Articles liés à Statistical Inference for Financial Engineering
Synopsis
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.
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
À propos de l?auteur
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 PhD 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 PhD 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.
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
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Statistical Inference for Financial Engineering
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Springer International Publishing, 2014
ISBN 10 : 3319034960
ISBN 13 : 9783319034966
Neuf
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Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Prepares readers for analyzing the specific feature of financial dataProvides powerful statistical tools (e.g. the LAN-based approach, empirical likelihood, control variates, quantile regression, etc.)Reflects the latest developments (e.g.,. N° de réf. du vendeur 4496701
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Statistical Inference for Financial Engineering (SpringerBriefs in Statistics)
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Statistical Inference for Financial Engineering
ISBN 10 : 3319034960
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Taschenbuch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - 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. N° de réf. du vendeur 9783319034966
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Statistical Inference for Financial Engineering
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Springer International Publishing Apr 2014, 2014
ISBN 10 : 3319034960
ISBN 13 : 9783319034966
Neuf
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Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne
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Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware - 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. 128 pp. Englisch. N° de réf. du vendeur 9783319034966
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Statistical Inference for Financial Engineering (Paperback or Softback)
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Paperback or Softback. Etat : New. Statistical Inference for Financial Engineering 0.42. Book. N° de réf. du vendeur BBS-9783319034966
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Statistical Inference for Financial Engineering
ISBN 10 : 3319034960
ISBN 13 : 9783319034966
Neuf
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Taschenbuch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -¿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.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 128 pp. Englisch. N° de réf. du vendeur 9783319034966
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Statistical Inference for Financial Engineering
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