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The Encyclopedia of Finance is a major new reference work covering all aspects of finance. Coverage includes finance (financial management, security analysis, portfolio management, financial markets and instruments, insurance, real estate, options and futures, international finance) and statistical applications in finance (applications in portfolio analysis, option pricing models and financial research). The project is designed to attract both an academic and professional market. It will also have international approach to ensure its maximum appeal. The Editors'' wish is that the readers will find the encyclopedia to be an invaluable resource.
Professor Cheng-Few Lee is a Distinguished Professor of Finance at Rutgers Business School and was chairperson of the Department of Finance from 1988-1995. He has maintained academic and consulting ties in Taiwan, Hong Kong, China and the United States for the past three decades. In the winter 2005 issue of the Journal of Finance Literature, Professor Lee was ranked as the most published finance professor worldwide during 1953-2002.
Professor Alice C. Lee is an Assistant Professor of Finance at San Francisco State University. She has a diverse background, which includes engineering, sales, and managment consulting. Her primary areas of teaching and research are corporate finance and financial institutions.
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Quantitative finance is a combination of economics, accounting, statistics, econometrics, mathematics, stochastic process, and computer science and technology. Increasingly, the tools of financial analysis are being applied to assess, monitor, and mitigate risk, especially in the context of globalization, market volatility, and economic crisis. This two-volume handbook, comprised of over 100 chapters, is the most comprehensive resource in the field to date, integrating the most current theory, methodology, policy, and practical applications. Showcasing contributions from an international array of experts, the Handbook of Quantitative Finance and Risk Management is unparalleled in the breadth and depth of its coverage. Volume 1 presents an overview of quantitative finance and risk management research, covering the essential theories, policies, and empirical methodologies used in the field. Chapters provide in-depth discussion of portfolio theory and investment analysis. Volume 2 covers options and option pricing theory and risk management. Volume 3 presents a wide variety of models and analytical tools. Throughout, the handbook offers illustrative case examples, worked equations, and extensive references; additional features include chapter abstracts, keywords, and author and subject indices. From "arbitrage" to "yield spreads," the Handbook of Quantitative Finance and Risk Management will serve as an essential resource for academics, educators, students, policymakers, and practitioners.
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This fifth volume in the series covers a variety of topics in the field of advances in investment and portfolio management.
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Statistics for Business and Financial Economics, 3rd edition is the definitive Business Statistics book to use Finance, Economics, and Accounting data throughout the entire book. Therefore, this book gives students an understanding of how to apply the methodology of statistics to real world situations. In particular, this book shows how descriptive statistics, probability, statistical distributions, statistical inference, regression methods, and statistical decision theory can be used to analyze individual stock price, stock index, stock rate of return, market rate of return, and decision making. In addition, this book also shows how time-series analysis and the statistical decision theory method can be used to analyze accounting and financial data. In this fully-revised edition, the real world examples have been reconfigured and sections have been edited for better understanding of the topics.
On the Springer page for the book, the solution manual, test bank and powerpoints are available for download.
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