Essays on Banking, Asset Pricing, and Learning PDF Download

Author: Martin Schneider (Professor of economics)
Publisher:
ISBN:
Category :
Languages : en
Pages : 334

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Author: Wayne Ferson
Publisher: MIT Press
ISBN: 0262039370
Category : Business & Economics
Languages : en
Pages : 497

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Book Description
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.

Author: Samuel P. Fraiberger
Publisher: International Monetary Fund
ISBN: 1484389212
Category : Business & Economics
Languages : en
Pages : 33

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Book Description
We assess the impact of media sentiment on international equity prices using more than 4.5 million Reuters articles published across the globe between 1991 and 2015. News sentiment robustly predicts daily returns in both advanced and emerging markets, even after controlling for known determinants of stock prices. But not all news-sentiment is alike. A local (country-specific) increase in news optimism (pessimism) predicts a small and transitory increase (decrease) in local returns. By contrast, changes in global news sentiment have a larger impact on equity returns around the world, which does not reverse in the short run. We also find evidence that news sentiment affects mainly foreign – rather than local – investors: although local news optimism attracts international equity flows for a few days, global news optimism generates a permanent foreign equity inflow. Our results confirm the value of media content in capturing investor sentiment.

Author: Stefan Nagel
Publisher: Princeton University Press
ISBN: 0691218706
Category : Business & Economics
Languages : en
Pages : 156

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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.

Author: Christian Funke
Publisher: Springer Science & Business Media
ISBN: 3834998141
Category : Business & Economics
Languages : en
Pages : 123

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Book Description
Christian Funke aims at developing a better understanding of a central asset pricing issue: the stock price discovery process in capital markets. Using U.S. capital market data, he investigates the importance of mergers and acquisitions (M&A) for stock prices and examines economic links between customer and supplier firms. The empirical investigations document return predictability and show that capital markets are not perfectly efficient.

Author: John Y. Campbell
Publisher: University of Chicago Press
ISBN: 0226092127
Category : Business & Economics
Languages : en
Pages : 444

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Book Description
Economic growth, low inflation, and financial stability are among the most important goals of policy makers, and central banks such as the Federal Reserve are key institutions for achieving these goals. In Asset Prices and Monetary Policy, leading scholars and practitioners probe the interaction of central banks, asset markets, and the general economy to forge a new understanding of the challenges facing policy makers as they manage an increasingly complex economic system. The contributors examine how central bankers determine their policy prescriptions with reference to the fluctuating housing market, the balance of debt and credit, changing beliefs of investors, the level of commodity prices, and other factors. At a time when the public has never been more involved in stocks, retirement funds, and real estate investment, this insightful book will be useful to all those concerned with the current state of the economy.

Author: George Gaetano Pennacchi
Publisher: Addison-Wesley Longman
ISBN: 9780321127204
Category : Capital assets pricing model
Languages : en
Pages : 0

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Book Description
Theory of Asset Pricing unifies the central tenets and techniques of asset valuation into a single, comprehensive resource that is ideal for the first PhD course in asset pricing. By striking a balance between fundamental theories and cutting-edge research, Pennacchi offers the reader a well-rounded introduction to modern asset pricing theory that does not require a high level of mathematical complexity.

Author: Yakov Amihud
Publisher: Cambridge University Press
ISBN: 0521191769
Category : Business & Economics
Languages : en
Pages : 293

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Book Description
This book explores the effect of liquidity on asset prices, liquidity variations over time and how liquidity risk affects prices.

Author: Douglas D. Evanoff
Publisher: OUP USA
ISBN: 0199844402
Category : Business & Economics
Languages : en
Pages : 482

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Book Description
This volume critically re-examines the profession's understanding of asset bubbles in light of the global financial crisis of 2007-09. It is well known that bubbles have occurred in the past, with the October 1929 crash as the most demonstrative example. However, the remarkably well-behaved performance of the US economy from 1945 to 2006, and, in particular during the Great Moderation period of 1984 to 2006, assured the economics profession and monetary policymakers that asset bubbles could be effectively managed with little or no real economic impact. The recent financial crisis has now triggered a debate about the emergence of a sequence of repeated bubbles in the Nasdaq market, housing market, credit market, and commodity markets. The realities of the crisis have intensified theoretical modeling, empirical methodologies, and debate on policy issues surrounding asset price bubbles and their potentially adverse economic impact if poorly managed. Taking a novel approach, the editors of this book present five classic papers that represent accepted thinking about asset bubbles prior to the financial crisis. They also include original papers challenging orthodox thinking and presenting new insights. A summary essay highlights the lessons learned and experiences gained since the crisis.

Author: Shouyang Wang
Publisher: Springer Science & Business Media
ISBN: 3642559344
Category : Business & Economics
Languages : en
Pages : 260

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Book Description
In our daily life, almost every family owns a portfolio of assets. This portfolio could contain real assets such as a car, or a house, as well as financial assets such as stocks, bonds or futures. Portfolio theory deals with how to form a satisfied portfolio among an enormous number of assets. Originally proposed by H. Markowtiz in 1952, the mean-variance methodology for portfolio optimization has been central to the research activities in this area and has served as a basis for the development of modem financial theory during the past four decades. Follow-on work with this approach has born much fruit for this field of study. Among all those research fruits, the most important is the capital asset pricing model (CAPM) proposed by Sharpe in 1964. This model greatly simplifies the input for portfolio selection and makes the mean-variance methodology into a practical application. Consequently, lots of models were proposed to price the capital assets. In this book, some of the most important progresses in portfolio theory are surveyed and a few new models for portfolio selection are presented. Models for asset pricing are illustrated and the empirical tests of CAPM for China's stock markets are made. The first chapter surveys ideas and principles of modeling the investment decision process of economic agents. It starts with the Markowitz criteria of formulating return and risk as mean and variance and then looks into other related criteria which are based on probability assumptions on future prices of securities.