Download or read book Macroeconomic Risks and Characteristic Based Factor Models written by Söhnke M. Bartram and published by . This book was released on 2019 with total page 49 pages. Available in PDF, EPUB and Kindle. Book excerpt: We show that book-to-market, size, and momentum capture cross-sectional variation in exposures to a broad set of macroeconomic factors identified in the prior literature as potentially important for pricing equities. The factors considered include innovations in economic growth expectations, inflation, the aggregate survival probability, the term structure of interest rates, and the exchange rate. Factor mimicking portfolios constructed on the basis of book-to-market, size, and momentum therefore serve as proxy composite macroeconomic risk factors. Conditional and unconditional cross-sectional asset pricing tests indicate that most of the macroeconomic factors are priced. The performance of an asset pricing model based on the macroeconomic factors is comparable to the performance of the Fama and French (1992, 1993) model. However, the momentum factor is found to contain incremental information for asset pricing.

Download or read book Relations Between Macroeconomic Risks and Characteristic based Factor Models written by Marco Elias Nigg and published by . This book was released on 2011 with total page 106 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Contemporaneous Relations Between Macroeconomic Risks and Characteristic based Factor Models written by Lejla Pintol and published by . This book was released on 2011 with total page 206 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Fundamental Factor Models and Macroeconomic Risks An Orthogonal Decomposition written by Christopher Adcock and published by . This book was released on 2019 with total page 51 pages. Available in PDF, EPUB and Kindle. Book excerpt: Multiple, often competing, characteristic factor models have been proposed to explain the cross-section of stock returns, but with limited economic interpretation of the factors. In this paper, we employ an optimal orthogonalization approach to examine the proportion of explained variation in factor returns, while retaining economic intuition. Findings indicate that a small number of dominant explanatory variables account for much of the explained variation in fundamental factor returns, but pronounced dynamics in exposure attribution are evident. Using quantile regression, we provide evidence of heterogeneous exposures of fundamental factors to macroeconomic variables at extremes of the return distribution. Our results highlight that the majority of characteristic factors proxy for macroeconomic variables, but that relationships may be more intricate than previously thought.

Download or read book Financial Econometrics Modeling Market Microstructure Factor Models and Financial Risk Measures written by G. Gregoriou and published by Springer. This book was released on 2010-12-13 with total page 277 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book proposes new methods to build optimal portfolios and to analyze market liquidity and volatility under market microstructure effects, as well as new financial risk measures using parametric and non-parametric techniques. In particular, it investigates the market microstructure of foreign exchange and futures markets.

Download or read book Risk Based and Factor Investing written by Emmanuel Jurczenko and published by Elsevier. This book was released on 2015-11-24 with total page 488 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is a compilation of recent articles written by leading academics and practitioners in the area of risk-based and factor investing (RBFI). The articles are intended to introduce readers to some of the latest, cutting edge research encountered by academics and professionals dealing with RBFI solutions. Together the authors detail both alternative non-return based portfolio construction techniques and investing style risk premia strategies. Each chapter deals with new methods of building strategic and tactical risk-based portfolios, constructing and combining systematic factor strategies and assessing the related rules-based investment performances. This book can assist portfolio managers, asset owners, consultants, academics and students who wish to further their understanding of the science and art of risk-based and factor investing. Contains up-to-date research from the areas of RBFI Features contributions from leading academics and practitioners in this field Features discussions of new methods of building strategic and tactical risk-based portfolios for practitioners, academics and students

Download or read book Financial Markets and the Real Economy written by John H. Cochrane and published by Now Publishers Inc. This book was released on 2005 with total page 117 pages. Available in PDF, EPUB and Kindle. Book excerpt: Financial Markets and the Real Economy reviews the current academic literature on the macroeconomics of finance.

Download or read book The Level Slope and Curve Factor Model for Stocks Evidence Theory and Explanation written by Charles Clarke and published by . This book was released on 2016 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: The reported number of firm characteristics that predict stock returns is growing at a rapid pace. This dissertation offers a reorganization of this exploding space. In the first chapter, I use regressions to aggregate the explanatory power of many anomalies into one proxy for expected returns. I find that sorting on this proxy creates large spreads in average returns and large alphas when compared to the leading factor models. The procedure allows me to evaluate the marginal economic significance of each anomaly. Asset growth, net stock issues and momentum are the strongest anomaly variables. Anomaly importance varies across size groups, but size provides relatively little explanatory power. I use principal components analysis to show that a strong multifactor structure underlies the spreads created from my one dimensional sort. In the second chapter, I develop a method to extract only the priced factors from stock returns. The first step estimates expected returns based on characteristics. The second uses the expected returns to form portfolios. The last step uses principal components to extract factors from the portfolio returns. The procedure isolates and emphasizes the comovement across assets that is related to expected returns as opposed to firm characteristics. It produces three factors--level, slope and curve--which perform as well or better than other leading models. Horse races show that other leading factors add little to the model. The factors have macroeconomic risk interpretations. The third chapter reevaluates the Consumption Capital Asset Pricing Model's ability to price the cross-section of stocks. With a few adjustments that generate more informative tests by increasing test power, I find that the simple linearized CCAPM often matches key features of the cross-section: the consumption risk premium is positive and significant, the zero beta rate is near zero and insignificant, and the CCAPM captures much of the variation across average portfolio returns. A key stylized fact emerges that many interesting ``anomalies'' share the characteristic that high expected return portfolios tend to have higher covariance with consumption.

Download or read book Portfolio Risk Analysis written by Gregory Connor and published by Princeton University Press. This book was released on 2010-03-15 with total page 400 pages. Available in PDF, EPUB and Kindle. Book excerpt: Portfolio risk forecasting has been and continues to be an active research field for both academics and practitioners. Almost all institutional investment management firms use quantitative models for their portfolio forecasting, and researchers have explored models' econometric foundations, relative performance, and implications for capital market behavior and asset pricing equilibrium. Portfolio Risk Analysis provides an insightful and thorough overview of financial risk modeling, with an emphasis on practical applications, empirical reality, and historical perspective. Beginning with mean-variance analysis and the capital asset pricing model, the authors give a comprehensive and detailed account of factor models, which are the key to successful risk analysis in every economic climate. Topics range from the relative merits of fundamental, statistical, and macroeconomic models, to GARCH and other time series models, to the properties of the VIX volatility index. The book covers both mainstream and alternative asset classes, and includes in-depth treatments of model integration and evaluation. Credit and liquidity risk and the uncertainty of extreme events are examined in an intuitive and rigorous way. An extensive literature review accompanies each topic. The authors complement basic modeling techniques with references to applications, empirical studies, and advanced mathematical texts. This book is essential for financial practitioners, researchers, scholars, and students who want to understand the nature of financial markets or work toward improving them.

Download or read book Macroeconomic Factors Strike Back written by Daniele Bianchi and published by . This book was released on 2019 with total page 44 pages. Available in PDF, EPUB and Kindle. Book excerpt: This paper proposes a Bayesian estimation framework for a typical multi-factor model with time-varying risk exposures to macroeconomic risk factors and corresponding premia to price U.S. stocks and bonds. The model assumes that risk exposures and idiosyncratic volatility follow a break-point latent process, allowing for changes at any point in time but not restricting them to change at all points. An empirical application to 40 years of U.S. data and 23 portfolios shows that the approach yields sensible results compared to previous two-step methods based on naive recursive estimation schemes, as well as a set of alternative model restrictions. A variance decomposition test shows that although most of the predictable variation comes from the market risk premium, a number of additional macroeconomic risks, including real output and inflation shocks, are significantly priced in the cross-section. A Bayes factor analysis decisively favors the proposed change-point model.

Download or read book Factor models on explaining firm s returns in a credit risk context written by Stefan Heini and published by GRIN Verlag. This book was released on 2014-04-22 with total page 30 pages. Available in PDF, EPUB and Kindle. Book excerpt: Seminar paper from the year 2012 in the subject Business economics - Investment and Finance, grade: 1, University of Leicester (School of Management), language: English, abstract: Scientists use factor models to try to understand the relationship between risk and asset returns and to make estimations of the likely development of the returns in the future (Sharpe 2001, p.1). Today, two of the most renowned factor models to estimate expected returns of an asset or a firm are the Capital Asset Pricing Model (CAPM), introduced by Treynor (1962), Sharpe (1964), Lintner (1965) and Mossin (1966), and the three-factor model of Fama and French of 1992 (Bartholdy and Peare 2004, p.408). While the CAPM claims the existence of a positive linear relationship between the volatility/risk (market beta) and expected returns (Bali and Cakici 2004, p.57), Fama and French state that their three-factor model (3FM) has an improved performance in estimating returns as – so they claim – size and book-to-market equity have significant predictive power, too (Fama and French 1992, p.427).

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 Factor Investing and Asset Allocation A Business Cycle Perspective written by Vasant Naik and published by CFA Institute Research Foundation. This book was released on 2016-12-30 with total page 192 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Asset Management written by Andrew Ang and published by Oxford University Press, USA. This book was released on 2014 with total page 717 pages. Available in PDF, EPUB and Kindle. Book excerpt: Stocks and bonds? Real estate? Hedge funds? Private equity? If you think those are the things to focus on in building an investment portfolio, Andrew Ang has accumulated a body of research that will prove otherwise. In this book, Ang upends the conventional wisdom about asset allocation by showing that what matters aren't asset class labels but the bundles of overlapping risks they represent.

Download or read book A Macroeconomic Hedge Portfolios and the Cross Section of Stock Returns written by Maximilian Renz and published by . This book was released on 2018 with total page 46 pages. Available in PDF, EPUB and Kindle. Book excerpt: This paper proposes a zero-investment portfolio that can be used to hedge against unexpected changes in the state of the economy. The so-called “macroeconomic hedge portfolio” (MHP) is formed based on a stock's hedging ability, which we derive from a stock's price reaction to important scheduled macroeconomic news. This portfolio earns a positive risk premium over time and a similar premium when used as a risk factor in an asset pricing model. A model that includes the MHP along with the market factor can explain the cross-section of stock returns about as well as the factor models of Fama and French (1993, 2014). Furthermore, our results provide a possible risk-based explanation for the roles of the characteristic-sorted Fama-French factors: they are, to some extent, compensation for higher exposure to the risk related to unexpected changes in the state of the economy. When the MHP is present in a model, the Fama-French factors lose much of their ability to explain the cross-section of stock returns.

Download or read book Factor Models on Explaining Firm s Returns in a Credit Risk Context written by Stefan Heini and published by . This book was released on 2014-04-23 with total page 32 pages. Available in PDF, EPUB and Kindle. Book excerpt: Seminar paper from the year 2012 in the subject Business economics - Investment and Finance, grade: 1, University of Leicester (School of Management), language: English, abstract: Scientists use factor models to try to understand the relationship between risk and asset returns and to make estimations of the likely development of the returns in the future (Sharpe 2001, p.1). Today, two of the most renowned factor models to estimate expected returns of an asset or a firm are the Capital Asset Pricing Model (CAPM), introduced by Treynor (1962), Sharpe (1964), Lintner (1965) and Mossin (1966), and the three-factor model of Fama and French of 1992 (Bartholdy and Peare 2004, p.408). While the CAPM claims the existence of a positive linear relationship between the volatility/risk (market beta) and expected returns (Bali and Cakici 2004, p.57), Fama and French state that their three-factor model (3FM) has an improved performance in estimating returns as - so they claim - size and book-to-market equity have significant predictive power, too (Fama and French 1992, p.427).

Download or read book A Practitioner s Guide to Factor Models written by and published by . This book was released on 1994-01-01 with total page 87 pages. Available in PDF, EPUB and Kindle. Book excerpt: