Financial Econometrics, Mathematics and Statistics - Cheng-Few Lee, Hong-Yi Chen, John Lee

Financial Econometrics, Mathematics and Statistics

Theory, Method and Application
Buch | Hardcover
655 Seiten
2019 | 1st ed. 2019
Springer-Verlag New York Inc.
978-1-4939-9427-4 (ISBN)
192,59 inkl. MwSt
This rigorous textbook introduces graduate students to the principles of econometrics and statistics with a focus on methods and applications in financial research. Financial Econometrics, Mathematics, and Statistics introduces tools and methods important for both finance and accounting that assist with asset pricing, corporate finance, options and futures, and conducting financial accounting research. 



Divided into four parts, the text begins with topics related to regression and financial econometrics. Subsequent sections describe time-series analyses; the role of binomial, multi-nomial, and log normal distributions in option pricing models; and the application of statistics analyses to risk management. The real-world applications and problems offer students a unique insight into such topics as heteroskedasticity, regression, simultaneous equation models, panel data analysis, time series analysis, and generalized method of moments. 



Written by leading academics in the quantitative finance field, allows readers to implement the principles behind financial econometrics and statistics through real-world applications and problem sets.  This textbook will appeal to a less-served market of upper-undergraduate and graduate students in finance, economics, and statistics.  ​

Cheng-Few Lee is a Distinguished Professor of Finance at Rutgers Business School, where he once served as  chairperson of the Department. He has maintained academic and consulting ties in Taiwan, Hong Kong, China and the United States for the past three decades and  has been a consultant to many prominent groups including the American Insurance Group, the World Bank, and the United Nations.  Lee founded the Review of Quantitative Finance and Accounting in 1990 and the Review of Pacific Basin Financial Markets and Policies in 1998, and continues to serve as managing editor for both journals. He was also a co-editor of the Financial Review (1985–1991) and the Quarterly Review of Economics and Business (1987–1989).  Having published more than 200 articles in more than twenty different journals in finance, accounting, economics, statistics, and management,  Lee has been ranked the most published finance professor worldwide during 1953–2008.    Hong-Yi Chen is Assistant Professor at the NCCU College of Commerce. His research expertise is in investments, asset pricing, and corporate finance. He has co-authored several papers in journals such as  Springer's Review of Quantitative Finance and Accounting, as well as Elsevier's Journal of Corporate Finance. John C. Lee is Director of the Center for PBBEF Research. A Microsoft Certified Professional in Microsoft Visual Basic and Microsoft Excel VBA, he has a Bachelors and Masters degree in accounting from the University of Illinois at Urbana-Champaign. Lee  has worked over 20 years in both the business and technical fields as an accountant, auditor, systems analyst, as well as a business software developer. Formerly, the Senior Technology Officer at the Chase Manhattan Bank and Assistant Vice President at Merrill Lynch, he is also the author of the book on how to use MINITAB and Microsoft Excel to do statistical analysis. In addition, he also published Financial Analysis, Planning and Forecasting with Cheng-Few Lee and Alice Lee. 

Introduction to Financial Econometrics and Statistics.- Part A: Regression and Financial Econometrics.- Multiple Linear Regression.-  Other Topics in Applied Regression Analysis.-Simultaneous Equation Models.-Econometric Approach to Financial Analysis, Planning, and Forecasting.- Fixed Effect vs Random Effect in Finance Research.- Alternative Methods to Deal with Measurement Error.-Three Alternative Errors-in-Variables Estimation Methods in Testing Capital Asset Pricing Model.- Spurious Regression and Data Mining in Conditional Asset Pricing Models.-Time-Series Analysis and Its Applications.-Time-Series: Analysis, Model, and Forecasting.-Hedge Ratio and Time-Series Analysis.- The Binomial, Multi-Nominal Distributions and Option Pricing Model.- Two Alternative Binomial Option Pricing Model Approaches to Derive Black-Scholes Option Pricing Model.-Normal, Lognormal Distribution, and Option Pricing Model.-Copula, Correlated Defaults, and Credit VaR.-Multivariate Analysis: Discriminant Analysis and Factor Analysis.-Stochastic Volatility Option Pricing Models.- Alternative Method to Estimate Implied Variance: Review and Comparison.- Numerical Valuation of Asian Options with Higher Moments in the Underlying Distribution.-Itô’s Calculus: Derivation of the Black-Scholes Option Pricing Model.-Alternative Methods to Derive Option Pricing Models.-Constant Elasticity of Variance Option Pricing Model: Integration and Detailed Derivation.- Option Pricing and Hedging Performance under Stochastic Volatility and Stochastic Interest Rates.-Non-Parametric Method for European Option Bounds.

Erscheinungsdatum
Zusatzinfo 57 Illustrations, color; 72 Illustrations, black and white; XX, 655 p. 129 illus., 57 illus. in color.
Verlagsort New York
Sprache englisch
Maße 178 x 254 mm
Themenwelt Mathematik / Informatik Mathematik Statistik
Mathematik / Informatik Mathematik Wahrscheinlichkeit / Kombinatorik
Wirtschaft Allgemeines / Lexika
Wirtschaft Betriebswirtschaft / Management Finanzierung
Wirtschaft Volkswirtschaftslehre Ökonometrie
Schlagworte ARCH method • Asset Allocation • autoregressive forecasting model • Capital Asset Pricing Model • credit risk • dummy variables • error component model • Financial Econometrics and Statistics Textbook • Heteroscedasticity • Holt-Winters forecasting model • LISREAL method • maximum likelihood method • Monte Carlo simulations • multiple regression • Option Pricing Model • Panel Data Analysis • Simultaneous Equation Models • Single Equation Regression Methods • statistical distributions • Time Series Analysis
ISBN-10 1-4939-9427-1 / 1493994271
ISBN-13 978-1-4939-9427-4 / 9781493994274
Zustand Neuware
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