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Author: A. Craig Mackinlay Publisher: ISBN: Category : Languages : en Pages : 37
Book Description
A number of studies have presented evidence rejecting the validity of the Capital Asset Pricing Model (CAPM). This evidence has spawned research into possible explanations. These explanations can be divided into two main categories-- the risk-based alternatives and the nonrisk-based alternatives. The risk-based category includes multifactor asset pricing models developed under the assumptions of investor rationality and perfect capital markets. The nonrisk-based category includes biases introduced in the empirical methodology, the existence of market frictions, or explanations arising from the presence of irrational investors. The distinction between the two categories is important for asset pricing applications such as estimation of the cost of capital. This paper proposes to distinguish between the two categories using ex ante analysis. A framework is developed showing that ex ante one should expect that CAPM deviations due to missing risk factors will be very difficult to empirically detect. In contrast, deviations resulting from nonrisk-based sources will be easy to detect. Examination of empirical results leads to the conclusion that the risk-based alternatives is not the whole story for the CAPM deviations. The implication of this conclusion is that the adoption of empirically developed multifactor asset pricing models may be premature.
Author: A. Craig Mackinlay Publisher: ISBN: Category : Languages : en Pages : 37
Book Description
A number of studies have presented evidence rejecting the validity of the Capital Asset Pricing Model (CAPM). This evidence has spawned research into possible explanations. These explanations can be divided into two main categories-- the risk-based alternatives and the nonrisk-based alternatives. The risk-based category includes multifactor asset pricing models developed under the assumptions of investor rationality and perfect capital markets. The nonrisk-based category includes biases introduced in the empirical methodology, the existence of market frictions, or explanations arising from the presence of irrational investors. The distinction between the two categories is important for asset pricing applications such as estimation of the cost of capital. This paper proposes to distinguish between the two categories using ex ante analysis. A framework is developed showing that ex ante one should expect that CAPM deviations due to missing risk factors will be very difficult to empirically detect. In contrast, deviations resulting from nonrisk-based sources will be easy to detect. Examination of empirical results leads to the conclusion that the risk-based alternatives is not the whole story for the CAPM deviations. The implication of this conclusion is that the adoption of empirically developed multifactor asset pricing models may be premature.
Author: Archie Craig MacKinlay Publisher: ISBN: Category : Capital Languages : en Pages : 52
Book Description
A number of studies have presented evidence rejecting the validity of the Capital Asset Pricing Model (CAPM). This evidence has spawned research into possible explanations. These explanations can be divided into two main categories - the risk based alternatives and the nonrisk based alternatives. The risk based category includes multifactor asset pricing models developed under the assumptions of investor rationality and perfect capital markets. The nonrisk based category includes biases introduced in the empirical methodology, the existence of market frictions, or explanations arising from the presence of irrational investors. The distinction between the two categories is important for asset pricing applications such as estimation of the cost of capital. This paper proposes to distinguish between the two categories using ex ante analysis. A framework is developed showing that ex ante one should expect that CAPM deviations due to missing risk factors will be very difficult to statistically detect. In contrast, deviations resulting from nonrisk based sources will be easy to detect. Examination of empirical results leads to the conclusion that the risk based alternatives is not the whole story for the CAPM deviations. The implication of this conclusion is that the adoption of empirically developed multifactor asset pricing models may be premature.
Author: Andrew W. Lo Publisher: Princeton University Press ISBN: 1400829097 Category : Business & Economics Languages : en Pages : 449
Book Description
For over half a century, financial experts have regarded the movements of markets as a random walk--unpredictable meanderings akin to a drunkard's unsteady gait--and this hypothesis has become a cornerstone of modern financial economics and many investment strategies. Here Andrew W. Lo and A. Craig MacKinlay put the Random Walk Hypothesis to the test. In this volume, which elegantly integrates their most important articles, Lo and MacKinlay find that markets are not completely random after all, and that predictable components do exist in recent stock and bond returns. Their book provides a state-of-the-art account of the techniques for detecting predictabilities and evaluating their statistical and economic significance, and offers a tantalizing glimpse into the financial technologies of the future. The articles track the exciting course of Lo and MacKinlay's research on the predictability of stock prices from their early work on rejecting random walks in short-horizon returns to their analysis of long-term memory in stock market prices. A particular highlight is their now-famous inquiry into the pitfalls of "data-snooping biases" that have arisen from the widespread use of the same historical databases for discovering anomalies and developing seemingly profitable investment strategies. This book invites scholars to reconsider the Random Walk Hypothesis, and, by carefully documenting the presence of predictable components in the stock market, also directs investment professionals toward superior long-term investment returns through disciplined active investment management.
Author: Daniel R. Solin Publisher: Penguin Group ISBN: 0399537791 Category : Business & Economics Languages : en Pages : 225
Book Description
Acclaimed and bestselling author Dan Solin shows you how to create a SuperSmart Portfolio that follows the same strategies used by the most sophisticated investment advisers in the world—but previously unavailable to most do-it-yourself investors. Providing the specific information and guidance lacking in most investment guides, Solin leaves nothing to chance in this accessible and thoughtful guide that will put you in control of your investment future.
Author: Emmanuel Jurczenko Publisher: Elsevier ISBN: 0081019645 Category : Business & Economics Languages : en Pages : 482
Book Description
This new edited volume consists of a collection of original articles written by leading industry experts in the area of factor investing.The chapters introduce readers to some of the latest research developments in the area of equity and alternative investment strategies.Each chapter deals with new methods for constructing and harvesting traditional and alternative risk premia, building strategic and tactical multifactor portfolios, and assessing related systematic investment performances. This volume will be of help to portfolio managers, asset owners and consultants, as well as academics and students who want to improve their knowledge and understanding of systematic risk factor investing. A practical scope An extensive coverage and up-to-date researcch contributions Covers the topic of factor investing strategies which are increasingly popular amongst practitioners
Author: Richard H. Thaler Publisher: Princeton University Press ISBN: 0691121753 Category : Business & Economics Languages : en Pages : 739
Book Description
A definitive and wide-ranging overview of developments in behavioural finance over the past ten years. This second volume presents twenty recent papers by leading specialists that illustrate the abiding power of behavioural finance.
Author: A. Craig Mackinlay
Author: A. Craig Mackinlay
Author: Archie Craig MacKinlay
Author: A. Craig MacKinlay
Author: A. Craig MACKINLAY
Author: A. Craig MacKinlay
Author: A. C. MacKinlay
Author: Andrew W. Lo
Author: Daniel R. Solin
Author: Emmanuel Jurczenko
Author: Richard H. Thaler