A Likelihood-Based Comparison of Macro Asset Pricing Models

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ISBN 13 :
Total Pages : pages
Book Rating : 4.:/5 (979 download)

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Book Synopsis A Likelihood-Based Comparison of Macro Asset Pricing Models by : Andrew Y. Chen Chen

Download or read book A Likelihood-Based Comparison of Macro Asset Pricing Models written by Andrew Y. Chen Chen and published by . This book was released on 2017 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

Essays on Asset Pricing

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ISBN 13 :
Total Pages : 80 pages
Book Rating : 4.:/5 (119 download)

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Book Synopsis Essays on Asset Pricing by : Lingxiao Zhao

Download or read book Essays on Asset Pricing written by Lingxiao Zhao and published by . This book was released on 2020 with total page 80 pages. Available in PDF, EPUB and Kindle. Book excerpt: In my dissertation, I focus on theoretical and empirical asset pricing from a Bayesian model comparison perspective. In the first Chapter, revisiting the framework of Barillas and Shanken (2018), BS henceforth, we show that the Bayesian marginal likelihood-based model comparison method in that paper is unsound: the priors on the nuisance parameters across models must satisfy a change of variable property for densities that is violated by the Jeffreys priors used in the BS method. Extensive simulation exercises confirm that the BS method performs unsatisfactorily. We derive a new class of improper priors on the nuisance parameters, starting from a single improper prior, which leads to valid marginal likelihoods and model comparisons. The performance of our marginal likelihoods is significantly better, allowing for reliable Bayesian work on which factors are risk factors in asset pricing models. In the second Chapter, starting from the twelve distinct risk factors in four well-established asset pricing models, a pool we refer to as the winners, we construct and compare 4,095 asset pricing models and find that the model with the risk factors, Mkt, SMB, MOM, ROE, MGMT, and PEAD, performs the best in terms of Bayesian posterior probability, out-of-sample predictability, and Sharpe ratio. A more extensive model comparison of 8,388,607 models, constructed from the twelve winners plus eleven principal components of anomalies unexplained by the winners, shows the benefit of incorporating information in genuine anomalies in explaining the cross-section of expected equity returns.

Empirical Asset Pricing

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Publisher : MIT Press
ISBN 13 : 0262039370
Total Pages : 497 pages
Book Rating : 4.2/5 (62 download)

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Book Synopsis Empirical Asset Pricing by : Wayne Ferson

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.

Comparing Asset Pricing Models

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ISBN 13 :
Total Pages : pages
Book Rating : 4.:/5 (933 download)

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Book Synopsis Comparing Asset Pricing Models by :

Download or read book Comparing Asset Pricing Models written by and published by . This book was released on 2015 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: A Bayesian asset-pricing test is derived that is easily computed in closed-form from the standard F-statistic. Given a set of candidate traded factors, we develop a related test procedure that permits an analysis of model comparison, i.e., the computation of model probabilities for the collection of all possible pricing models that are based on subsets of the given factors. We find that the recent models of Hou, Xue and Zhang (2015a,b) and Fama and French (2015a,b) are both dominated by five and six-factor models that include a momentum factor, along with value and profitability factors that are updated monthly.

Assessing Misspecified Asset Pricing Models with Empirical Likelihood Estimators

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ISBN 13 :
Total Pages : 44 pages
Book Rating : 4.:/5 (129 download)

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Book Synopsis Assessing Misspecified Asset Pricing Models with Empirical Likelihood Estimators by : Caio Almeida

Download or read book Assessing Misspecified Asset Pricing Models with Empirical Likelihood Estimators written by Caio Almeida and published by . This book was released on 2009 with total page 44 pages. Available in PDF, EPUB and Kindle. Book excerpt: Hansen and Jagannathan (1997) compare misspecified asset pricing models based on least-square projections on a family of admissible stochastic discount factors. We extend their fundamental contribution by considering Minimum Discrepancy (MD) projections where misspecification is measured by convex functions that can explicitly take into account higher moments of asset returns. The MD problems are solved on dual spaces with the interpretation of optimal portfolio problems based on HARA utility functions, producing a family of estimators that captures the least-square problem as a particular case. We use our proposed methodology to test the Consumption Asset Pricing Model and illustrate, under several different discrepancy functions and regions of the parametric space, the relation between the parametric proxy model, and the closest admissible SDF. On the estimation problem, not surprisingly, all MD estimators clearly reject the CCAPM model. However, some of these estimators lead to admissible SDFs that are very distinct from the one implied by the least-square solution. By their pricing implications, this rich set of optimal MD SDFs represent useful tools to diagnose missing factors in asset pricing models.

Maximum-likelihood Estimation of the Consumption-based Capital-asset Pricing Model

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ISBN 13 :
Total Pages : 122 pages
Book Rating : 4.:/5 (753 download)

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Book Synopsis Maximum-likelihood Estimation of the Consumption-based Capital-asset Pricing Model by : Yong-ho Baek

Download or read book Maximum-likelihood Estimation of the Consumption-based Capital-asset Pricing Model written by Yong-ho Baek and published by . This book was released on 1990 with total page 122 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Asset Pricing

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Publisher : Princeton University Press
ISBN 13 : 1400829135
Total Pages : 560 pages
Book Rating : 4.4/5 (8 download)

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Book Synopsis Asset Pricing by : John H. Cochrane

Download or read book Asset Pricing written by John H. Cochrane and published by Princeton University Press. This book was released on 2009-04-11 with total page 560 pages. Available in PDF, EPUB and Kindle. Book excerpt: Winner of the prestigious Paul A. Samuelson Award for scholarly writing on lifelong financial security, John Cochrane's Asset Pricing now appears in a revised edition that unifies and brings the science of asset pricing up to date for advanced students and professionals. Cochrane traces the pricing of all assets back to a single idea--price equals expected discounted payoff--that captures the macro-economic risks underlying each security's value. By using a single, stochastic discount factor rather than a separate set of tricks for each asset class, Cochrane builds a unified account of modern asset pricing. He presents applications to stocks, bonds, and options. Each model--consumption based, CAPM, multifactor, term structure, and option pricing--is derived as a different specification of the discounted factor. The discount factor framework also leads to a state-space geometry for mean-variance frontiers and asset pricing models. It puts payoffs in different states of nature on the axes rather than mean and variance of return, leading to a new and conveniently linear geometrical representation of asset pricing ideas. Cochrane approaches empirical work with the Generalized Method of Moments, which studies sample average prices and discounted payoffs to determine whether price does equal expected discounted payoff. He translates between the discount factor, GMM, and state-space language and the beta, mean-variance, and regression language common in empirical work and earlier theory. The book also includes a review of recent empirical work on return predictability, value and other puzzles in the cross section, and equity premium puzzles and their resolution. Written to be a summary for academics and professionals as well as a textbook, this book condenses and advances recent scholarship in financial economics.

A New Model of Capital Asset Prices

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Publisher : Springer Nature
ISBN 13 : 3030651975
Total Pages : 326 pages
Book Rating : 4.0/5 (36 download)

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Book Synopsis A New Model of Capital Asset Prices by : James W. Kolari

Download or read book A New Model of Capital Asset Prices written by James W. Kolari and published by Springer Nature. This book was released on 2021-03-01 with total page 326 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book proposes a new capital asset pricing model dubbed the ZCAPM that outperforms other popular models in empirical tests using US stock returns. The ZCAPM is derived from Fischer Black’s well-known zero-beta CAPM, itself a more general form of the famous capital asset pricing model (CAPM) by 1990 Nobel Laureate William Sharpe and others. It is widely accepted that the CAPM has failed in its theoretical relation between market beta risk and average stock returns, as numerous studies have shown that it does not work in the real world with empirical stock return data. The upshot of the CAPM’s failure is that many new factors have been proposed by researchers. However, the number of factors proposed by authors has steadily increased into the hundreds over the past three decades. This new ZCAPM is a path-breaking asset pricing model that is shown to outperform popular models currently in practice in finance across different test assets and time periods. Since asset pricing is central to the field of finance, it can be broadly employed across many areas, including investment analysis, cost of equity analyses, valuation, corporate decision making, pension portfolio management, etc. The ZCAPM represents a revolution in finance that proves the CAPM as conceived by Sharpe and others is alive and well in a new form, and will certainly be of interest to academics, researchers, students, and professionals of finance, investing, and economics.

COMPARING ASSET PRICING MODELS USING QUANTILE REGRESSIONS FOR DISTANCE-BASED METRICS.

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ISBN 13 :
Total Pages : pages
Book Rating : 4.:/5 (124 download)

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Book Synopsis COMPARING ASSET PRICING MODELS USING QUANTILE REGRESSIONS FOR DISTANCE-BASED METRICS. by : Ziwen Wang

Download or read book COMPARING ASSET PRICING MODELS USING QUANTILE REGRESSIONS FOR DISTANCE-BASED METRICS. written by Ziwen Wang and published by . This book was released on 2019 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: This thesis compares the performance of ten well-known asset-pricing models for cross-sectional returns of various portfolios from January 1967 to December 2016. We rely on the distance-based metrics as the primary performance measure and use quantile regressions to compare models at a wide range of quantiles of the asset return distribution. The model performance is examined from both statistical and economic perspectives. We find that the Fama and French (2018) six-factor model reliably outperforms other competing models in pricing the selected portfolios. In particular, both the momentum factor and the value factor are necessary in asset-pricing models to explain the return variations in different quantiles. We also find that the performance of Barilla and Shanken (2018) six-factor model exhibits strong explanatory power in medium to high quantiles, despite some existing findings that their model performs poorly in OLS regressions. Overall, we show that the distance-based metrics coupled with quantile regressions provide a consistent and robust model-comparison methodology that largely enhances the existing OLS-based statistical measures.

Macro-finance Decoupling

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ISBN 13 :
Total Pages : pages
Book Rating : 4.:/5 (122 download)

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Book Synopsis Macro-finance Decoupling by : Xu Cheng

Download or read book Macro-finance Decoupling written by Xu Cheng and published by . This book was released on 2020 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

Nonlinearity and Endogeneity in Macro-Asset Pricing

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Publisher : International Monetary Fund
ISBN 13 : 1451845081
Total Pages : 30 pages
Book Rating : 4.4/5 (518 download)

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Book Synopsis Nonlinearity and Endogeneity in Macro-Asset Pricing by : Mr.Charles Frederick Kramer

Download or read book Nonlinearity and Endogeneity in Macro-Asset Pricing written by Mr.Charles Frederick Kramer and published by International Monetary Fund. This book was released on 1995-03-01 with total page 30 pages. Available in PDF, EPUB and Kindle. Book excerpt: We find nonlinear feedback between the stock market and certain macroeconomic factors. This evidence calls into question the adequacy of these factors as a basis for a linear pricing model. It also means that the interaction between the economy and the stock market is more complicated than given by the simple relationship in Chen, Roll and Ross (1986). It also suggests that the univariate evidence for nonlinear dynamics in the stock market may be due to the complicated relationship between the macroeconomy and the stock market.

Multi-moment Asset Allocation and Pricing Models

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Publisher : Wiley
ISBN 13 : 0470057998
Total Pages : 258 pages
Book Rating : 4.4/5 (7 download)

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Book Synopsis Multi-moment Asset Allocation and Pricing Models by : Emmanuel Jurczenko

Download or read book Multi-moment Asset Allocation and Pricing Models written by Emmanuel Jurczenko and published by Wiley. This book was released on 2006-10-02 with total page 258 pages. Available in PDF, EPUB and Kindle. Book excerpt: While mainstream financial theories and applications assume that asset returns are normally distributed and individual preferences are quadratic, the overwhelming empirical evidence shows otherwise. Indeed, most of the asset returns exhibit “fat-tails” distributions and investors exhibit asymmetric preferences. These empirical findings lead to the development of a new area of research dedicated to the introduction of higher order moments in portfolio theory and asset pricing models. Multi-moment asset pricing is a revolutionary new way of modeling time series in finance which allows various degrees of long-term memory to be generated. It allows risk and prices of risk to vary through time enabling the accurate valuation of long-lived assets. This book presents the state-of-the art in multi-moment asset allocation and pricing models and provides many new developments in a single volume, collecting in a unified framework theoretical results and applications previously scattered throughout the financial literature. The topics covered in this comprehensive volume include: four-moment individual risk preferences, mathematics of the multi-moment efficient frontier, coherent asymmetric risks measures, hedge funds asset allocation under higher moments, time-varying specifications of (co)moments and multi-moment asset pricing models with homogeneous and heterogeneous agents. Written by leading academics, Multi-moment Asset Allocation and Pricing Models offers a unique opportunity to explore the latest findings in this new field of research.

Machine Learning in Asset Pricing

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Publisher : Princeton University Press
ISBN 13 : 0691218706
Total Pages : 156 pages
Book Rating : 4.6/5 (912 download)

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Book Synopsis Machine Learning in Asset Pricing by : Stefan Nagel

Download or read book Machine Learning in Asset Pricing written by Stefan Nagel and published by Princeton University Press. This book was released on 2021-05-11 with total page 156 pages. Available in PDF, EPUB and Kindle. Book excerpt: A groundbreaking, authoritative introduction to how machine learning can be applied to asset pricing Investors in financial markets are faced with an abundance of potentially value-relevant information from a wide variety of different sources. In such data-rich, high-dimensional environments, techniques from the rapidly advancing field of machine learning (ML) are well-suited for solving prediction problems. Accordingly, ML methods are quickly becoming part of the toolkit in asset pricing research and quantitative investing. In this book, Stefan Nagel examines the promises and challenges of ML applications in asset pricing. Asset pricing problems are substantially different from the settings for which ML tools were developed originally. To realize the potential of ML methods, they must be adapted for the specific conditions in asset pricing applications. Economic considerations, such as portfolio optimization, absence of near arbitrage, and investor learning can guide the selection and modification of ML tools. Beginning with a brief survey of basic supervised ML methods, Nagel then discusses the application of these techniques in empirical research in asset pricing and shows how they promise to advance the theoretical modeling of financial markets. Machine Learning in Asset Pricing presents the exciting possibilities of using cutting-edge methods in research on financial asset valuation.

Comparing Consumption-Based Asset Pricing Models

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ISBN 13 :
Total Pages : 50 pages
Book Rating : 4.:/5 (13 download)

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Book Synopsis Comparing Consumption-Based Asset Pricing Models by : Yum K. Kwan

Download or read book Comparing Consumption-Based Asset Pricing Models written by Yum K. Kwan and published by . This book was released on 2014 with total page 50 pages. Available in PDF, EPUB and Kindle. Book excerpt: Eight consumption-based asset pricing models are developed, estimated and compared their capacities in accounting for the asset markets in Hong Kong. Results based on conventional metrics or recently developed econometric techniques deliver similar results: introducing housing into the consumption-based models does not always improve the models' performance; how it is introduced matters. Recursive utility model and its housing-augmented variant, which emphasize the importance of early resolution of uncertainty and long term risk, outperform alternative models in forecasting stock returns. Collateral constraint model outperforms in predicting housing return, suggesting the importance of imperfect capital market in the housing market.

Comparing Asset Pricing Models

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Publisher :
ISBN 13 :
Total Pages : 47 pages
Book Rating : 4.:/5 (424 download)

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Book Synopsis Comparing Asset Pricing Models by : Lubos̆ Pástor

Download or read book Comparing Asset Pricing Models written by Lubos̆ Pástor and published by . This book was released on 1999 with total page 47 pages. Available in PDF, EPUB and Kindle. Book excerpt: We investigate the portfolio choices of mean-variance-optimizing investors who use sample evidence to update prior beliefs centered on either risk-based or characteristic-based pricing models. With dogmatic beliefs in such models and an unconstrained ratio of position size to capital, optimal portfolios can differ across models to economically significant degrees. The differences are substantially reduced by modest uncertainty about the models' pricing abilities. When the ratio of position size to capital is subject to realistic constraints, the differences in portfolios across models become even less important, nonexistent in some cases

A Parsimonious Macroeconomic Model for Asset Pricing

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Publisher :
ISBN 13 :
Total Pages : 50 pages
Book Rating : 4.:/5 (9 download)

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Book Synopsis A Parsimonious Macroeconomic Model for Asset Pricing by : Fatih Guvenen

Download or read book A Parsimonious Macroeconomic Model for Asset Pricing written by Fatih Guvenen and published by . This book was released on 2009 with total page 50 pages. Available in PDF, EPUB and Kindle. Book excerpt: Abstract: In this paper, I study asset prices in a two-agent macroeconomic model with two key features: limited participation in the stock market and heterogeneity in the elasticity of intertemporal substitution in consumption (EIS). The model is consistent with some prominent features of asset prices that have been documented in the literature, such as a high equity premium; relatively smooth interest rates; procyclical variation in stock prices; and countercyclical variation in the equity premium, in its volatility, and in the Sharpe ratio. While the model also reproduces the long-horizon predictability of the equity premium, the extent of predictability is smaller than in the data. In this model, the risk-free asset market plays a central role by allowing the non-stockholders (who have low EIS) to smooth the fluctuations in their labor income. This process concentrates nonstockholders' aggregate labor income risk among a small group of stockholders, who then demand a high premium for bearing the aggregate equity risk. Furthermore, this mechanism is consistent with the very small share of aggregate wealth held by non-stockholders in the US data, which has proved problematic for previous models with limited participation. I show that this large wealth inequality is also important for the model's ability to generate a countercyclical equity premium. Finally, when it comes to business cycle performance the model's progress has been more limited: consumption is still too volatile compared to the US data, whereas investment is still too smooth. These are important areas for potential improvement in this framework

NBER Macroeconomics Annual 1992

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Publisher : MIT Press
ISBN 13 : 9780262521741
Total Pages : 312 pages
Book Rating : 4.5/5 (217 download)

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Book Synopsis NBER Macroeconomics Annual 1992 by : Olivier Blanchard

Download or read book NBER Macroeconomics Annual 1992 written by Olivier Blanchard and published by MIT Press. This book was released on 1992 with total page 312 pages. Available in PDF, EPUB and Kindle. Book excerpt: This is the seventh in a series of annuals from the National Bureau of Economic Research that are designed to stimulate research on problems in applied economics, to bring frontier theoretical developments to a wider audience, and to accelerate the interaction between analytical and empirical research in macroeconomics. Contents What Shall We Do Today? Goals and Signposts in the Operation of Monetary Policy, Ben S. Bernanke and Frederic S. Mishkin - A Tale of Two Cities: Factor Accumulation and Technical Change in Hong Kong and Singapore, Alwyn Young - International Trade and the Wage Structure, Steven J. Davis - Imperfect Information and Macroeconomic Analysis, Joseph E. Stiglitz and Bruce Greenwald - Asset Pricing Lessons for Macroeconomics, Lars P. Hansen and John H. Cochrane - Postmortem on the Debt Crisis, Daniel Cohen