We analyze the relation between expected option returns and the volatility of the underlying securities. The expected return from holding a call (put) option is a decreasing (increasing) function of the volatility of the underlying. These predictions are supported by the data. In the cross section of equity option returns, returns on call (put) option portfolios decrease (increase) with underlying stock volatility. This finding is not due to cross-sectional variation in expected stock returns. It holds in various option samples with different maturities and moneyness, and is robust to alternative measures of underlying volatility and different weighting methods.

Multiasset portfolio selection models stated in terms of the expected utility criterion generally require the evaluation of multiple integrals. This reality has severely hindered attempts towards the development of computation methods to determine optimal portfolio allocations when there are a large number of assets. Aside from special cases, expected utility is not convergent into a simple closed form; the complexity from the point of view of computation is then perhaps most easily appreciated if one realizes that every iteration in a nonlinear program demands the estimation of several integrals (see Ziemba [23] for details). Such calculations are extremely costly when the number of assets is large. It is, consequently, of interest to approximate the expected utility function by a function which is easier to optimize over the set of feasible portfolios.

We examine the impact of managerial entrenchment on firm value using a dynamic model with firm fixed effects. To estimate the model, we employ the long-difference technique, which is shown by our simulation to deliver the least biased estimates. Based on a large sample of U.S. companies, we document a significantly negative and causal effect of managerial entrenchment on firm value after taking into account omitted variables, reverse causality, and highly persistent endogenous variables. Additional analysis suggests that the causality running from managerial entrenchment to firm value is more pronounced than that for reverse causality.

In an efficient market, spreads will reflect both the issuer’s current risk and investors’ expectations about how that risk might change over time. Collin-Dufresne and Goldstein (2001) show analytically that a firm’s expected future leverage importantly influences the spread on its bonds. We use capital structure theory to construct proxies for investors’ expectations about future leverage changes and find that these significantly affect bond yields, above and beyond the effect of contemporaneous leverage. Expectations under the trade-off, pecking order, and credit-rating theories of capital structure all receive empirical support, suggesting that investors view them as complementary when pricing corporate bonds.

We quantify the scarcity value of Treasury collateral by estimating the impact of security-specific demand and supply factors on the specific collateral repurchase agreement (repo) rates of all outstanding U.S. Treasury securities. We find a positive and significant scarcity premium for on- and off-the-run Treasuries that persists for approximately 3 months and is larger in magnitude for shorter-term securities. This scarcity effect seems to pass through to Treasury cash market prices, providing additional evidence for the scarcity channel of quantitative easing (QE). On the contrary, the Federal Reserve’s reverse repo operations could help reduce the scarcity premium by alleviating potential shortages of high-quality collateral.

Studies of returns on common stocks have observed positive market index autocorrelation (see Fisher [10] and Dimson [6]), negative autocorrelation of market model residuals (see Fisher [10] and Fama, Fisher, Jensen, and Roll [9]), and a deterioration in the market model R2 as the returns measurement period is shortened (see Pogue and Solnik [17], Altman, Jacquillat, and Levasseur [1], and Schwartz and Whitcomb [19]). We present further evidence on the strength of these findings and show that they are concurrent events. That is, common factors can explain both positive index and negative residual autocorrelation, and these correlation patterns in turn cause R2 to fall as the differencing interval is shortened.

This paper examines the pricing of exchange-traded long-term corporate bond portfolios. Observable instruments measuring the term structure of interest rates, levels of bond and stock prices, and a January dummy are found to predict excess returns on corporate bonds. An intertemporal asset pricing model with changing expectations and unobservable factors is then estimated for the predictable excess returns using Hansen's Generalized Method of Moments. The results show that a multibeta linear time-vary ing model of conditional expected returns with constant betas can successfully value corporate bonds. Specifically, the tests indicate the presence of two time-varying hedge portfolios. The data, however, support a single latent variable specification when all January observations are excluded. This result suggests the existence of a strong January seasonal in one of the latent variables.

This paper generalizes the risk-return relationship implied by the traditional capital asset pricing model with finite investment horizons. It examines the effect of heterogeneous investment horizons on the functional form of capital asset pricing and proposes a translog model for estimating the risk-return relationship. In addition, this paper contends that some empirical findings that are inconsistent with the traditional CAPM have resulted from misspecification of the CAPM by ignoring the discrepancy between the observed data periods and the true investment horizons. Finally, the paper shows that under various conditions, the translog model is a suitable function for estimating the relationship between risk and expected returns.

We propose a new multi-factor model for international stock returns that includes size, value, and momentum factor portfolios and that builds them in a partial-segmentation capital market framework. Accounting for externalities driven by the incomplete accessibility to stocks and stock markets, our model not only captures strong common variation in international stock returns but also achieves low pricing errors and rejection rates relative to pure segmentation and pure integration models. This partial-segmentation approach is evaluated using monthly returns for over 37,000 stocks from 46 developed and emerging market countries over 2 decades and for a wide variety of test assets.

This article studies the valuation of options written on the average level of a Markov process. The general properties of such options are examined. We propose a closed-form characterization in which the option payoff is contingent on cumulative catastrophe losses. In our framework, the loss rate is a mean-reverting Markov process, with no continuous martingale component. The model supposes that high loss levels have lower arrival rates. We analytically derive the cumulative loss process and its characteristic function. The resulting option model is promising.

A recent issue of the Journal of Financial Economics (June/September 1978) is devoted to reporting anomalous evidence regarding market efficiency. This study may qualify under the same heading. Here we examine the market response to information about firms whose future is assessed as being extremely problematic.

The majority of corporate bonds are callable before maturity at the option of the issuer. Unlike other security options (warrants, convertible bonds, etc.), the call provision cannot be resold; its value can be realized only by exercising it. The problem is to choose the optimal time to perform refunding (including the alternative of not refunding before maturity).

Existing approaches to testing for the efficiency of a given portfolio make strong parametric assumptions about investor preferences and return distributions. Stochastic dominance-based procedures promise a useful nonparametric alternative. However, these procedures have been limited to considering binary choices. In this paper we take a new approach that considers all diversified portfolios and thereby introduce a new concept of first-order stochastic dominance (FSD) optimality of a given portfolio relative to all possible portfolios. Using our new test, we show that the U.S. stock market portfolio is significantly FSD nonoptimal relative to benchmark portfolios formed on market capitalization and book-to-market equity ratios. Without appealing to parametric assumptions about the return distribution, we conclude that no nonsatiable investor would hold the market portfolio in the face of the attractive premia of small caps and value stocks.

This study examines the consequences of conflicts between creditors. Using the setting of debt covenant violations, I employ a regression discontinuity design to identify the effect of banks’ interventions on their borrowers’ trade credit. The results show that trade credit experiences a substantial decline when banks intervene in the borrowing firm following covenant violations. The decline is mitigated by the presence of dependent suppliers and exacerbated by banks’ incentives to exercise control rights. Such externalities are reflected in the loan-contract design. Borrowing firms sign less restrictive loan contracts when they rely more on trade credit or trade creditors.

This paper examines the effect of commercial bank entry on underwriting spreads for IPOs, SEOs, and debt issues using a long time series that spans 30 years, from 1975 to 2004. We find that, on average, commercial banks charge lower spreads of approximately 72 basis points for IPOs, 43 basis points for SEOs, and 14 basis points for debt over the entire sample period. The economic impact of commercial banks on lowering underwriting spreads is most significant when commercial banks were allowed to enter via Section 20 subsidiaries but persists beyond. Commercial bank entry into underwriting appears to have a procompetitive effect that lasts many years after their initial entry.

Periods of high mortgage interest rates that characterized the early 1980s have escalated the use of assumption financing in home buying. In these periods, there is an increased demand for alternative sources of financing and a movement away from conventional sources. The purpose of this study is to provide a theoretical and empirical analysis of the effect of the increased use of assumption financing on selling prices of single-family residential housing. Aside from physical characteristics, the financing arranged by the homebuyer is considered a major influence in determining house prices. This is especially true in real estate appraisal practice where differences in types of financing are one of the major categories of adjustment (see [1], [4], and [10]).

This study's purpose was to construct a performance criterion for New York Stock Exchange specialists which relates to their ability to affect price variability. It was emphasized that the price-setting behavior of the specialists, at times when trading imbalances prevail in the market, is the most important aspect of their performance. Their performance in this dimension may or may not be associated with their willingness to supply immediacy services to small orders. While the bid-ask spread is the correct variable to measure when the latter is considered, price variability or, more precisely, the functional relationship between price changes and trading imbalances is the variable to be measured when the price-setting behavior is of interest. While the experiment to evaluate the price-setting behavior of NYSE specialists using publicly available data may be considered a pioneer study, other studies have estimated the determinants of the bid-ask spread. The contributions of this study to the analysis of the spread can be summarized as follows: (a) observing an independent “specialist effect” on the size of the spread, (b) estimating the spread-volume relationships using a simultaneous system, and (c) estimating the association between the specialists' performance on both spread and price dimensions of their activity. The finding of this study is that there is a positive correlation between the quality measure of performance on both dimensions.

This study develops a currency option pricing model under stochastic interest rates when interest rate parity holds, and it is assumed that domestic and foreign bond prices have local variances that depend only on time. We demonstrate how existing currency option models are simply derived from one framework. Empirical tests employing transactions option data reveal that a particularly simple form of the stochastic rate model is uniformly more accurate than a constant rate model for all boundaries and maturities tested.

Funding risk measures the extent to which a fund can borrow money by posting collateral. Using a novel measure of funding risk based on futures margins, we are able to empirically identify the mechanism by which changes in funding risk affect the likelihood of contagion. An increase in margins of the order of magnitude observed during the subprime crisis increases the probability of contagion among certain types of funds by up to 34%. Our analysis shows that some types of hedge funds are more vulnerable to contagion than others. Our results also suggest that policies that limit the magnitude of changes in margins over short periods of time may reduce the likelihood of contagion among hedge funds.

In this paper, insider trading is viewed as a signal of managements' assessments of firms' future prospects and its information content is compared to that in managements' earnings forecasts. These forecasts are explicit statements of managements' assessments of future prospects. A number of measures of insider trading designed to capture the information aspect of trading are investigated. The results indicate that the insider trading measures do not capture the information conveyed in earnings forecasts, although there is evidence that insider trading measures that take into account the timing of trades relative to the date of the release of the forecast are informative.