Review of Financial Studies
Опубликовано на портале: 06-10-2004Robert A. Jarrow, David Lando, Stuart M. Turnbull Review of Financial Studies. 1997. Vol. 10. No. 2. P. 481-523.
This article provides a Markov model for the term structure of credit risk spreads. The model is based on Jarrow and Turnbull (1995), with the bankruptcy process following a discrete state space Markov chain in credit ratings. The parameters of this process are easily estimated using observable data. This model is useful for pricing and hedging corporate debt with imbedded options, for pricing and hedging OTC derivatives with counterparty risk, for pricing and hedging (foreign) government bonds subject to default risk (e.g., municipal bonds), for pricing and hedging credit derivatives, and for risk management.
Опубликовано на портале: 03-10-2003Philip G. Berger, Eli Ofek Review of Financial Studies. 1999. Vol. 12. No. 2. P. 311-345.
We study the precursors and outcomes of refocusing episodes by 107 diversified firms that were not taken over between 1984 and 1993. These firms had more value-reducing diversification policies than diversified firms that did not refocus. However, major disciplinary or incentive-altering events (including management turnover, outside shareholder pressure, changes in management compensation, and financial distress) usually occurred before refocusing took place. The cumulative abnormal returns over a firm's refocusing-related announcements averaged 7.3% and were significantly related to the amount of value reduction associated with the refocuser's diversification policy.
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: 03-12-2007Narasimhan Jegadeesh, Sheridan Titman Review of Financial Studies. 1995. Vol. 8. No. 4. P. 973-993.
This article examines the contribution of stock price overreaction and delayed reaction to the profitability of contrarian strategies. The evidence indicates that stock prices overreact to firm-specific information, but react with a delay to common factors. Delayed reactions to common factors give rise to a size-related lead-lag effect in stock returns. In sharp contrast with the conclusions in the extant literature, however, this article finds that most of the contrarian profit is due to stock price overreaction and a very small fraction of the profit can be attributed to the lead-lag effect
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.
Опубликовано на портале: 25-10-2007Andrew W. Lo, A. Craig MacKinlay Review of Financial Studies. 1988. Vol. 1. No. 1. P. 41-66.
In this article we test the random walk hypothesis for weekly stock market returns by comparing variance estimators derived from data sampled at different frequencies. The random walk model is strongly rejected for the entire sampleperiod (1962-1985) and for all subperiods for a variety of aggregate returns indexes and size-sorted porfolios. Although the rejections are due largely to the behavior of small stocks, they cannot be attributed completely to the effects of infrequent trading or timevarying volatilities. Moreover, the rejection of the random walk for weekly returns does not support a mean-reverting model of assetprices.