Author: Joao GomesPublisher:
ISBN:
Category :
Languages : en
Pages : 56
Book Description
Asset Pricing Implications of Firms' Financial Constraints
Author: Joao GomesAsset Pricing Implications of Firms' Financing Constraints
Author: Joao F. GomesPublisher:
ISBN:
Category : Capital assets pricing model
Languages : en
Pages : 52
Book Description
We incorporate costly external finance in an investment-based asset pricing model and investigate whether financing frictions are quantitatively important for pricing a cross-section of expected returns. We show that common assumptions about the nature of the financing frictions are captured by a simple financing cost' function, equal to the product of the financing premium and the amount of external finance. This approach provides a tractable framework for empirical analysis. Using GMM, we estimate a pricing kernel that incorporates the effects of financing constraints on investment behavior. The key ingredients in this pricing kernel depend not only on fundamentals', such as profits and investment, but also on the financing variables, such as default premium and the amount of external financing. Our findings, however, suggest that the role played by financing frictions is fairly negligible, unless the premium on external funds is procyclical, a property not evident in the data and not satisfied by most models of costly external finance.
Asset Pricing Implications of Firms' Financing Constraints
Author: Joao F. GomesPublisher:
ISBN:
Category :
Languages : en
Pages : 58
Book Description
We use a production-based asset pricing model to investigate whether financing constraints are quantitatively important for the cross-section of returns. Specifically, we use GMM to explore the stochastic Euler equation imposed on returns by optimal investment. Our methods can identify the impact of financial frictions on the stochastic discount factor with cyclical variations in cost of external funds. We find that financing frictions provide a common factor that improves the pricing of cross-sectional returns. Moreover, the shadow cost of external funds exhibits strong procyclical variation, so that financial frictions are more important in relatively good economic conditions. (JEL E22, E44, G12).
Asset Pricing Implications of Firms' Financing Constraints
Author: Costly External Equity
Author: Dongmei LiPublisher:
ISBN:
Category : Corporations
Languages : en
Pages : 41
Book Description
We document that the value, net stock issues, investment, and asset growth anomalies tend to be stronger in financially more constrained firms than in less constrained firms. This effect of financial constraints is distinct from that of financial distress on anomalies. Intuitively, costly external finance makes marginal costs of investment more sensitive to investment in more constrained firms, giving rise to a stronger negative correlation between investment and the discount rate.
Financial Constraints and Stock Returns
Author: Owen A. LamontPublisher:
ISBN:
Category : Corporations
Languages : en
Pages : 68
Book Description
We test whether the impact of financial constraints on firm value is observable in asset" returns. We form portfolios of firms based on observable characteristics related to financial" constraints, and test for common covariation in the stock returns of these firms. Using several" different measures of financial constraints, we find that financially constrained firms' stock" returns move together over time. This financial constraint factor in stock returns is related to not well explained by, other empirically identified factors in asset returns. Constrained firms" have remarkably low returns in our sample period of 1968-1995, both unconditionally and in the" context of empirical asset pricing models. Financial constraint returns help explain returns" following initial public offerings and dividend omissions. We find only limited support for the" hypothesis that the relative performance of financially constrained firms reflects monetary" policy, credit conditions, and business cycles
Essays on Corporate Finance, Monetary Policy and Asset Pricing on London Stock Exchange
Author: Nikolaos BalafasFinancial Constraints and Stock Returns
Author: Owen A. LamontPublisher:
ISBN:
Category :
Languages : en
Pages : 52
Book Description
We test whether the impact of financial constraints on firm value is observable in assetquot; returns. We form portfolios of firms based on observable characteristics related to financialquot; constraints, and test for common covariation in the stock returns of these firms. Using severalquot; different measures of financial constraints, we find that financially constrained firms' stockquot; returns move together over time. This financial constraint factor in stock returns is related to not well explained by, other empirically identified factors in asset returns. Constrained firmsquot; have remarkably low returns in our sample period of 1968-1995, both unconditionally and in thequot; context of empirical asset pricing models. Financial constraint returns help explain returnsquot; following initial public offerings and dividend omissions. We find only limited support for thequot; hypothesis that the relative performance of financially constrained firms reflects monetaryquot; policy, credit conditions, and business cycles.
Machine Learning in Asset Pricing
Author: Stefan NagelPublisher: Princeton University Press
ISBN: 0691218706
Category : Business & Economics
Languages : en
Pages : 156
Book Description
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.
Financial Decisions and Markets
Author: John Y. CampbellPublisher: Princeton University Press
ISBN: 1400888220
Category : Business & Economics
Languages : en
Pages : 480
Book Description
From the field's leading authority, the most authoritative and comprehensive advanced-level textbook on asset pricing In Financial Decisions and Markets, John Campbell, one of the field’s most respected authorities, provides a broad graduate-level overview of asset pricing. He introduces students to leading theories of portfolio choice, their implications for asset prices, and empirical patterns of risk and return in financial markets. Campbell emphasizes the interplay of theory and evidence, as theorists respond to empirical puzzles by developing models with new testable implications. The book shows how models make predictions not only about asset prices but also about investors’ financial positions, and how they often draw on insights from behavioral economics. After a careful introduction to single-period models, Campbell develops multiperiod models with time-varying discount rates, reviews the leading approaches to consumption-based asset pricing, and integrates the study of equities and fixed-income securities. He discusses models with heterogeneous agents who use financial markets to share their risks, but also may speculate against one another on the basis of different beliefs or private information. Campbell takes a broad view of the field, linking asset pricing to related areas, including financial econometrics, household finance, and macroeconomics. The textbook works in discrete time throughout, and does not require stochastic calculus. Problems are provided at the end of each chapter to challenge students to develop their understanding of the main issues in financial economics. The most comprehensive and balanced textbook on asset pricing available, Financial Decisions and Markets is an essential resource for all graduate students and practitioners in finance and related fields. Integrated treatment of asset pricing theory and empirical evidence Emphasis on investors’ decisions Broad view linking the field to financial econometrics, household finance, and macroeconomics Topics treated in discrete time, with no requirement for stochastic calculus Forthcoming solutions manual for problems available to professors