Knowledge that Transforms

ABSTRACT This paper investigates the efficiency of the market for stock index futures and the profitability of index arbitrage for The Chicago Board of Trade's Major Market Index contracts. The spot value of the index is computed with transactions prices for the component shares of the index obtained from the Fitch database. The tests account for transaction costs, execution lags, and the uptick rule for short sales of stocks. Results indicate that the size and frequency of boundary violations are substantially smaller than those reported by earlier studies and have declined sharply with time.

ABSTRACT This paper examines the risks and returns of long‐term low‐grade bonds for the period 1977–1989. We find: (1) low‐grade bonds realized higher returns than higher‐grade bonds and lower returns than common stocks, and low‐grade bonds exhibited less volatility than higher‐grade bonds due to their call features and high coupons; (2) there is no relation between the age of low‐grade bonds and their realized returns; cyclical factors explain much of the observed relation between default rates and bond age; and (3) low‐grade bonds behave like both bonds and stocks. Despite this complexity there is no evidence that low‐grade bonds are systematically over‐ or under‐priced.

This paper surveys capital structure theories based on agency costs, asymmetric information, product/input market interactions, and corporate control considerations (but excluding tax-based theories). For each type of model, a brief overview of the papers surveyed and their relation to each other is provided. The central papers are described in some detail, and their results are summarized and followed by a discussion of related extensions. Each section concludes with a summary of the main implications of the models surveyed in the section. Finally, these results are collected and compared to the available evidence. Suggestions for future research are provided.

ABSTRACT After the stock market crash of October 19, 1987, interest in nonlinear dynamics, especially deterministic chaotic dynamics, has increased in both the financial press and the academic literature. This has come about because the frequency of large moves in stock markets is greater than would be expected under a normal distribution. There are a number of possible explanations. A popular one is that the stock market is governed by chaotic dynamics. What exactly is chaos and how is it related to nonlinear dynamics? How does one detect chaos? Is there chaos in financial markets? Are there other explanations of the movements of financial prices other than chaos? The purpose of this paper is to explore these issues.

ABSTRACT This paper evaluates alternative methods for classifying individual trades as market buy or market sell orders using intraday trade and quote data. We document two potential problems with quote-based methods of trade classification: quotes may be recorded ahead of trades that triggered them, and trades inside the spread are not readily classifiable. These problems are analyzed in the context of the interaction between exchange floor agents. We then propose and test relatively simple procedures for improving trade classifications.

ABSTRACT In a financially integrated global market, the conditionally expected return on a portfolio of securities from a particular country is determined by the country's world risk exposure. This paper measures the conditional risk of 17 countries. The reward per unit of risk is the world price of covariance risk. Although the tests provide evidence on the conditional mean variance efficiency of the benchmark portfolio, the results show that countries' risk exposures help explain differences in performance. Evidence is also presented which indicates that these risk exposures change through time and that the world price of covariance risk is not constant.

AS good as the originals, so I approach this review of the market efflciency literature with trepidation. The task is thornier than it was 20 years ago, when work on efficiency was rather new. The literature is now so large that a full review is impossible, and is not attempted here. Instead, I discuss the work that I find most interesting, and I offer my views on what we have learned from the research on market efficiency.

ABSTRACT This paper examines the proposition that fluctuations in discounts of closed‐end funds are driven by changes in individual investor sentiment. The theory implies that discounts on various funds move together, that new funds get started when seasoned funds sell at a premium or a small discount, and that discounts are correlated with prices of other securities affected by the same investor sentiment. The evidence supports these predictions. In particular, we find that both closed‐end funds and small stocks tend to be held by individual investors, and that the discounts on closed‐end funds narrow when small stocks do well.

ABSTRACT This paper relates cross‐sectional differences in returns on Japanese stocks to the underlying behavior of four variables: earnings yield, size, book to market ratio, and cash flow yield. Alternative statistical specifications and various estimation methods are applied to a comprehensive, high‐quality data set that extends from 1971 to 1988. The sample includes both manufacturing and nonmanufacturing firms, companies from both sections of the Tokyo Stock Exchange, and also delisted securities. Our findings reveal a significant relationship between these variables and expected returns in the Japanese market. Of the four variables considered, the book to market ratio and cash flow yield have the most significant positive impact on expected returns.

This paper examines the proposition that fluctuations in discounts on closed end funds are driven by changes in individual investor sentiment toward closed end funds and other securities. The theory implies that discounts on various funds must move together, that new funds get started when seasoned funds sell at a premium or a small discount, and that discounts on the funds fluctuate together with prices of securities affected by the same investor sentiment. The evidence supports these predictions. In particular, we find that discounts on closed end funds narrow when small stocks do well, as would be expected if closed end funds were subject to the same sentiment as small stocks, whim tern. also to be held by individual investors. The evidence thus suggests that investor sentiment affects security returns.