learning to believe in sunspots a number of authors have shown that competitive economies may possess sunspot equilibria that is rational expectations equilibria in which purely extrinsic uncertainty affects equilibrium prices and allocations 2 such results demonstrate that it does not require a lack of faith in the rationality of market participants to believe that competitive markets may be subject to purely speculative fluctuations driven solely by expectations 3 the mere existence of sunspot equilibria as solutions to a system of marketclearing conditions however might not be judged sufficient to indicate that competitive markets with rational participants could ever be subject to speculative instability the sunspot equilibria represent states of affairs in which agents act differently in the case of different realizations of the sunspot variable and it is rational for each agent to do so but it might be thought unlikely that the beliefs of all the participants in the market could ever come to be coordinated so as to bring about an equilibrium of that kind it is rational to believe that sunspots convey information about future states of affairs once the economy is in a sunspot equilibrium but why would rational agents ever begin to believe in such a thing so as to create the conditions under which the belief is rational in order to address such a question one must go beyond the mere statement of the conditions for equilibrium and discussion of what states of affairs satisfy them one must specify an explicit dynamic process according to which the beliefs of agents adjust when out of equilibrium any exercise of this kind is necessarily unsatisfactory as there is no univocal meaning for the postulate of rational behavior outside of an equilibrium it may well be the case that

can portmanteau nonlinearity tests serve as general mis specification tests a number of recent papers have employed the bds test as a general test for mis specification for linear and nonlinear models we show that for a particular class of conditionally heteroscedastic models the bds test is unable to detect a common mis specification our results also demonstrate that specific rather than portmanteau diagnostics are required to detect neglected asymmetry in volatility however for both classes of tests reasonable power is only obtained using very large sample sizes

oil price uncertainty and the canadian economy evidence from a varma garch in mean asymmetric bekk model abstract in this paper we build on recent work by elder and serletis 2010 forthcoming and rahman and serletis forthcoming and investigate the relationship between oil price uncertainty and the level of economic activity using quarterly canadian data over the period from 1974 1 to 2010 1 in doing so we use a bivariate varma garch in mean asymmetric bekk model as detailed in engle and kroner 1995 grier et al 2004 and shields et al 2005 we show that the conditional variance covariance process underlying output growth and the change in the real price of oil exhibits significant non diagonality and asymmetry we also present evidence that increased uncertainty about the change in the real price of oil is associated with a lower average growth rate of real economic activity in canada consistent with the results in elder and serletis 2010 forthcoming and rahman and serletis forthcoming for the united states and elder and serletis 2009 for canada our results are robust to alternative measures of the price of oil alternative measures of the level of economic activity and alternative data frequencies

premia for correlated default risk abstract using data on corporate default experience in the u s and market rates of cdx index and tranche swaps of various maturities we estimate reduced form models of correlated default timing in the cdx high yield and investment grade portfolios under actual and risk neutral probabilities the striking contrast between the estimated processes followed by the actual and risk neutral arrival intensities of defaults and between the parameters governing the actual and risk neutral dynamics of the risk neutral intensities indicates the presence of substantial default risk premia in cdx swap market rates the effects of risk premia on swap rates covary strongly across maturities and depend on general stock market volatility and several measures of credit spreads large moves in the effects of these premia on swap rates have natural interpretations in terms of economic and financial market developments during the sample period april 2004 to october 2007 our results suggest that a large portion of the movements in cdx swap market rates observed during the sample period may be caused by changing attitudes toward correlated default risk rather than changes in the economic factors affecting the actual risk of clustered defaults which ultimately governs swap payoffs

evaluating interval forecasts a complete theory for evaluating interval forecasts has not been worked out to date most of the literature implicitly assumes homoskedastic errors even when this is clearly violated and proceed by merely testing for correct unconditional coverage consequently i set out to build a consistent framework for conditional interval forecast evaluation which is crucial when higher order moment dynamics are present the new methodology is demonstrated in an application to the exchange rate forecasting procedures advocated in risk management

dynamic factor models with macro frailty and industry effects for u s default counts the credit crisis of 2008 we develop a high dimensional nonlinear and non gaussian dynamic factor model for the decomposition of systematic default risk conditions into latent components for 1 macroeconomic financial risk 2 autonomous default dynamics frailty and 3 industry specific effects we analyze discrete u s corporate default counts together with macroeconomic and financial variables in one unifying framework we find that approximately 35 of default rate variation is due to systematic and industry factors approximately one third of this systematic variation is captured by the macroeconomic and financial factors the remainder is captured by frailty 40 and industry 25 effects the default specific effects are particularly relevant before and during times of financial turbulence we detect a build up of systematic risk over the period preceding the 2008 credit crisis this article has online supplementary material

exploring the sources of default clustering abstract we study the sources of corporate default clustering in the united states we reject the hypothesis that firms default times are correlated only because their conditional default rates depend on observable and latent systematic factors by contrast we find strong evidence that contagion through which the default by one firm has a direct impact on the health of other firms is a significant clustering source the amount of clustering that cannot be explained by contagion and firms exposure to observable and latent systematic factors is insignificant our results have important implications for the pricing and management of correlated default risk

volatility transmission and volatility impulse response functions in european electricity forward markets using daily data from march 2001 to june 2005 we estimate a var bekk model and find evidence of return and volatility spillovers between the german the dutch and the british forward electricity markets we apply hafner and herwartz 2006 journal of international money and finance 25 719 740 volatility impulse response function virf to quantify the impact of shock on expected conditional volatility we observe that a shock has a high positive impact only if its size is large compared to the current level of volatility the impact of shocks are usually not persistent which may be an indication of market efficiency finally we estimate the density of the virf at different forecast horizon these fitted distributions are asymmetric and show that extreme events are possible even if their probability is low these results have interesting implications for market participants whose risk management policy is based on option prices which themselves depend on the volatility level

technological choices and regulation the case of the canadian manufacturing sectors the economic environment in which canadian manufacturing firms operate has changed substantially over the last 40 years technological changes new regulations deregulation and exogenous economic shocks all have been important aspects of this economic environment in this article we show how to include such changes in the economic environment faced by the firms in a behavioural model that includes the investment decision of the firm under uncertainty assumptions regarding the expectation formation process and technology are kept minimal we estimate the effects of innovations such as the free trade agreement the foreign investment review agency and the federal environmental policy on the economic decisions of fifteen canadian manufacturing sectors jel classification d24 choix de technologies et reglementation le cas des secteurs manufacturiers canadiens au cours des 40 dernieres annees l environnement economique des firmes manufacturieres canadiennes s est grandement transforme que ce soit a cause du changement technologique de la reglementation de vagues de dereglementation ou de chocs economiques exogenes les firmes ont du s adapter en modifiant leur technologie dans cet article nous montrons comment prendre en compte les changements de l environnement economique des firmes dans le cadre d un modele decisionnel de la firme en incertitude avec investissement les hypotheses concernant la technologie et les anticipations sont aussi generales que possible nous estimons l effet qu ont eu l accord de libre echange l agence de tamisage des investissements etrangers et la politique environnementale federale sur les choix de technologies des firmes de quinze secteurs manufacturiers canadiens

do exchange rates affect the capital labour ratio panel evidence from canadian manufacturing industries using industry level data for canadian manufacturing industries from 1981 to 1997 we find empirical evidence of a negative relationship between the capital labour ratio and the user cost of capital relative to the price of labour a 10 increase in the user cost of the machinery and equipment m e relative to the price of labour results in a 3 3 decrease in the m e labour ratio in the long run assuming complete exchange rate pass through into imported m e prices the maximum effect of a permanent 10 depreciation in the exchange rate is a 1 7 decline in the m e labour ratio this result implies that the cumulative growth of the m e labour ratio during the 1991 to 1997 period would have been 2 3 percentage points higher had the dollar not depreciated this may appear to be significant but considering both m e as a share of total capital and the capital share of nominal output are both approximately one third in terms of a simple growth accounting framework the effect on labour productivity is small

factor demands cost functions and technology measurements for regulated in this paper we provide some missing elements to the theory of the regulated firm and discuss implications for econometric specification particular attention is paid to situations where capital is quasi fixed under rate of return regulation which may lead to serious specification and interpretation errors if the current theoretical basis is not adjusted we also extend the analysis to arbitrary types of regulation and indicate precisely how the differential of factor demands can be specified and what regularity conditions it must satisfy the exact formula for the calculation of marginal products returns to scale and technological change are derived

a theory of ambiguity credibility and inflation under discretion and asymmetric information this paper develops a positive theory of credibility ambiguity and inflation under discretion and asymmetric information the monetary policymaker maximizes his own politically motivated objective function that is positively related to economic stimulation through monetary surprises and negatively related to monetary growth the relative importance he assigns to each target shifts stochastically through time his current preference trade off is known to him but not to the public when choosing the state contingent path of money growth for the present and the future the policymaker compares the benefits from current stimulation with the costs associated with higher future inflation expectations current monetary growth conveys information to the public about future money growth because there is persistence in the policymaker s objectives although expectations are rational information is imperfect because monetary control procedures are imprecise as a result the public cannot correctly distinguish persistent changes of emphasis on different policy objectives from transitory monetary control errors the public becomes aware of changes gradually by observing past monetary growth credibility is defined in terms of the speed with which the public recognizes changes in the objectives of the policymaker credibility is lower the noisier monetary control and the more stable the objectives of the policymaker looser monetary control and a higher degree of time preference on the part of the policymaker induce him to produce higher and more variable monetary growth when the policymaker is free to determine the accuracy of monetary control he does not always choose the most effective control available in spite of the fact that monetary surprises always have an expected value of zero the reason is that ambiguous control procedures enable the policymaker to generate positive surprises when he cares more than on average about economic stimulation he leaves the inevitable negative surprises for periods in which he cares more about inflation prevention this result provides an explanation for the fed s preference for ambiguity recently documented by goodfriend 1986 the policymaker is more likely to pick more ambiguous control procedures the more uncertain his objectives and the higher his time preference the paper also provides a theoretical underpinning for the well documented crosscountry positive correlation between the level and the variability of inflation

variable selection and corporate bankruptcy forecasts abstract we investigate the relative importance of various bankruptcy predictors commonly used in the existing literature by applying a variable selection technique the least absolute shrinkage and selection operator lasso to a comprehensive bankruptcy database over the 1980 2009 period lasso admits the majority of campbell et al 2008 predictive variables into the bankruptcy forecast model interestingly by contrast with recent studies some financial ratios constructed from only accounting data also contain significant incremental information about future default risk and their importance relative to that of market based variables in bankruptcy forecasts increases with prediction horizons moreover lasso selected variables have superior out of sample predictive power and outperform 1 those advocated by campbell et al 2008 and 2 the distance to default from merton s 1974 structural model

measuring the response of macroeconomic uncertainty to shocks recent research documents the importance of uncertainty in determining macroeconomic outcomes but little is known about the transmission of uncertainty across such outcomes this paper examines the response of uncertainty about inflation and output growth to shocks documenting statistically significant size and sign bias and spillover effects uncertainty about inflation is a determinant of output uncertainty whereas higher growth volatility tends to raise inflation volatility both inflation and growth volatility respond asymmetrically to positive and negative shocks negative growth and inflation shocks lead to higher and more persistent uncertainty than shocks of equal magnitude but opposite sign

modeling financial contagion using mutually exciting jump processes we propose a model to capture the dynamics of asset returns with periods of crises that are characterized by contagion in the model a jump in one region of the world increases the intensity of jumps both in the same region self excitation as well as in other regions cross excitation generating episodes of highly clustered jumps across world markets that mimic the observed features of the data we develop and implement moment based estimation and testing procedures for this model the estimates provide evidence of self excitation both in the us and the other world markets and of asymmetric cross excitation with the us market typically having more influence on the jump intensity of other markets than the reverse we propose filtered values of the jump intensities as a measure of market stress and examine their out of sample forecasting abilities

modeling the loss distribution in this paper we focus on modeling and predicting the loss distribution for credit risky assets such as bonds and loans we model the probability of default and the recovery rate given default based on shared covariates we develop a new class of default models that explicitly accounts for sector specific and regime dependent unobservable heterogeneity in firm characteristics based on the analysis of a large default and recovery data set over the horizon 1980 2008 we document that the specification of the default model has a major impact on the predicted loss distribution whereas the specification of the recovery model is less important in particular we find evidence that industry factors and regime dynamics affect the performance of default models implying that the appropriate choice of default models for loss prediction will depend on the credit cycle and on portfolio characteristics finally we show that default probabilities and recovery rates predicted out of sample are negatively correlated and that the magnitude of the correlation varies with seniority class industry and credit cycle this paper was accepted by wei xiong finance

behavior of the firm under regulatory constraint a recent article by akira takayama discusses an earlier paper by harvey averch and leland l johnson on fair rate of return regulation of public utilities although takayama p 255 agrees with averch and johnson s general conclusions that a firm will tend to increase its investment with the introduction of an active constraint on its rate of return he criticizes the a j argument as being confusing ambiguous and in error takayama then attempts a clarification and presents a new formulation which leads to the a j result quoted above this comment will discuss several of takayama s criticisms in addition to showing that the so called a j effect cannot be derived from the basic assumptions made by both averch and johnson and takayama 1 we will show that the very assumptions used to prove the a j effect by defining the region of x require an assumption that the a j effect exists in the first place

the asymmetric effects of uncertainty on inflation and output growth we study the effects of growth volatility and inflation volatility on average rates of output growth and inflation for post war us data our results suggest that increased growth uncertainty is associated with significantly lower average growth while higher inflation uncertainty is significantly negatively correlated with lower output growth and lower average inflation both inflation and growth display evidence of significant asymmetric response to positive and negative shocks of equal magnitude copyright 2004 john wiley sons ltd

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 multivariate flexible accelerator model its empirical restrictions and an application to u s manufacturing this paper derives an exhaustive set of restrictions implied by the multistock flexible accelerator specification of the adjustment cost model for the firm the flexible accelerator specification of the demand for capital and labor is estimated using u s manufacturing annual data for the 1947 1976 period the consistency of the data with the model is examined by testing the validity of the derived restrictions finally the conditions which permit aggregation over firms are determined and tested empirically the flexible accelerator specification has been popular in the empirical literature on interrelated investment and employment decisions see nadiri and rosen 38 coen and hickman 10 and schramm 40 more recent examples include sargent 39 berndt fuss and wavermann 4 berndt and morrison 6 and meese 34 under suitable assumptions the specification may be rationalized by the adjustment cost model of the firm eisner and strotz 13 lucas 30 mortensen 35 extends the work of lucas and derives some empirically testable restrictions of the accelerator specification that are implied by the adjustment cost framework the broad objective of this paper is to provide a more rigorous and comprehensive test of the adjustment cost model than is presently found in the literature this objective is achieved in three stages first we offer an alternative derivation of the mortensen restrictions and more importantly we prove theorem 1 that his restrictions are exhaustive i e we establish an integrability result for the flexible accelerator adjustment cost model second the flexible accelerator specification of the demand for capital and labor is estimated using total u s manufacturing annual data for the 1947 76 period it is assumed that firms minimize expected production costs subject to a technology which implies that capital and labor stocks are costly to adjust while a third factor materials is freely adjustable the consistency of the data with the adjustmentcost framework is examined by testing for the validity of the derived restrictions further we test the validity of some separability restrictions on the adjustmentcost technology that to varying degrees are imposed a priori in all of the cited empirical studies finally we provide a complete characterization of the individual firm technologies which justify the common assumption of the existence of a representative firm this problem of aggregation over firms which has been

credit contagion from counterparty risk standard credit risk models cannot explain the observed clustering of default some times described as credit contagion this paper provides the first empirical analysis of credit contagion via direct counterparty effects we find that bankruptcy announce ments cause negative abnormal equity returns and increases in cds spreads for credi tors in addition creditors with large exposures are more likely to suffer from financial distress later this suggests that counterparty risk is a potential additional channel of credit contagion indeed the fear of counterparty defaults among financial institu tions explains the sudden worsening of the credit crisis after the lehman bankruptcy in september 2008

credit default swaps and the credit crisis many observers have argued that credit default swaps contributed significantly to the credit crisis of particular concern to these observers are that credit default swaps trade in the largely unregulated over the counter market as bilateral contracts involving counterparty risk and that they facilitate speculation involving negative views of a firm s financial strength some observers have suggested that credit default swaps would not have made the crisis worse had they traded on exchanges i conclude that credit default swaps did not cause the dramatic events of the credit crisis that the over the counter credit default swaps market worked well during much of the crisis and that exchange trading has both advantages and costs compared to over the counter trading though i argue that eliminating over the counter trading of credit default swaps could reduce social welfare i also recognize that much research is needed to understand better and to quantify the social gains and costs of derivatives in general and credit default swaps in particular

on correlation and default clustering in credit markets we establish markovian models in the heath jarrow and morton 1992 paradigm that permit an exponential affine representation of riskless and risky bond prices while offering significant flexibility in the choice of volatility structures estimating models in our family is typically no more difficult than in the workhorse affine family besides diffusive and jump induced default correlations defaults can impact the credit spreads of surviving firms allowing for a greater clustering of defaults numerical implementations highlight the importance of incorporating interest rate credit spread correlations credit spread impact factors and the full credit spread curve when building a unified framework for pricing credit derivatives the author 2010 published by oxford university press on behalf of the society for financial studies all rights reserved for permissions please e mail journals permissions oxfordjournals org oxford university press

dynamic factor demands and the effects of energy price shocks a dynamic model is used to understand how sharp changes in energy prices affect investment behavior employment and energy use the authors discuss the theory behind their model selection model specifications estimation methods and data list parameter estimates and elasticities for the selected model and describe the simulations they conclude that 1 the data strongly reject the hypothesis of constant returns to scale within their specification of aggregate production 2 the data indicate adjustment costs on labor are small and 3 their results help reconcile some of the conflicting estimates of energy demand elasticities appearing in recent literature 23 references 3 figures 3 tables

dynamic factor demands under rational expectations we model the industrial demands for structures equipment and blue and white collar labor in a manner consistent with rational expectations and stochastic dynamic optimization in the presence of adjustment costs but allowing generality of functional form we represent the technology by a translog input requirement function that specifies the amount of blue collar labor needed to produce an output level given quantities of three quasi fixed factors nonproduction workers equipment and structures a complete description of the production structure is obtained by simultaneously estimating the input requirement function and three stochastic euler equations we find adjustment costs are small in total but large on the margin and differ considerably across factors

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

financial networks and contagion we study cascades of failures in a network of interdependent financial organizations how discontinuous changes in asset values e g defaults and shutdowns trigger further failures and how this depends on network structure integration greater dependence on counterparties and diversification more counterparties per organization have different nonmonotonic effects on the extent of cascades diversification connects the network initially permitting cascades to travel but as it increases further organizations are better insured against one another s failures integration also faces trade offs increased dependence on other organizations versus less sensitivity to own investments finally we illustrate the model with data on european debt cross holdings jel d85 f15 f34 f36 f65 g15 g32 g33 g38 globalization brings with it increased financial interdependencies among many kinds of organizations governments central banks investment banks firms etc that hold each other s shares debts and other obligations such interdependencies can lead to cascading defaults and failures which are often avoided through massive bailouts of institutions deemed too big to fail recent examples include the us government s interventions in aig fannie mae freddie mac and general motors and the european commission s interventions in greece and spain although such bailouts circumvent the widespread failures that were more prevalent in the nineteenth and early twentieth centuries they emphasize the need to study the risks created by a network of interdependencies understanding these risks is crucial to designing incentives and regulatory responses which defuse cascades before they are imminent in this paper we develop a general model that produces new insights regarding financial contagions and cascades of failures among organizations linked through a network of financial interdependencies organizations values depend on each other e g through cross holdings of shares debt or other liabilities if an

systemic risk in financial systems we consider default by firms that are part of a single clearing mechanism the obligations of all firms within the system are determined simultaneously in a fashion consistent with the priority of debt claims and the limited liability of equity we first show via a fixed point argument that there always exists a clearing payment vector that clears the obligations of the members of the clearing system under mild regularity conditions this clearing vector is unique next we develop an algorithm that both clears the financial system in a computationally efficient fashion and provides information on the systemic risk faced by the individual system firms finally we produce qualitative comparative statics for financial systems these comparative statics imply that in contrast to single firm results even unsystematic nondissipative shocks to the system will lower the total value of the system and may lower the value of the equity of some of the individual system firms

the effects of real and nominal uncertainty on inflation and output growth some garch m evidence in this paper we use garch m methods to test four hypotheses about the effects of real and nominal uncertainty on average inflation and output growth in the united states from 1948 to 1996 we find no evidence that higher inflation uncertainty or higher output growth uncertainty raises the average inflation rate we also find no support for the idea that more risky output growth is associated with a higher average real growth rate our key result is that in a variety of models and sample periods inflation uncertainty significantly lowers real output growth copyright 2000 john wiley sons ltd

the asymmetric effects of oil price and monetary policy shocks a nonlinear var approach in this paper we investigate the asymmetric effects of oil price shocks and monetary policy on macroeconomic activity using monthly data for the united states over the period from 1983 1 to 2008 12 in doing so we use a logistic smooth transition vector autoregression var as detailed in terasvirta and anderson 1992 and weise 1999 and make a distinction between two oil price volatility regimes high and low using the realized oil price volatility as a switching variable we isolate the effects of oil price and monetary policy shocks and their asymmetry on output growth and following koop et al 1996 and weise 1999 we employ simulation methods to calculate generalized impulse response functions girfs to trace the effects of independent shocks on the conditional means of the variables our results suggest that in addition to the price of oil oil price volatility has an impact on macroeconomic activity and that monetary policy is not only reinforcing the effects of oil price shocks on output it is also contributing to the asymmetric response of output to oil price shocks

estimates of the variance of u s inflation based upon the arch model it is generally agreed that the unpredictability of future inflation is a major component of the welfare loss associated with inflation perfectly predicted inflation might induce some costs through institutional rigidities governmental interference and transaction costs but in the long run these should be rather minimal as these institutions adopt various forms of indexing when inflation is unpredictable risk averse economic agents will incur a loss even if prices and quantities are perfectly flexible in all markets inflation is a measure of the relative price of goods today and goods tomorrow thus uncertainty in tomorrow s price impairs the efficiency of today s allocation decisions friedman in his nobel lecture 8 argues convincingly that higher variability of inflation would lead to decreased output ceteris paribus he then conjectures that higher rates of inflation are generally associated with higher variability of inflation and presumably greater uncertainty about future rates if this is true then higher rates of inflation would also be associated with low levels of output which implies a positively sloped phillips curve this paper uses a new statistical technique arch to estimate the conditional mean and variance of inflation from u s time series data the main finding is that the variance of inflation in the seventies was only slightly greater than in the sixties

the effect of recessions on the relationship between output variability and growth this paper investigates the relationship between output volatility and growth using post war real gdp data for the united states we expand on recent research by beaudry and koop 1993 documenting the asymmetric effect of recessions on output growth the results presented in this paper suggest that output volatility is highest when the economy is contracting while we find that the economy expands most rapidly following a recession this expansion is offset by the negative impact of output uncertainty

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

macroeconomic effects of corporate default crisis a long term perspective abstract using an extensive data set on corporate bond defaults in the us from 1866 to 2010 we study the macroeconomic effects of bond market crises and contrast them with those resulting from banking crises during the past 150 years the us has experienced many severe corporate default crises in which 20 50 of all corporate bonds defaulted although the total par amount of corporate bonds has at times rivaled the amount of bank loans outstanding we find that corporate default crises have far fewer real effects than do banking crises these results provide empirical support for current theories that emphasize the unique role that banks and the credit and collateral channels play in amplifying macroeconomic shocks

caviar conditional autoregressive value at risk by regression quantiles value at risk var has become the standard measure of market risk employed by financial institutions for both internal and regulatory purposes var is defined as the value that a portfolio will lose with a given probability over a certain time horizon usually one or ten days despite its conceptual simplicity its measurement is a very challenging statistical problem and none of the methodologies developed so far give satisfactory solutions interpreting the var as the quantile of future portfolio values conditional on current information we propose a new approach to quantile estimation which does not require any of the extreme assumptions invoked by existing methodologies such as normality or i i d returns the conditional autoregressive value at risk or caviar model moves the focus of attention from the distribution of returns directly to the behavior of the quantile we specify the evolution of the quantile over time using a special type of autoregressive process and use the regression quantile framework introduced by koenker and bassett to determine the unknown parameters since the objective function is not differentiable we use a differential evolutionary genetic algorithm for the numerical optimization utilizing the criterion that each period the probability of exceeding the var must be independent of all the past information we introduce a new test of model adequacy the dynamic quantile test applications to simulated and real data provide empirical support to this methodology and illustrate the ability of these algorithms to adapt to new risk environments

cross country evidence on the link between volatility and growth this paper presents empirical evidence against the standard dichotomy in macroeconomics that separates growth from the volatility of economic fluctuations in a sample of ninety two countries as well as a sample of oecd countries the authors find that countries with higher volatility have lower growth the addition of standard control variables strengthens the negative relationship the authors also find that government spending induced volatility is negatively associated with growth even after controlling for both time and country fixed effects copyright 1995 by american economic association

modeling asymmetric comovements of asset returns existing time varying covariance models usually impose strong restrictions on how past shocks affect the forecasted covariance matrix in this article we compare the restrictions imposed by the four most popular multivariate garch models and introduce a set of robust conditional moment tests to detect misspecification we demonstrate that the choice of a multivariate volatility model can lead to substantially different conclusions in any application that involves forecasting dynamic covariance matrices like estimating the optimal hedge ratio or deriving the risk minimizing portfolio we therefore introduce a general model which nests these four models and their natural asymmetric extensions the new model is applied to study the dynamic relation between large and small firm returns article published by oxford university press on behalf of the society for financial studies in its journal the review of financial studies