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  • 标题:Detecting and Measuring Nonlinearity
  • 本地全文:下载
  • 作者:Kotchoni, Rachidi
  • 期刊名称:Econometrics
  • 印刷版ISSN:2225-1146
  • 出版年度:2018
  • 卷号:6
  • 期号:3
  • 页码:1-27
  • 出版社:MDPI, Open Access Journal
  • 摘要:This paper proposes an approach to measure the extent of nonlinearity of the exposure of a financial asset to a given risk factor. The proposed measure exploits the decomposition of a conditional expectation into its linear and nonlinear components. We illustrate the method with the measurement of the degree of nonlinearity of a European style option with respect to the underlying asset. Next, we use the method to identify the empirical patterns of the return-risk trade-off on the SP500. The results are strongly supportive of a nonlinear relationship between expected return and expected volatility. The data seem to be driven by two regimes: one regime with a positive return-risk trade-off and one with a negative trade-off.
  • 关键词:conditional expectation; nonlinearity; orthogonal polynomials; return-risk trade-off
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