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Nonlinear Time Series Analysis of Economic and Financial Data

2012-12-06 Business & Economics
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Release : 2012-12-06
Genre : Business & Economics
Kind : eBook
Book Rating : 293/5 ( reviews)

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Book Synopsis Nonlinear Time Series Analysis of Economic and Financial Data by : Philip Rothman

Download or read book Nonlinear Time Series Analysis of Economic and Financial Data written by Philip Rothman. This book was released on 2012-12-06. Available in PDF, EPUB and Kindle. Book excerpt: Nonlinear Time Series Analysis of Economic and Financial Data provides an examination of the flourishing interest that has developed in this area over the past decade. The constant theme throughout this work is that standard linear time series tools leave unexamined and unexploited economically significant features in frequently used data sets. The book comprises original contributions written by specialists in the field, and offers a combination of both applied and methodological papers. It will be useful to both seasoned veterans of nonlinear time series analysis and those searching for an informative panoramic look at front-line developments in the area.

Non-Linear Time Series Models in Empirical Finance

2000-07-27 Business & Economics
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Release : 2000-07-27
Genre : Business & Economics
Kind : eBook
Book Rating : 416/5 ( reviews)

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Book Synopsis Non-Linear Time Series Models in Empirical Finance by : Philip Hans Franses

Download or read book Non-Linear Time Series Models in Empirical Finance written by Philip Hans Franses. This book was released on 2000-07-27. Available in PDF, EPUB and Kindle. Book excerpt: This 2000 volume reviews non-linear time series models, and their applications to financial markets.

Modelling and Forecasting Financial Data

2012-12-06 Business & Economics
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Release : 2012-12-06
Genre : Business & Economics
Kind : eBook
Book Rating : 319/5 ( reviews)

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Book Synopsis Modelling and Forecasting Financial Data by : Abdol S. Soofi

Download or read book Modelling and Forecasting Financial Data written by Abdol S. Soofi. This book was released on 2012-12-06. Available in PDF, EPUB and Kindle. Book excerpt: Modelling and Forecasting Financial Data brings together a coherent and accessible set of chapters on recent research results on this topic. To make such methods readily useful in practice, the contributors to this volume have agreed to make available to readers upon request all computer programs used to implement the methods discussed in their respective chapters. Modelling and Forecasting Financial Data is a valuable resource for researchers and graduate students studying complex systems in finance, biology, and physics, as well as those applying such methods to nonlinear time series analysis and signal processing.

Nonlinear Time Series Analysis of Business Cycles

2006-02-08 Business & Economics
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Release : 2006-02-08
Genre : Business & Economics
Kind : eBook
Book Rating : 38X/5 ( reviews)

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Book Synopsis Nonlinear Time Series Analysis of Business Cycles by : C. Milas

Download or read book Nonlinear Time Series Analysis of Business Cycles written by C. Milas. This book was released on 2006-02-08. Available in PDF, EPUB and Kindle. Book excerpt: This volume of Contributions to Economic Analysis addresses a number of important questions in the field of business cycles including: How should business cycles be dated and measured? What is the response of output and employment to oil-price and monetary shocks? And, is the business cycle asymmetric, and does it matter?

Modeling Financial Time Series with S-PLUS

2013-11-11 Business & Economics
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Release : 2013-11-11
Genre : Business & Economics
Kind : eBook
Book Rating : 630/5 ( reviews)

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Book Synopsis Modeling Financial Time Series with S-PLUS by : Eric Zivot

Download or read book Modeling Financial Time Series with S-PLUS written by Eric Zivot. This book was released on 2013-11-11. Available in PDF, EPUB and Kindle. Book excerpt: The field of financial econometrics has exploded over the last decade This book represents an integration of theory, methods, and examples using the S-PLUS statistical modeling language and the S+FinMetrics module to facilitate the practice of financial econometrics. This is the first book to show the power of S-PLUS for the analysis of time series data. It is written for researchers and practitioners in the finance industry, academic researchers in economics and finance, and advanced MBA and graduate students in economics and finance. Readers are assumed to have a basic knowledge of S-PLUS and a solid grounding in basic statistics and time series concepts. This Second Edition is updated to cover S+FinMetrics 2.0 and includes new chapters on copulas, nonlinear regime switching models, continuous-time financial models, generalized method of moments, semi-nonparametric conditional density models, and the efficient method of moments. Eric Zivot is an associate professor and Gary Waterman Distinguished Scholar in the Economics Department, and adjunct associate professor of finance in the Business School at the University of Washington. He regularly teaches courses on econometric theory, financial econometrics and time series econometrics, and is the recipient of the Henry T. Buechel Award for Outstanding Teaching. He is an associate editor of Studies in Nonlinear Dynamics and Econometrics. He has published papers in the leading econometrics journals, including Econometrica, Econometric Theory, the Journal of Business and Economic Statistics, Journal of Econometrics, and the Review of Economics and Statistics. Jiahui Wang is an employee of Ronin Capital LLC. He received a Ph.D. in Economics from the University of Washington in 1997. He has published in leading econometrics journals such as Econometrica and Journal of Business and Economic Statistics, and is the Principal Investigator of National Science Foundation SBIR grants. In 2002 Dr. Wang was selected as one of the "2000 Outstanding Scholars of the 21st Century" by International Biographical Centre.

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