International Asset Excess Returns and Multivariate Conditional Volatilities

This paper constructs a multivariate model in relating multi-asset excess returns to their conditional variances. Applying weekly data to investigate the foreign-exchange risk premium, the evidence from a multivariate GARCH model shows that the foreign-exchange excess returns are significantly correlated with economic fundamentals such as the real interest-rate differential, long-short interest-rate spread differential, and equity-premium differential. The evidence also suggests that foreign-exchange excess returns are not independent of the conditional variances of these fundamental variables, supporting the time-varying risk-premium hypothesis.     

Currency Risk and Country Risk in International Banking

This paper focuses on the conditions under which banks are subject to currency and country risks on their dollar-denominated loans to foreign firms and governments. We conclude that currency risk is a function of the rates of domestic and foreign inflation, deviations from purchasing power parity, and the effect of these deviations on the firm's and the nation's dollar-equivalent cash flows. Country risk is largely determined by the variability of the nation's terms of trade and the government's willingness to allow the national economy to adjust rapidly to changing economic fortunes.     

Currency Returns, Intrinsic Value, and Institutional-Investor Flows

We decompose currency returns into (permanent) intrinsic‐value shocks and (transitory) expected‐return shocks. We explore interactions between these shocks, currency returns, and institutional‐investor currency flows. Intrinsic‐value shocks are: dwarfed by expected‐return shocks (yet currency returns overreact to them); unrelated to flows (although expected‐return shocks correlate with flows); and related positively to forecasted cumulated‐interest differentials. These results suggest flows are related to short‐term currency returns, while fundamentals better explain long‐term returns and values. They also rationalize the long‐observed poor performance of exchange‐rate models: by ignoring the distinction between permanent and transitory exchange‐rate changes, prior tests obscure the connection between currencies and fundamentals.     

Real Options, Product Market Competition, and Asset Returns

We study how competition in the product market affects the link between firms' real investment decisions and their asset return dynamics. In our model, assets in place and growth options have different sensitivities to market wide uncertainty. The strategic behavior of market participants influences the relative importance of these components of firm value. We show that the relationship between the degree of competition and assets' expected rates of return varies with product market demand. When demand is low, firms in more competitive industries earn higher returns, whereas when demand is high firms in more concentrated industries earn higher returns.     

Asset Returns,Discount Rate Changes,and Market Efficiency

The primary purpose of this paper is to reconcile the previous findings of discount rate endogeneity with the presence of discount rate announcement effects in securities markets. The crux of this reconciliation is the distinction between “technical” discount rate changes that are endogenous and “nontechnical” changes which contain some informative policy implications. In essence, we attempt to separate expected discount rate changes from unexpected changes, or equivalently, the expected component of discount rate changes from the unexpected component. If markets are efficient, the former should have no announcement effects while the latter may be associated with an announcement effect. Accordingly, the focus of the empirical analysis is on the interaction between discount rate exogeneity, the specific monetary policy regime, and accouncement effects. In addition, we examine whether the behavior of these markets in the postannouncement period is consistent with the rapid price adjustment implied by market efficiency.     

Order Flow, Transaction Clock, and Normality of Asset Returns

The goal of this paper is to show that normality of asset returns can be recovered through a stochastic time change. Clark (1973) addressed this issue by representing the price process as a subordinated process with volume as the lognormally distributed subordinator. We extend Clark's results and find the following: (i) stochastic time changes are mathematically much less constraining than subordinators; (ii) the cumulative number of trades is a better stochastic clock than the volume for generating virtually perfect normality in returns; (iii) this clock can be modeled nonparametrically, allowing both the time-change and price processes to take the form of jump diffusions.     

Diagnosing Asset Pricing Models Using the Distribution of Asset Returns

This paper develops a set of diagnostic tests which can shed light on why a particular model is failing and indicate what steps might be taken to make the model consistent with asset returns. Theoretical bounds on the moments of a stochastic discount factor are derived as a function of the moments of observed asset returns. Particular attention is paid to restrictions on moments other than the variance. These bounds can also be used to measure the information about the distribution of the discount factor contained in the moments of various asset returns. As an application of this methodology, bounds on the discount factor are estimated using size-based portfolios, and the results are used to analyze the small firm effect. Empirical results indicate, for the period 1926–1975, that moments of the returns of small firms contain information about the discount factor that is not contained in the moments of the returns of large firms and/or a proxy of the aggregate wealth portfolio. However, this difference disappears when more recent data is included.     

Variance Spillover and Skewness in Financial Asset Returns

Bond and stock returns have been observed in the literature to exhibit unconditional skewness and temporal persistence in conditional skewness. We demonstrate that observed persistence in conditional third central moments can be due to the spillover of conditional variance dynamics. The confounding of true skewness and a variance spillover effect is problematic for financial modeling. Using market data, we empirically demonstrate that a simple standardization approach removes the variance‐induced skewness persistence. An important implication is that more parsimonious return and asset pricing models result if skewness persistence need not be modeled.     

Asset Growth and the Cross-Section of Stock Returns

We test for firm-level asset investment effects in returns by examining the cross-sectional relation between firm asset growth and subsequent stock returns. Asset growth rates are strong predictors of future abnormal returns. Asset growth retains its forecasting ability even on large capitalization stocks. When we compare asset growth rates with the previously documented determinants of the cross-section of returns (i.e., book-to-market ratios, firm capitalization, lagged returns, accruals, and other growth measures), we find that a firm's annual asset growth rate emerges as an economically and statistically significant predictor of the cross-section of U.S. stock returns.     

Inflation and Asset Returns in a Monetary Economy

Postwar U.S. data are characterized by negative correlations between real equity returns and inflation and by positive correlations between real equity returns and money growth. These patterns are closely matched quantitatively by an equilibrium monetary asset pricing model. The model also implies negative correlations between expected asset returns and expected inflation, and it predicts that the inflation-asset return correlation will be more strongly negative when inflation is generated by fluctuations in real economic activity than when it is generated by monetary fluctuations.     

Binomial Option Pricing with Skewed Asset Returns

This research presents a method for estimating the parameters of the binomial option pricing model necessary to appropriately price calls on assets with asymmetric end-of-period return distributions. Parameters of the binomial model are shown to be a function of the mean, variance, and skewness of the underlying return distribution. It is also shown that failure to incorporate skewness results in the mispricing of the call.     

The Asset Pricing Palette: Cash Flows, Returns and Trading Behavior

Asset pricing is the topic of the 2001 Eastern Finance Association Symposium and the five papers selected for this collection, which are summarized below, span a broad range of subjects that fall under the umbrella of the determinants of market prices. For example, the Schwartz and Moon article that introduces the symposium uses real options methodology to value firms whose cash flows are subject to multiple sources of uncertainty while the Luders and Peisl and Mixon analytical models that close the selections incorporate dual stochastic processes to derive relationships between information flow, trading volume and price volatility that are consistent with empirical evidence. In between, Mishra and O'Brien present new evidence on the important of index and factor selection when estimating the required return on equity and Spahr and Schwebach revisit the issue of time diversification by reintroducing a statistical construct from earlier times. Each of the works included here makes an important contribution to our understanding of the asset pricing process in a distinct area and opens new doors onto avenues for future research.     

Asset Returns and Inflation in Response to Supply,Monetary, and Fiscal Disturbances

This paper identifies sources of asset returns (stock returns and interest rates) and inflation relations. We find that the relation between asset returns and inflation is driven by three types of disturbances to the economy. We interpret them as due to supply disturbances and two types of demand—monetary and fiscal—disturbances. In post-war U.S. data, supply and fiscal disturbances drive a negative stock return-inflation relation, whereas monetary disturbances generate a positive stock return-inflation relation. However, all three types of disturbances generate a negative interest rate-inflation relation. Depending on the interaction of the three types of shocks, we observe different correlations between asset returns and inflation in post- and pre-World War II U.S. data.     

Asset Returns and Labor Supply in a Production Economy

The introduction of an endogenous labor decision represents a challenge for models that seek to jointly explain asset pricing and business cycle facts. This paper shows that several improvements can be made if a standard real business cycle model is augmented with a novel preference specification that increases the stochastic discount factor volatility and simultaneously reduces the wealth elasticity of labor supply.     

货币升值过程中的资产价值重估分析

货币升值会导致资产价格重估，货币政策和实体经济的状况是决定资产价格的另外两个关键因素。货币升值如果导致了更为宽松的货币政策，那么资产泡沫就可能产生；反之，在紧缩的货币政策条件下，货币升值不会伴随全面的资产泡沫。如果货币升值削弱了本国产业的竞争力，那么货币升值可能仅仅导致不可持续的资产泡沫；如果货币升值促使本国实现了产业升级，经济增长潜力得到改善，那么货币升值可能导致资本市场的长期可持续繁荣。     

On the Cross-Sectional Relation between Expected Returns, Betas, and Size

In this paper, I set up scenarios where the mean-variance capital asset pricing model is true and where it is false. Then I investigate whether the coefficients from regressions of population expected excess returns on population betas, and expected excess returns on betas and size, allow us to distinguish between the scenarios. I show that the coefficients from either ordinary least squares or generalized least squares regressions do not allow us to tell whether the model is true or false.     

资产规模、资本状况与商业银行资产组合行为——基于中国银行业面板数据的实证分析

本文立足于我国转型期内的经济金融特征,构造了一个银行资产组合行为的局部均衡模型。在对中国银行业按照资产规模和资本状况进行分类的基础上,本文的实证分析证明了模型的基本含义:由于银行间的异质性,紧缩性货币政策之后商业银行的资产组合行为体现出了截面效应。基于此,本文提出了确立以银行资产组合行为为基础的货币政策决策体系,加强货币政策与监管政策之间的协调等政策建议,以提高货币政策的有效性。     

Does Money Explain Asset Returns? Theory and Empirical Analysis

A cash-in-advance model of a monetary economy is used to derive a money-based CAPM (M-CAPM), which allows us to implement tests of asset pricing restrictions without consumption data. A test as in Fama and MacBeth of the model suggests that the money betas have some explanatory power for the cross-sectional variation of expected returns; however, the model is rejected using conditional information. Consistent with our predictions, estimates of the curvature parameter are lower than those of the consumption CAPM (C-CAPM) and pricing errors of the M-CAPM tend to be smaller than those of the C-CAPM.     

Marketwide Private Information in Stocks: Forecasting Currency Returns

We present a model of equity trading with informed and uninformed investors where informed investors trade on firm‐specific and marketwide private information. The model is used to identify the component of order flow due to marketwide private information. Estimated trades driven by marketwide private information display little or no correlation with the first principal component in order flow. Indeed, we find that co‐movement in order flow captures variation mostly in liquidity trades. Marketwide private information obtained from equity market data forecasts industry stock returns, and also currency returns.