estimating the effect of hierarchies on information use theory suggests that greater hierarchical distance between a subordinate and his boss makes it more di cult to share abstract and subjective information in decision making a novel data set put together from credit dossiers of large corporate loan applicants enables us to observe the information collected by loan o cers and also how it is used by the ultimate loan approving o cer we flnd that greater hierarchical geographical distance between the information collecting agent and the loan approving o cer leads to less reliance on subjective information and more on objective information by exploiting non linearities in the assignment rules that determine an applicant s hierarchical distance and using information collecting agent flxed efiects we show that our result cannot be driven by endogenous assignment of applicants we also flnd that higher frequency of interactions between the information collecting agent and loan approving o cer both over time and through geographical proximity helps mitigate the efiects of hierarchical distance on information use our results show that hierarchical distance in uences information use and highlights the importance of human touch in communication

option pricing for a jump diffusion model with general discrete jump size distributions we obtain a closed form solution for pricing european options under a general jump diffusion model that can incorporate arbitrary discrete jump size distributions including nonparametric distributions such as an empirical distribution the flexibility in the jump size distribution allows the model to better capture leptokurtic features found in real world data the model uses a discrete time framework and leads to a pricing formula that is provably convergent to the continuous time price as the discretization is increased the solution is easy to implement with fast convergence properties numerical results illustrate the efficiency and accuracy of the proposed model and highlight its robustness and flexibility this paper was accepted by noah gans stochastic models and simulation

the variance gamma v g model for share market returns a new stochastic process termed the variance gamma process is proposed as a model for the uncertainty underlying security prices the unit period distribution is normal conditional on a variance that is distributed as a gamma variate its advantages include long tailedness continuous time specification finite moments of all orders elliptical multivariate unit period distributions and good empirical fit the process is pure jump approximable by a compound poisson process with high jump frequency and low jump magnitudes applications to option pricing show differential effects for options on the money compared to in or out of the money copyright 1990 by the university of chicago

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

what is fractional integration a simple construction that will be referred to as an error duration model is shown to generate fractional integration and long memory an error duration representation also exists for many familiar arma models making error duration an alternative to autoregression for explaining dynamic persistence in economic variables the results lead to a straightforward procedure for simulating fractional integration and establish a connection between fractional integration and common notions of structural change two examples show how the error duration model could account for fractional integration in aggregate employment and in asset price volatility

forecasting the real output using fractionally integrated techniques the annual structure of the real gdp in the uk france germany and italy is examined by means of fractionally integrated techniques using a version of a testing procedure due to robinson journal of the american statistical association 84 1420 37 1994 it is shown that the series can be specified in terms of i d statistical models with d higher than 1 thus the series are nonstationary and non mean reverting the forecasting properties of the selected models for each country are also examined

a data analytic look at skewness and elongation in common stock return distributions this article explores the nature of skewness and elongation in daily common stock return distributions of individual firms using estimates of g for skewness and h for elongation obtained from tukey s g and h distributions both parametric and nonparametric bootstrap estimates of standard errors of the g estimates are computed and compared daily return distributions are first examined cross sectionally over a large sample of firms the estimates of the skewness parameter exhibit variation across individual firms but some general trends are evident across industry groups and firm sizes return distributions typically seem to be more elongated than the gaussian distribution from a time series perspective both skewness and elongation are persistent in the return distributions of individual firms and vary over a finite range first order autocorrelation coefficients of monthly g and h estimates are large and suggest a certain degree of predictability

nonnormalities and tests of asset pricing theories the robustness of the multivariate test of gibbons ross and shanken 1986 to nonnormalities in the residual covariance matrix is examined after considering the relative performance of various tests of normality simulation techniques are used to determine the effects of nonnormalities on the multivariate test it is found that where the sample nonnormalities are severe the size and or power of the test can be seriously misstated however it is also shown that these extreme sample values may overestimate the population parameters hence we conclude that the multivariate test is reasonably robust with respect to typical levels of nonnormality in traditional hypothesis testing a nonrandom test maps the values of a random variable into a sample space dichotomized into regions where a hypothesis is either accepted or rejected there are three possible outcomes from this process 1 a correct decision 2 a false rejection type i error or 3 failure to reject the hypothesis when it is false type ii error of the latter two types of error an error of the first kind is usually considered less desirable so typically a level of significance is selected with low probability of type i error e g 0 05 or 0 01 and a test is chosen so as to maximize power minimize probability of type ii error for the specified level of type i error knowledge of the relative level of these two errors is critical in assimilating the results of an experiment for example if the power of a test is equal to its significance level i e a weak test rejection of the null contains zero information 2 additionally in constructing parametric tests of hypotheses it is necessary to assume some distribution for the underlying data consequently when using parametric tests rejection of the null is only equivalent to rejection of at least one of the underlying hypotheses i e the null hypothesis or the distributional assumption interestingly the size significance level and power of procedures used to test

long memory and persistence in aggregate output abstract we examine persistence in u s aggregate output by estimating fractionally integrated arima models these models provide better low frequency approximations to the wold representation than previous stochastic specifications and earlier results on the importance of a permanent component emerge as special cases we find evidence of long memory which induces persistence though this long memory need not be associated with a unit root our point estimates indicate that macroeconomic shocks while persistent are distinctly less persistent than many earlier studies suggest however confidence intervals associated with the long run response are quite wide

mean reversion in the real exchange rates abstract robinson s j am stat assoc 89 1994 1420 fractionally based tests for unit roots and other hypotheses are applied to real exchange rate data between u s and five industrialized countries the results indicate that the series are fractionally integrated with mean reversion if the disturbances are autocorrelated

extracting market information from equity options with exponential levy processes levy processes have been successfully applied in the modeling of financial assets useful information such as implied volatility skewness and risk preferences can be derived from market option prices in this paper we advocate using esscher conjugate levy processes to estimate risk neutral and empirical densities more specifically we employ the exponential meixner and nig processes to calculate in closed form the pricing kernel in the equity market and then study the evolution of equity market behavior between 2002 and 2010 our empirical analysis using s p 500 options shows that the risk preferences of equity investors were signalling an anomaly in the market well before the subprime prime mortgage crisis august 2007 and the crisis of confidence that followed anticipating the downfall in equity markets in 2008 but then returning to normal levels in 2009

the repository of soft information within bank organizations we examine who is the repository of soft information within bank organizations inconsistent with the conventional view of loan officers as the sole repository we find that branch managers have the most soft information we also find the repository at a higher hierarchical level at smaller banks furthermore our evidence suggests that branch managers themselves actively collect soft information especially at smaller banks these findings suggest the need for a more nuanced view beyond the conventional emphasis on loan officers and call for studies on the equilibrium design of the collection processing and use of soft information within bank organizations

a more complete conceptual framework for sme finance abstract we propose a more complete conceptual framework for analysis of sme credit availability issues in this framework lending technologies are the key conduit through which government policies and national financial structures affect credit availability we emphasize a causal chain from policy to financial structures which affect the feasibility and profitability of different lending technologies these technologies in turn have important effects on sme credit availability financial structures include the presence of different financial institution types and the conditions under which they operate lending technologies include several transactions technologies plus relationship lending we argue that the framework implicit in most of the literature is oversimplified neglects key elements of the chain and often yields misleading conclusions a common oversimplification is the treatment of transactions technologies as a homogeneous group unsuitable for serving informationally opaque smes and a frequent misleading conclusion is that large institutions are disadvantaged in lending to opaque smes

bounds and prices of currency cross rate options abstract this paper derives the pricing bounds of a currency cross rate option using the option prices of two related dollar rates via a copula theory and presents the analytical properties of the bounds under the gaussian framework our option pricing bounds are useful because 1 they are general in the sense that they do not rely on the distribution assumptions of the state variables or on the selection of the copula function 2 they are portfolios of the dollar rate options and hence are potential hedging instruments for cross rate options and 3 they can be applied to generate bounds on deltas the empirical tests suggest that there are persistent and stable relationships between the market prices and the estimated bounds of the cross rate options and that our option pricing bounds obtained from the market prices of options on two dollar rates and the historical correlation of two dollar rates are highly informative for explaining the prices of the cross rate options moreover the empirical results are consistent with the predictions of the analytical properties under the gaussian framework and are robust in various aspects

the firm as a communication network this paper analyzes how organizations can minimize costs of processing and communicating information communication is costly because it takes time for an agent to absorb new information sent by others agents can reduce this time by specializing in the processing of particular types of information when these returns to specialization outweigh costs of communication it is efficient for several agents to collaborate within a firm it is shown that efficient networks involve centralization that individuals delegate tasks to subordinates only if they are overloaded and that the number of transits to the top tends to be equalized across individual information items

insider trading abnormal return and preferential information supervising through a probabilistic model abstract the enforcement of the ban on insider trading requires an evaluation of the disgorgement i e the capital gain of the insider trader who takes advantage of the exploitation of preferential information an initial step forward on this topic has been taken by the sec the united states securities and exchange commission which has developed a quantitative procedure based on the event study methodology this paper develops an adaptation of this procedure for the italian market and explains the limits of these methodologies in the analysis of the insider trading phenomenon in particular it emerges that the econometric approach cannot be applied to all insider trading schemes in fact in order to work out statistically significant results it relies on a series of assumptions such as the existence of a robust reference market index or the availability of long time series data for this reason a new procedure for computing the economic value of the information exploited by the insider based on a probabilistic approach has also been developed this methodology overcomes the issues connected to the event study procedure and can be applied by construction to all insider trading schemes and not only to the simplest ones in fact the model parameters are defined by using the trading strategy of the single insider thus if insider trading takes place the model is able to offer a disgorgement computation hence by hypotheses of its construction it is able to detect the difference between insiders and followers the new procedure has been adopted by consob and has been presented to the judicial system which is in charge of inflicting the fine

a general distribution for describing security price returns this paper introduces a generalized distribution called the gb2 distribution for describing security returns the distribution is extremely flexible containing a large number of well known distributions such as the lognormal log t and log cauchy distribu tions as special or limiting cases and allowing large even infinite higher moments this flexibility allows a direct representation of different degrees of fat tails in the distribution the properties of the gb2 make it useful in empirical estimation of security returns and in facilitating the development of option pricing models and other models that depend on the specification and mathematical manipulation of distributions copyright 1987 by the university of chicago

cointegration fractional cointegration and exchange rate dynamics multivariate tests due to johansen 1988 1991 as implemented by baillie and bollerslev 1989a and diebold gardeazabal and yilmaz 1994 reveal mixed evidence on whether a group of exchange rates are cointegrated further analysis of the deviations from the cointegrating relationship suggests that it possesses long memory and may possibly be well described as a fractionally integrated process hence the influence of shocks to the equilibrium exchange rates may only vanish at very long horizons in the article by baillie and bollerslev 1989a it is argued that seven different nominal spot and forward exchange rates all contain unit roots in their univariate time series representations at the same time however the spot exchange rates appear to be tied together in the long run through a cointegration type relationship the latter finding of baillie and bollerslev has attracted particular interest and several studies such as those by hakkio and rush 1991 and sephton and larsen 1991 have already addressed this issue using the same data as the baillie and bollerslev article sephton and larsen 1991 describe the evidence for the presence of cointegration as being fragile and note that mixed conclusions are reached by truncating the baillie and bollerslev sample at different points in time diebold gardeazabal and yilmaz 1994 henceforth diebold et al provide interesting evidence that application of the johansen 1988 1991 tests with and without an intercept will result in different inferences on the baillie and bollerslev data set furthermore diebold et al carry out an ex ante forecasting experiment and find that the addition of an error correction term to the martingale model as implied by the standard cointegration paradigm fails to reduce the prediction mean square error when compared to a simple martingale model this therefore leads diebold et al to conclude that there exists substantial uncertainty regarding the existence of cointegration relationships among nominal dollar exchange rates this article provides some additional evidence on the existence of such a long run relationship among the same seven nominal spot exchange rates after further analysis it appears that a form of cointegration does exist between the exchange rates so that they do not drift apart in the long run we argue that this form of cointegration is

the bootstrap approach for testing skewness persistence this study presents a new methodology for testing changes in skewness between time periods or samples using the bootstrap method a monte carlo simulation experiment was conducted to compare the effectiveness of the bootstrap method with the method suggested by lau wingender and lau 1989 to test skewness persistence the results show the bootstrap method to be more powerful than the other method the bootstrap method was also used to determine the persistence of skewness in stock returns the results show that in a large percentage of stocks skewness persists over time

role of collateral and personal guarantees in relationship lending evidence from japan s sme loan market this paper investigates the determinants of the use of collateral and personal guarantees in japan s sme loan market we find that firms riskiness does not have a significant effect on the likelihood that collateral is used we find however that main banks whose claims are collateralized monitor borrowers more intensively and that borrowers who have a long term relationship with their main banks are more likely to pledge collateral these findings are consistent with the theory that the use of collateral is effective in raising the bank s seniority and enhances its screening and monitoring this incentive effect for the bank becomes tenuous for personal guarantees

the benefits of lending relationships evidence from small business data this paper empirically examines how ties between a firm and its creditors affect the availability and cost of funds to the firm we analyze data collected in a survey of small firms by the small business administration the primary benefit of building close ties with an institutional creditor is that the availability of financing increases we find smaller effects on the price of credit attempts to widen the circle of relationships by borrowing from multiple lenders increases the price and reduces the availability of credit in sum relationships are valuable and appear to operate more through quantities rather than prices

the time variance relationship of security returns implications for the return generating stochastic process using a test statistic which specifically allows for parameter shifts over time we investigate the time variance relationship of security returns the null hypothesis of stationary and independent increments is rejected and the existence of a complex short term reversal phenomenon is reported