This paper has discussed the importance of stationary data in statistical applications and has at the same time suggested one method for testing for stationarity. An application of the testing procedure is made to common stock prices. The results indicate that these data could be nonstationary in the usual sense of stability of the mean and mean-square values despite efforts to transform the data into a stationary form using first differences.

Recent studies of mutual funds have all arrived at the same conclusion: mutual fund performance has been inferior to the performance of the market indices. One of the most prominent of these studies was conducted by William F. Sharpe. He showed that if his measure of mutual fund performance, the reward-to-variability ratio, is calculated net of management expenses for each fund in his sample of thirty-four, then the average value of this ratio over the thirty-four funds is significantly less than the same measure applied to the Dow Jones Industrials over the 1954–1963 period. From this evidence, Sharpe concluded that average mutual fund performance was distinctly inferior to an investment in the Dow Jones Industrial Average. It is the intent of this paper to show that if another variable, namely the third moment of the fund's annual rate of return, is introduced into the investor's decision process, Sharpe's conclusion must be altered.

Edgar D. Cook, Jr.*: Harry C. Friedman in his paper, Real Estate Investment and Portfolio Theory, has put his mind to an increasingly important area of financial concern, the relationship of real estate as a security in developing portfolio theory. Between now and the year 2000, it has been estimated that $1,500 billion will be spent on building and remodeling nonfarm housing. There will be an estimated $1,000 billion spent on commercial, industrial, and utility construction. In addition, $1,000 billion will probably be spent on public utilities and service institutions, plus $30 billion annually on community facilities. It is anticipated that each year in coming generations we will add to our existing inventory the equivalent of fifteen cities of 200,000 persons each. Predictions are that there will be a need for an additional 2 million dwelling units per year during the 1970's and that this need will climb steadily thereafter.I

In “An Investigation of the Extrapolative Determinants of Short-Run Earnings Expectations,” Professor McEnally has presented a wide spectrum of research results dedicated to the following questions: Are short-run earnings estimates extrapolative and to what extent can these earnings estimates be approximated by familiar extrapolation techniques? His thesis is that expected future earnings are in part a function of prior earnings and that there is much to be learned by fitting a series of regressions or other forecasting models to historical data.

The increase in corporate liquidity over the past ten years, together with higher levels of interest rates and growing sophistication among corporate treasurers and bank portfolio managers, have contributed to the increasing importance of various money-market instruments. The relative position of the Treasury bill has declined, and bank time certificates of deposits, short-term issues of municipalities, and commercial paper have assumed greater importance. The fundamental reason for the attractiveness of alternatives to Treasury bills is, of course, the additional yield that the investor can obtain in the substitute instruments. The differential yield spread over Treasury bills can be explained substantially by two factors—the difference in marketability and the existence of some default risk on the alternative securities.

We analyze the supply-side disruptions associated with COVID-19. We find that sectors in which a higher fraction of the workforce is not able to work remotely experienced greater declines in employment and expected revenue growth, worse stock market performance, and higher likelihood of default. The stock market overweights low-exposure industries. Thus, our findings cast light on the disconnect between stock market indices and aggregate outcomes. We combine these ex ante heterogeneous industry exposures with daily financial market data to create a stock return portfolio that tracks news about the supply-side disruptions resulting from the pandemic.

Most existing macro-finance term structure models (MTSMs) appear incompatible with regression evidence of unspanned macro risk. This “spanning puzzle” appears to invalidate those models in favor of new unspanned MTSMs. However, our empirical analysis supports the previous spanned models. Using simulations to investigate the spanning implications of MTSMs, we show that a canonical spanned model is consistent with the regression evidence; thus, we resolve the spanning puzzle. In addition, direct likelihood-ratio tests find that the knife-edge restrictions of unspanned models are rejected with high statistical significance, though these restrictions have only small effects on cross-sectional fit and estimated term premia.

This paper provides an analysis of the implications of the Feltham and Ohlson (1995) model for the relationship between unexpected security returns and unexpected earnings and cash flows. A simplified version of the Feltham and Ohlson linear information model is utilized to provide an intuitive explanation of the coefficients in the unexpected returns equation and to show that incremental information content for unexpected free cash flow beyond accounting earnings in the model depends on the existence of positive net present value (NPV) investment opportunities. The paper concludes by arguing that the model provides useful insights into factors that may influence the empirical relationship between security returns and accounting data. Résumé. L'auteur expose les résultats d'une analyse des répercussions du modèle de Feltham et Ohlson (1995) sur la relation entre les rendements imprévus des titres, d'une part, et les bénéfices et les flux monétaires imprévus, d'autre part. Il a recours à une version simplifiée du modèle d'information linéaire de Feltham et Ohlson pour expliquer intuitivement les coefficients de l'équation des rendements imprévus et pour montrer que, dans le modèle, le contenu marginal en information supérieur des flux monétaires disponibles imprévus par rapport aux bénéfices comptables dépend des possibilités d'investissement existantes offrant une valeur actualisée nette (VAN) positive. L'auteur conclut en affirmant que le modèle livre des renseignements utiles quant aux facteurs susceptibles d'influencer la relation empirique entre les rendements des titres et les données comptables.