Statistics of Financial Markets, Franke

Автор: Franke
Название: Statistics of Financial Markets
ISBN: 3540762698 ISBN-13(EAN): 9783540762690
Издательство: Springer
Цена: 60510 T
Наличие на складе: Невозможна поставка.
Описание: Presents the necessary statistical and mathematical background for Financial Engineers and introduces the main ideas in mathematical finance and financial statistics. This work covers topics such as: option valuation, financial time series analysis, value-at-risk, copulas, and statistics of the extremes.

Автор: Campbell, John W.
Название: The econometrics of financial markets
ISBN: 0691043019 ISBN-13(EAN): 9780691043012
Издательство: Wiley
Рейтинг:
Цена: 73920.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Covers the spectrum of empirical finance, including the predictability of asset returns, tests of the Random Walk Hypothesis, the microstructure of securities markets, event analysis, the Capital Asset Pricing Model and the Arbitrage Pricing Theory, and the term structure of interest rates, dynamic models of economic equilibrium.

Автор: Capi?ski
Название: Discrete Models of Financial Markets
ISBN: 0521175720 ISBN-13(EAN): 9780521175722
Издательство: Cambridge Academ
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Цена: 40130.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book explains in simple settings the fundamental ideas of financial market modelling and derivative pricing, using the no-arbitrage principle. All proofs are written in a user-friendly, step-by-step manner and following a natural flow of thought. In this way the student learns how to tackle new problems.

Автор: Baum
Название: An Introduction to Modern Econometrics Using Stata
ISBN: 1597180130 ISBN-13(EAN): 9781597180139
Издательство: Taylor&Francis
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Цена: 88800.00 T
Наличие на складе: Невозможна поставка.
Описание:

Integrating a contemporary approach to econometrics with the powerful computational tools offered by Stata, An Introduction to Modern Econometrics Using Stata focuses on the role of method-of-moments estimators, hypothesis testing, and specification analysis and provides practical examples that show how the theories are applied to real data sets using Stata.

As an expert in Stata, the author successfully guides readers from the basic elements of Stata to the core econometric topics. He first describes the fundamental components needed to effectively use Stata. The book then covers the multiple linear regression model, linear and nonlinear Wald tests, constrained least-squares estimation, Lagrange multiplier tests, and hypothesis testing of nonnested models. Subsequent chapters center on the consequences of failures of the linear regression model's assumptions. The book also examines indicator variables, interaction effects, weak instruments, underidentification, and generalized method-of-moments estimation. The final chapters introduce panel-data analysis and discrete- and limited-dependent variables and the two appendices discuss how to import data into Stata and Stata programming.

Presenting many of the econometric theories used in modern empirical research, this introduction illustrates how to apply these concepts using Stata. The book serves both as a supplementary text for undergraduate and graduate students and as a clear guide for economists and financial analysts.