Bawa [3] has argued that mean-lower partial moment portfolio selection rules are more general than mean-variance rules in that they rely on fewer restrictive assumptions regarding investor utility functions and/or distributions of security returns. As with the mean-variance model, it is possible to formulate equilibrium security prices under the assumption that expected utility-maximizing investors utilize mean-lower partial moment portfolio selection rules. This paper has investigated the empirical relationship between the resultant mean-lower partial moment pricing model and the long established mean-variance pricing model.

Some recent research into the short-term behavior of speculative prices has combined the methodology of information theory with the analysis of aggregate market data on the daily proportions of securities advancing, declining, and remaining unchanged in price. For example, Theil and Leenders [8] employed the measure of average information inaccuracy to analyze aggregate data on the Amsterdam Stock Exchange and concluded that there was a strong dependence between the proportions of prices advancing, declining, and remaining unchanged today, and the respective changes tomorrow. The evidence of dependence on the Amsterdam Exchange prompted Fama [4] to apply similar methodology on the NYSE data, for the period 6/2/52 to 10/29/62, in search of similar patterns. Professor Fama, after proper adjustment for nonstationarity in the time series, concluded that the evidence of dependence on the NYSE was meager and unreliable for forecasting short-term security prices. However, Dryden [3], utilizing the same methodology on data from the London Stock Exchange, found significant dependence between the proportions advancing, declining, and remaining unchanged today, and the respective changes tomorrow. Dryden's results yielded a higher dependence for the London Exchange than for the Amsterdam and New York Exchanges, and were later verified by the straightforward application of a Markovian approach.

Intermediation, and in particular financial intermediation, is a frequently observed class of activities for which the literature provides little definition. Although intermediaries exist in major proportions of the economy, a precise characterization of an intermediary's function has not appeared. Rather, the academic and pragmatic literature refer to intermediaries by example, generally agreeing that such institutions as banks, insurance companies, etc., are intermediaries. This research addresses the issue of what an intermediary is; that is, what distinguishes the activity of intermediation from other economic activity.

An algorithm to estimate the composition of efficient sets by the stochastic dominance (SD) rules was developed and made available to the public by Porter, Wart, and Ferguson (PWF) [1]. Up to that time the computer central processing unit (CPU) time required for the determination of the SD efficient set was prohibitive for a large number of portfolios. The Porter, Wart, and Ferguson algorithm made possible studies that examined the performance of mutual funds, common stocks, and portfolios using the SD rules. Unfortunately, the FORTRAN program developed by PWF and titled D0MIN2 still requires a large amount of CPU time when the number of portfolios exceeds 100.

Capital budgeting can be described as the problem of allocating scarce capital among a number of investment opportunities in such a manner that the outcome most preferred by a decision maker will result. When a single, mathematically explicit criterion is assumed, mathematical programming techniques can be applied. However, a single criterion, such as maximizing the return on investment or minimizing the risk of losing a sizable fraction of the original investment, is not appropriate for a significant number of real-world decision makers for whom two or more criteria, e.g., a judicious combination of return on investment and risk, are important. It has been argued [1] that it is usually not possible to obtain an explicit utility function for the decision maker and, consequently, that it is usually not possible to apply conventional (optimizing) mathematical programming techniques to find the most preferred outcome.

Recent literature has witnessed the emergence of an impressive body of empirical evidence relating to the relationship which exists between successive security price changes. The great majority of this evidence has tended to support what has come to be known as the theory of random walks in security prices—that is, the theory that successive security price changes behave as independent random variables, which implies that knowledge of “the past history of a series of price changes cannot be used to predict future changes in any ‘meaningful’ way.”

We design an experiment to test the hypothesis that, in violation of Bayes’ rule, some people respond more forcefully to the strength of information than to its weight. We provide incentives to motivate effort, use naturally occurring information, and control for risk attitude. We find that the strength–weight bias affects expectations but that its magnitude is significantly lower than originally reported. Controls for nonlinear utility further reduce the bias. Our results suggest that incentive compatibility and controls for risk attitude considerably affect inferences on errors in expectations.

We develop an intertemporal asset pricing model where cash-flow news, discount-rate news, and their second moments are priced by the market. This model generalizes the market-return decomposition framework, showing that intertemporal considerations imply a decomposition of squared market returns (coskewness risk). Our model accounts for 68% of the return variation across portfolios sorted by size, book-to-market ratio, momentum, investment, and profitability for a modern U.S. sample period. Further, our findings highlight the importance of covariation risk, that is, the risk of simultaneous unfavorable shocks to cash flows and discount rates, in understanding equity risk premia.

We study the predictive power of option-implied moment risk premia embedded in the conventional variance risk premium. We find that although the second-moment risk premium predicts market returns in short horizons with positive coefficients, the third-moment (fourth-moment) risk premium predicts market returns in medium horizons with negative (positive) coefficients. Combining the higher-moment risk premia with the second-moment risk premium improves the stock return predictability over multiple horizons, both in sample and out of sample. The finding is economically significant in an asset-allocation exercise and survives a series of robustness checks.

Average cumulative abnormal returns around proxy statements containing “in-depth” disclosures of planning for CEO succession are significantly positive indicating that succession planning is a value-added undertaking. Exploiting a quasi-natural experiment based on a 2009 SEC ruling that induced more succession planning disclosures, we find that succession planning is not value-adding for all firms. Rather, succession planning is value-enhancing for larger, more complex, and more stable firms. Importantly, CEO succession planning appears to be value reducing for smaller, simpler, and less stable firms.

We examine impediments to liquidity provision by mutual funds to insurance companies during corporate bond fire sales. We find that financial regulation and limited capital capacity significantly affect liquidity provision. Mutual funds reduced their purchase of fire-sale bonds following regulatory changes after the 2008–2009 financial crisis. Funds facing more capital constraints (proxied by smaller cash and Treasury holdings, less liquid corporate bond investments, higher redemption risk, and less active investment styles) provide less liquidity. Mutual funds actively investing in fire-sale bonds earn significant returns from liquidity provision and demonstrate superior overall skills in corporate bond investments.

A number of recent articles have explored the reasons underlying observed differences in deposit variability among commercial banks. The variability of deposits at individual banks is of interest to bank management, the Federal Reserve, and the general public for several reasons:

1. Deposit variability is frequently included as an important determinant of portfolio strategy. The more volatile a bank's deposits are, the more liquid its mix of assets will be.

In a recent article appearing in this journal [2] Jonathan Ingersoll developed a normative multidimensional security pricing model for the individual investor in which he corrected errors in an earlier attempt by William Jean [3] [4] [5] at developing such a model. The purpose of this correction is to clarify and correct certain parts of Ingersoll's correction of Jean's work.

Fewings [5] and Myers and Turnbull [13] have arrived at diametrically conflicting conclusions regarding the effect of growth on risk as measured by beta, the relative systematic risk in the Sharpe-Lintner-Mossin (SLM) capital asset pricing model. Fewings states his result in an unequivocal way: “…systematic capitalization risk of common stocks is undoubtedly a positive function of the rate of growth of expected corporate earnings” ([5, p. 53]) Myers and Turnbull, on the other hand, state their result in a more conditional form, making the result depend on the nature of market expectations revisions but conclude that “increasing the growth rate decreases B …” ([13], P. 327).

This paper examines the random-walk hypothesis in the forward exchange market by applying spectral analysis to the three-month forward rates for dollars against sterling in the period 1961–1967.

Researchers and political analysts concerned with the inter-regional flow of mortgage funds have often pointed to the existence of yield differentials as prima facie evidence of misallocation of capital and national resources. Limited information and myopic lending horizons, with market imperfections reinforced by state laws and institutional segmentation, have been postulated. They are regarded as responsible for costly “frictions” in the export of capitalto the fast-growing, generally low-income, states, particularly those of the South. Both federal and state legislative action, intensified private arbitrage, and better secondary market facilities and instruments are then urged to improve inter-regional financial mediation to reduce or eliminate the yield differentials.

The algorithm leading to a solution of the above question has been known at least since Kaplan's 1965 tutorial [5] on Sturm's theorem. The Sturm-Kaplan method has the power to count all zeros on the real axis between any two specified limits. A significant problem may arise, however, when one tries to generate the Sturmian functions which play a central part in the Sturm-Kaplan method. The rather arduous nature of the task derives from the necessity to perform several polynomial (synthetic) divisions. As the number of cash flows involved in the analysis increases, the time and effort required to determine the Sturmian functions increase as well.

Boquist, Racette, and Schlarbaum [3] and Livingston [6] show that a security systematic risk may be expressed as a function of its duration. These results have led to research examining the role of duration in explaining systematic risk, but Lanstein and Sharpe [5] indicate that Livingston's expression relies on the implicit assumption that extra-market covariances between securities are insignificant. Lanstein and Sharpe argue that such an assumption is unwarranted. They find a significant negative relationship between extra-market covariances and differences in duration between paired samples of common stock. Their paper suggests that duration may be associated with unsystematic risk and that any relation between duration and systematic risk is more complex than implied in [3] and [6].

In a recent article, Professors Robichek and Van Horne have noted the importance of considering abandonment in the capital budgeting process. The basic point of their paper is that:

… a project should be abandoned at that point in time when its abandonment value exceeds the net-present value of the subsequent expected future cash flows discounted at the cost-of-capital rate.

We utilize the decennial U.S. Census to study social effects in housing consumption across 4 million households from 126 ethnic groups and 2,071 geographic locations in the United States. We find that the homeownership decisions within ethnic groups are locally correlated, after controlling for the homeownership rates within the group and the region. Social influence is stronger for younger, less educated, and lower-income individuals; immigrants; and Americans with ancestors from more unequal, uncertainty-avoiding, and collectivistic cultures. Our results suggest that both status and information considerations play an important role in the social comparison process in capital markets.