The Interaction of Skewness and Analysts' Forecast Dispersion in Asset Pricing PDF Download
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Author: Christian L. Goulding
Publisher:
ISBN:
Category :
Languages : en
Pages : 57
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Book Description
I develop a new asset pricing theory that bridges two seemingly unrelated pricing effects from separate literatures: (1) the negative relationship between ex-ante return skewness and expected returns and (2) the negative relationship between dispersion in financial analysts' earnings forecasts and expected returns. I show that both effects arise intrinsically from market clearing of stochastic demand in a standard noisy rational expectations economy that incorporates skewed assets followed by financial analysts. Positive correlation between forecast dispersion and investor heterogeneity arises endogenously. The theory generates several novel testable predictions regarding the interaction of ex-ante skewness and forecast dispersion on asset prices.
Author: Christian L. Goulding
Publisher:
ISBN:
Category :
Languages : en
Pages : 57
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Book Description
I develop a new asset pricing theory that bridges two seemingly unrelated pricing effects from separate literatures: (1) the negative relationship between ex-ante return skewness and expected returns and (2) the negative relationship between dispersion in financial analysts' earnings forecasts and expected returns. I show that both effects arise intrinsically from market clearing of stochastic demand in a standard noisy rational expectations economy that incorporates skewed assets followed by financial analysts. Positive correlation between forecast dispersion and investor heterogeneity arises endogenously. The theory generates several novel testable predictions regarding the interaction of ex-ante skewness and forecast dispersion on asset prices.
Author: Christian L. Goulding
Publisher:
ISBN:
Category :
Languages : en
Pages : 77
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Book Description
I test the predictions of a new asset pricing model regarding the interaction of ex-ante return skewness and the dispersion of analysts' earnings forecasts on a sample of U.S. stocks. I present evidence that skewness and forecast dispersion have an interactive pricing impact, that forecast dispersion has no marginal impact unless stocks exhibit ex-ante skewness, and that higher risk or risk aversion is associated with a deepening of their joint effect. The averagereturn gap between stocks in the 5th and 95th percentiles by skewness and dispersion is 1.61% monthly (19.3% annualized). These otherwise anomalous discoveries comprise new cross-sectional features of expected stock returns.
Author: Jinghan Meng
Publisher:
ISBN:
Category :
Languages : en
Pages : 50
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Book Description
We show that the degree of dispersion and asymmetry of analysts' earnings forecasts is related to future stock returns. When skewness is negative, future returns are decreasing in the degree of dispersion of analysts' earnings forecasts; when skewness is positive, future returns are increasing in the degree of dispersion of analysts earnings forecasts. We develop a model that incorporates dispersion and asymmetry in agents' beliefs that can account for these empirical facts.
Author: Tingting Liu
Publisher:
ISBN:
Category :
Languages : en
Pages : 45
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Book Description
We show that understanding the role of analysts' forecast bias is central to discovering the behavior that causes some stocks to have high analyst forecast dispersion. This finding is important because stocks with high analyst forecast dispersion contribute significantly to many important anomalies. We first explain how forecast bias produces significant negative future returns in the high dispersion portfolio. Next we examine the effect of these stocks on momentum returns, the profitability anomaly, and post-earnings announcement drift. Finally, we examine the performance of four asset pricing models focusing on the model's ability to explain the returns to these high dispersion stocks.
Author: Madhu Kalimipalli
Publisher:
ISBN:
Category :
Languages : en
Pages :
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Book Description
In this paper, we examine the relationship between analysts' forecast dispersion and future stock return volatility using monthly data for a cross section of 160 US firms from 1981 to 1996. We find that there is a strong and positive relationship between analysts' forecast dispersion and future return volatility. The dispersion measure has incremental information content even after accounting for market volatility. These results are robust across sub-sample periods and sub-samples based on based on number of analysts following a firm, forecast dispersion and market capitalization. There is also a strong seasonal relationship between the dispersion measure and future volatility. The importance of dispersion on future return volatility is high in January and the first few months of the year, and declines thereafter. Such information content of analysts' earnings forecast dispersion is of great importance for active portfolio management, option pricing and arbitrage trading strategies.
Author: Ying L. Becker
Publisher: CFA Institute Research Foundation
ISBN: 1944960457
Category : Business & Economics
Languages : en
Pages : 75
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Book Description
Quantitative equity management techniques are helping investors achieve more risk efficient and appropriate investment outcomes. Factor investing, vetted by decades of prior and current research, is growing quickly, particularly in in the form of smart-beta and ETF strategies. Dynamic factor-timing approaches, incorporating macroeconomic and investment conditions, are in the early stages but will likely thrive. A new generation of big data approaches are rendering quantitative equity analysis even more powerful and encompassing.
Author: Cheng Few Lee
Publisher: World Scientific
ISBN: 9811202400
Category : Business & Economics
Languages : en
Pages : 5053
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Book Description
This four-volume handbook covers important concepts and tools used in the fields of financial econometrics, mathematics, statistics, and machine learning. Econometric methods have been applied in asset pricing, corporate finance, international finance, options and futures, risk management, and in stress testing for financial institutions. This handbook discusses a variety of econometric methods, including single equation multiple regression, simultaneous equation regression, and panel data analysis, among others. It also covers statistical distributions, such as the binomial and log normal distributions, in light of their applications to portfolio theory and asset management in addition to their use in research regarding options and futures contracts.In both theory and methodology, we need to rely upon mathematics, which includes linear algebra, geometry, differential equations, Stochastic differential equation (Ito calculus), optimization, constrained optimization, and others. These forms of mathematics have been used to derive capital market line, security market line (capital asset pricing model), option pricing model, portfolio analysis, and others.In recent times, an increased importance has been given to computer technology in financial research. Different computer languages and programming techniques are important tools for empirical research in finance. Hence, simulation, machine learning, big data, and financial payments are explored in this handbook.Led by Distinguished Professor Cheng Few Lee from Rutgers University, this multi-volume work integrates theoretical, methodological, and practical issues based on his years of academic and industry experience.
Author: Yasuyuki Fuchita
Publisher: Brookings Institution Press
ISBN: 0815729820
Category : Business & Economics
Languages : en
Pages : 216
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Book Description
A Brookings Institution Press and Nomura Institute of Capital Markets Research publication Developed country capital markets have devised a set of institutions and actors to help provide investors with timely and accurate information they need to make informed investment decisions. These actors have become known as "financial gatekeepers" and include auditors, financial analysts, and credit rating agencies. Corporate financial reporting scandals in the United States and elsewhere in recent years, however, have called into question the sufficiency of the legal framework governing these gatekeepers. Policymakers have since responded by imposing a series of new obligations, restrictions, and punishments—all with the purpose of strengthening investor confidence in these important actors. Financial Gatekeepers provides an in-depth look at these new frameworks, especially in the United States and Japan. How have they worked? Are further refinements appropriate? These are among the questions addressed in this timely and important volume. Contributors include Leslie Boni (University of New Mexico), Barry Bosworth (Brookings Institution), Tomoo Inoue (Seikei University), Zoe-Vonna Palmrose (University of Southern California), Frank Partnoy (University of San Diego School of Law), George Perry (Brookings Institution), Justin Pettit (UBS), Paul Stevens (Investment Company Institute), Peter Wallison (American Enterprise Institute).
Author: Hersh Shefrin
Publisher: Elsevier
ISBN: 0080482244
Category : Business & Economics
Languages : en
Pages : 636
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Book Description
Behavioral finance is the study of how psychology affects financial decision making and financial markets. It is increasingly becoming the common way of understanding investor behavior and stock market activity. Incorporating the latest research and theory, Shefrin offers both a strong theory and efficient empirical tools that address derivatives, fixed income securities, mean-variance efficient portfolios, and the market portfolio. The book provides a series of examples to illustrate the theory. The second edition continues the tradition of the first edition by being the one and only book to focus completely on how behavioral finance principles affect asset pricing, now with its theory deepened and enriched by a plethora of research since the first edition
Author: Mr.Andreas A. Jobst
Publisher: International Monetary Fund
ISBN: 1475557531
Category : Business & Economics
Languages : en
Pages : 93
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Book Description
The recent global financial crisis has forced a re-examination of risk transmission in the financial sector and how it affects financial stability. Current macroprudential policy and surveillance (MPS) efforts are aimed establishing a regulatory framework that helps mitigate the risk from systemic linkages with a view towards enhancing the resilience of the financial sector. This paper presents a forward-looking framework ("Systemic CCA") to measure systemic solvency risk based on market-implied expected losses of financial institutions with practical applications for the financial sector risk management and the system-wide capital assessment in top-down stress testing. The suggested approach uses advanced contingent claims analysis (CCA) to generate aggregate estimates of the joint default risk of multiple institutions as a conditional tail expectation using multivariate extreme value theory (EVT). In addition, the framework also helps quantify the individual contributions to systemic risk and contingent liabilities of the financial sector during times of stress.
