Information Processing and Non-Bayesian Learning in Financial Markets

Information Processing and Non-Bayesian Learning in Financial Markets PDF Author: Stefanie Schraeder
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Languages : en
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Information Processing and Non-Bayesian Learning in Financial Markets

Information Processing and Non-Bayesian Learning in Financial Markets PDF Author: Stefanie Schraeder
Publisher:
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Languages : en
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Information and Learning in Markets

Information and Learning in Markets PDF Author: Xavier Vives
Publisher: Princeton University Press
ISBN: 140082950X
Category : Business & Economics
Languages : en
Pages : 422

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Book Description
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

Neural Networks and the Financial Markets

Neural Networks and the Financial Markets PDF Author: Jimmy Shadbolt
Publisher: Springer Science & Business Media
ISBN: 1447101510
Category : Computers
Languages : en
Pages : 266

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Book Description
This volume looks at financial prediction from a broad range of perspectives. It covers: - the economic arguments - the practicalities of the markets - how predictions are used - how predictions are made - how predictions are turned into something usable (asset locations) It combines a discussion of standard theory with state-of-the-art material on a wide range of information processing techniques as applied to cutting-edge financial problems. All the techniques are demonstrated with real examples using actual market data, and show that it is possible to extract information from very noisy, sparse data sets. Aimed primarily at researchers in financial prediction, time series analysis and information processing, this book will also be of interest to quantitative fund managers and other professionals involved in financial prediction.

Essays on Learning and Information-processing in Financial Markets

Essays on Learning and Information-processing in Financial Markets PDF Author: Simona Risteska
Publisher:
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Category :
Languages : en
Pages :

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Rumors in Financial Markets

Rumors in Financial Markets PDF Author: Mark Schindler
Publisher: John Wiley & Sons
ISBN: 9780470510339
Category : Business & Economics
Languages : en
Pages : 210

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Book Description
On the trading floor, all action is based on news, therefore rumors in financial markets are an everyday phenomenon. Rumors are the oldest mass medium in the world and their nature is still difficult to grasp. Scientifically, not much is known about rumors, especially in the financial markets, where their consequences can have real money consequences. Rumors in Financial Markets provides a fresh insight to the topic, combining the theory of Behavioral Finance with that of Experimental Finance--a new and innovative scientific method which observes real decision makers in a controlled, clearly structured environment. Using the results from surveys and experiments, the author argues that rumors in the context of financial markets are built on three cornerstones: Finance, Psychology and Sociology. The book provides insights into how rumors evolve, spread and are traded on and provides explanations as to why volatility rockets, strong price movements, herding behavior for example, occur for apparently no good reason.

Macroeconomic News Effects in Commodity Futures and German Stock and Bond Futures Markets

Macroeconomic News Effects in Commodity Futures and German Stock and Bond Futures Markets PDF Author: He Huang
Publisher: BoD – Books on Demand
ISBN: 3899368924
Category : Business & Economics
Languages : en
Pages : 222

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Book Description
A well-known concept in modern capital market theory is that only systematic risk factors affect security prices. Macroeconomic announcements are among the most important news for financial markets because the state of the economy is a prime candidate for such a source of non-diversifiable risk. This book investigates the effects of US macroeconomic news on three financial markets that have received less attention in the literature so far. The markets of interest are the commodity futures market, the German stock index futures market, and the German bond futures market. I investigate not only price effects, but also liquidity effects as well as the channels of cross-border information flow. I find that commodity markets as well as international stock and bond markets are likewise affected by the release of US macroeconomic news. The strength of the commodity price response depends on the state of the economy and news about the US economy is more important for German stock markets than domestic economic news. For an investor in any of these markets, this book provides valuable information on how to adjust his trading strategies around the release of macroeconomic news. Moreover, my findings contribute to the understanding of cross-border information flow. First, I find that both domestic and foreign economic news induce significant price and liquidity effects. Second, I find that there are two important channels of information transmission for foreign news: the direct response to the news and the indirect response to the foreign response to the news.

Empirical Asset Pricing

Empirical Asset Pricing PDF 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.

Deficient Information Processing in Financial Markets

Deficient Information Processing in Financial Markets PDF Author: Max Hofer
Publisher:
ISBN:
Category :
Languages : en
Pages :

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Handbook of Financial Markets: Dynamics and Evolution

Handbook of Financial Markets: Dynamics and Evolution PDF Author: Thorsten Hens
Publisher: Elsevier
ISBN: 0080921434
Category : Business & Economics
Languages : en
Pages : 607

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Book Description
The models of portfolio selection and asset price dynamics in this volume seek to explain the market dynamics of asset prices. Presenting a range of analytical, empirical, and numerical techniques as well as several different modeling approaches, the authors depict the state of debate on the market selection hypothesis. By explicitly assuming the heterogeneity of investors, they present models that are descriptive and normative as well, making the volume useful for both finance theorists and financial practitioners. Explains the market dynamics of asset prices, offering insights about asset management approaches Assumes a heterogeneity of investors that yields descriptive and normative models of portfolio selections and asset pricing dynamics

An Introduction to Financial Markets

An Introduction to Financial Markets PDF Author: Paolo Brandimarte
Publisher: John Wiley & Sons
ISBN: 1118594770
Category : Mathematics
Languages : en
Pages : 784

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Book Description
COVERS THE FUNDAMENTAL TOPICS IN MATHEMATICS, STATISTICS, AND FINANCIAL MANAGEMENT THAT ARE REQUIRED FOR A THOROUGH STUDY OF FINANCIAL MARKETS This comprehensive yet accessible book introduces students to financial markets and delves into more advanced material at a steady pace while providing motivating examples, poignant remarks, counterexamples, ideological clashes, and intuitive traps throughout. Tempered by real-life cases and actual market structures, An Introduction to Financial Markets: A Quantitative Approach accentuates theory through quantitative modeling whenever and wherever necessary. It focuses on the lessons learned from timely subject matter such as the impact of the recent subprime mortgage storm, the collapse of LTCM, and the harsh criticism on risk management and innovative finance. The book also provides the necessary foundations in stochastic calculus and optimization, alongside financial modeling concepts that are illustrated with relevant and hands-on examples. An Introduction to Financial Markets: A Quantitative Approach starts with a complete overview of the subject matter. It then moves on to sections covering fixed income assets, equity portfolios, derivatives, and advanced optimization models. This book’s balanced and broad view of the state-of-the-art in financial decision-making helps provide readers with all the background and modeling tools needed to make “honest money” and, in the process, to become a sound professional. Stresses that gut feelings are not always sufficient and that “critical thinking” and real world applications are appropriate when dealing with complex social systems involving multiple players with conflicting incentives Features a related website that contains a solution manual for end-of-chapter problems Written in a modular style for tailored classroom use Bridges a gap for business and engineering students who are familiar with the problems involved, but are less familiar with the methodologies needed to make smart decisions An Introduction to Financial Markets: A Quantitative Approach offers a balance between the need to illustrate mathematics in action and the need to understand the real life context. It is an ideal text for a first course in financial markets or investments for business, economic, statistics, engineering, decision science, and management science students.