Machine Learning in Asset Pricing

Machine Learning in Asset Pricing

Author: Stefan Nagel

Publisher: Princeton University Press

Published: 2021-05-11

Total Pages: 156

ISBN-13: 0691218706

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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.


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.

Learning from Prices

Learning from Prices

Author: Manuel Amador

Publisher:

Published: 2008

Total Pages: 68

ISBN-13:

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We study the effect of releasing public information about productivity or monetary shocks when agents learn from nominal prices. While public releases have the benefit of providing new information, they can have the cost of reducing the informational efficiency of the price system. We show that, when agents have private information about monetary shocks, the cost can dominate, in that public releases increase uncertainty about fundamentals. In some cases, public releases can create or eliminate multiple equilibria. Our results are robust to adding velocity shocks, imperfectly observable prices, large idiosyncratic shocks, and introducing a bond market.


Book Synopsis Learning from Prices by : Manuel Amador

Download or read book Learning from Prices written by Manuel Amador and published by . This book was released on 2008 with total page 68 pages. Available in PDF, EPUB and Kindle. Book excerpt: We study the effect of releasing public information about productivity or monetary shocks when agents learn from nominal prices. While public releases have the benefit of providing new information, they can have the cost of reducing the informational efficiency of the price system. We show that, when agents have private information about monetary shocks, the cost can dominate, in that public releases increase uncertainty about fundamentals. In some cases, public releases can create or eliminate multiple equilibria. Our results are robust to adding velocity shocks, imperfectly observable prices, large idiosyncratic shocks, and introducing a bond market.

Public and Private Learning from Prices, Strategic Substitutability and Complementary, and Equilibrium Multiplicity

Public and Private Learning from Prices, Strategic Substitutability and Complementary, and Equilibrium Multiplicity

Author: Carolina Manzano

Publisher:

Published: 2010

Total Pages: 42

ISBN-13:

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Book Synopsis Public and Private Learning from Prices, Strategic Substitutability and Complementary, and Equilibrium Multiplicity by : Carolina Manzano

Download or read book Public and Private Learning from Prices, Strategic Substitutability and Complementary, and Equilibrium Multiplicity written by Carolina Manzano and published by . This book was released on 2010 with total page 42 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Asking About Prices

Asking About Prices

Author: Alan Blinder

Publisher: Russell Sage Foundation

Published: 1998-01-08

Total Pages: 412

ISBN-13: 1610440684

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Why do consumer prices and wages adjust so slowly to changes in market conditions? The rigidity or stickiness of price setting in business is central to Keynesian economic theory and a key to understanding how monetary policy works, yet economists have made little headway in determining why it occurs. Asking About Prices offers a groundbreaking empirical approach to a puzzle for which theories abound but facts are scarce. Leading economist Alan Blinder, along with co-authors Elie Canetti, David Lebow, and Jeremy B. Rudd, interviewed a national, multi-industry sample of 200 CEOs, company heads, and other corporate price setters to test the validity of twelve prominent theories of price stickiness. Using everyday language and pertinent scenarios, the carefully designed survey asked decisionmakers how prominently these theoretical concerns entered into their own attitudes and thought processes. Do businesses tend to view the costs of changing prices as prohibitive? Do they worry that lower prices will be equated with poorer quality goods? Are firms more likely to try alternate strategies to changing prices, such as warehousing excess inventory or improving their quality of service? To what extent are prices held in place by contractual agreements, or by invisible handshakes? Asking About Prices offers a gold mine of previously unavailable information. It affirms the widespread presence of price stickiness in American industry, and offers the only available guide to such business details as what fraction of goods are sold by fixed price contract, how often transactions involve repeat customers, and how and when firms review their prices. Some results are surprising: contrary to popular wisdom, prices do not increase more easily than they decrease, and firms do not appear to practice anticipatory pricing, even when they can foresee cost increases. Asking About Prices also offers a chapter-by-chapter review of the survey findings for each of the twelve theories of price stickiness. The authors determine which theories are most popular with actual price setters, how practices vary within different business sectors, across firms of different sizes, and so on. They also direct economists' attention toward a rationale for price stickiness that does not stem from conventional theory, namely a strong reluctance by firms to antagonize or inconvenience their customers. By illuminating how company executives actually think about price setting, Asking About Prices provides an elegant model of a valuable new approach to conducting economic research.


Book Synopsis Asking About Prices by : Alan Blinder

Download or read book Asking About Prices written by Alan Blinder and published by Russell Sage Foundation. This book was released on 1998-01-08 with total page 412 pages. Available in PDF, EPUB and Kindle. Book excerpt: Why do consumer prices and wages adjust so slowly to changes in market conditions? The rigidity or stickiness of price setting in business is central to Keynesian economic theory and a key to understanding how monetary policy works, yet economists have made little headway in determining why it occurs. Asking About Prices offers a groundbreaking empirical approach to a puzzle for which theories abound but facts are scarce. Leading economist Alan Blinder, along with co-authors Elie Canetti, David Lebow, and Jeremy B. Rudd, interviewed a national, multi-industry sample of 200 CEOs, company heads, and other corporate price setters to test the validity of twelve prominent theories of price stickiness. Using everyday language and pertinent scenarios, the carefully designed survey asked decisionmakers how prominently these theoretical concerns entered into their own attitudes and thought processes. Do businesses tend to view the costs of changing prices as prohibitive? Do they worry that lower prices will be equated with poorer quality goods? Are firms more likely to try alternate strategies to changing prices, such as warehousing excess inventory or improving their quality of service? To what extent are prices held in place by contractual agreements, or by invisible handshakes? Asking About Prices offers a gold mine of previously unavailable information. It affirms the widespread presence of price stickiness in American industry, and offers the only available guide to such business details as what fraction of goods are sold by fixed price contract, how often transactions involve repeat customers, and how and when firms review their prices. Some results are surprising: contrary to popular wisdom, prices do not increase more easily than they decrease, and firms do not appear to practice anticipatory pricing, even when they can foresee cost increases. Asking About Prices also offers a chapter-by-chapter review of the survey findings for each of the twelve theories of price stickiness. The authors determine which theories are most popular with actual price setters, how practices vary within different business sectors, across firms of different sizes, and so on. They also direct economists' attention toward a rationale for price stickiness that does not stem from conventional theory, namely a strong reluctance by firms to antagonize or inconvenience their customers. By illuminating how company executives actually think about price setting, Asking About Prices provides an elegant model of a valuable new approach to conducting economic research.

Learning, Monetary Policy and Asset Prices

Learning, Monetary Policy and Asset Prices

Author: Mr.Marco Airaudo

Publisher: International Monetary Fund

Published: 2015-01-23

Total Pages: 34

ISBN-13: 1498343465

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We explore the stability properties of interest rate rules granting an explicit response to stock prices in a New-Keynesian DSGE model populated by Blanchard-Yaari non-Ricardian households. The constant turnover between long-time stock holders and asset-poor newcomers generates a financial wealth channel where the wedge between current and expected future aggregate consumption is affected by the market value of financial wealth, making stock prices non-redundant for the business cycle. We find that if the financial wealth channel is sufficiently strong, responding to stock prices enlarges the policy space for which the rational expectations equilibrium is both determinate and learnable (in the E-stability sense of Evans and Honkapohja, 2001). In particular, the Taylor principle ceases to be necessary and also mildly passive policy responses to inflation lead to determinacy and E-stability. Our results appear to be more prominent in economies characterized by a lower elasticity of substitution across differentiated products and/or more rigid labor markets.


Book Synopsis Learning, Monetary Policy and Asset Prices by : Mr.Marco Airaudo

Download or read book Learning, Monetary Policy and Asset Prices written by Mr.Marco Airaudo and published by International Monetary Fund. This book was released on 2015-01-23 with total page 34 pages. Available in PDF, EPUB and Kindle. Book excerpt: We explore the stability properties of interest rate rules granting an explicit response to stock prices in a New-Keynesian DSGE model populated by Blanchard-Yaari non-Ricardian households. The constant turnover between long-time stock holders and asset-poor newcomers generates a financial wealth channel where the wedge between current and expected future aggregate consumption is affected by the market value of financial wealth, making stock prices non-redundant for the business cycle. We find that if the financial wealth channel is sufficiently strong, responding to stock prices enlarges the policy space for which the rational expectations equilibrium is both determinate and learnable (in the E-stability sense of Evans and Honkapohja, 2001). In particular, the Taylor principle ceases to be necessary and also mildly passive policy responses to inflation lead to determinacy and E-stability. Our results appear to be more prominent in economies characterized by a lower elasticity of substitution across differentiated products and/or more rigid labor markets.

Prices, Holdings, and Learning in Financial Markets

Prices, Holdings, and Learning in Financial Markets

Author: Debrah C. Meloso

Publisher:

Published: 2007

Total Pages: 178

ISBN-13:

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Book Synopsis Prices, Holdings, and Learning in Financial Markets by : Debrah C. Meloso

Download or read book Prices, Holdings, and Learning in Financial Markets written by Debrah C. Meloso and published by . This book was released on 2007 with total page 178 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Information and Learning in Markets

Information and Learning in Markets

Author: Xavier Vives

Publisher: Princeton University Press

Published: 2010-01-25

Total Pages: 422

ISBN-13: 140082950X

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The ways financial analysts, traders, and other specialists use information and learn from each other are of fundamental importance to understanding how markets work and prices are set. This graduate-level textbook analyzes how markets aggregate information and examines the impacts of specific market arrangements--or microstructure--on the aggregation process and overall performance of financial markets. Xavier Vives bridges the gap between the two primary views of markets--informational efficiency and herding--and uses a coherent game-theoretic framework to bring together the latest results from the rational expectations and herding literatures. Vives emphasizes the consequences of market interaction and social learning for informational and economic efficiency. He looks closely at information aggregation mechanisms, progressing from simple to complex environments: from static to dynamic models; from competitive to strategic agents; and from simple market strategies such as noncontingent orders or quantities to complex ones like price contingent orders or demand schedules. Vives finds that contending theories like informational efficiency and herding build on the same principles of Bayesian decision making and that "irrational" agents are not needed to explain herding behavior, booms, and crashes. As this book shows, the microstructure of a market is the crucial factor in the informational efficiency of prices. Provides the most complete analysis of the ways markets aggregate information Bridges the gap between the rational expectations and herding literatures Includes exercises with solutions Serves both as a graduate textbook and a resource for researchers, including financial analysts


Book Synopsis Information and Learning in Markets by : Xavier Vives

Download or read book Information and Learning in Markets written by Xavier Vives and published by Princeton University Press. This book was released on 2010-01-25 with total page 422 pages. Available in PDF, EPUB and Kindle. Book excerpt: The ways financial analysts, traders, and other specialists use information and learn from each other are of fundamental importance to understanding how markets work and prices are set. This graduate-level textbook analyzes how markets aggregate information and examines the impacts of specific market arrangements--or microstructure--on the aggregation process and overall performance of financial markets. Xavier Vives bridges the gap between the two primary views of markets--informational efficiency and herding--and uses a coherent game-theoretic framework to bring together the latest results from the rational expectations and herding literatures. Vives emphasizes the consequences of market interaction and social learning for informational and economic efficiency. He looks closely at information aggregation mechanisms, progressing from simple to complex environments: from static to dynamic models; from competitive to strategic agents; and from simple market strategies such as noncontingent orders or quantities to complex ones like price contingent orders or demand schedules. Vives finds that contending theories like informational efficiency and herding build on the same principles of Bayesian decision making and that "irrational" agents are not needed to explain herding behavior, booms, and crashes. As this book shows, the microstructure of a market is the crucial factor in the informational efficiency of prices. Provides the most complete analysis of the ways markets aggregate information Bridges the gap between the rational expectations and herding literatures Includes exercises with solutions Serves both as a graduate textbook and a resource for researchers, including financial analysts

Empirical Asset Pricing

Empirical Asset Pricing

Author: Wayne Ferson

Publisher: MIT Press

Published: 2019-03-12

Total Pages: 497

ISBN-13: 0262039370

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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.


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.

Learning from Prices

Learning from Prices

Author:

Publisher:

Published: 2017

Total Pages: 44

ISBN-13: 9789289927758

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We provide a new theory of expectations-driven business cycles in which consumers' learning from prices dramatically alters the effects of aggregate shocks. Learning from prices causes changes in aggregate productivity to shift aggregate beliefs, generating positive price-quantity comovement. The feedback of beliefs into prices can be so strong that even arbitrarily small productivity shocks lead to substantial fluctuations. Augmented with a public signal, the model can generate a rich mix of supply- and demand-driven fluctuations even though productivity is the only source of aggregate randomness. Our results imply that many standard identification assumptions used to disentangle supply and demand shocks may not be valid in environments in which agents learn from prices.


Book Synopsis Learning from Prices by :

Download or read book Learning from Prices written by and published by . This book was released on 2017 with total page 44 pages. Available in PDF, EPUB and Kindle. Book excerpt: We provide a new theory of expectations-driven business cycles in which consumers' learning from prices dramatically alters the effects of aggregate shocks. Learning from prices causes changes in aggregate productivity to shift aggregate beliefs, generating positive price-quantity comovement. The feedback of beliefs into prices can be so strong that even arbitrarily small productivity shocks lead to substantial fluctuations. Augmented with a public signal, the model can generate a rich mix of supply- and demand-driven fluctuations even though productivity is the only source of aggregate randomness. Our results imply that many standard identification assumptions used to disentangle supply and demand shocks may not be valid in environments in which agents learn from prices.

Learning from Prices and the Dispersion in Beliefs

Learning from Prices and the Dispersion in Beliefs

Author: Snehal Banerjee

Publisher:

Published: 2010

Total Pages: 48

ISBN-13:

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I develop a dynamic model that nests the rational expectations (RE) and differences of opinion (DO) approaches to study how investors use prices to update their valuations. I show that when investors condition on prices (RE), investor disagreement is related positively to expected returns, return volatility and market beta, but negatively to return autocorrelation. When investors do not use prices (DO), these relationships are reversed. I test these predictions on the cross-section of stocks using analyst forecast dispersion and volume as proxies for disagreement, and find empirical evidence that is consistent with investors using prices on average.


Book Synopsis Learning from Prices and the Dispersion in Beliefs by : Snehal Banerjee

Download or read book Learning from Prices and the Dispersion in Beliefs written by Snehal Banerjee and published by . This book was released on 2010 with total page 48 pages. Available in PDF, EPUB and Kindle. Book excerpt: I develop a dynamic model that nests the rational expectations (RE) and differences of opinion (DO) approaches to study how investors use prices to update their valuations. I show that when investors condition on prices (RE), investor disagreement is related positively to expected returns, return volatility and market beta, but negatively to return autocorrelation. When investors do not use prices (DO), these relationships are reversed. I test these predictions on the cross-section of stocks using analyst forecast dispersion and volume as proxies for disagreement, and find empirical evidence that is consistent with investors using prices on average.