Knowledge that Transforms

Geske and Johnson (1984) develop an equation for the American put price and obtain accurate prices using a method requiring quadrivariate normal integrals evaluated over an interval containing four equally spaced exercise points. We show that a modification of their method which uses optimal placement of exercise points yields in most cases accurate values using nothing more than bivariate normals. In the more difficult (deep‐in‐the‐money) cases, trivariate normals suffice.

Using a multivariate vector-autoregression (VAR) approach, this paper investigates causal relations and dynamic interactions among asset returns, real activity, and inflation in the postwar United States. Major findings are (1) stock returns appear Granger-causally prior and help explain real activity, (2) with interest rates in the VAR, stock returns explain little variation in inflation, although interest rates explain a substantial fraction of the variation in inflation, and (3) inflation explains little variation in real activity. These findings seem more compatible with Fama (1981) than with Geske and Roll (1983) or with Ram and Spencer (1983).

Members of the Institutional Investor All-American Research Team supply more accurate earnings forecasts than other analysts when forecasts are matched by the corporation followed and by the date of brokerage house issuance. This contemporaneous advantage is complemented by a timing advantage; All-Americans supply forecasts more often than other analysts. Stocks returns immediately following large upward forecast revisions suggest that All-Americans impact prices more than other analysts. However, there is virtually no difference in returns following large downward revisions. Nevertheless, the collective results suggest a positive relation between reputation and performance, and, assuming that All-Americans are better paid, pay and performance.

With dual trading, brokers trade both for their customers and for their own account. We study dual trading and find that customers who are less likely to be informed have higher expected profits with dual trading while customers who are more likely to be informed have higher expected profits without dual trading. We also examine the effects of frontrunning. We test the major empirical implications of our model. Consistent with the model, dual traders earn higher profits than non‐dual traders, and customers of dual‐trading brokers do better than customers of non‐dual‐trading brokers.

Whether insider trading affects stock prices is central to both the current debate over whether insider trading is harmful or pervasive, and to the broader public policy issue of how best to regulate securities markets. Using previously unexplored data on illegal insider trading from the Securities and Exchange Commission, this paper finds that the stock market detects the possibility of informed trading and impounds this information into the stock price. Specifically, the abnormal return on an insider trading day averages 3%, and almost half of the pre-announcement stock price run-up observed before takeovers occurs on insider trading days. Both the amount traded by the insider and additional trade-specific characteristics lead to the market's recognition of the informed trading.

Most of the evidence on consumption‐based asset pricing is based on seasonally adjusted consumption data. The consumption‐based models have not worked well for explaining asset returns, but with seasonally adjusted data there are reasons to expect spurious rejections of the models. This paper examines asset pricing models using not seasonally adjusted aggregate consumption data. We find evidence against models with time‐separable preferences, even when the models incorporate seasonality and allow seasonal heteroskedasticity. A model that uses not seasonally adjusted consumption data and nonseparable preferences with seasonal effects works better according to several criteria. The parameter estimates imply a form of seasonal habit persistence in aggregate consumption expenditures.

This paper describes the firm's decision to borrow short‐term versus long‐term and shows how the introduction of interest rate swaps affects this choice. The model shows that in the absence of a swap market, interest rate uncertainty can lead firms to substitute long‐term for short‐term financing. However, when swaps exist, there is a tendency for firms that expect their credit quality to improve to borrow short‐term and use swaps to hedge interest rate risk. The model suggests that, while the demand for fixed for floating swaps is enhanced, the demand for floating for fixed swaps is reduced by the presence of asymmetric information.

This paper reexamines the integration of the Canadian and U.S. stock markets in the 1977–86 period that is relatively free from capital controls. The study employs both the CAPM and the APT frameworks. Under both models, the evidence is consistent with segmentation in the 1977–81 subperiod, but supports integration in the 1982–86 subperiod. Using the APT framework, we also find that the Canadian stocks interlisted on the U.S. exchanges and NASDAQ are priced in an integrated market and segmentation is predominant for the non‐interlisted Canadian stocks.