Download or read book The Optimal Use of Return Predictability written by Abhay Abhyankar and published by . This book was released on 2019 with total page 45 pages. Available in PDF, EPUB and Kindle. Book excerpt: In this paper we investigate the empirical performance of unconditionally efficient portfolios strategies for a number of commonly used predictive variables. These strategies, which optimally utilize asset return predictability in portfolio formation were studied by Hansen and Richard (1987) and Ferson and Siegel (2001). Our criterion is to maximize various ex-post performance measures and we conduct both in-sample as well as out-of-sample analysis. Our analysis allows us to determine the economic value of using different predictor variables and also groups of predictor variables.Overall we find that the optimal use of conditioning information significantly improves the risk-return tradeoff available to a mean-variance investor relative to fixed weight strategies. These findings are consistent across portfolio efficiency measures such as Sharpe ratios, portfolio variance subject to a mean constraint or portfolio mean subject to a volatility constraint as well as measures of economic value such as switching costs.In addition we also compare the performance of the unconditionally efficient strategies with conditionally efficient strategies from an investment-based perspective. We find that the performance of the two strategies is quite different due to the differing response of the portfolio weights of the two strategies to conditioning information.

Download or read book Complex Systems in Finance and Econometrics written by Robert A. Meyers and published by Springer Science & Business Media. This book was released on 2010-11-03 with total page 919 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Download or read book On Measuring the Economic Significance of Asset Return Predictability written by Murray Carlson and published by . This book was released on 2001 with total page 70 pages. Available in PDF, EPUB and Kindle. Book excerpt: A number of recent studies have measured the quantitative effect of excess return predictability on the optimal consumption and portfolio choices of a rational investor, and they have used the utility costs of ignoring predictability as a natural measure of economic significance. We use a general equilibrium model as a laboratory for generating predictable excess returns and for assessing the properties of the estimated consumption/portfolio rules, under both the empirical and the true dynamics of excess returns. We find that conditional rules based on ordinary least squares estimates of excess returns are severely biased, and they have a large variance across multiple simulated histories of the model. In this experiment, we find the estimation issues to be so severe that the simple unconditional consumption and portfolio rules, from Merton (1969), actually outperform (in a utility cost sense) both simple and bias-corrected empirical estimates of conditionally optimal policies.

Download or read book Applied Stochastic Control of Jump Diffusions written by Bernt Øksendal and published by Springer Science & Business Media. This book was released on 2007-04-26 with total page 263 pages. Available in PDF, EPUB and Kindle. Book excerpt: Here is a rigorous introduction to the most important and useful solution methods of various types of stochastic control problems for jump diffusions and its applications. Discussion includes the dynamic programming method and the maximum principle method, and their relationship. The text emphasises real-world applications, primarily in finance. Results are illustrated by examples, with end-of-chapter exercises including complete solutions. The 2nd edition adds a chapter on optimal control of stochastic partial differential equations driven by Lévy processes, and a new section on optimal stopping with delayed information. Basic knowledge of stochastic analysis, measure theory and partial differential equations is assumed.

Download or read book Efficient Use of Conditioning Information written by Abhay Abhyankar and published by . This book was released on 2019 with total page 44 pages. Available in PDF, EPUB and Kindle. Book excerpt: In this paper we propose a new Sharpe ratio based test of asset return predictability. Intuitively, a variable that predicts returns is of value to an investor if it allows the construction of 'managed' portfolios that expand the unconditional mean-variance efficient frontier, and thus the investor's opportunity set. The maximum Sharpe ratio achievable using the predictive information efficiently therefore provides a convenient measure of the extent to which predictability matters. We build on the conditional asset pricing theory of Hansen and Richard (1987) to explicitly characterize the difference in maximum squared Sharpe ratios with and without conditioning information. We show that this difference is directly related to the R^2 of a predictive regression. Our test statistic is closely related to the Wald test for the regression coefficient. Under the null hypothesis of no predictability, the difference in squared Sharpe ratios is zero. Rejection of the null hypothesis thus implies that the presence of return predictability significantly expands the mean-variance frontier.Using our test, we find that at short (monthly) horizon, using the consumption-wealth ratio as predictor variable, (Lettau and Ludvigson, 2001), we clearly reject the null hypothesis of no predictability. In contrast, dividend yield has at most marginal effect. However, at longer horizons the effect of dividend yield becomes more pronounced. An important implication of our results is that neither the fixed-weight three-factor Fama-French (1988) model, nor the Carhart (1996) model, can be viable conditional asset pricing models when consumption-wealth ratio is chosen as the conditioning variable. Our analysis is closely related to, and extends the work of Ferson and Siegel (2001), Bekaert and Liu (2001), and Kirby (1998).

Download or read book Handbook of Economic Forecasting written by Graham Elliott and published by Elsevier. This book was released on 2013-08-23 with total page 667 pages. Available in PDF, EPUB and Kindle. Book excerpt: The highly prized ability to make financial plans with some certainty about the future comes from the core fields of economics. In recent years the availability of more data, analytical tools of greater precision, and ex post studies of business decisions have increased demand for information about economic forecasting. Volumes 2A and 2B, which follows Nobel laureate Clive Granger's Volume 1 (2006), concentrate on two major subjects. Volume 2A covers innovations in methodologies, specifically macroforecasting and forecasting financial variables. Volume 2B investigates commercial applications, with sections on forecasters' objectives and methodologies. Experts provide surveys of a large range of literature scattered across applied and theoretical statistics journals as well as econometrics and empirical economics journals. The Handbook of Economic Forecasting Volumes 2A and 2B provide a unique compilation of chapters giving a coherent overview of forecasting theory and applications in one place and with up-to-date accounts of all major conceptual issues. - Focuses on innovation in economic forecasting via industry applications - Presents coherent summaries of subjects in economic forecasting that stretch from methodologies to applications - Makes details about economic forecasting accessible to scholars in fields outside economics

Download or read book Empirical Asset Pricing written by Wayne Ferson and published by MIT Press. This book was released on 2019-03-12 with total page 497 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Download or read book Matrix Riccati Equations in Control and Systems Theory written by Hisham Abou-Kandil and published by Birkhäuser. This book was released on 2012-12-06 with total page 584 pages. Available in PDF, EPUB and Kindle. Book excerpt: The authors present the theory of symmetric (Hermitian) matrix Riccati equations and contribute to the development of the theory of non-symmetric Riccati equations as well as to certain classes of coupled and generalized Riccati equations occurring in differential games and stochastic control. The volume offers a complete treatment of generalized and coupled Riccati equations. It deals with differential, discrete-time, algebraic or periodic symmetric and non-symmetric equations, with special emphasis on those equations appearing in control and systems theory. Extensions to Riccati theory allow to tackle robust control problems in a unified approach. The book makes available classical and recent results to engineers and mathematicians alike. It is accessible to graduate students in mathematics, applied mathematics, control engineering, physics or economics. Researchers working in any of the fields where Riccati equations are used can find the main results with the proper mathematical background.

Download or read book Stock Return Predictability written by David G. McMillan and published by . This book was released on 2018 with total page 40 pages. Available in PDF, EPUB and Kindle. Book excerpt: This paper considers whether the cyclical component of the log dividend-price and price-earnings ratios contain forecast power for stock returns. While the levels of these series contain slow moving information for predicting long horizon returns, for short-horizon returns it is the relative movement between prices and fundamental that matters for investors, and whether prices are accelerating away or converging with fundamentals. We use three approaches to extract the cyclical component of these ratios and conduct a range of in-sample and out-of-sample tests. In addition to the cyclical components, we include further predictive variables that account for economic growth and the relation between stocks and bonds. In-sample estimation using the ratio levels reveals results that do not accord with economic intuition. In contrast, using the cyclical component leads to economically sensible values, as well as improved in-sample fit. Out of-sample forecasting reveals that in comparison to a historical mean model, the performance of our predictive models is generally better, although that depends on metrics used to evaluate the forecasts. Moreover, the cyclical component models outperform the levels based models. Notably, the historical mean model is preferred using standard mean absolute and squared errors measures but the predictive models perform better using Mincer-Zarnowitz and related encompassing regressions. Notably, when using economic based forecast evaluation, the predictive models are clearly preferred, with a stronger ability to predict the future direction of return movements and in obtaining higher trading returns. A further examination of the results reveals that this greater performance largely arises from a superior ability to predict future negative returns.

Download or read book Implications of Return Predictability Across Horizons for Asset Pricing Models written by Carlo A. Favero and published by . This book was released on 2016 with total page 61 pages. Available in PDF, EPUB and Kindle. Book excerpt: We use the evidence on predictability of returns at different horizons to discriminate among competing asset pricing models. Specifically, we employ predictors-based variance bounds, i.e. bounds on the variance of the Stochastic Discount Factors (SDFs) that price a given set of returns conditional on the information contained in a vector of return predictors. We show that return predictability delivers variance bounds that are much tighter than the classical, unconditional Hansen and Jagannathan (1991) bounds. We use the predictors-based bounds to discriminate among three leading classes of asset pricing models: rare disasters, long-run risks and external habit. We find that the rare disasters model of Nakamura, Steinsson, Barro, and Ursua (2013) is the best performer since it satisfies rather comfortably the predictors-based bounds at all horizons. As for long-run risks, while the classical version of Bansal and Yaron (2004) is the model most challenged by the introduction of conditioning information since it struggles to meet the bounds at all horizons, the more general version of Schorfheide, Song, and Yaron (2016), which accounts for multiple volatility components, satisfies the 1- and 5-year bounds as long as the set of test assets includes only equities and T-Bills. The Campbell and Cochrane (1999) habit model lies somehow in the middle: it performs quite well at our longest 5-year horizon while it struggles at the 1-year horizon. Finally, when the set of test assets is augmented with Treasury Bonds, the only model that is able to satisfy the predictors-based bounds is the rare disasters model.

Download or read book Return Predictability Economic Profits and Model Mis Specification written by Yufeng Han and published by . This book was released on 2007 with total page 46 pages. Available in PDF, EPUB and Kindle. Book excerpt: This paper addresses the question whether investors can profit from return predictability in the real world while focusing on the impact of the data-generating process (DGP). We estimate an array of predictive models ranging from the simplest VAR to nonparametric ones and evaluate their out-of-sample portfolio performance with various predictive variables. We find that despite the significant statistical improvement, the better specified predictive models do not consistently outperform the VAR. Another striking finding is that investors appear to be better off predicting only the sign, but not the magnitude, of the market expected excess returns.

Download or read book Empirical Analysis of Stock Market Return Predictability written by Justus Heuer and published by . This book was released on 2009 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Machine Learning for Asset Management written by Emmanuel Jurczenko and published by John Wiley & Sons. This book was released on 2020-10-06 with total page 460 pages. Available in PDF, EPUB and Kindle. Book excerpt: This new edited volume consists of a collection of original articles written by leading financial economists and industry experts in the area of machine learning for asset management. The chapters introduce the reader to some of the latest research developments in the area of equity, multi-asset and factor investing. Each chapter deals with new methods for return and risk forecasting, stock selection, portfolio construction, performance attribution and transaction costs modeling. This volume will be of great help to portfolio managers, asset owners and consultants, as well as academics and students who want to improve their knowledge of machine learning in asset management.

Download or read book Asset Return Predictability in a Heterogeneous Agent Equilibrium Model written by Murray Carlson and published by . This book was released on 2015 with total page 55 pages. Available in PDF, EPUB and Kindle. Book excerpt: We use a general equilibrium model as a laboratory for generating predictable excess returns and for assessing the properties of the estimated consumption/portfolio rules, under both the empirical and the true dynamics of excess returns. The advantage of this approach, relative to the existing literature, is that the equilibrium model delineates the precise nature of the risk/return trade-off within an optimizing setting that endogenizes return predictability. In the experiments that we consider, the estimation issues are so severe that simple unconditional consumption and portfolio rules actually outperform (in a utility cost sense) both simple and bias-corrected empirical estimates of conditionally optimal policies.

Download or read book Essays on Stock Return Predictability and Portfolio Allocation written by Bradley Steele Paye and published by . This book was released on 2004 with total page 380 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Optimal Portfolio Choice with Asset Return Predictability and Nontradable Labor Income written by and published by . This book was released on 2015 with total page 70 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book The Use of Extreme Value Theory for Return Predictability written by David Happersberger and published by . This book was released on 2015 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: