesis while legal system efficiency and overall financial development boost industry growth new establishment formation and efficient capital allocation having a bank based or market based system per se does not seem to matter much

correlated risks vs contagion in stochastic transition models abstract this paper studies the problem of disentangling risk correlation and contagion in a set of individual binary processes the two admissible values correspond to bad and good risk states of an individual the risk correlation is captured by introducing a dynamic frailty whereas the contagion passes through the effect of the lagged number of individuals in the bad risk state we study carefully the dynamic properties of the joint process then we focus on the limiting case of large populations portfolios the difficulty to identify risk correlation and contagion in finite samples is illustrated by means of monte carlo simulations

a general formula for valuing defaultable securities previous research has shown that under a suitable no jump condition the price of a defaultable security is equal to its risk neutral expected discounted cash flows if a modified discount rate is introduced to account for the possibility of default below we generalize this result by demonstrating that one can always value defaultable claims using expected risk adjusted discounting provided that the expectation is taken under a slightly modified probability measure this new probability measure puts zero probability on paths where default occurs prior to the maturity and is thus only absolutely continuous with respect to the risk neutral probability measure after establishing the general result and discussing its relation with the existing literature we investigate several examples for which the no jump condition fails each example illustrates the power of our general formula by providing simple analytic solutions for the prices of defaultable securities

the term structure of credit spreads with jump risk abstract default risk analysis is important for valuing corporate bonds swaps and credit derivatives and plays a critical role in managing the credit risk of bank loan portfolios this paper offers a theory to explain the observed empirical regularities on default probabilities recovery rates and credit spreads it incorporates jump risk into the default process with the jump risk a firm can default instantaneously because of a sudden drop in its value as a result a credit model with the jump risk is able to match the size of credit spreads on corporate bonds and can generate various shapes of yield spread curves and marginal default rate curves including upward sloping downward sloping flat and hump shaped even if the firm is currently in a good financial standing the model also links recovery rates to the firm value at default so that the variation in recovery rates is endogenously generated and the correlation between recovery rates and credit ratings before default reported in altman j finance 44 1989 909 can be justified

discretionary accounting and the behavior of japanese banks under financial duress abstract this paper investigates utilization of discretionary accounting practices in the context of international bank regulation under the basle accord specifically we explore implications of earnings management as a means of regulatory capital arbitrage by japanese banks during a period of financial duress 1989 1996 using a sample of 607 pooled time series and cross sectional observations we find evidence that japanese banks lending was capital constrained and that banks set gains on securities sales and loan loss provisions in such a way as to smooth reported income and replenish regulatory capital our results support the hypothesis that the form of earnings management examined may have been instrumental in enabling some japanese banks to comply with international capital regulation we contend that this behavior is otherwise inexplicable on the basis of significant informational tax or economic motivations

a dynamic program for valuing corporate securities abstract we design and implement a dynamic program for valuing corporate securities seen as derivatives on a firm s assets and computing the term structure of yield spreads and default probabilities our setting is flexible for it accommodates an extended balance sheet equality arbitrary corporate debts multiple seniority classes and a reorganization process this flexibility comes at the expense of a minor loss of efficiency the analytical approach proposed in the literature is exchanged here for a quasi analytical approach based on dynamic programming coupled with finite elements to assess our construction which shows flexibility and efficiency we carry out a numerical investigation along with a complete sensitivity analysis

endogenizing exogenous default barrier models the mm algorithm abstract in this paper we propose a maximization maximization mm algorithm for the assessment of hidden parameters in structural credit risk models step m1 updates the value volatility and expected return on the firm s assets by maximizing the log likelihood function for the time series of equity prices step m2 updates the default barrier by maximizing the equity holders participation in the firm s asset value the main contribution of the method lies in the m2 step which allows for endogenizing the default barrier in light of actual data on equity prices using a large international sample of companies we demonstrate that theoretical credit spreads based on the mm algorithm offer the lowest cds pricing errors when compared to other traditional default barrier specifications smooth pasting condition value maximum likelihood estimate kmv s default point and nominal debt

volatility clustering a nonlinear theoretical approach abstract this paper verifies the endogenous mechanism and economic intuition on volatility clustering using the coexistence of two locally stable attractors proposed by gaunersdorfer et al 2008 by considering a simple asset pricing model with two types of boundedly rational traders fundamentalists and trend followers and noise traders we provide theoretical conditions on the coexistence of a locally stable steady state and a locally stable invariant circle of the underlying nonlinear deterministic financial market model and show numerically that the interaction of the coexistence of the deterministic dynamics and noise processes can endogenously generate volatility clustering and long range dependence in volatility observed in financial markets economically volatility clustering occurs when neither the fundamental nor trend following traders dominate the market and when traders switch more often between the two strategies

why do firms smooth earnings we explain why a firm may smooth reported earnings greater earnings volatility leads to a bigger informational advantage for informed investors over uninformed investors if sufficiently many current shareholders are uninformed and may need to trade in the future for liquidity reasons an increase in the volatility of reported earnings will magnify these shareholders trading losses they will therefore want the manager to smooth reported earnings as much as possible empirical implications are drawn out that link earnings smoothing to managerial compensation contracts uncertainty about the volatility of earnings and ownership structure

bank risk dynamics and distance to default we adapt structural models of default risk to take into account the special nature of bank assets the usual assumption of log normally distributed asset values is not appropriate for banks typical bank assets are risky debt claims which implies that they embed a short put option on the borrowers assets leading to a concave payoff this has important consequences for banks risk dynamics and distance to default estimation due to the payoff non linearity bank asset volatility rises following negative shocks to borrower asset values as a result standard structural models in which the asset volatility is assumed to be constant can severely understate banks default risk in good times when asset values are high bank equity payoffs resemble a mezzanine claim rather than a call option bank equity return volatility is therefore much more sensitive to big negative shocks to asset values than in standard structural models

earnings management and auditor specialization in the post sox era an examination of the banking industry abstract this study examines the impact of auditor specialization on bank loan loss provisions for a large cross section of us banks for the period 2002 2006 we find a positive relationship between earning before provision and loan loss provision suggesting that bank managers use llp to smooth earnings in the post sox period however this relationship is significantly moderated by audit industry expertise providing strong evidence that industry specialization constrains income smoothing in further analysis we find some evidence that auditor specialization is more effective in reducing potentially incoming increasing earnings management our results hold after controlling for self selection bias and are robust to alternative measures of industry specialization overall our findings support the conclusion that audit industry expertise plays an effective monitoring role in constraining management s discretionary accounting choices

nonlinear dynamics in discretionary accruals an analysis of bank loan loss provisions abstract several studies have analyzed discretionary accruals to address earnings smoothing behaviors in the banking industry we argue that the characteristic link between accruals and earnings may be nonlinear since both the incentives to manipulate income and the practical way to do so depend partially on the relative size of earnings given a sample of 15 268 us banks over the period 1996 2011 the main results in this paper suggest that depending on the size of earnings bank managers tend to engage in earnings decreasing strategies when earnings are negative big bath use earnings increasing strategies when earnings are positive and use provisions as a smoothing device when earnings are positive and substantial cookie jar accounting this evidence which cannot be explained by the earnings smoothing hypothesis is consistent with the compensation theory neglecting nonlinear patterns in the econometric modeling of these accruals may lead to misleading conclusions regarding the characteristic strategies used in earnings management

cross country determinants of bank income smoothing by managing loan loss provisions abstract this paper studies the determinants of income smoothing by management of loan loss provisions in banks around the world using a panel database of 3221 bank year observations from 40 countries and controlling for unobservable bank effects and for the endogeneity of explanatory variables we find that bank income smoothing depends on investor protection disclosure regulation and supervision financial structure and financial development results suggest there is less bank income smoothing not only with the strength of investor protection but also with the extent of accounting disclosure restrictions on bank activities and official and private supervision while there is more income smoothing with market orientation and development of a country s financial system

animal spirits heterogeneous expectations and the amplification and duration of crises we introduce a simple equilibrium model of a market for loans households lend to firms and form expectations about their loan default probability under heterogeneous expectations with switching between forecasting strategies driven by reinforcement learning even a small fraction of pessimistic traders has a large aggregate effect causing a heterogeneous expectations risk premium i e significantly higher contract rates for loans and significantly lower output our stylized model illustrates how animal spirits and heterogeneous expectations may lead to aconfidence loss and to financial instability amplifying the magnitude of economic crises and slowing down recovery

does deposit insurance increase banking system stability an empirical investigation based on evidence of 61 countries in 1980 97 the authors find that explicit deposit insurance tends to be detrimental to bank stability the more so where bank interest rates are deregulated and the institutional environment is weak the adverse impact of deposit insurance on bank stability tends to be stronger the more extensive is the coverage offered to depositors and where the scheme is funded and run by the government rather than the private sector

explaining cds prices with merton s model before and after the lehman default abstract we examine whether cds prices around the credit crisis can be explained with merton s model first we invert the model with market prices to reveal skewed volatility smiles over the whole 2005 2012 period then we calibrate the model to pre crisis data in two novel ways that allow for skewness one based on equity index options meiv and the other on the sensitivity of cds prices to equity volatility mskew in out of sample forecasts both calibrations match the in crisis peak of prices but the second is better at capturing the systematic component of prices thereafter average cds prices remain at twice their pre crisis level long after that event the mskew calibration demonstrates that this is due to extra idiosyncratic risks which are important for some firms but have negligible impact on others

monetary neutrality under evolutionary dominance of bounded rationality i introduction a key property of the dynamic relationship between money and output is that due to price stickiness monetary shocks have persistent although not permanent impacts on the real output see e g christiano eichenbaum and evans 1999 the nominal adjustment of the aggregate price level in response to a monetary shock is therefore temporarily incomplete and considerable supporting empirical evidence for price rigidity has been found in several microprice studies see e g nakamura and steinsson 2013 and klenow and malin 2011 for comprehensive discussions of these studies mankiw and reis 2002 develop a novel model of temporarily incomplete nominal adjustment based on the assumption that costly information disseminates slowly in each period a random fraction of the price setters updates itself on the state of the economy so as to compute and set the optimal price while the remaining fraction keeps setting prices based on outdated information they admit that micro foundations for price stickiness may require a better understanding of bounded rationality and that information processing is more complex than the time contingent adjustment assumed in their paper in fact as added in mankiw and reis 2011 while the cost of acquiring information may be small and may even have fallen in this information age the costs of absorbing and processing information may be rather large and actually higher today than those in the past this paper contributes to the intuition on price setting under bounded rationality by developing a model in which the share of firms that have up to date information on relative prices to establish the optimal price follows evolutionary dynamics with and without mutation and not a random dynamics a la calvo 1983 as in mankiw and reis 2002 and the related literature our aim is to devise evolutionary game theoretic dynamics to provide alternative microfoundations for a temporarily incomplete nominal adjustment following a monetary shock we investigate the behavior of the general price level in an economy in which an individual firm can either pay a cost featuring a random component to update its information set and establish the optimal price nash strategy or freely use full information from the previous period and set a one period lagged optimal price bounded rationality strategy indeed detailed empirical studies such as the investigation for the euro zone by alvarez et al 2006 have found persistent coexistence of forward looking and backward looking price setting behavior and there is also robust empirical evidence showing persistent and time varying heterogeneity both in the frequency and in the extent of information updating see e g branch 2007 coibion and gorodnichenko 2012 we then devise evolutionary game theoretic microdynamics in discrete time that by interacting with the dynamics of the macroeconomic variables affects the coevolution of the frequency distribution of information updating strategies across firms and the completeness of the nominal adjustment of the general price level to a monetary shock our model economy is composed of monopolistically competitive firms whose individual optimal price depends positively upon the prices set by others implying the existence of strategic complementarity in a given period there is a fraction of firms that set prices without perfect knowledge of the structure of relative prices and hence of the prices that other firms will be setting as they decide not to pay the information cost involved in knowing it we refer to these firms as boundedly rational firms the remaining fraction is composed of firms that decide to incur the information updating cost to obtain that perfect knowledge and we follow droste hommes and tuinstra 2002 in referring to them as nash firms as they become perfect foresight firms meanwhile the optimal price is assumed to be given as in ball and romer 1991 varying positively with the actual general price level and nominal stock of money which is publicly known

intrinsic heterogeneity in expectation formation we introduce the concept of misspecification equilibrium to dynamic macroeconomics agents choose between a list of misspecified econometric models and base their selection on relative forecast performance a misspecification equilibrium is a stochastic process in which agents forecast optimally given their choices with forecast model parameters and predictor proportions endogenously determined under appropriate conditions the misspecification equilibrium will exhibit intrinsic heterogeneity in which all predictors are used at all times even in the neoclassical limit in which only the most successful predictors are used this equilibrium is attainable under least squares learning and dynamic predictor selection based on average profits

speculative behaviour and complex asset price dynamics a global analysis this paper analyses the dynamics of a model of a share market consisting of two groups of traders fundamentalists who base their trading decisions on the expectation of a return to the fundamental value of the asset and chartists who base their trading decisions on an analysis of past price trends the model is reduced to a two dimensional map whose global dynamic behaviour is analysed in detail the dynamics are affected by parameters measuring the strength of fundamentalist demand and the speed with which chartists adjust their estimate of the trend to past price changes the parameter space is characterized according to the local stability instability of the equilibrium point as well as the non invertibility of the map the method of critical curves of non invertible maps is used to understand and describe the range of global bifurcations that can occur it is also shown how the knowledge of deterministic dynamics uncovered here can aid in understanding the behaviour of stochastic versions of the model

high yield bond default and call risks this paper empirically investigates high yield bond default and call behavior using a competing risks hazard model that simultaneously estimates the impact of bond age issue specific characteristics and business conditions on both events results reveal nonmonotonic aging effects default rates increase and then drop while call rates first increase and then level off rating and coupon size affect default risk while maturity and issue size impact only call rates defaults are more likely when economic conditions have worsened and no improvement is anticipated calls are more likely when interest rates have decreased but are expected to rise

unobserved systematic risk factor and default prediction abstract we conduct a thorough analysis on the role played by the unobserved systematic risk factor in default prediction we find that this latent factor outweighs the observed systematic risk factors and can substantially improve the in sample predictive accuracy at the firm rating group and aggregate levels thus it might be helpful to include the unobserved systematic risk factor when simulating portfolio credit losses however we also find that this factor only marginally improves out of sample model performance therefore although the models we investigated all show reasonably good ability to rank order firms by default risk accurate prediction of default rate remains challenging even when the unobserved systematic risk factor is considered

default estimation correlated defaults and expert information abstractcapital allocation decisions are made on the basis of an assessment of creditwor thiness default is a rare event for most segments of a bank s portfolio and datainformation can be minimal inference about default rates is essential for e cientcapital allocation for risk management and for compliance with the requirementsof the basel ii rules on capital standards for banks expert information is crucialin inference about defaults a bayesian approach is proposed and illustrated usingprior distributions assessed from industry experts a maximum entropy approach isused to represent expert information the binomial model most common in appli cations is extended to allow correlated defaults yet remain consistent with basel ii the application shows that probabilistic information can be elicited from expertsand econometric methods can be useful even when data information is sparse keywords bayesian inference basel ii risk management prior elicitation small probability estimation

trade credit and the propagation of corporate failure an empirical analysis using an exhaustive data set on claims held by trade creditors suppliers on failed trade debtors customers we quantify the importance of trade credit chains for the propagation of corporate bankruptcy we show that trade creditors experience significant trade credit losses due to trade debtor failures and that creditors bankruptcy risks increase in the size of incurred losses by exploring the roles of financial constraints and creditor debtor dependences we infer that the trade credit failure propagation mechanism is driven by both credit losses and demand shrinkage finally we show that the documented propagation mechanism constitutes a significant part of the overall bankruptcy frequency suggesting that it has measurable implications for the aggregate level

estimation of correlations in portfolio credit risk models based on noisy security prices portfolio credit risk models are very often constructed with correlation matrices serving as proxies for interrelations in the creditworthiness of each company in addition to the size of the matrix estimation of correlation is also complicated by the fact that defaults are rare and credit sensitive securities such as stocks bonds and credit default swaps cds are noisy therefore we present in this paper an estimation approach based on credit sensitive instruments that accounts for noise and is highly parallelizable the latter being a very important feature for large portfolios in finance a simulation study shows that the method is reliable and has better statistical properties when benchmarked against other correlation estimators in an empirical study based on the cds premiums and stock prices of 225 firms listed on the cdx north american indices we analyze the correlations computed using numerous approaches overall we find that ignoring noise severely underestimates correlations whereas equity correlation is poorly related to the best correlation estimates inferred from the cds market

expectations and bubbles in asset pricing experiments abstract we present results on expectation formation in a controlled experimental environment in each period subjects are asked to predict the next price of a risky asset the realized market price is derived from an unknown market equilibrium equation with feedback from individual forecasts in most experiments prices deviate from the benchmark fundamental and bubbles emerge endogenously these bubbles are inconsistent with rational expectations and seem to be driven by trend chasing behavior or positive feedback expectations of the participants we also analyze individual predictions of participants and find that participants within a group tend to coordinate on a common prediction strategy

the crash of ʼ87 was it expected the evidence from options markets transactions prices of s p 500 futures options over 1985 1987 are examined for evidence of expectations prior to october 1987 of an impending stock market crash first it is shown that out of the money puts became unusually expensive during the year preceding the crash second a model is derived for pricing american options on jump diffusion processes with systematic jump risk the jump diffusion parameters implicit in options prices indicate that a crash was expected and that implicit distributions were negatively skewed during october 1986 to august 1987 both approaches indicate no strong crash fears during the 2 months immediately preceding the crash attempts to explain what caused the stock market crashes around the world in october 1987 have suffered from the paucity of major economic developments occurring around that time that could have triggered the crashes shifting expectations regarding monetary policy foreign investors fears of a dollar decline increasing riskiness of assets none of these appeared major enough if present at all to explain the magnitude of the crashes and although portfolio insurance strategies could conceivably magnify the effects of a jump in fundamentals the initiating jump in fundamentals appears to be lacking

do artificial income smoothing and real income smoothing contribute to firm value equivalently abstract this paper examines the potential impacts of artificial smoothing abnormal accruals and real smoothing derivatives on firm value we find that the value of the firm decreases with the magnitude of abnormal accruals and increases with the level of derivative use moreover the accrual discount is more pronounced in firms with weak investor protection and the hedging premium is greater for poorly governed firms these results suggest that although managers can engage in real smoothing to improve the informativeness of firms earnings and thus reduce agency costs they might use artificial techniques to cosmetically improve the income stream in order to expropriate minority shareholders in further support of agency theories we report that poor corporate governance motivates the use of abnormal accruals and discourages derivative use

law finance and firm growth we investigate how differences in legal and financial systems affect firms use of external financing to fund growth we show that in countries whose legal systems score high on an efficiency index a greater proportion of firms use long term external financing an active though not necessarily large stock market and a large banking sector are also associated with externally financed firm growth the increased reliance on external financing occurs in part because established firms in countries with well functioning institutions have lower profit rates government subsidies to industry do not increase the proportion of firms relying on external financing the corporate finance literature suggests that market imperfections caused by conflicts of interest and informational asymmetries between corporate insiders and investors constrain firms in their ability to fund investment projects the magnitude of these imperfections depends in part on the effectiveness of the legal and financial systems because these systems differ across countries the literature implies that there should exist systematic cross country differences in firms ability to obtain external capital to finance investment in this paper we examine whether the underdevelopment of legal and financial systems does prevent firms in some countries from investing in potentially profitable growth opportunities in particular we focus on the use of long term debt or external equity to fund growth see our earlier work demirgut kunt and maksimovic 1996a which compares firms financial structures in developed and developing countries and finds the greatest difference to be in the provision of long term credit we estimate a financial planning model to obtain the maximum growth rate that each firm in our thirty country sample could attain without access to long term financing we then compare these predicted growth rates to growth rates realized by firms in countries with differing degrees of development in their legal and financial systems our approach enables us to identify specific characteristics of the legal and financial systems that are associated with long term financing of firm growth thus we provide a micro level test of the hypoth

forecasting and decomposition of portfolio credit risk using macroeconomic and frailty factors this paper presents a dynamic portfolio credit model following the regulatory framework using macroeconomic and latent risk factors to predict the aggregate loan portfolio loss in a banking system the latent risk factors have three levels global across the entire banking system parent sectoral for the intermediate loan sectors and sector specific for the individual loan sectors the aggregate credit loss distribution of the banking system over a risk horizon is generated by monte carlo simulation and a quantile estimator is used to produce the aggregate risk measure and economic capital the risk contributions of the individual sectors and risk factors are measured by combining the hoeffding decomposition with the euler capital allocation rule for the u s banking system we find that the real gdp growth rate the global and sector wide frailty risk factors and their spillovers significantly affect loan defaults and the impacts of the frailty factors are not only economy wide but also sector specific we also find that the frailty risk factors make more significant risk contributions to the aggregate portfolio risk than the macroeconomic factors while the macroeconomic factors help to improve the accuracy and efficiency of the credit risk forecasts

the legal environment banks and long run economic growth this paper examines the relationship between the legal system and banlding development and traces this connection through to long run rates of per capita gdp growth capital stock growth and productivity growth the data indicate that countries where the legal system 1 emphasizes creditor rights and 2 rigorously enforces contracts have better developed banks than countries where laws do not give a high priority to creditors and where enforcement is lax furtherrnore the exogenous component of banking development the component defined by the legal environment is positively and robustly associated with per capita growth physical capital accumulation and productivity growth this paper addresses two questions first do crosscountry differences in the legal rights of creditors the efficiency of contract enforcement and the origin of the legal system explain cross country differences in the level of banking development second do better developed banks cause faster economic development that is is the component of banking development defined by the legal environment positively associated with long run rates of economic growth capital accumulation and productivity growth examining the relationship between the legal system and banking development is valuable irrespective of issues associated with long run growth first banks may influence the level of income per capita and the magnitude of cyclical fluctuations bernanke and gertler 1989 1990 second many economists stress that understanding the evolution of legal and financial systems is essential for understanding economic development north 1981 engerman and sokoloff 1996 consequently quantitative information on the relationship between the legal environment and banks will improve our understanding of business cycles and the process of economic development furthermore examining the causal links between banks and economic growth has both conceptual and policy implications on the conceptual front a long literature debates the importance of banks in economic development starting as early as bagehot 1873 economists have argued that better banks banks that are better at identifying creditworthy firms mobilizing savings pooling risks and facilitating transactions

structural recovery of face value at default abstract we carefully study the transmission mechanisms from default free rates to corporate bond prices within structural models of endogenous default risk the transmission critically depends on whether the model is value based or cashflow based on the assumptions made for the drift of the state variable and on the way the residual value at default is shared among bondholders the recovery assumption is crucial recovery of face value which entails receiving the same share of residual value at default regardless of the remaining maturity greatly helps explaining the empirical evidence on bond price sensitivities to interest rates

a new database on the structure and development of the financial sector this article introduces a new database of indicators of financial structure and financial development across countries and over time the database is unique in that it combines a wide variety of indicators that measure the size activity and efficiency of financial intermediaries and markets it improves on previous efforts by presenting data on the public share of commercial banks introducing indicators of the size and activity of nonbank financial institutions and constructing measures of the size of bond and primary equity markets this article introduces a new database the first to provide comprehensive measures of the development structure and performance of the financial sector this database is the first to define and construct indicators of the size and activity of nonbank financial intermediaries such as insurance companies pension funds and non deposit money banks it is also the first to include indicators of the size of primary equity markets and primary and secondary bond markets in constructing the database authors carefully deflate measures and match stock and flow variables

a new keynesian model with heterogeneous expectations abstract within a new keynesian model we incorporate bounded rationality at the individual agent level and we determine restrictions on expectations operators sufficient to imply aggregate is and as relations of the same functional form as those under rationality this result provides dual implications the strong nature of the restrictions required to achieve aggregation serve as a caution to researchers imposing heterogeneous expectations at an aggregate level may be ill advised on the other hand accepting the necessary restrictions provides for tractable analysis of expectations heterogeneity as an example we consider a case where a fraction of agents are rational and the remainder are adaptive and find specifications that are determinate under rationality may possess multiple equilibria in case of expectations heterogeneity

a top down approach to multiname credit a multiname credit derivative is a security that is tied to an underlying portfolio of corporate bonds and has payoffs that depend on the loss due to default in the portfolio the value of a multiname derivative depends on the distribution of portfolio loss at multiple horizons intensity based models of the loss point process that are specified without reference to the portfolio constituents determine this distribution in terms of few economically meaningful parameters and lead to computationally tractable derivatives valuation problems however these models are silent about the portfolio constituent risks they cannot be used to address applications that are based on the relationship between portfolio and component risks for example constituent risk hedging this paper develops a method that extends these models to the constituents we use random thinning to decompose the portfolio intensity into a sum of constituent intensities we show that a thinning process which allocates the portfolio intensity to constituents uniquely exists and is a probabilistic model for the next to default we derive a formula for the constituent default probability in terms of the thinning process and the portfolio intensity and develop a semi analytical transform approach to evaluate it the formula leads to a calibration scheme for the thinning processes and an estimation scheme for constituent hedge sensitivities an empirical analysis for september 2008 shows that the constituent hedges generated by our method outperform the hedges prescribed by the gaussian copula model which is widely used in practice

time changed birth processes and multiname credit derivatives a credit investor such as a bank granting loans to firms or an asset manager buying corporate bonds is exposed to correlated corporate default risk a multiname credit derivative is a financial security that allows the investor to transfer this risk to the credit market in this paper we study the valuation and risk analysis of multiname derivatives to capture the complex economic phenomena that drive the pricing of these securities we introduce a time changed birth process as a probabilistic model of correlated event timing the self exciting property of a time changed birth process captures the feedback from events that is often observed in credit markets the stochastic variation of arrival rates between events captures the exposure of firms to common economic risk factors we derive a closed form expression for the distribution of a time changed birth process and develop analytically tractable pricing relations for a range of multiname derivatives valuation problems we illustrate our results by calibrating a tranche forward and option pricer to market rates of index and tranche swaps

managing rational routes to randomness abstract within the seminal cobweb model of brock and hommes firms adapt their price expectations by a profit based switching behavior between free naive expectations and costly rational expectations brock and hommes demonstrate that fixed point dynamics may turn into increasingly complex dynamics as the firms intensity of choice increases we show that policy makers are able to manage such rational routes to randomness by adjusting profit taxes in particular policy makers should increase decrease profit taxes if destabilizing expectations generate higher lower profits than stabilizing expectations to alter the composition of applied expectation rules and thereby to promote market stability our results are not restricted to cobweb models a huge body of literature demonstrates that rational routes to randomness may emerge in many different markets

inflation expectations and macroeconomic dynamics the case of rational versus extrapolative expectations the motivation of this paper is to understand the effects of coupling a macroeconomic model of inflation rate dynamics relying on an aggregate expectation to a heterogeneous expectations framework a standard macroeconomic textbook model consisting of okun s law an expectations augmented phillips curve and an aggregate demand relation is extended to allow agents the possibility of selecting between different types of forecasting strategies to predict the future inflation rate rules that have produced low prediction errors in the recent past are favored by agents here we consider trend following and rational expectations using a mixture of analytical and numerical tools we investigate the model s dynamics and discuss the conditions under which the extended model leads to endogenous fluctuations in macroeconomic variables some preliminary results are offered for the case in which a taylor like monetary policy rule is included in the model jel classification c61 c62 e31 e32

comment on what drives bank competition some international evidence the question of bank competition is vitally important for a number of reasons the essential role of bank credit and other financial services as an input in the production of most other goods and services places banks in a unique and influential position such that any allocative inefficiency or other market distortions in banking are almost certain to be felt throughout the economy moreover recent history has provided numerous instances where the textbook paradigm of atomistic competition has proven inadequate as a policy guide for efficient banking either because there are simply too few banks to rely on sheer numbers as a guarantee of vigorous competition as in canada or because of evidence that there can be such a thing as too much competition in banking as suggested by several studies or because of instances where nearly competitive pricing has been observed in markets containing only one or two banks or because conversely substantially noncompetitive pricing has sometimes been deduced in banking products such as credit cardswith thousands of suppliers thus the study of bank competition remains an urgent field of research claessens and laeven 2004 this issue of jmcb make two key contributions here first they extend a proven empirical method to an unprecedentedly large and varied crosscountry sample second they offer the logical and policy relevant additional step of seeking to identify factors associated with variations in measured conduct this step is needed to assess the empirical validity of the traditional structure conductperformance paradigm in their sample and is especially important where that paradigm is found lacking as a predictor of bank conduct indeed although the authors

forecasting bankruptcy more accurately a simple hazard model i argue that hazard models are more appropriate than single period models for forecasting bankruptcy single period models are inconsistent while hazard models produce consistent estimates i describe a simple technique for estimating a discrete time hazard model i find that about half of the accounting ratios that have been used in previous models are not statistically significant moreover market size past stock returns and idiosyncratic returns variability are all strongly related to bankruptcy i propose a model that uses both accounting ratios and market driven variables to produce out of sample forecasts that are more accurate than those of alternative models copyright 2001 by university of chicago press

on jump processes in the foreign exchange and stock markets exchange rates exhibit systematic discontinuities even after allowingfor conditional heteroskedasticity in the diffusion process the results are much more significant in theforeign exchange market than in the stock market which suggests differences in the structure of these markets finally this jump component is shown to explain some of the empirically observed mispricings in the currency options market the objective of this article is to analyze and compare the empirical distribution of returns in the stock market and in the foreign exchange market there are a number of reasons why a better understanding of the stochastic processes driving prices in these markets would be useful many financial models rely heavily on the assumption of a particular stochastic process while relatively little attention is paid to the empirical fit of the postulated distribution as a result models like option pricing models are applied indiscriminately to various markets such as the stock market and the foreign exchange market when the underlying processes may be fundamentally different the foreign exchange market for instance is characterized by active exchange rate man

the declining credit quality of u s corporate debt myth or reality in recent years the number of downgrades in corporate bond ratings has exceeded the number of upgrades leading some to conclude that the credit quality of u s corporate debt has declined however an alternative explanation of this apparent decline in credit quality is that the rating agencies are now using more stringent standards in assigning ratings an ordered probit analysis of a panel of firms from 1978 through 1995 suggests that rating standards have indeed become more stringent implying that at least part of the downward trend in ratings is the result of changing standards bond ratings play a key role in corporate financing and investment decisions a corporation that can issue higher rated bonds usually receives better terms than one that can issue only lower rated bonds by law or policy some investors can purchase only bonds with an investment grade rating a restriction which in some asset pricing models would affect the relative prices of financial assets numerous articles in the popular press have presumed that the credit quality of the debt of u s corporations has been declining over the last couple of decades the comprehensive study by lucas and lonski 1992 of moody s rating changes of corporate debt is consistent with this presumption to cite their statistics in 1970 moody s downgraded 21 issues and upgraded 23 issues but over the following years the number of bonds downgraded began to exceed by substantial margins the number of bonds upgraded and by 1990 moody s downgraded 301 issues and upgraded only 61 their study includes both investment and noninvestment grade bonds but internal data from donaldson lufkin jenrette confirm that this trend also applies to investment grade bonds alone in a somewhat different context grundy 1997 documents similar trends in the ratings of preferred shares over the 1965 to 1990 period as the credit quality of a firm s corporate debt decreases that firm will face a greater probability of financial distress which at the extreme translates into bankruptcy there is some debate as to the effect of financial dis

hedging structured credit products during the credit crisis a horse race of 10 models abstract pricing and hedging structured credit products poses major challenges to financial institutions this paper puts several valuation approaches through a crucial test how did these models perform in one of the worst periods of economic history september 2008 when lehman brothers went under did they produce reasonable hedging strategies we study several bottom up and top down credit portfolio models and compute the resulting delta hedging strategies using either index contracts or a portfolio of single name cds contracts as hedging instruments we compute the profit and loss profiles and assess the performances of these hedging strategies among all 10 pricing models that we consider the student t copula model performs best the dynamical generalized poisson loss model is the best top down model but this model class has in general problems to hedge equity tranches our major finding is however that single name and index cds contracts are not appropriate instruments to hedge cdo tranches

taking stock a rigorous modelling of animal spirits in macroeconomics this paper is a survey of the burgeoning literature that seeks to take the enigmatic concept of the animal spirits more seriously by building heterodox macro dynamic models that can capture some of its crucial aspects in a rigorous way two approaches are considered the discrete choice and the transition probability approach where individual agents face a binary decision and choose one of them with a certain probability these assessments are adjusted upward or downward in response to what the agents observe which leads to changes in the aggregate sentiment and the macroeconomic variables resulting from the corresponding decisions typical applications of the two approaches alternatively give rise to what will be called a weak and a strong form of animal spirits on the whole the literature included in this survey provides examples of applications of a modelling tool that demonstrates a considerable flexibility within a canonical framework

interaction of credit and liquidity risks modelling and valuation in this paper we discuss the interaction of default risk and liquidity risk on pricing financial contracts we show that two risks are almost indistinguishable if the underlying contract has non negative values however if it can take both positive and negative values then these two risks demand different risk premiums depending on their loss rates and distributions we discuss a structural default model and a discrete time default model with exponentially distributed liquidity shocks we show that short term yield spreads are dominated by liquidity risk rather than credit risk we suggest a two stage procedure to calibrate the model with one scalar optimization problem and one linear programming problem 2005 elsevier b v all rights reserved

default prediction with dynamic sectoral and macroeconomic frailties abstract this paper extends the macroeconomic frailty model to include sectoral frailty factors that capture default correlations among firms in a similar business we estimate sectoral and macroeconomic frailty factors and their effects on default intensity using the data for japanese firms from 1992 to 2010 we find strong evidence for the presence of sectoral frailty factors even after accounting for the effects of observable covariates and macroeconomic frailty on default intensity the model with sectoral frailties performs better than that without results show that accounting for the sources of unobserved sectoral default risk covariations improves the accuracy of default probability estimation

macroeconomic expectations of households and professional forecasters economists have long emphasized the importance of expectations in determining macroeconomic outcomes yet there has been almost no recent effort to model actual empirical expectations data instead m acroeconomists usually simply assume that expectations are rational this paper shows that while empirical household expectations are not rational in the usual sense expectational dynamics are well captured by a model in which households views derive from news reports of the views of professional forecasters which in turn may be rational the model s estimates imply that people only occasionally pay attention to news reports this inattention generates stickyness in aggregate expectations with important macroeconomic consequences

optimal debt and equity values in the presence of chapter 7 and chapter 11 explicit presence of reorganization in addition to liquidation leads to conflicts of interest between borrowers and lenders in the first best outcome reorganization adds value to both parties via higher debt capacity lower credit spreads and improved overall firm value if control of the ex ante reorganization timing and the ex post decision to liquidate is given to borrowers most of the benefits are appropriated by borrowers ex post lenders can restore the first best outcome by seizing this control or by the ex post transfer of control rights reorganization is more likely and liquidation is less likely relative to the benchmark case with liquidation only the u s bankruptcy code which includes a liquidation process chapter 7 and a reorganization process chapter 11 aims to resolve a number of important issues associated with a distressed firm these issues can be classified into information asymmetry problems e g quality of the firm heinkel and zechner 1993 agency problems e g risk shifting jensen and meckling 1976 or coordination problems e g debt of various maturities berglof and von thadden 1994 in this paper we investigate whether there is a place for a reorganization process in the presence of costly financial distress and liquidation these costs capture in reduced form the aforementioned frictions we wish to characterize the states of a borrowing firm relative to its outstanding contractual debt obligations at different stages of financial distress assuming full information and a single issue of debt we also seek to determine the role played by the bankruptcy code in improving the welfare of borrowers and lenders and how its influence depends on the rights given to borrowers and lenders at various stages of financial distress more precisely we build on structural models of debt merton 1974 black and cox 1976 which allows us to determine overall firm value along with the values of equity and debt in line with this literature we assume that liquidation destroys part of the firm s value we then ask the basic and yet important

discretionary behavior with respect to allowances for loan losses and the behavior of security prices abstract the study examines the capital market pricing of discretionary and nondiscretionary components of a major accrual in the banking industry the allowance for loan losses the analysis employs a two stage approach in which the allowance account is first decomposed into estimates of its nondiscretionary and discretionary components the second stage evaluates the market s valuation of the estimates of the components evidence suggests that the capital market perceives the allowance to be comprised of two components a nondiscretionary component which is negatively priced and a discretionary component whose incremental pricing coefficient is positive

recurrent hyperinflations and learning we use a model of boundedly rational learning to account for the observations of recurrent hyperinflations in the 1980 s in a standard monetary model we replace the assumption of full rational expectations by a formal definition of quasi rational learning the model under learning matches some crucial stylized facts observed during the recurrent hyperinflations experienced by several countries in the 1980 s remarkably well we argue that despite being a small departure from rational expectations quasi rational learning does not preclude falsifiability of the model it does not violate reasonable rationality requirements and it can be used for policy evaluation

rushing the impatient allowance reserves and the time profile of low carbon investments postponing the issue date of allowances in a cap and trade scheme by e g a reserve mechanism impacts the time profile of low carbon investments if the postponement constrains intertemporal arbitrage short term investments increase but long term investments are deterred this effect aggravates the shortage of long term investments at least partially attributed to firms impatience the cancellation of allowances agreed for phase iv of the eu ets is suitable to counteract the negative effects of cap neutral postponement on long term investments by making the reserve redundant all effects crucially depend on how firms form expectations about future allowance prices

common failings how corporate defaults are correlated we test the doubly stochastic assumption under which firms default times are correlated only as implied by the correlation of factors determining their default intensities using data on u s corporations from 1979 to 2004 this assumption is violated in the presence of contagion or frailty unobservable explanatory variables that are correlated across firms our tests do not depend on the time series properties of default intensities the data do not support the joint hypothesis of well specified default intensities and the doubly stochastic assumption we find some evidence of default clustering exceeding that implied by the doubly stochastic model with the given intensities why do corporate defaults cluster in time several explanations have been explored first firms may be exposed to common or correlated risk factors whose co movements cause correlated changes in conditional default probabilities second the event of default by one firm may be contagious in that one such event may directly induce other corporate failures as with the collapse of penn central railway in 1970 third learning from default may generate default correlation for example to the extent that the defaults of enron and worldcom revealed accounting irregularities that could be present in other firms they may have had a direct impact on the conditional default probabilities of other firms our primary objective is to examine whether cross firm default correlation that is associated with observable factors determining conditional default probabilities the first channel on its own is sufficient to account for the degree of time clustering in defaults that we find in the data

term structures of credit spreads with incomplete accounting information we study the implications of imperfect information for term structures of credit spreads on corporate bonds we suppose that bond investors cannot observe the issuer s assets directly and receive instead only periodic and imperfect accounting reports for a setting in which the assets of the firm are a geometric brownian motion until informed equityholders optimally liquidate we derive the conditional distribution of the assets given accounting data and survivorship contrary to the perfect information case there exists a default arrival intensity process that intensity is calculated in terms of the conditional distribution of assets credit yield spreads are characterized in terms of accounting information generalizations are provided

does basel ii affect the market valuation of discretionary loan loss provisions we use a sample of banks from 24 european countries to investigate whether the adoption of the basel ii capital accord in 2008 affects the market valuation of discretionary loan loss provisions dllps although basel ii lowers the incentives of internal ratings based irb banks to recognize income increasing dllps in an opportunistic manner it has no such impact on the remaining banks which adopt the standardized methodology we use this setup in a difference in difference did design where standardized banks act as a control group our evidence supports the three hypotheses that for irb relative to standardized banks basel ii is associated with i less income increasing dllps and ii less income smoothing via dllps which enhances the informational content of dllps about future loan losses and leads to iii higher market valuation of dllps our findings are timely and have policy implications for future regulatory developments in the banking industry

affine modeling of credit risk pricing of credit events and contagion we propose a discrete time affine pricing model that simultaneously allows for i the presence of systemic entities by departing from the no jump condition on the factors conditional distribution

the domino effect of credit defaults test of asymmetric default correlations using realised default data using the research framework of a domino effect in firms we first make theoretical contributions by addressing several testable hypotheses regarding asymmetrical default correlations we then employ lucas s method to provide empirical evidence based on realised historical default data in the united states from 1992 to 2013 our empirical results are consistent with the following notions first default correlations increase with the time horizon second firms with low credit quality small size illiquidity and a high beta exhibit higher default correlations credit risk management without considering asymmetrical default correlations could underestimate portfolio risk due to default clustering

on information and market dynamics the case of the u s beef market abstract the paper investigates the nature of dynamic prices and expectations in a competitive market the approach is applied to the u s beef market which exhibits cyclical patterns and significant biological lags in the production process beef price equations are estimated under different expectation regimes the empirical results indicate the presence of heterogeneous price expectations with a significant number of market participants neglecting information about the existence of a beef cycle

asset pricing under the quadratic class we identify and characterize a class of term structure models where bond yields are quadratic functions of the state vector we label this class the quadratic class and aim to lay a solid theoretical foundation for its future empirical application we consider asset pricing in general and derivative pricing in particular under the quadratic class we provide two general transform methods in pricing a wide variety of fixed income derivatives in closed or semi closed form we further illustrate how the quadratic model and the transform methods can be applied to more general settings i introduction we identify and characterize a class of term structure models where bond yields are quadratic functions of the markov process we label this class the quadratic class and aim to lay a solid theoretical foundation for its future empirical application we identify the necessary and sufficient conditions for the quadratic class and consider the general asset pricing problem under the quadratic framework in particular we propose two transform methods to price a wide variety of interest rate derivatives in closed or semi closed form we further illustrate how the pricing methods can be applied to more general settings examples include option pricing for currencies or stocks with quadratic stochastic volatilities our interests in the quadratic class come mainly from concerns on empirical application recent empirical research within the affine framework of duffie and kan 1996 indicates an inherent tension between i delivering good empirical performance in matching salient features of the interest rate data and ii excluding positive probabilities of having negative interest rates for example backus telmer and wu 1999 and dai and singleton 2000 find that incorporating gaussian state variables in the affine framework significantly increases the flexibility for model design and greatly improves its empirical performance in capturing the conditional dynamics of interest rates dai and singleton 2001

regulations market structure institutions and the cost of financial intermediation this paper examines the impact of bank regulations market structure and national institutions on bank net interest margins and overhead costs using data on over 1400 banks across 72 countries while controlling for bankspecific characteristics the data indicate that tighter regulations on bank entry and bank activities boost the cost of financial intermediation inflation also exerts a robust positive impact on bank margins and overhead costs while concentration is positively associated with net interest margins this relationship breaksdownwhencontrolling for regulatory impediments to competition and inflation furthermore bank regulations become insignificant when controlling for national indicators of economic freedom or property rights protection while these institutional indicators robustly explain cross bank net interest margins and overhead expenditures thus bank regulations cannot be viewed in isolation they reflect broad national approaches to private property and competition

a yield premium model for the high yield debt market a simple method for determining whether the high yield debt market is rich or poor at any point in time uses the concept of break even yield to measure the current market premium that investors can expect to receive over the yield of the benchmark default risk free bonds covering the sample period 1988 to 1994 analysis of premiums and implied default rates for each of the high yield bond rating categories as well as the overall high yield market indicates that premiums over the break even yield have varied dramatically during the past six years from 0 5 percent to 8 0 percent also total returns are significantly positively correlated with lagged premiums this result implies an effective model for predicting returns over 6 and 12 month horizons

managerial optimism and earnings smoothing abstract this paper empirically examines how ceo optimism affects earnings smoothing and earnings surprises the main finding is that optimistic managers smooth earnings more than rational managers and are associated with smaller in absolute value earnings surprises a possible theoretical explanation is offered for these results based on a combination of the torpedo effect the innate behavior of optimists and the risk of litigation prosecution for over reporting earnings

risk analysis of collateralized debt obligations collateralized debt obligations which are securities with payoffs that are tied to the cash flows in a portfolio of defaultable assets such as corporate bonds play a significant role in the financial crisis that has spread throughout the world insufficient capital provisioning due to flawed and overly optimistic risk assessments is at the center of the problem this paper develops stochastic methods to measure the risk of positions in collateralized debt obligations and related instruments tied to an underlying portfolio of defaultable assets it proposes an adaptive point process model of portfolio default timing a maximum likelihood method for estimating point process models that is based on an acceptance rejection resampling scheme and statistical tests for model validation to illustrate these tools they are used to estimate the distribution of the profit or loss generated by positions in multiple tranches of a collateralized debt obligation that references the cdx high yield portfolio and the risk capital required to support these positions

counterparty risk and the pricing of defaultable securities motivated by recent financial crises in east asia and the united states where the downfall of a small number of firms had an economy wide impact this paper generalizes existing reduced form models to include default intensities dependent on the default of a counterparty in this model firms have correlated defaults due not only to an exposure to common risk factors but also to firm specific risks that are termed counterparty risks numerical examples illustrate the effect of counterparty risk on the pricing of defaultable bonds and credit derivatives such as default swaps it has been well documented in moody s reports on historical default rates of corporate bond issuers that the number of defaults the number of credit rating downgrades and credit spreads are all strongly correlated with the business cycle this has motivated reduced form models such as duffie and singleton 1999 and lando 1994 1998 which assume that the intensity of default is a stochastic process that derives its randomness from a set of state variables such as the short term interest rate this approach has the convenient features that conditioning on the state variables defaults become independent events and default correlation arises due to the common inf luence of these state variables on the other hand a default intensity that depends linearly on a set of smoothly varying macroeconomic variables is unlikely to account for the clustering of defaults around an economic recession this is evident from a casual inspection of the exhibits in the latest moody s report see keenan 2000 within the usual affine framework one can model the state variables as jump diffusions see duffie pan and single

evaluating corporate bonds and analyzing claim holders decisions with complex debt structure abstract although many different aspects of debt structures such as bond covenants and repayment schedules are empirically found to significantly influence values of bonds and equity many theoretical structural models still oversimplify debt structures and fail to capture phenomena found in financial markets this paper proposes a carefully designed structural model that faithfully models typical complex debt structures containing multiple bonds with various covenants for example the ability for an issuing firm to meet an obligation is modeled to rely on its ability to meet previous repayments and the default trigger is shaped according to the characteristics of its debt structure such as the amount and schedule of bond repayments thus our framework reliably provides theoretical insight and concrete quantitative measurements consistent with extant empirical research such as the shapes of yield spread curves under various firm s financial statuses and the impact of payment blockage covenants on newly issued and other outstanding bonds we also develop the forest a novel quantitative method to handle contingent changes in the debt structure due to premature bond redemptions a forest consists of several trees that capture different debt structures for instance those before or after a bond redemption this method can be used to analyze how poison put covenants in the target firm s bonds influence the bidder s costs of debt financing for a leveraged buyout or investigate how the presence of wealth transfer among the remaining claim holders due to a bond redemption influences the firm s call policy or further reconcile conflicts among previous empirical studies on call delay phenomena

why bank credit policies fluctuate a theory and some evidence in a rational profit maximizing world banks should msdntain a credit policy of lending if and only if borrowers have positive net present value projects why then are changes in credit policy seemingly correlated with changes in the condition of those demanding credit this paper argues that rational bank managers with short horizons will set credit policies that influence and are influenced by other banks and demand side conditions this leads to a theory of low frequency business cycles driven by bank credit policies evidence from the banking crisis in new england in the early 1990s is consistent with the assumptions and predictions of the theory

sticky information and model uncertainty in survey data on inflation expectations abstract this paper compares three reduced form models of heterogeneity in survey inflation expectations on the one hand we specify two models of forecasting inflation based on limited information flows of the type developed in mankiw and reis 2002 sticky information versus sticky prices a proposal to replace the new keynesian phillips curve quarterly journal of economics 117 4 1295 1328 we present maximum likelihood results that suggests a sticky information model with a time varying distribution structure is consistent with the michigan survey of inflation expectations we also compare these sticky information models to the endogenous model uncertainty approach in branch 2004 the theory of rationally heterogeneous expectations evidence from survey data on inflation expectations economic journal 114 497 non parametric evidence suggests that models which allow the degree of heterogeneity to change over time provide a better fit of the data

analytical methods for hedging systematic credit risk with linear factor portfolios abstract multi factor credit portfolio models are used widely today for managing economic capital and pricing collateralized debt obligations cdos and asset backed securities commonly practitioners allocate capital to the portfolio components sub portfolios counterparties or transactions the hedging of credit risk is generally also focused on the deltas of underlying names we present analytical results for hedging portfolio credit risk with linear combinations of systematic factors based on the minimization of systematic variance of portfolio losses we solve these problems within a multi factor merton type credit portfolio model and apply them to hedge systematic credit default losses of loan portfolios and cdos