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• W1835430282 abstract "Many financial and economic data exhibit nonlinear characteristics. Prices of commodities such as crude oil often rise quickly but decline slowly. The monthly U.S. unemployment rate exhibits sharp increases followed by slow decreases. To model these characteristics in a satisfactory manner, one must employ nonlinear econometric models or use nonparametric statistical methods. For most applications, it suffices to employ simple nonlinear models. For example, the quarterly growth rate of the U.S. gross domestic product can be adequately described by the Markov switching or threshold autoregressive models. These models typically classify the state of the U.S. economy into two categories corresponding roughly to expansion and contraction." @default.
• W1835430282 created "2016-06-24" @default.
• W1835430282 creator A5033579806 @default.
• W1835430282 date "2012-12-15" @default.
• W1835430282 modified "2023-10-14" @default.
• W1835430282 title "Nonlinearity and Nonlinear Econometric Models in Finance" @default.
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• W1835430282 doi "https://doi.org/10.1002/9781118182635.efm0065" @default.
• W1835430282 hasPublicationYear "2012" @default.
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