We develop a new model of multimarket trading to explain the differences in the foreign share of trading volume of internationally cross‐listed stocks. The model predicts that the trading volume of a cross‐listed stock is proportionally higher on the exchange in which the cross‐listed asset returns have greater correlation with returns of other assets traded on that market. We find robust empirical support for this prediction using stock return and volume data on 251 non‐U.S. stocks cross‐listed on major U.S. exchanges.

This article investigates market reactions to initiations and omissions of cash dividend payments. Consistent with prior literature we find that the magnitude of short-run price reactions to omissions are greater than for initiations. In the year following the announcements, prices continue to drift in the same direction, though the drift following omissions is stronger and more robust. This post-dividend initiation/omission price drift is distinct from and more pronounced than that following earnings surprises. A trading rule employing both samples earns positive returns in 22 out of 25 years. We find little evidence for clientele shifts in either sample.

This article investigates market reactions to initiations and omissions of cash dividend payments. Consistent with prior literature we find that the magnitude of short‐run price reactions to omissions are greater than for initiations. In the year following the announcements, prices continue to drift in the same direction, though the drift following omissions is stronger and more robust. This post‐dividend initiation/omission price drift is distinct from and more pronounced than that following earnings surprises. A trading rule employing both samples earns positive returns in 22 out of 25 years. We find little evidence for clientele shifts in either sample.

The purpose of this paper is to empirically test the relationships between corporate earnings and investment. In particular, the study investigates whether knowledge of past investments improves the prediction of future earnings beyond predictions that are based on past earnings alone. Similarly, it investigates whether knowledge of past earnings improves the prediction of future investments beyond knowledge of past investments alone. This is the empirical definition of Granger causality. The empirical results show that the bivariate past series of earnings and investments is superior to the univariate series in predicting future investments but not in predicting future earnings.

The purpose of this paper is to empirically test the relationships between corporate earnings and investment. In particular, the study investigates whether knowledge of past investments improves the prediction of future earnings beyond predictions that are based on past earnings alone. Similarly, it investigates whether knowledge of past earnings improves the prediction of future investments beyond knowledge of past investments alone. This is the empirical definition of Granger causality. The empirical results show that the bivariate past series of earnings and investments is superior to the univariate series in predicting future investments but not in predicting future earnings.

Applying Fishburn's [4] conditions for convex stochastic dominance, exact linear programming algorithms are proposed and implemented for assigning discrete return distributions into the first‐ and second‐order stochastic dominance optimal sets. For third‐order stochastic dominance, a superconvex stochastic dominance approach is defined which allows classification of choice elements into superdominated, mixed, and superoptimal sets. For a choice set of 896 security returns treated previously in the literature, 454, 25, and 13 distributions are in the first‐, second‐, and third‐order convex stochastic dominance optimal sets, respectively. These optimal sets compare with admissible first‐, second‐, and third‐order stochastic dominance sets of 682, 35, and 19 distributions, respectively. The applicability of superconvex stochastic dominance for continuous distributions defined over a bounded interval is then shown. The difficulties in identifying the elements of the superdominated set for distributions defined over the entire real line are demonstrated in the determination of the dominated choices for a set of normally distributed mutual fund returns previously examined by Meyer [9]. Specifically, we find that the dominated set determined by Meyer is too large.

New Intro, Seth Klarman New Intro, Jim Grant New Intro to Part 1, by Roger Lowenstein Part 1, Survey & Approach New Intro to Part 2, By Howard Marks Part 2, Fixed Value Investments New Intro to Part 3, By Ezra Merkin Part 3, Securities with Speculative Features New Intro to Part 4, By Bruce Berkowitz Part 4, Common Stocks New Intro to Part 5, By Glenn Greenberg Part 5, Analysis of the Income Account New Intro to Part 6, By Bruce Greenwald Part 6, Balance Sheet Analysis New Intro to Part 7, By David Abrams Part 7, Additional Aspects of Security Analysis

Why does the stock market rise and fall? From 1989 to 2017, the real per capita value of corporate equity increased at a 7.2% annual rate. We estimate that 40% of this increase was attributable to a reallocation of rewards to shareholders in a decelerating economy, primarily at the expense of labor compensation. Economic growth accounted for just 25% of the increase, followed by a lower risk price (21%) and lower interest rates (14%). The period 1952–88 experienced only one-third as much growth in market equity, but economic growth accounted for more than 100% of it.

This paper examines the EPA's decision to cancel or continue the registrations of cancer-causing pesticides that went through the special review process between 1975 and 1989. Despite claims to the contrary, our analysis indicates that the EPA indeed balanced risks against benefits in regulating pesticides: Risks to human health or the environment increased the likelihood that a particular pesticide use was canceled by the EPA; at the same time, the larger the benefits associated with a particular use, the lower was the likelihood of cancellation. Intervention by special-interest groups was also important in the regulatory process. Comments by grower organizations significantly reduced the probability of cancellation, whereas comments by environmental advocacy groups increased the probability of cancellation. Our analysis suggests that the EPA is fully capable of weighing benefits and costs when regulating environmental hazards; however, the implicit value placed on health risks--$35 million per applicator cancer case avoided--may be considered high by some persons.

We analyze data from a survey we administered during the COVID-19 pandemic to investigate the relationship between people’s subjective beliefs about risks and their private protective behaviors. On average, people substantially overestimate the absolute level of risk associated with economic activity, but have directionally correct signals about their relative risk based on their demographic characteristics. Subjective risk beliefs are predictive of changes in economic activities independent of government policies. Government mandates restricting economic behavior, in turn, attenuate the relationship between subjective risk beliefs and protective behaviors.