Всего статей в данном разделе : 15
Опубликовано на портале: 03-10-2003Richard Roll Journal of Financial Economics. 1977. Vol. 4. No. 2. P. 129-176.
Testing the two-parameter asset pricing theory is difficult (and currently infeasible). Due to a mathematical equivalence between the individual return/beta'linearity relation and the market portfolio's mean-variance efficiency, any valid test presupposes complete knowledge of the true market portfolio's composition. This implies, inter alia, that every individual asset must be included in a correct test. Errors of inference inducible by incomplete tests are discussed and some ambiguities in published tests are explained.
A Further Study of Depreciation [статья]
Опубликовано на портале: 03-10-2003Harold Jr. Bierman The Accounting Review. 1966. Vol. 41. No. 2. P. 271-274.
"In that article I suggested that the depreciation charge for a period is related to the expectations at the time of purchase and that the purchase of an asset is actually the purchase of future cash proceeds. These cash proceeds then become the basis for the depreciation calculation. This paper will refine the definition of "cash proceeds" with the objective of making the accounting for the events consistent with the decision-making procedures..."
Опубликовано на портале: 15-11-2004Richard Roll, Stephen A. Ross Journal of Finance. 1980. Vol. 35. No. 5. P. 1073-1103.
Empirical tests are reported for Ross'  arbitrage theory of asset pricing. Using data for individual equities during the 1962-72 period, at least three and probably four "priced" factors are found in the generating process of returns. The theory is supported in that estimated expected returns depend on estimated factor loadings, and variables such as the "own" standard deviation, though highly correlated (simply) with estimated expected returns, do not add any further explanatory power to that of the factor loadings.
An intertemporal asset pricing model with stochastic consumption and investment opportunities [статья]
Опубликовано на портале: 02-10-2003Douglas T. Breeden Journal of Financial Economics. 1979. Vol. 7. No. 3. P. 265-296.
This paper derives a single-beta asset pricing model in a multi-good, continuous-time model with uncertain consumption-goods prices and uncertain investment opportunities. When no riskless asset exists, a zero-beta pricing model is derived. Asset betas are measured relative to changes in the aggregate real consumption rate, rather than relative to the market. In a single-good model, an individual's asset portfolio results in an optimal consumption rate that has the maximum possible correlation with changes in aggregate consumption. If the capital markets are unconstrained Pareto-optimal, then changes in all individuals' optimal consumption rates are shown to be perfectly correlated.
Опубликовано на портале: 02-11-2007Andrew B. Abel American Economic Review. 1990. Vol. 80. No. 2. P. 38-42.
This paper introduces a utility function that nests three classes of utility functions: (1) time-separable utility functions; (2) "catching up with the Joneses" utility functions that depend on the consumer's level of consumption relative to the lagged cross-sectional average level of consumption; and (3) utility functions that display habit formation. Closed-form solutions for equilibrium asset prices are derived under the assumption that consumption growth is i.i.d. The equity premia under catching up with the Joneses and under habit formation are, for some parameter values, as large as the historically observed equity premium in the United States
Опубликовано на портале: 02-11-2007Chris I. Telmer Journal of Finance. 1993. Vol. 48. No. 5. P. 1803-32.
The representative agent theory of asset pricing is modified to incorporate heterogeneous agents and incomplete markets. The model features two types of agents who differ up to a nontradable, idiosyncratic component in their endowment processes. Numerical solutions indicate that individuals are able to diversify a substantial portion of their idiosyncratic income risk through riskless borrowing and lending alone. Restrictions on the variability of intertemporal marginal rates of substitution are used to argue that incomplete markets, as modeled here, cannot account for the properties of asset returns that are anomalous from the perspective of representative agent theory
Опубликовано на портале: 02-11-2007John Y. Campbell, John H. Cochrane Journal of Political Economy. 1999. Vol. 107. No. 2. P. 205-251.
We present a consumption-based model that explains the procyclical variation of stock prices, the long-horizon predictability of excess stock returns, and the countercyclical variation of stock market volatility. Our model has an i.i.d. consumption growth driving process, and adds a slow-moving external habit to the standard power utility function. The latter feature produces cyclical variation in risk aversion, and hence in the prices of risky assets Our model also predicts many of the difficulties that beset the standard power utility model, including Euler equation rejections, no correlation between mean consumption growth and interest rates, very high estimates of risk aversion, and pricing errors that are larger than those of the static CAPM. Our model captures much of the history of stock prices, given only consumption data. Since our model captures the equity premium, it implies that fluctuations have important welfare costs. Unlike many habit-persistence models, our model does not necessarily produce cyclical variation in the risk free interest rate, nor does it produce an extremely skewed distribution or negative realizations of the marginal rate of substitution
Опубликовано на портале: 03-10-2003William F. Sharpe Journal of Finance. 1964. Vol. 19. No. 3. P. 425-442.
One of the problems which has plagued thouse attempting to predict the behavior of capital marcets is the absence of a body of positive of microeconomic theory dealing with conditions of risk/ Althuogh many usefull insights can be obtaine from the traditional model of investment under conditions of certainty, the pervasive influense of risk in finansial transactions has forced those working in this area to adobt models of price behavior which are little more than assertions. A typical classroom explanation of the determinationof capital asset prices, for example, usually begins with a carefull and relatively rigorous description of the process through which individuals preferences and phisical relationship to determine an equilibrium pure interest rate. This is generally followed by the assertion that somehow a market risk-premium is also determined, with the prices of asset adjusting accordingly to account for differences of their risk.
Churning Bubbles [статья]
Опубликовано на портале: 14-03-2005Franklin Allen, Gary Gorton Review of Economic Studies. 1993. Vol. 60. No. 4. P. 813-836.
Are stock prices determined by fundamentals or can "bubbles" exist? An important issue in this debate concerns the circumstances in which deviations from fundamentals are consistent with rational behaviour. When there is asymmetric information between investors and portfolio managers, portfolio managers have an incentive to churn; their trades are not motivated by changes in information, liquidity needs or risk sharing but rather by a desire to profit at the expense of the investors that hire them. As a result, assets can trade at prices which do not reflect their fundamentals and bubbles can exist.
Опубликовано на портале: 03-10-2003John C. Cox, Stephen A. Ross, Mark Rubinstein Journal of Financial Economics. 1979. Vol. 7. No. 3. P. 229-263.
This paper presents a simple discrete-time model for valuing options. The fundamental economic principles of option pricing by arbitrage methods are particularly clear in this setting. Its development requires only elementary mathematics, yet it contains as a special limiting case the celebrated Black-Scholes model, which has previously been derived only by much more difficult methods. The basic model readily lends itself to generalization in many ways. Moreover, by its very construction, it gives rise to a simple and efficient numerical procedure for valuing options for which premature exercise may be optimal.
Опубликовано на портале: 12-12-2002Helyette Geman, Marc Yor, Dilip B. Madan Finance and Stochastics. 2002. Vol. 6. No. 1. P. 63-90.
Stochastic volatility and jumps are viewed as arising from Brownian subordination given here by an independent purely discontinuous process and we inquire into the relation between the realized variance or quadratic variation of the process and the time change. The class of models considered encompasses a wide range of models employed in practical financial modeling. It is shown that in general the time change cannot be recovered from the composite process and we obtain its conditional distribution in a variety of cases. The implications of our results for working with stochastic volatility models in general is also described. We solve the recovery problem, i.e. the identification the conditional law for a variety of cases, the simplest solution being for the gamma time change when this conditional law is that of the first hitting time process of Brownian motion with drift attaining the level of the variation of the time changed process. We also introduce and solve in certain cases the problem of stochastic scaling. A stochastic scalar is a subordinator that recovers the law of a given subordinator when evaluated at an independent and time scaled copy of the given subordinator. These results are of importance in comparing price quality delivered by alternate exchanges.
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.
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.