Statistical inference for financial engineering / Masanobu Taniguchi, Tomoyuki Amano, Hiroaki Ogata, Hiroyuki Taniai.
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...
Saved in:
Online Access: |
Full Text (via Springer) |
---|---|
Main Authors: | , , , |
Format: | eBook |
Language: | English |
Published: |
Cham :
Springer,
[2014]
|
Series: | SpringerBriefs in statistics.
|
Subjects: |
MARC
LEADER | 00000cam a2200000xi 4500 | ||
---|---|---|---|
001 | b7728667 | ||
006 | m o d | ||
007 | cr ||||||||||| | ||
008 | 140403s2014 sz ob 001 0 eng d | ||
005 | 20240423171258.9 | ||
020 | |a 9783319034973 |q (electronic bk.) | ||
020 | |a 3319034979 |q (electronic bk.) | ||
020 | |z 9783319034966 | ||
020 | |z 3319034960 | ||
024 | 7 | |a 10.1007/978-3-319-03497-3 | |
035 | |a (OCoLC)spr875578033 | ||
035 | |a (OCoLC)875578033 | ||
037 | |a spr10.1007/978-3-319-03497-3 | ||
040 | |a N$T |b eng |e rda |e pn |c N$T |d GW5XE |d YDXCP |d UKMGB |d IDEBK |d E7B |d COO |d EBLCP |d A7U |d UWO |d OCLCQ |d JG0 | ||
049 | |a GWRE | ||
050 | 4 | |a QA276 | |
100 | 1 | |a Taniguchi, Masanobu, |e author. |0 http://id.loc.gov/authorities/names/n91114332 |1 http://isni.org/isni/0000000116516827. | |
245 | 1 | 0 | |a Statistical inference for financial engineering / |c Masanobu Taniguchi, Tomoyuki Amano, Hiroaki Ogata, Hiroyuki Taniai. |
264 | 1 | |a Cham : |b Springer, |c [2014] | |
300 | |a 1 online resource. | ||
336 | |a text |b txt |2 rdacontent. | ||
337 | |a computer |b c |2 rdamedia. | ||
338 | |a online resource |b cr |2 rdacarrier. | ||
490 | 1 | |a SpringerBriefs in statistics. | |
504 | |a Includes bibliographical references and index. | ||
505 | 0 | |a Preface -- Features of Financial Data -- Empirical Likelihood Approaches for Financial Returns -- Various Methods for Financial Engineering -- Some Techniques for ARCH Financial Time Series -- Index. | |
520 | |a 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 et cetera 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 et cetera, 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. | ||
588 | 0 | |a Print version record. | |
650 | 0 | |a Financial engineering |x Statistical methods. | |
650 | 0 | |a Mathematical statistics. |0 http://id.loc.gov/authorities/subjects/sh85082133. | |
650 | 0 | |a Probabilities. |0 http://id.loc.gov/authorities/subjects/sh85107090. | |
700 | 1 | |a Amano, Tomoyuki, |e author. | |
700 | 1 | |a Ogata, Hiroaki, |e author. |0 http://id.loc.gov/authorities/names/n2006086388. | |
700 | 1 | |a Taniai, Hiroyuki, |e author. | |
776 | 0 | 8 | |i Print version: |t Statistical Inference for Financial Engineering |z 9783319034966 |w (OCoLC)870985661. |
830 | 0 | |a SpringerBriefs in statistics. |0 http://id.loc.gov/authorities/names/no2011109398. | |
856 | 4 | 0 | |u https://colorado.idm.oclc.org/login?url=http://link.springer.com/10.1007/978-3-319-03497-3 |z Full Text (via Springer) |
907 | |a .b77286674 |b 03-19-20 |c 05-22-14 | ||
998 | |a web |b 05-01-17 |c g |d b |e - |f eng |g sz |h 0 |i 1 | ||
907 | |a .b77286674 |b 07-02-19 |c 05-22-14 | ||
944 | |a MARS - RDA ENRICHED | ||
907 | |a .b77286674 |b 05-23-17 |c 05-22-14 | ||
915 | |a I | ||
956 | |a Springer e-books | ||
956 | |b Springer Nature - Springer Mathematics and Statistics eBooks 2014 English International | ||
956 | |b Springer Nature - Springer Mathematics and Statistics eBooks 2014 English International | ||
999 | f | f | |i 46c77a6c-a8b0-517a-ac0c-7fb4a4955778 |s d15f0584-a220-5dfe-856d-2126cf7cd470 |
952 | f | f | |p Can circulate |a University of Colorado Boulder |b Online |c Online |d Online |e QA276 |h Library of Congress classification |i Ebooks, Prospector |n 1 |