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Stock Return Predictability and Asset Pricing Models

Stock Return Predictability and Asset Pricing Models PDF Author: Doron Avramov
Publisher:
ISBN:
Category :
Languages : en
Pages : 62

Book Description
This paper develops an asset allocation framework that incorporates prior beliefs about the extent of stock return predictability explained by asset pricing models. We find that when prior beliefs allow even minor deviations from pricing model implications, the resulting asset allocations depart considerably from and substantially outperform allocations dictated by either the underlying models or the sample evidence on return predictability. Under a wide range of beliefs about model pricing abilities, asset allocations based on conditional models outperform their unconditional counterparts that exclude return predictability.

Stock Return Predictability and Asset Pricing Models

Stock Return Predictability and Asset Pricing Models PDF Author: Doron Avramov
Publisher:
ISBN:
Category :
Languages : en
Pages : 62

Book Description
This paper develops an asset allocation framework that incorporates prior beliefs about the extent of stock return predictability explained by asset pricing models. We find that when prior beliefs allow even minor deviations from pricing model implications, the resulting asset allocations depart considerably from and substantially outperform allocations dictated by either the underlying models or the sample evidence on return predictability. Under a wide range of beliefs about model pricing abilities, asset allocations based on conditional models outperform their unconditional counterparts that exclude return predictability.

Stock Return Predictability

Stock Return Predictability PDF Author: Arthur Ritter
Publisher: GRIN Verlag
ISBN: 3656968926
Category : Business & Economics
Languages : en
Pages : 21

Book Description
Research Paper (postgraduate) from the year 2015 in the subject Business economics - Banking, Stock Exchanges, Insurance, Accounting, grade: 17 (1,3), University of St Andrews (School of Management), course: Investment and Portfolio Management, language: English, abstract: Empirical evidence of stock return predictability obtained by financial ratios or macroeconomic factors has received substantial attention and remains a controversial topic to date. This is no surprise given that the existence of return predictability is not only of interest to practitioners but also introduces severe implications for financial models of risk and return. Founded on the assumption of efficient capital markets, research on capital asset pricing models has instigated this emergence of stock return predictability factors. Analysing these factors categorically, this paper will provide a balanced discussion of advocates as well as sceptics of stock return predictability. This essay will commence by firstly outlining the fundamental assumptions of an efficient capital market and its implications for return predictability. Subsequently, a thorough focus will be placed on the most significant predictability factors, including fundamental financial ratios and macroeconomic indicators as well as the validity of sampling methods used to attain return forecasts. Lastly this essay will reflect on the findings while proposing areas of further research.

Stock Return Predictability and Conditional Asset Pricing Models

Stock Return Predictability and Conditional Asset Pricing Models PDF Author: Ane Miren Tamayo
Publisher:
ISBN:
Category : Stock price forecasting
Languages : en
Pages : 368

Book Description


Empirical Asset Pricing

Empirical Asset Pricing PDF Author: Wayne Ferson
Publisher: MIT Press
ISBN: 0262039370
Category : Business & Economics
Languages : en
Pages : 497

Book Description
An introduction to the theory and methods of empirical asset pricing, integrating classical foundations with recent developments. This book offers a comprehensive advanced introduction to asset pricing, the study of models for the prices and returns of various securities. The focus is empirical, emphasizing how the models relate to the data. The book offers a uniquely integrated treatment, combining classical foundations with more recent developments in the literature and relating some of the material to applications in investment management. It covers the theory of empirical asset pricing, the main empirical methods, and a range of applied topics. The book introduces the theory of empirical asset pricing through three main paradigms: mean variance analysis, stochastic discount factors, and beta pricing models. It describes empirical methods, beginning with the generalized method of moments (GMM) and viewing other methods as special cases of GMM; offers a comprehensive review of fund performance evaluation; and presents selected applied topics, including a substantial chapter on predictability in asset markets that covers predicting the level of returns, volatility and higher moments, and predicting cross-sectional differences in returns. Other chapters cover production-based asset pricing, long-run risk models, the Campbell-Shiller approximation, the debate on covariance versus characteristics, and the relation of volatility to the cross-section of stock returns. An extensive reference section captures the current state of the field. The book is intended for use by graduate students in finance and economics; it can also serve as a reference for professionals.

Stock Return Predictability

Stock Return Predictability PDF Author: Anselm Rogowski
Publisher:
ISBN: 9783656968931
Category :
Languages : en
Pages : 20

Book Description
Research Paper from the year 2015 in the subject Business economics - Banking, Stock Exchanges, Insurance, Accounting, grade: 17 (1,3), University of St Andrews (School of Management), course: Investment and Portfolio Management, language: English, abstract: Empirical evidence of stock return predictability obtained by financial ratios or macroeconomic factors has received substantial attention and remains a controversial topic to date. This is no surprise given that the existence of return predictability is not only of interest to practitioners but also introduces severe implications for financial models of risk and return. Founded on the assumption of efficient capital markets, research on capital asset pricing models has instigated this emergence of stock return predictability factors. Analysing these factors categorically, this paper will provide a balanced discussion of advocates as well as sceptics of stock return predictability. This essay will commence by firstly outlining the fundamental assumptions of an efficient capital market and its implications for return predictability. Subsequently, a thorough focus will be placed on the most significant predictability factors, including fundamental financial ratios and macroeconomic indicators as well as the validity of sampling methods used to attain return forecasts. Lastly this essay will reflect on the findings while proposing areas of further research.

Predicting Stock Returns

Predicting Stock Returns PDF Author: David G McMillan
Publisher: Springer
ISBN: 3319690086
Category : Business & Economics
Languages : en
Pages : 141

Book Description
This book provides a comprehensive analysis of asset price movement. It examines different aspects of stock return predictability, the interaction between stock return and dividend growth predictability, the relationship between stocks and bonds, and the resulting implications for asset price movement. By contributing to our understanding of the factors that cause price movement, this book will be of benefit to researchers, practitioners and policy makers alike.

Complex Systems in Finance and Econometrics

Complex Systems in Finance and Econometrics PDF Author: Robert A. Meyers
Publisher: Springer Science & Business Media
ISBN: 1441977007
Category : Business & Economics
Languages : en
Pages : 919

Book Description
Finance, Econometrics and System Dynamics presents an overview of the concepts and tools for analyzing complex systems in a wide range of fields. The text integrates complexity with deterministic equations and concepts from real world examples, and appeals to a broad audience.

Global Stock Markets

Global Stock Markets PDF Author: Wolfgang Drobetz
Publisher: Springer Science & Business Media
ISBN: 3663085295
Category : Business & Economics
Languages : en
Pages : 346

Book Description
Wolfgang Drobetz provides empirical evidence on the time variation of expected stock returns over the stages of the business cycle.

Stock Return Predictability and the Drift Between the Outcomes of Portfolio Investment Strategies

Stock Return Predictability and the Drift Between the Outcomes of Portfolio Investment Strategies PDF Author: Dirk P.M. De Wit
Publisher:
ISBN:
Category :
Languages : en
Pages : 22

Book Description
Anomalies found in tests of market efficiency do not necessarily imply that security prices do not reflect all available information, as the asset-pricing model used to describe the return generating process might also be false. In the present study, this joint hypothesis problem does not arise, because no use is made of an asset-pricing model. Instead, stock return predictability is tested by verifying whether the underlying variables of the drift between different types of indexes are correlated. This unambiguously tests for the sources of return predictability, which can be related to empirical anomalies, such as the "firm-size effect" and the "winner-loser effect". The drift between indexes is large if the (cross-sectional) variation of the underlying variables is large relative to their mean values, and vice versa. The size-related drift, for instance, is shown to be particularly large, but it also appears to be easily rendered statistically insignificant.

An Analytical Framework for Assessing Asset Pricing Models and Predictability

An Analytical Framework for Assessing Asset Pricing Models and Predictability PDF Author: René Garcia
Publisher:
ISBN:
Category :
Languages : en
Pages : 47

Book Description
New insights about the connections between stock market volatility and returns, the pricing of long-run claims, or return predictability have recently revived interest in consumption-based equilibrium asset pricing. The recursive utility model is prominently used in these contexts to determine the price of assets in equilibrium. Often, solutions are approximate and quantities of interest are computed through simulations. We propose an approach that delivers closed-form formulas for price-consumption and price-dividend ratios, as well as for many of the statistics usually computed to assess the ability of the model to reproduce stylized facts. The proposed framework is flexible enough to capture rich dynamics for consumption and dividends. Closed-form formulas facilitate the economic interpretation of empirical results. We illustrate the usefulness of our approach by investigating the properties of long-run asset pricing models in many empirical dimensions.