investor preference for large firms new evidence on economies of size in the last several decades industrial organization literature has been replete with studies demonstrating a systematic relationship between accounting rates of return and firm size in the direction of greater and more stable accounting profits for larger firms these studies have been subject to criticism for an alarming number of statistical and conceptual problems the most important of which alleges a serious bias in accounting profit measures as proxies for economic profit 2 the criticisms have resulted in a stalemate in the interpretation of empirical evidence on firm size and performance nevertheless there is continued interest in the area ostensibly resulting from policy concerns with large firm advantages in both product and capital markets this paper provides new evidence concerning the industrial organization literature controversy of the connection between firm size and performance stock market data are used to examine the relationship between capital market returns risk and firm size the findings suggest that even if there were no advantages of large size in the product market equal rates of operating profit large firms would still have a substantial capital raising advantage over small firms this advantage is unrelated to the widely recognized floatation cost economies even after controlling for nondiversifiable risk using the capital asset pricing model capm investors still demonstrate a statistically significant and economically important preference for the securities of larger firms investors apparently place a premium on large firms which is not attributable to large firms observed lower risk as captured by the widely used measure of nondiversifiable risk beta risk this finding a fresh contribution to the

the valuation of american options with stochastic interest rates a generalization of the geske johnson technique the geske johnson approach provides an efficient and intuitively appealing technique for the valuation and hedging of american style contingent claims here we generalize their approach to a stochastic interest rate economy the method is implemented using options exercisable on one of a finite number of dates we illustrate how the value of an american style option increases with interest rate volatility the magnitude of this effect depends on the extent to which the option is in the money the volatilities of the underlying asset and the interest rates as well as the correlation between them

a simplified jump process for common stock returns the specification of a statistical distribution which accurately models the behavior of stock returns continues to be a salient issue in financial economics with the introduction of arithmetic and geometric brownian motion models much attention has recently focused on a poisson mixture of distributions as an appropriate specification of stock returns for example see 12 3 8 10 5 and 1 consistent with empirical evidence these models yield leptokurtic security return distributions and furthermore the specification has much economic intuition in particular one may always decompose the total change in stock price into normal and abnormal components the normal change may be due to variation in capitalization rates a temporary imbalance between supply and demand or the receipt of any other information which causes marginal price changes this component is modelled as a lognormal diffusion process the abnormal change is due to the receipt of any information which causes a more than marginal change in the price of the stock and is usually modeled as a poisson process

financial market illiquidity shocks and macroeconomic dynamics evidence from the uk we examine the link between financial market illiquidity and macroeconomic dynamics by fitting a bayesian time varying parameter var with stochastic volatility to uk data from 1988q1 to 2016q4 we capture liquidity conditions in the stock market using a battery of illiquidity proxies this paper departs from previous studies examining macro financial linkages by using theoretically grounded sign restrictions and conducting structural inference in a non linear framework we document both statistically significant differences in the transmission of these shocks and substantial increases in the economic importance of these shocks during the 2008 recession

empirical evidence on dividends as a signal of firm value the role of dividends in firm valuation continues to be a theoretical puzzle as well as an empirical obsession with economists the pioneering work by modigliani and miller mm 32 29 is the archetype of the theoretical dilemma whereas the authors proved convincingly the irrelevance of dividend policy to firm value within a perfect capital market they tempered their irrelevance proposition with what is usually referred to as the information content of dividends icd hypothesis in a more scientific sense this hypothesis should be labeled as a conjecture since it is essentially an ad hoc observation that dividends may convey information to the capital market concerning a firm s future earnings potential even though the icd hypothesis was not derived from a well specified economic model it has nevertheless been subjected to a plethora of empirical studies in general these studies have focused upon the precise influence of dividend changes upon a firm s common stock price overall the results can be described as being supportive of the notion that stock price movements are positively correlated with cash dividend changes this correlation of course is consistent with the icd hypothesis

the mispricing of u s treasury bonds a case study this article documents an apparent pricing anomaly involving 94 percent 30 year treasury bonds during the months of may and june 1986 during this period the price of the 94s rose sharply relative to the prices of other long term treasury bonds and created a potential arbitrage opportunity in addition owners of the 94 bonds were able to borrow at a zero interest rate bypledging their bonds detailed examination reveals that this relative pricing anomaly cannot be attributed to changes in the level or term structure of interest rates or to differences between the bonds with respect to liquidity taxation or duration

capital flows and gdp in emerging economies and the role of global spillovers abstract this paper provides a global analysis of capital flow impacts on gdp for selected emerging economies as additional control variables we also include currency reserves and effective exchange rates in our analysis we distinguish between gross and net capital flows and also assess the impact of both fdi and portfolio flows accounting for the fact that common factors have been the main drivers of capital flows while country specific determinants pull factors drive the response to such shocks we analyze shocks to country groups but consider country specific responses based on a bayesian time varying panel var framework in the spirit of canova and ciccarelli 2009 based on a sample of 24 economies our results show a robust positive effect of capital flows on gdp except for korea both gross and net capital flows display a positive impact for around two quarters the impact of effective exchange rates on gdp hardly offers an explanation for a possible transmission of capital flow effects with effective depreciations both positively and negatively linked to gdp we also find that the effect of net portfolio flows is even more positive compared to net fdi flows for emerging economies finally we provide evidence that the importance of global factors increases in times of crises

a new index of financial conditions we use factor augmented vector autoregressive models with time varying coefficients and stochastic volatility to construct a financial conditions index that can accurately track expectations about growth in key us macroeconomic variables time variation in the models parameters allows for the weights attached to each financial variable in the index to evolve over time furthermore we develop methods for dynamic model averaging or selection which allow the financial variables entering into the financial conditions index to change over time we discuss why such extensions of the existing literature are important and show them to be so in an empirical application involving a wide range of financial variables

pricing american options under stochastic volatility and stochastic interest rates we introduce a new analytical approach to price american options using an explicit and intuitive proxy for the exercise rule we derive tractable pricing formulas using a short maturity asymptotic expansion depending on model parameters this method can accurately price options with time to maturity up to several years the main advantage of our approach over existing methods lies in its straightforward extension to models with stochastic volatility and stochastic interest rates we exploit this advantage by providing an analysis of the impact of volatility mean reversion volatility of volatility and correlations on the american put price

estimation risk and stability of optimal portfolio composition abstract the mean variance portfolio models indicate that for optimal investment decisions the true ex ante values of the model parameters should be used instead in practice ex post parameter estimates are used if in the estimation process the probability distribution of estimators is not known there is a problem of estimation risk this paper investigates the impact of estimation risk on the composition of optimal portfolios as the multivariance distribution of the vector of optimal portfolio weights allocated to risky assets is analytically intractable a use of the monte carlo simulation experimental is made this study suggests that the composition of optimal portfolio is relatively more stable when the estimates of model parameters are obtained from longer series of historical observations or the expected portfolio return is low

market based empirical research in accounting a review interpretation and extension a decade and a half of the most concerted and ambitious research effort in accounting history is evaluated here it is the search into the relationship between publicly disclosed accounting information and the consequences of the use of this information by the major group of usersequity investors as such consequences are reflected in characteristics of common stocks traded in major exchanges this research effort known as market based accounting research mbar obtained its impetus from major developments in finance theory during the late 1950s and early 1960s these were the portfolio selection theory and its offspring the capital asset pricing model capm and the concept of informationally efficient capital markets ecm subsequent developments in information economics agency theory and optimal incentive signaling models were quickly incorporated into mbar while the impetus to this line of research came from other disciplines accounting was not only a beneficiary but also to a modest extent a benefactor mbar is relevant to the study of capital market efficiency the capm information economics and regulation this contribution distinguishes mbar from most accounting areas whose contributions to other disciplines are negligible in

the american put option valued analytically an analytic solution to the american put problem is derived herein the hedge ratio and other derivatives of the solution are presented the formula derived implies an exact duplicating portfolio for the american put consisting of discount bonds and stock sold short the formula is extended to consider put options on stocks paying cash dividends a polynomial expression is developed for evaluating these formulae values and hedge ratios for puts on both dividend and nondividend paying stocks are calculated tabulated and compared with values derived by numerical integration and binomial approximation as with european options evaluating an analytic formula is more efficient than approximating the stock price process or the partial differential equation by binomial or finite difference methods finally applications of this american put solution are discussed

firms fiscal years size and industry abstract most u s corporations choose their fiscal years to coincide with the calendar year we document that the larger the firm the more likely it is to begin its fiscal year in january this finding holds across industries

market implication of predisc10sure information size and exchange effects differential market reactions to earnings announcements can inter alia be ascribed to the extent to which such announcements entail surprise i e unexpected information the greater the predisclosure information the less the surprise element in earnings announcements since there is no direct measure of predisclosure information the literature has utilized two different proxies i firm size the size effect atiase 1980 1985 and ii exchange listing the exchange effect grant 1980 atiase 1980 argues that private predisclosure information production and dissemination are an increasing function of firm size capitalization if so the amount of unexpected information conveyed to the market by actual earnings reports should be inversely related to firm size other things equal empirical evidence in atiase 1985 supports this hypothesis grant 1980 found that for otc firms the average price revaluation associated with annual earnings announcements is significantly higher in the report week relative to both nonannouncement

macroeconomic forecasting and structural change the aim of this paper is to assess whether explicitly modeling structural change increases the accuracy of macroeconomic forecasts we produce real time out of sample forecasts for inflation the unemployment rate and the interest rate using a time varying coefficients var with stochastic volatility tv var for the us the model generates accurate predictions for the three variables in particular for inflation the tv var outperforms in terms of mean square forecast error all the competing models fixed coefficients vars time varying ars and the na ove random walk model these results are also shown to hold over the period commonly referred to as the great moderation

the analytic valuation of american options no analytic solutions exists for the valuation of american options written on futures contracts and foreign currencies for which early exercise may be optimal this article formulates the american option valuation problem in economically and mathematically meaningful ways this enables us to derive valuation formulas for american options the properties associated with the optimal exercise boundary are examined and a numerical technique to implement the valuation formulas is presented article published by oxford university press on behalf of the society for financial studies in its journal the review of financial studies

on the diversification observability and measurement of estimation risk this paper reexamines how risk return relationships are affected by investor uncertainty about the exact parameters of the joint rate of return distribution we attempt to clarify results relating to three central issues first we address the issue of diversification focusing on an apt factor model framework second we discuss the observability of estimation risk and describe research experimental designs that should encompass the existence of estimation risk and reveal it in the data finally we suggest exploiting contemporaneous return observations on high and low information securities to aid in the measurement of return parameters for low information securities

predisclosure information firm capitalization and security price behavior around earnings announcements several studies on the relationship between earnings reports and security price behavior provide evidence suggesting that a significant portion of the information revealed through earnings reports is reflected in security prices prior to the report month e g ball and brown 1968 and brown and kennelly 1972 this has been attributed at least partly to the existence of other more timely sources of information which allow market agents to forecast earnings prior to their release the evidence above reflects an average finding across all firms one question of interest is whether there are significant systematic crosssectional differences in the security price reactions to earnings announcements of firms which are associated with specific firm characteristics that lead to differential amounts of predisclosure information this study focuses on firm size capitalization as one such characteristic a firm

information and diversity of analyst opinion this paper examines problems in the use of divergence of analyst opinion as a proxy for estimation risk in empirical studies of security returns and asset pricing models we demonstrate that diversity of opinion can increase even though the amount of private information increases and we show that diversity of opinion may overstate estimation risk if the capital market aggregates the information held by investors we produce empirical results consistent with our conclusions specifically we find that divergence of opinion can produce measures of estimation risk that are inconsistent with a received proxy for estimation risk and with observed common stock returns

nonstationary expected returns abstract recent evidence reveals significant negative serial correlation in aggregate market wide stock returns we extend this result to relative market adjusted returns demonstrating negative serial correlation in five year returns we then test two competing explanations 1 market mispricing and 2 changing expected returns in an efficient market the tests are conducted using the capital asset pricing model to estimate relative returns the evidence suggests that negative serial correlation in relative returns is due almost entirely to variation in relative risks and therefore expected relative returns through time we document substantial relative risk shifts particularly for extreme performing stocks

risk return and equilibrium a revisit this paper reports the results of tests of the major implications of the two parameter capital asset pricing model the findings indicate that the relationship between stock returns and systematic risk contains important nonlinearities during 1935 82 these nonlinearities cannot be ascribed to previously documented anomalies related to firm size or january seasonality moreover the test results appear to be sensitive to the choice of the proxy for the market portfolio

the turn of the year in canada a number of investigators have reported that january stock returns in the u s exceed returns for other months of the year this paper documents a similar finding for canadian stocks over the period 1951 1980 however canada did not introduce a capital gains tax until 1973 and the paper reports that january returns in canada exceed returns for other months of the year before and after this date thus these data do not support the tax loss selling pressure hypothesis as the entire explanation for the turnof the year effect in stock returns nor by implication do they support the tax lossselling pressure hypothesis as the complete explanation for the small firm effect in u s stocks returns recently keim 9 has reported that returns on nyse and ase firms with small market values exceed by significant margins returns on firms with large market values this result was previously reported by banz 1 and reinganum 11 but keim s analysis shows that most of the excess return for small firms is concentrated in january indeed it is concentrated in the first two weeks in january roll 13 also documents this phenomenon and investigates a number of possible explanations for it 2 after rejecting several possible nonexploitable explanations roll is left with year end tax loss selling pressure of the sort discussed by branch 2 dyl 5 and givoly and ovadia 6 as the most likely explanation of this result according to the tax loss selling pressure hypothesis toward the end of the year stockholders sell stocks that have declined in price during the year investors do this to take advantage of the opportunity to write off capital losses against ordinary income in computing their federal income taxes the year end sell off exerts downward pressure on stock prices as soon as the tax and calendar year ends the selling pressure is relieved and stock prices quickly rebound to their equilibrium levels roll 13 presents some evidence consistent with this hypothesis specifically he finds a negative correlation between stock returns in january and returns over the previous 12 months that is stocks that decrease in value during the year tend to be big gainers in january roll also finds that

measuring uncertainty and its impact on the economy we propose a new framework for measuring uncertainty and its effects on the economy based on a large var model with errors whose stochastic volatility is driven by two common unobservable factors representing aggregate macroeconomic and financial uncertainty the uncertainty measures can also influence the levels of the variables so that contrary to most existing measures ours reflect changes in both the conditional mean and volatility of the variables and their impact on the economy can be assessed within the same framework moreover identification of the uncertainty shocks is simplified with respect to standard var based analysis in line with the favar approach and with heteroskedasticity based identification finally the model which is also applicable in other contexts is estimated with a new bayesian algorithm which is computationally efficient and allows for jointly modeling many variables while previous var models with stochastic volatility could only handle a handful of variables empirically we apply the method to estimate uncertainty and its effects using us data finding that there is indeed substantial commonality in uncertainty sizable effects of uncertainty on key macroeconomic and financial variables with responses in line with economic theory

dynamics of global business cycle interdependence abstract in this paper we provide a comprehensive analysis of the time varying interdependence among the economic cycles of the major world economies during the post great moderation period we document a significant increase in the global business cycle interdependence occurred in the early 2000s such increase is mainly attributed to the emerging market economies since their business cycles became more synchronized with the rest of the world around that time moreover we find that the increase in global interdependence is highly related to decreasing differences in sectoral composition among countries

crossovers dividends and the size effect the size effect may have been the result of high stock volatility and low dividend payments suppose an equity market is partitioned into a large stock index and a small stock index and suppose that over a given period of time each of the indexes retains its share of the total market capitalization price volatility will cause some stocks to cross over from one index to the other which will result in higher returns for the small stock index and lower returns for the large stock index dividend payments by large companies could offset the effect of the crossovers but they have historically been insufficient to do so hence the size effect

assessing systemic risks and predicting systemic events abstract the paper develops a framework for assessing systemic risks and for predicting systemic events i e periods of extreme financial instability with potential real costs it contributes to the literature on the prediction of financial crises mainly in two ways first it uses a financial stress index for identifying the starting date of systemic financial crises second it uses discrete choice models that combine both domestic and global indicators of macro financial vulnerabilities to predict systemic financial crises the performance of the models is evaluated in a framework that takes into account policy maker s preferences between missing crises and issuing false alarms our analysis shows that combining indicators of domestic and global macro financial vulnerabilities substantially improves the models ability to forecast systemic financial crises our framework also displays a good out of sample performance in predicting the ongoing global financial crisis

relation between market model prediction errors and omitted variables a methodological note a number of accounting studies have examined market model prediction errors to evaluate the share price effects of various events such as voluntary or mandatory accounting changes a common approach is to examine the prediction errors around the event date of a portfolio of potentially affected firms this approach has been extended recently through the use of cross sectional regressions e g leftwich 1981 holthausen 1981 collins rozeff and dhaliwal 1981 sepe 1982 and chow 1983 in which prediction errors or raw returns are regressed on firm specific variables such as size the purpose of this paper is to examine the implications of some recent findings in finance for the various finance based empirical accounting studies in general two types of omitted variables from the standard capital assets pricing model have been identified first several studies have reported that certain firm specific variables such as size banz 1981 and reinganum 1981 earnings yield basu 1975 1983 and dividend payout ratio litzenberger and ramaswamy 1979 may be omitted variables from the standard capm in addition other studies have found some special time series characteristics of stock returns such

taxes and stock return seasonality evidence from the london stock exchange prior to the introduction of capital gains taxes seasonality is not detected in the returns of firms that traded on the london stock exchange however after the imposition of a capital gains tax the british stock return data exhibit apparent monthly effects in both jan uary and april additional analysis reveals that while the april effect is consistent with the tax loss selling hypothesis the january effect cannot be attributed solely to the introduction of capital gains taxation furthermore the authors efforts indicate that much caution should be exercised when interpreting studies that compare results from non u s data sources with those from u s data copyright 1987 by the university of chicago

forecasting government bond yields with large bayesian vector autoregressions abstract we propose a new approach to forecasting the term structure of interest rates which allows to efficiently extract the information contained in a large panel of yields in particular we use a large bayesian vector autoregression bvar with an optimal amount of shrinkage towards univariate ar models the optimal shrinkage is chosen by maximizing the marginal likelihood of the model focusing on the us we provide an extensive study on the forecasting performance of the proposed model relative to most of the existing alternative specifications while most of the existing evidence focuses on statistical measures of forecast accuracy we also consider alternative measures based on trading schemes and portfolio allocation we extensively check the robustness of our results using different datasets and monte carlo simulations we find that the proposed bvar approach produces competitive forecasts systematically more accurate than random walk forecasts even though the gains are small

misspecification of capital asset pricing this study documents empirical anomalies which suggest that either the simple one period capital asset pricing model capm is misspecified or that capital markets are inefficient in particular portfolios based on firm size or earnings price e p ratios experience average returns systematically different from those predicted by the capm furthermore the abnormal returns persist for at least two years this persistence reduces the likelihood that these results are being generated by a market inefficiency rather the evidence seems to indicate that the equilibrium pricing model is misspecified however the data also reveals that an e p effect does not emerge after returns are controlled for the firm size effect the firm size effect largely subsumes the e p effect thus while the e p anomaly and value anomaly exist when each variable is considered separately the two anomalies seem to be related to the same set of missing factors and these factors appear to be more closely associated with firm size than e p ratios

the association between accounting earnings and security returns for large and small firms abstract the differential information hypothesis advanced by atiase 1980 states that information production and dissemination by private parties for the purpose of identifying mispriced securities is an increasing function of firm size this study examines two corollaries of that hypothesis first security prices of large firms anticipate accounting earnings earlier than security prices of small firms second for a given level of unexpected earnings the cumulative abnormal returns of small firms exceed those of large firms the results are generally consistent with atiase s hypothesis

supplanting the minnesota prior forecasting macroeconomic time series using real business cycle model priors abstract although general equilibrium models are in wide use in the theoretical macroeconomic literature their empirical relevance is uncertain we develop procedures for using dynamic general equilibrium models to aid in analyzing the observed time series relationships among macroeconomic variables our strategy is based on that developed by doan litterman and sims 1984 who constructed a procedure for improving time series forecasts by shrinking vector autoregression coefficient estimates toward a prior view that vector time series are well described as collections of independent random walks in our case the prior is derived from a fully specified general equilibrium model we demonstrate that like the atheoretical random walk priors real business cycle model priors can aid in forecasting

comments on whaley s note abstract valuation by duplication is a useful conceptual technique but it does not yield unique formula many duplicating portfolios some simpler than the three security portfolio in roll and whaley exist for this problem valuing the actual single security will generally yield conceptually and computationally simpler solutions

the aftermarket performance of small firm initial public offerings abstract the dream of many entrepreneurs is to some day take his or her growing small firm public and to thereby become the ceo of a publicly traded corporation currently entrepreneurs are continuing to utilize initial public offerings ipos as a viable source of venture financing ipos also represent a viable mechanism for harvesting venture capital and entrepreneurial investments the touted entrepreneurial benefits of taking a company public include the abilities to borrow additional funds return to the public equity market negotiate mergers without depleting cash the potential for enhanced personal wealth and so forth investors in small firm public equity issues are often motivated by the potential for discovering another apple computer or perhaps an ibm at the ground floor this study empirically examines the aftermarket returns of small publicly held firms that have issued initial public offerings aftermarket returns refers to stock returns immediately after a stock begins trading the study specifically examines two questions first is there a positive risk return relationship for small firm aftermarket returns where higher firm risk will generate higher aftermarket return second will aftermarket returns show on industry effect where certain industries will automatically generate higher returns answers to these questions will affect the strategic financial alternatives available to entrepreneurs both before and after going public and will also affect the decisions of investors interested in financing small public corporations the research findings indicate that entrepreneurs planning to take younger firms public will probably not have available to them numerous subsequent financial alternatives utilizing corporate stock if the true aftermarket performance of their stock is taken into consideration likewise investors in small firm public issues may also be disappointed in the aftermarket performance of younger firms a positive risk return relationship where age was a proxy measure of risk did not exist this was true even though the initially quoted returns of these same younger firms may have been substantial on the other hand the aftermarket performance of older firms is typically favorable finally the study suggests that neither entrepreneurs nor investors should bet solely on a particular industry categorization to carry their aftermarket stock performance while certain industries indicated significant positive initial returns aftermarket returns based on industry classification were generally not statistically significant investors should therefore always exercise firmspecific due diligence and research before investing in small firm public equity issues since the variance of their aftermarket market returns tends to be large

mandated accounting changes and debt covenants the case of oil and gas accounting abstract the relationships among mandated accounting changes bond covenants and security prices has been the focus of several studies these studies have provided mixed evidence on the existence of a bond covenant effect on security prices this paper suggests that inconclusive prior results are a consequence of inappropriately measuring the default risk of debt using an option pricing framework it is shown that the debt to equity alone is not an adequate measure of default risk in particular both the debt to equity ratio and the total risk of the firm are necessary to adequately model the bond covenant effects of an accounting change these theoretical propositions are supported by the empirical analysis of the security market reaction to changes in oil and gas accounting

the american put option and its critical stock price we derive an expression for the critical stock price for the american put we start by expressing the put price as an integral involving first passage probabilities this approach yields intuition for merton s result for the perpetual put we then consider the finite lived case using 1 the fact that the put value ceases to depend on time when the critical stock price is reached and 2 the result that an american put equals a european put plus an early exercise premium we derive the critical stock price we approximate the critical stock price function to compute accurate put prices kim 1990 jacka 1991 and carr jarrow and myneni 1992 showed that the american put price is equal to the corresponding european put price plus an integral representing the early exercise premium however to use their approach one needs to know the critical stock price which may be defined in three equivalent ways 1 it is the value of the stock price at which one is indifferent between exercising and not exercising the put

empirical estimates of beta when investors face estimation risk we examine empirical implications of models of differential information that formalize the following intuition securities for which there is relatively little information are perceived as relatively more risky because of the greater uncertainty surrounding the exact parameters of their return distributions the implication that beta risk for low information firms should decline as information increases is confirmed with several data sets we find such a decline over the first geveral periods subsequent to initial public offerings and initial listings there is also an abrupt risk decline at the first annual earnings announcement this paper examines several empirical implications of security return models involving differential information these models formalize the following intuition securities for which there is relatively little information are perceived as relatively more risky because of the greater uncertainty surrounding the exact parameters of their return distributions the research relates to two streams of literature the first revolves around the new issues and new listings market it begins with ibbotson 1975 and includes for example ritter 1984 beatty and ritter 1986 mcconnell and sanger 1987 and muscarella and vetsuypens 1989 the second is the literature dealing with the effects of differential information on the risk assessment of low information firms this second literature is exemplified by the work of klein and bawa 1976 1977 and barry and brown 1984 1985 in our examination we focus on how increased risk associated with low information firms henceforth called estimation risk manifests itself in observed return data we explore how observed security returns to low information firms appear to researchers in relation to how they appear ex ante to investors who base their predictive distribution of security returns on incomplete information about the parameters of the return generating process we also examine data on new listings and new issues to exemplify some of the relationships the data support the most obvious and direct implication of the differential information model that the expected systematic risk of low information firms decreases as time passes and information increases our evidence as in ibbotson that risk declines with seasoning rejects a restrictive null hypothesis that information risk is diversifiable and the under

risk and return abstract this paper examines the seasonality in the basic relationship between expected return and risk during 1935 82 the results reveal that the positive relationship between return and risk is unique to january the risk premiums during the remaining eleven months are not significantly different from zero

monetary policy shocks and financial conditions a monte carlo experiment abstract the effects of monetary policy shocks on financial conditions are often estimated by appealing to recursive vector autoregressions vars we assess the ability of this class of vars to recover the true effects of a monetary policy shock via a monte carlo experiment in which the data generating process is a dynamic stochastic general equilibrium dsge model featuring macro finance interactions and estimated with u s quarterly data our dsge model predicts a negative and significant reaction of financial conditions to an unexpected monetary policy tightening we point out that such reaction is just overlooked by recursive vars moreover we show that cholesky vars may substantially underestimate the welfare costs due to macroeconomic fluctuations

on the use of holdout samples for model selection researchers often hold out data from the estimation of econometric models to use for external validation however the use of holdout samples is suboptimal from a bayesian perspective which prescribes using the entire sample to form posterior model weights this paper examines a possible rationale for the use of holdout samples data inspired modifications of structural models are likely to lead to an exaggeration of model fit the use of holdout samples can in principle set an incentive for the modeler not to exaggerate model fit

using jump diffusion return models to measure differential information by firm size portfolios of stocks issued by small firms are well known to earn rates of return in excess of those commensurate with their market sensitivities one common explanation for this phenomenon is that small firm stocks are riskier than large firm stocks because less information is available about the former than about the latter a necessary condition for such an explanation to be valid is that the information effect not be eliminated by combining the individual stocks into portfolios this paper uses jump diffusion return models to gauge the impact of information by firm size the results show that portfolios of small firm stocks are no more prone to information surprises than are portfolios of large firm stocks however portfolios of small firm stocks are found to react more severely than portfolios of large firm stocks when surprises do occur

the relation between common stock returns trading activity and market value this study examines the relation between common stock returns trading activity and market value our results indicate that although firm size and trading activity are highly correlated differences in trading activity are not the underlying reason for the firm size anomaly the finding of systematic differences in risk adjusted returns across stocks of firms of different size recent empirical research has revealed systematic differences in risk adjusted returns for common stocks of firms of different sizes as measured by the market value of outstanding common stock see banz 1 and reinganum 5 roll 7 in a recent paper has suggested that the firm size anomaly may result from errors in risk measurement in particular roll suggested that because small firms trade less frequently than large firms risk measures obtained from daily or weekly returns data may seriously underestimate the risk associated with holding a portfolio of small firms in response to roll s conjecture reinganum 6 examined the risk adjusted returns of portfolios formed on the basis of firm size using both the scholes williams 8 and the dimson 2 aggregated coefficient method of estimating portfolio betas and found that regardless of the beta estimation technique employed differences in estimated betas were insufficient to account for differences observed in the returns of size ranked portfolios if reinganum s 6 finding is correct that the firm size effect is not attributable to a misassessment of risk and if smaller firms trade less frequently than do larger firms then firm size may merely proxy for trading activity 1 thus the observed firm size effect may be explained in terms of a liquidity premium associated with inactively traded shares the purpose of this paper is to determine whether or not the firm size anomaly is explicable in terms of differences in the trading activity of common stocks a liquidity premium would provide a logically appealing explanation for the firm size effect tinic 11 demsetz 3 and others have argued that transactions costs vary inversely with trading activity as measured by average number of

new insights on testing the efficiency of methods of pricing and hedging american options abstract with reference to the evaluation of the speed precision efficiency of pricing and hedging of american put options we present and discuss numerical results obtained on the basis of four different large enough random samples according to the relevance of the american quality relative importance of the early exercise opportunity of the options here we provide a comparison of the best methods lattice based numerical methods and an approximation of the american premium analytical procedure known in literature along with some key methodological remarks

cost of capital to the hospital sector this paper provides estimates of the cost of equity and debt capital to for profit and non profit hospitals in the u s for the years 1972 83 the cost of equity is estimated using alternatively the capital asset pricing model and arbitrage pricing theory we find that the cost of equity capital using either model substantially exceeded anticipated inflation the cost of debt capital was much lower accounting for the corporate tax shield on debt and capital paybacks by cost based insurers lowered the net cost of capital to hospitals

differential information and security market equilibrium we propose a simple model of equilibrium asset pricing in which there are differences in the amounts of information available for developing inferences about the returns parame ters of alternative securities in contrast with earlier work we show that parameter uncer tainty or estimation risk can have an effect upon market equilibrium under reasonable conditions securities for which there is relatively little information are shown to have relatively higher systematic risk when that risk is properly measured ceteris paribus the initially very limited model is shown to be robust with respect to relaxation of a number of its principal assumptions we provide theoretical support for the empirical examination of at least three proxies for relative information period of listing number of security returns observations available and divergence of analyst opinion

detecting structural breaks and identifying risk factors in hedge fund returns a bayesian approach abstract extending previous work on asset based style factor models this paper proposes a model that allows for the presence of structural breaks in hedge fund return series we consider a bayesian approach to detecting structural breaks occurring at unknown times and identifying relevant risk factors to explain the monthly return variation exact and efficient bayesian inference for the unknown number and positions of the breaks is performed by using filtering recursions similar to those of the forward backward algorithm existing methods of testing for structural breaks are also used for comparison we investigate the presence of structural breaks in several hedge fund indices our results are consistent with market events and episodes that caused substantial volatility in hedge fund returns during the last decade

are emerging market indicators of vulnerability to financial crises decoupling from global factors abstract this paper assesses the extent to which common factors underlie indicators of vulnerability to financial crises in emerging market economies emes and whether this link is changing over time we use a bayesian dynamic common factor model to estimate their common component in a sample of up to 41 countries including both developed as well as emerging economies this permits us to interpret the component in common to both of them as a global factor we introduce time variation into the model to investigate whether indicators are decoupling from global factors over time while decoupling can be observed in a few cases the exposure to global factors in most countries tends to fluctuate around the mean broadly speaking then the answer is no

an empirical study of selected factors influencing the decision to list on foreign stock exchanges the growing internationalization of capital markets suggests that an increasing number of firms perceive the benefits of listing their stocks on foreign exchanges as outweighing the related costs many other firms however still limit listing their securities to their domestic exchanges this study investigates the motives for listing abroad the empirical analyses based on data on 481 multinationals indicate significant association between the likelihood of listing abroad and 1 the relative size of a firm in its domestic capital market 2 the ratio of foreign to total sales

are seasonal anomalies real a ninety year perspective in recent years there has been a proliferation of empirical studies documenting unexpected or anomalous regularities in security rates of return in addition to the widely studied relation between firm size and rate of return 1 these include seasonal regularities related to the time of the day harris 1986 the day of the week see ball and bowers 1986 cross 1973 french 1980 gibbons and hess 1981 jaffe and westerfield 1985 keim and stambaugh 1984 and lakonishok and levi 1982 the time of the month ariel 1987 and the turn of the year see haugen and lakonishok 1988 jones pearce and wilson 1987 lakonishok

event study methodologies and the size effect abstract this study of 862 press recommendations demonstrates that the size effect can distort longer term performance measures and hence event studies relative to similar sized companies post publication performance is neutral however market adjustments the capm and market model with equally or capitalization weighted indexes all produce biased results event studies are most exposed to such bias when the measurement interval is long event securities differ systematically in size or weighting from the index constituents the size effect is large and or volatile and when capm type methodologies are used these distortions are avoided by explicitly controlling for size

warrant pricing jump diffusion vs black scholes this paper investigates the warrant pricing abilities of dilution adjusted versions of the black scholes and jump diffusion option pricing models because of the typically long lives of warrants their pricing is hypothesized to benefit from use of the jump diffusion model which relaxes the black scholes restriction against stock price jumps empirical results indicate that while the black scholes model almost uniformly provides more efficient estimates the jump diffusion model generally provides less biased estimates of market value particularly for the valuation of out of the money warrants and warrants on stocks with a history of large and or frequent jumps the jump diffusion model may be preferred

on the valuation of american call options on stocks with known dividends both the roll and the geske equations for the valuation of the american call option on a stock with known dividends are incorrectly specified this note presents the corrected valuation formula explains the misspecifications and provides a numerical example

transaction costs and asset prices a dynamic equilibrium model in this article we study the effects of transaction costs on asset prices we assume an overlapping generations economy with a riskless liquid bond and many risky stocks carrying proportional transaction costs we obtain stock prices and turnover in closed form surprisingly a stock s price may increase in transaction costs and a more frequently traded stock may be less adversely affected by an increase in transaction costs calculations based on the marginal investor overestimate the effects of transaction costs for realistic parameter values transaction costs have very small effects on stock prices but large effects on turnover

survey evidence on diffusion of interest and information among investors abstract questionnaire surveys of institutional and individual investors were undertaken to learn about patterns of communications it was found that direct interpersonal communications are very important in investor decisions questions elicited what fraction of investors were unsystematic and allowed themselves to be influenced by word of mouth communications or other salient stimuli randomly sampled investors were studied as well as investors in stocks whose price had recently increased dramatically contagion or epidemic models of financial markets are proposed in which interest in individual stocks is spread by word of mouth the survey evidence is interpreted as supporting such models

overreaction underreaction and the low p e effect although earnings surprises have been studied extensively they have not been examined in the context of contrarian strategies positive and negative earnings surprises affect best high p e and worst low p e stocks in an asymmetric manner that favors worst stocks long term reversion to the mean in which worst stocks display above market returns while best stocks show below market results regardless of the sign of the surprise continues for at least 19 quarters following the news these results are consistent with mispricing overreaction to events prior to the surprise and a corrective price movement after the surprise is consistent with extant research on underreaction the mispricing correction hypothesis explains the superior returns of contrarian strategies noted here and elsewhere in the literature

the seasonal stability of the factor structure of stock returns this paper investigates the month by month stability of a daily returns and correlation coefficients of stock returns b correlation and covariance matrices c number of return generating factors and d the apt pricing relationship the results show that there is a january effect and a small firm effect in stock returns correlation matrices are more stable than covariance matrices but both types of matrices are not stable across months and across the sample groups the number of return generating factors is rather stable most of the time and for most of the sample groups but there is some significant instability that is related to the average correlation coefficients among stocks the apt pricing relationship does not seem to be supported by the two stage process using the maximum likelihood factor analysis the seasonality of common stock returns has received considerable attention in financial economics research studies by officer 23 rozeff and kinney 29 gultekin and gultekin 11 and others have investigated the stock returns of the u s and other countries on a monthly basis they generally have found that on average january returns are significantly higher than the returns for other months banz 1 and reinganum 25 26 have found abnormally high returns in small market value firms and keim 17 has related this to the first few trading days of january schwert 30 points out the current difficulty of explaining these empirical regularities and the need for further investigations several studies have examined seasonality in risk premiums rozeff and kinney 29 found that seasonality appeared in the risk premiums obtained from a twoparameter capm and that january displayed a relatively large risk premium compared with the other months keim 16 also found seasonality in the risk premiums more recently tinic and west 32 examined the risk premiums of the two parameter capm and observed the previously reported seasonality and high january premium they also found that january is the only month in which there is a consistently positive statistically significant relationship between expected return and risk very recently using the two stage procedure with the

do financial variables help forecasting inflation and real activity in the euro area abstract this paper uses a large data set consisting of 447 monthly macroeconomic time series concerning the main countries of the euro area to simulate out of sample predictions of the euro area industrial production and the harmonized inflation index and to evaluate the role of financial variables in forecasting we considered two models which allow forecasting based on large panels of time series forni et al rev econom statist 82 2000 540 mimeo 2001b and stock and watson mimeo 1999 performance of both models were compared to that of a simple univariate ar model results show that multivariate methods outperform univariate methods for forecasting inflation at one three six and twelve months and industrial production at one and three months we find that financial variables do help forecasting inflation but do not help forecasting industrial production

options short sales and market completeness this paper presents empirical evidence that trading in options contributes to both transactional and informational efficiency of the stock market by reducing the effect of constraints on short sales the significantly higher average level of short interest exhibited by optionable stocks supports the argument that options facilitate short selling we also find significant effects on option prices related to the short interest in the underlying stock we then present evidence that options also increase information efficiency earlier work that is replicated and extended here has suggested that short sale constraints cause stock prices to underweight negative information options appear to reduce that effect

the great recession us dynamics and spillovers to the world economy abstract this paper provides an empirical investigation of both the within us and international channels of transmission of macroeconomic and financial shocks by means of a 50 country macroeconometric model estimated over the 1980 2009 period including measures of excess liquidity and financial fragility specifically designed in order to evaluate the relevance of the boom bust credit cycle view put forward as an interpretation of the recent great recession episode we find that such a view is consistent with the empirical evidence moreover concerning the real effects of financial shocks within the us we detect stronger evidence of an asset prices channel rather than a liquidity channel concerning the spillovers to the world economy we find that while financial disturbances are transmitted to foreign countries through us house and stock price dynamics as well as excess liquidity creation the trade channel is the key trasmission mechanism of real shocks

pricing american options under the constant elasticity of variance model and subject to bankruptcy this paper proposes an alternative characterization of the early exercise premium that is valid for any markovian and diffusion underlying price process as well as for any parameterization of the exercise boundary this new representation is shown to provide the best pricing alternative available in the literature for medium and long term american option contracts under the constant elasticity of variance model moreover the proposed pricing methodology is also extended easily to the valuation of american options on defaultable equity and possesses appropriate asymptotic properties

macroeconomic forecasting using diffusion indexes this article studies forecasting a macroeconomic time series variable using a large number of predictors the predictors are summarized using a small number of indexes constructed by principal component analysis an approximate dynamic factor model serves as the statistical framework for the estimation of the indexes and construction of the forecasts the method is used to construct 6 12 and 24 monthahead forecasts for eight monthly u s macroeconomic time series using 215 predictors in simulated real time from 1970 through 1998 during this sample period these new forecasts outperformed univariate autoregressions small vector autoregressions and leading indicator models

financial stress regimes and the macroeconomy some financial stress events lead to macroeconomic downturns while others appear to be isolated to financial markets we identify financial stress regimes using a model that explicitly links financial variables to macro economic outcomes the stress regimes are identified using an unbalanced panel of financial variables with an embedded method for variable selection our identified stress regimes are associated with corporate credit tightening and with nber recessions an exogenous deterioration in our financial conditions index has strong negative effects in economic activity and negative amplification effects on inflation in the stress regime these results are obtained with a novel factor augmented vector autoregressive model with smooth transition regimes fastvar

real time prediction with u k monetary aggregates in the presence of model uncertainty a popular account for the demise of the u k s monetary targeting regime in the 1980s blames the fluctuating predictive relationships between broad money and inflation and real output growth yet ex post policy analysis based on heavily revised data suggests no fluctuations in the predictive content of money in this paper we investigate the predictive relationships for inflation and output growth using both real time and heavily revised data we consider a large set of recursively estimated vector autoregressive var and vector error correction models vecm these models differ in terms of lag length and the number of cointegrating relationships we use bayesian model averaging bma to demonstrate that real time monetary policymakers faced considerable model uncertainty the in sample predictive content of money fluctuated during the 1980s as a result of data revisions in the presence of model uncertainty this feature is only apparent with real time data as heavily revised data obscure these fluctua