Indexes are frequently used for a basis of comparison of the performance of different types of assets, such as mutual funds and common stocks. Sharpe [6] studied the performance of mutual funds over the period 1944 to 1963 and compared their performance to the Dow-Jones Industrial Average (DJIA) using the capital-asset pricing model. For this period he concluded that mutual funds were relatively inferior investments. Joy and Porter [2], using the stochastic dominance approach, reached conclusions similar to those of Sharpe for the 1954–1963 period.

In attempting to analytically discover or test economic relationships, econometricians have available many computational techniques by which to estimate the parameters of their models. But different solution methods may give unbiased and consistent, biased and consistent, or biased and inconsistent estimates under varying assumptions. The model builder is vitally interested in how each of these procedures reacts under varying conditions that may impinge on his model, but which are conditions not assumed by the estimation technique.

Increasing attention has been focused, as of late, on the relatively low rate of rental housing starts and the increase in apartment conversions to condominium ownership. By some estimates, additions to owner–occupied housing stock since 1970 have occurred at twice the rate of addition to the rental stock, a pattern that has caused concern to some policymakers.

The purpose of this paper is to investigate the performance of propertyliability insurance companies' stock portfolios from 1952 to 1968, and to show how that performance compared to the general stock market and investment company performance.

I find that short-maturity Treasury-bill yields have unique information about risk premiums that is not spanned by long-maturity Treasury-bond yields. I estimate 2 components of risk premiums: long term and short term. The long-term component steepens the slope of yield curves and has a forecastability horizon of longer than 1 year. In contrast, the short-term component affects Treasury-bill yields but is almost invisible from Treasury bonds, has a forecastability horizon of less than 1 quarter, and is related to bond liquidity premiums.

Livingston contends that short futures/long cash traders can eliminate the potential costs of the quality option through use of a dynamic trading strategy. It is proposed here that if this is possible then futures prices will never reach a stable equilibrium. Alternatively, if Livingston's argument is flawed, then no risk-free arbitrage opportunities are likely to be available to either short cash/long futures or long cash/short futures traders. Under such conditions, futures prices will reach an equilibrium when the expected return and risk of each type position are equally attractive.

Using intraday data, we find that bank announcements of changes in the prime rate have significant effects on Dow Jones stock price indexes and yields in the Treasury bill futures market. We find comparable effects using daily data for indexes of share prices of banks and financial firms as well as interest rates on various maturities of government securities. Our evidence is consistent with the view that banks have a comparative advantage in processing private information gained through bank-borrower relations and the regulatory supervision process.

In a recent article Lloyd and Shick [3] examined a two-index model of bank stock returns with interest rates as the extra-market source of covariance. Based on their findings, the authors were optimistic that the inclusion of an interest rate index would prove to be worthwhile in market model regressions. The purpose of this comment is to question their conclusions by pointing out some specific deficiencies concerning their data, the statistical tests, and their interpretation of the results.

Linear programming models of specialized financial decision problems such as working capital management [21], short-term financing [22], or capital bug-geting [24] are deficient in that they may lead to decisions which are suboptimal with respect to the firm as a whole. Each model attacks a single decision problem and neglects its interaction with the other activities of the firm. On the other hand, a model which reflects these interdependences and interactions by including the various financing, investment, and operating decisions in a single model tends to become excessively large and inefficient to use. What is needed is a model that incorporates the efficiencies inherent in smaller, more specialized models which can be utilized on a decentralized basis and which can simultaneously lead to decisions that are optimal for the firm as a whole.

We examine compensation for endowment Chief Investment Officers (CIOs) overseeing portfolios with significant allocations to alternatives. We find widespread use of bonuses and that large endowments with high alternative allocations hire CIOs with stronger backgrounds, pay them more, and have higher pay-for-performance sensitivity. We find weak evidence of a relationship between compensation and future performance. Our results align with contract theory predictions but differ from empirical findings on pension funds. Endowments pay CIOs more, rely more on bonuses, attract more experienced professionals, and have lower turnover than pensions. This suggests more effective talent management compared to politically influenced public pensions.

Combining experimental data sets from seven individual studies, including 255 asset markets with 2,031 participants, and 36,326 short-term price forecasts, we analyze the role of heterogeneity of beliefs in the organization of trading behavior by reproducing and reconsidering earlier experimental findings. Our results confirm prior evidence that price expectations affect trading behavior. However, heterogeneity in beliefs does not seem to drive overpricing and asset market bubbles, as suggested by earlier studies, and we find no indication of short-term beliefs being better determinants of trading behavior than longer-term beliefs.

This paper has examined the investment performance of the common stock portfolios of 20 property-liability insurance companies over the period 1958–1967. The performance of these portfolios was compared with the performance of both equal-weighted and value-weighted random portfolios of common stocks. The evidence indicated that the returns earned by the insurance companies were significantly lower than the returns earned by random portfolios of equivalent risk.

While this study is not precisely comparable to the previously published studies of mutual funds in terms of either the methodology employed or the time period considered, the results are quite similar. An additional group of institutional investors can be seen not to have outperformed the “market.” The presumption of inferior performance is even stronger in the case of the property-liability companies because all the comparisons in this study were made on a gross basis. Most of the studies of mutual fund performance have compared fund returns net of investment expenses to the gross returns from random investments. In those instances where comparisons were made on a gross basis, the performance of fund portfolios was found to be very similar to the performance of random investments.

The importance of an explicit consideration of uncertainty in evaluating the economic desirability of investment propositions is generally recognized in contemporary literature on capital budgeting. The emphasis has been on analyzing the effects of uncertainty of future cash-flows which result from an investment on the economic desirability of that investment. However, although future cash-flows are one important source of uncertainty, it should be recognized that other factors may contribute to uncertainty in a significant way. Uncertainty regarding alternate future investment opportunities is of obvious importance in the capital budgeting context. Thus, an investor who makes the best possible investment decision at a given point in time may deplore such a decision a short time afterward simply because his commitment prevents him from exploiting a better opportunity. While it might be assumed implicitly that an investor, in considering his alternatives, ought to include in such deliberations all the courses of action that may become available in the future, this aspect seems important enough to warrant explicit attention.

In this paper, we present a new version of the capital asset pricing model CAPM) that provides a linear pricing equation substantially different from that implied by the traditional CAPM of Sharpe [18], Lintner [12], and Mossin [14, 15] (hereafter SLM model). It is assumed that each of the investors has an initial endowment of real resources (say, corn) which can be either consumed invested in investment opportunities available to the investor. A set of simultaneous equations is derived from the model. The set of equations determines the equilibrium values of these interdependent endogenous variables: the amount to be consumed by the investor; the proportion of each investment project be owned by the investor; the amount to be invested in each of the available investment projects; the market value of each project; the market price of risk; and the return imputed by the capital market for a risky project which has a zero-beta risk. If a riskless project exists, the zero-beta rate is just a risk-free rate.

This paper shows that the integer efficient frontier for capital budgeting problems can be computed using a modified Markowitz approach. It is shown that if the quadratic integer capital budgeting problem is reformulated as a parametric programming problem on the right-hand side of the return constraint, the problem indicated by Baum, Carlson, and Jucker [1] is eliminated. The traditional Markowitz approach is to formulate the problem as an objective function parametric programming problem. Baum, Carlson, and Jucker [1] show that the traditional approach cannot generally be applied to solve quadratic zero-one integer capital budgeting problems. They show that this approach may fail to identify some efficient points. The failure results from the objective function parametric programming approach. Even though the objective function and the right-hand side parametric programming approaches are equivalent in the continuous case, they may not be equivalent in the integer case.

A major issue with predicting inflation rates using predictive regressions is that estimation errors can overwhelm the information content. This article proposes a new approach that uses a monetary-policy rule as a bridge between inflation rates and short-term interest rates and relies on the forward-interest-rate curve to predict future interest-rate movements. The 2-step procedure estimates the predictive relation not through a predictive regression but far more accurately through the contemporaneous monetary-policy linkage. Historical analysis shows that the approach outperforms random walk out of sample by 30%–50% over horizons from 1 to 5 years.

We investigate the Dead Hand Proxy Put, a contractual innovation in corporate debt agreements that may impact hedge fund activism. We find the provision principally in loans, not bonds, and provide evidence linking the adoption of the provision to hedge fund activism. Furthermore, controlling for endogeneity, we find that the provision significantly reduces the cost of loans. Bondholder wealth also increases. Moreover, cross-sectional analysis of share returns reveals that the provision is positively associated with repeat banking relationships and negatively associated with free cash flow problems, suggesting a cost-benefit tradeoff.

We introduce a novel application of machine learning to compare pooling and servicing agreements (PSAs) that govern commercial mortgage-backed securities. In contrast to the view that the PSA is largely boilerplate text, we document substantial variation across PSAs, both within- and across-underwriters and over time. A part of this variation is driven by differences in loan collateral across deals. Additionally, we find that differences in PSAs are correlated with ex post loan and bond performance. Collectively, our analysis suggests the importance of examining the entire governing document, rather than specific components, when analyzing complex financial securities.

This paper provides a structural approach to testing investment equations based on the log-likelihood function of a nonlinear investment rule. The analysis integrates the predictions of the q-theory for the commonly studied active region of investment and provides new inferences on how real and financing frictions affect the probability that a firm invests. The empirical findings are consistent with the macro-finance literature suggesting that q-theory models with nonconvex investment frictions better explain the data. I also find that both real and financing costs of investment are related to the capital intensity of the industry in which firms operate.

We show that demand effects generated by institutional frictions can influence systematic return predictability patterns in stocks and mutual funds. Identification relies on a reform to the Morningstar rating system, which we show caused a structural break in style-level positive feedback trading by mutual funds. As a result, momentum-related factors in stocks, as well as performance persistence and the “dumb money effect” in mutual funds, experienced a sharp decline. Consistent with the proposed channel, return predictability declined right after the reform, was limited to the U.S. market, and was concentrated in factors and mutual funds most exposed to the mechanism.