Masanobu Taniguchi & Tomoyuki Amano 
Statistical Inference for Financial Engineering [PDF ebook] 

Supporto

​This monograph provides the fundamentals of statistical inference for financial engineering and covers some selected methods suitable for analyzing financial time series data. In order to describe the actual financial data, various stochastic processes, e.g. non-Gaussian linear processes, non-linear processes, long-memory processes, locally stationary processes etc. are introduced and their optimal estimation is considered as well. This book also includes several statistical approaches, e.g., discriminant analysis, the empirical likelihood method, control variate method, quantile regression, realized volatility etc., which have been recently developed and are considered to be powerful tools for analyzing the financial data, establishing a new bridge between time series and financial engineering.


This book is well suited as a professional reference book on finance, statistics and statistical financial engineering. Readers are expected to have an undergraduate-level knowledge of statistics.

€53.49
Modalità di pagamento

Tabella dei contenuti

​Preface.- Features of Financial Data.- Empirical Likelihood Approaches for Financial Returns.- Various Methods for Financial Engineering.- Some Techniques for ARCH Financial Time Series.- Index.

Circa l’autore

Dr. Masanobu Taniguchi is a professor at Waseda University. His work focuses on time series, general asymptotic theory and econometrics and he is a fellow of the Institute of Mathematical Statistics (USA).
Dr. Tomoyuki Amano received his Ph D from Waseda University, Japan and is now an associate professor at the Faculty of Economics, Wakayama University, Japan. His research interests are in financial time series and function estimators for time series.
Dr. Hiroaki Ogata is an assistant professor at the School of International Liberal Studies, Waseda University. He is currently researching empirical likelihood estimation methods in time series analysis, as well as in stable distributions.
Dr. Hiroyuki Taniai completed his Ph D at Université Libre de Bruxelles and is now a research associate at the School of International Liberal Studies, Waseda University. His research interests include semiparametric inference, quantile regression and their applications in finance.
Acquista questo ebook e ricevine 1 in più GRATIS!
Lingua Inglese ● Formato PDF ● Pagine 118 ● ISBN 9783319034973 ● Dimensione 2.9 MB ● Casa editrice Springer International Publishing ● Città Cham ● Paese CH ● Pubblicato 2014 ● Scaricabile 24 mesi ● Moneta EUR ● ID 3039306 ● Protezione dalla copia DRM sociale

Altri ebook dello stesso autore / Editore

3.988 Ebook in questa categoria