Recurrence Interval Analysis Of Financial Time Series
Download and Read Recurrence Interval Analysis Of Financial Time Series full books in PDF, ePUB, and Kindle. Read online free Recurrence Interval Analysis Of Financial Time Series ebook anywhere anytime directly on your device. We cannot guarantee that every ebooks is available!
Recurrence Interval Analysis of Financial Time Series
Author | : Wei-Xing Zhou |
Publisher | : Cambridge University Press |
Total Pages | : 86 |
Release | : 2024-03-21 |
Genre | : Business & Economics |
ISBN | : 100938175X |
Download Recurrence Interval Analysis of Financial Time Series Book in PDF, Epub and Kindle
This Element aims to provide a systemic description of the techniques and research framework of recurrence interval analysis of financial time series. The authors also provide perspectives on future topics in this direction.
Recurrence Interval Analysis of Financial Time Series Related Books
Language: en
Pages: 86
Pages: 86
Type: BOOK - Published: 2024-03-21 - Publisher: Cambridge University Press
This Element aims to provide a systemic description of the techniques and research framework of recurrence interval analysis of financial time series. The autho
Language: en
Pages: 576
Pages: 576
Type: BOOK - Published: 2005-09-15 - Publisher: John Wiley & Sons
Provides statistical tools and techniques needed to understandtoday's financial markets The Second Edition of this critically acclaimed text provides acomprehen
Language: en
Pages: 414
Pages: 414
Type: BOOK - Published: 2013-11-11 - Publisher: John Wiley & Sons
An accessible guide to the multivariate time series tools used in numerous real-world applications Multivariate Time Series Analysis: With R and Financial Appli
Language: en
Pages: 243
Pages: 243
Type: BOOK - Published: 2020-11-26 - Publisher: CRC Press
The analysis prediction and interpolation of economic and other time series has a long history and many applications. Major new developments are taking place, d
Language: en
Pages: 628
Pages: 628
Type: BOOK - Published: 2009-01-01 - Publisher:
Market_Desc: Ideal as a fundamental introduction to time series for MBA students or as a reference for researchers and practitioners in business and finance Spe