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Titlebook: Nonlinear Time Series Analysis of Economic and Financial Data; Philip Rothman Book 1999 Springer Science+Business Media New York 1999 busi

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書(shū)目名稱Nonlinear Time Series Analysis of Economic and Financial Data
編輯Philip Rothman
視頻videohttp://file.papertrans.cn/668/667732/667732.mp4
叢書(shū)名稱Dynamic Modeling and Econometrics in Economics and Finance
圖書(shū)封面Titlebook: Nonlinear Time Series Analysis of Economic and Financial Data;  Philip Rothman Book 1999 Springer Science+Business Media New York 1999 busi
描述.Nonlinear Time Series Analysis of Economic and FinancialData. provides an examination of the flourishing interest that hasdeveloped in this area over the past decade. The constant themethroughout this work is that standard linear time series tools leaveunexamined and unexploited economically significant features infrequently used data sets. The book comprises original contributionswritten by specialists in the field, and offers a combination of bothapplied and methodological papers. It will be useful to both seasonedveterans of nonlinear time series analysis and those searching for aninformative panoramic look at front-line developments in the area.
出版日期Book 1999
關(guān)鍵詞business cycle; calculus; dynamics; modeling; nonlinearity; regression; sets; time series; time series analy
版次1
doihttps://doi.org/10.1007/978-1-4615-5129-4
isbn_softcover978-1-4613-7334-6
isbn_ebook978-1-4615-5129-4Series ISSN 1566-0419 Series E-ISSN 2363-8370
issn_series 1566-0419
copyrightSpringer Science+Business Media New York 1999
The information of publication is updating

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On the Inherent Nonlinearity of Frequency Dependent Time Series Relationships,in sign and/or intensity for high frequency fluctuations than for low frequency fluctuations. For example, the Permanent Income Hypothesis is essentially synonymous with the proposition that the consumption-income relationship is strong at low frequencies and weak at high frequencies. And the growth
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Asymmetric Nonlinear Smooth Transition Garch Models,symmetry, first noted by Black in 1976, is characterized by the market’s asymmetric reaction to news, in the sense that stock market returns become more volatile after a negative price shock, than they do after a positive shock of the same absolute size. The first empirical models which explicitly a
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