Всего статей в данном разделе : 10
Опубликовано на портале: 25-10-2007Jacob Boudoukh, Matthew Richardson, Robert Whitelaw Review of Financial Studies. 1994. Vol. 7. No. 3. P. 539-573.
This article reexamines the autocorrelation patterns of short-horizon stock returns. We document empirical results which imply that these autocorrelations have been overstated in the existing literature. Based on several new insights, we provide support for a market efficiency-based explanation of the evidence. Our analysis suggests that institutional factors are the most likely source of the autocorrelation patterns.
Опубликовано на портале: 22-10-2007Anat R. Admati, Paul Pfleiderer Review of Financial Studies. 1989. Vol. 2. No. 2. P. 189-223.
This article develops a model in which pattern in buy and sell volume, order imbalances, and expected price changes arise endogenously. The model covers cases in which the market maker is competitive and is a monopolist. Our results provide an explanation for the existence of patterns in mean returns within the trading day and across trading days.
Опубликовано на портале: 03-12-2007Fisher Black Journal of Finance. 1986. Vol. 21. P. 529-543.
The effects of noise on the world, and on our views of the world, are profound. Noise in the sense of a large number of small events is often a causal factor much more powerful than a small number of large events can be. Noise makes trading in financial markets possible, and thus allows us to observe prices for financial assets. Noise causes markets to be somewhat inefficient, but often prevents us from taking advantage of inefficiencies. Noise in the form of uncertainty about future tastes and technology by sector causes business cycles, and makes them highly resistant to improvement through government intervention. Noise in the form of expectations that need not follow rational rules causes inflation to be what it is, at least in the absence of a gold standard or fixed exchange rates. Noise in the form of uncertainty about what relative prices would be with other exchange rates makes us think incorrectly that changes in exchange rates or inflation rates cause changes in trade or investment flows or economic activity. Most generally, noise makes it very difficult to test either practical or academic theories about the way that financial or economic markets work. We are forced to act largely in the dark
Partial Adjustment or Stale Prices? Implications from Stock Index and Futures Return Autocorrelations [статья]
Опубликовано на портале: 03-11-2007Dong-Hyun Ahn, Jacob Boudoukh, Matthew Richardson, Robert Whitelaw Review of Financial Studies. 2002. Vol. 15. No. 2. P. 655-689.
We investigate the relation between returns on stock indices and their corresponding futures contracts to evaluate potential explanations for the pervasive yet anomalous evidence of positive, short-horizon portfolio antocorrelations. Using a simple theoretical framework, we generate empirical implications for both microstructure and partial adjustment models. The major findings are (i) return autocorrelations of indices are generally positive even though futures contracts have autocorrelations close to zero, and (ii) these autocorrelation differences are maintained under conditions favorable for spot-futures arbitrage and are most prevalent during low-volume periods. These results point toward microstructure-based explanations and away from explanations based on behavioral models.
Portfolio Return Autocorrelation [статья]
Опубликовано на портале: 25-10-2007Timothy S. Mech Journal of Financial Economics. 1993. Vol. 34. No. 3. P. 307-334.
This paper investigates whether portfolio return autocorrelation can be explained by time-varying expected returns, nontrading, stale limit orders, market maker inventory policy, or transaction costs. Evidence is consistent with the hypothesis that transaction costs cause portfolio autocorrelation by slowing price adjustment. I develop a transaction-cost model which predicts that prices adjust faster when changes in valuation are large in relation to the bid-ask spread. Cross-sectional tests support this prediction, but time-series tests do not.
Опубликовано на портале: 25-10-2007David M. Cutler, James Michael Poterba, Lawrence H. Summers American Economic Review. 1990. Vol. 80. No. 2. P. 63-68.
This paper summarizes our earlier research documenting the characteristic speculative dynamics of many asset markets and suggests a framework for understanding them. Our model incorporates "feedback traders," traders whose demand is based on the history of past returns rather than the expectation of future fundamentals. We use this framework to describe ways in which the characteristic return patterns might be generated, and also to address the long-standing question of whether profitable speculation stabilizes asset markets.
Stock Return Autocorrelation and Institutional Investors: The Case of American Depository Receipt [статья]
Опубликовано на портале: 25-10-2007Diane DeQing Li, Kennet Yung Review of Accounting and Finance. 2006. Vol. 5. No. 1. P. 45-58.
Though stock portfolio return autocorrelation is well documented in the literature, its cause is still not clearly understood. Presently, evidence of private information induced stock return autocorrelation is still very limited. The difficulty in obtaining foreign country information by small investors makes the private information of institutional investors in the ADR (American Depository Receipt) market more significant and influential. As such, the ADR market provides a favorable environment for testing the effect of private information on return autocorrelation. The purpose of this paper is to address this issue.
Опубликовано на портале: 25-10-2007Kenneth R. French, Richard Roll Journal of Financial Economics. 1986. Vol. 17. No. 1. P. 5-26.
Asset prices are much more volatile during exchange trading hours than during non-trading hours. This paper considers three explanations for this phenomenon: (1) volatility is caused by public information which is more likely to arrive during normal business hours; (2) volatility is caused by private information which affects prices when informed investors trade; and (3) volatility is caused by pricing errors that occur during trading. Although a significant fraction of the daily variance is caused by mispricing, the behavior of returns around exchange holidays suggests that private information is the principle factor behind high trading-time variances.
Опубликовано на портале: 26-10-2007Yakov Amihud, Haim Mendelson Journal of Finance. 1987. Vol. 42. No. 3. P. 533-553.
This paper examines the effects of the mechanism by which securities are traded on their price behavior. We compare the behavior of open-to-open and close-to-close returns on NYSE stocks, given the differences in execution methods applied in the opening and closing transactions. Opening returns are found to exhibit greater dispersion, greater deviations from normality and a more negative and significant autocorrelation pattern than closing returns. We study the effects of the bid-ask spread and the price-adjustment process on the estimated return variances and covariances and discuss the associated biases. We conclude that the trading mechanism has a significant effect on stock price behavior.
Опубликовано на портале: 18-08-2004Василий Леонидович Перминов
Данный библиографический список рекомендован при изучении дисциплины "Анализ финансовой отчетности" для бакалавров экономического университета.