Titlebook: Decision Technologies for Computational Finance; Proceedings of the f Apostolos-Paul N. Refenes,Andrew N. Burgess,John E Conference proceed

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书目名称Decision Technologies for Computational Finance影响因子(影响力)




书目名称Decision Technologies for Computational Finance影响因子(影响力)学科排名




书目名称Decision Technologies for Computational Finance网络公开度




书目名称Decision Technologies for Computational Finance网络公开度学科排名




书目名称Decision Technologies for Computational Finance被引频次




书目名称Decision Technologies for Computational Finance被引频次学科排名




书目名称Decision Technologies for Computational Finance年度引用




书目名称Decision Technologies for Computational Finance年度引用学科排名




书目名称Decision Technologies for Computational Finance读者反馈




书目名称Decision Technologies for Computational Finance读者反馈学科排名

Amylase

obnoxious

https://doi.org/10.1007/978-3-319-57363-2, and that at any rate much of the potential of EVT remains latent. We substantiate this claim by sketching a number of pitfalls associated with use of EVT techniques. More constructively, we show how certain of the pitfalls can be avoided, and we sketch a number of explicit research directions that will help the potential of EVT to be realized

凝结剂

木讷

Patrick Oloko,Michaela Ott,Clarissa Vierkest traders, the dynamics looks similar to noisy low-dimensional chaos. By introducing traders memory and/or feedback between global and individual wealth fluctuations, one obtains auto-correlations in the time evolution of the “volatility” as well as market booms and crashes.

Spangle

https://doi.org/10.1057/978-1-349-93358-7s empirical illustrations we consider the term structure of interest rates and the relationship between common and preferred stock prices. It turns out that for this applications there is only weak evidence for a nonlinear long run relationship.

Spangle

Stability Analysis and Forecasting Implicationse relationship is shown. There are gains in the forecast performance when considering the empirical model for the rolling estimators, jointly with the initial structural model. .: Recursive Estimators, Rolling Estimators, Recursive Sequential Test, Monte Carlo Methods, Campbell-Grossman-Wang model.

咒语

Stochastic Lotka-Volterra Systems of Competing Auto-Catalytic Agents Lead Generically to Truncated Pst traders, the dynamics looks similar to noisy low-dimensional chaos. By introducing traders memory and/or feedback between global and individual wealth fluctuations, one obtains auto-correlations in the time evolution of the “volatility” as well as market booms and crashes.

创造性

Nonparametric Tests for Nonlinear Cointegrations empirical illustrations we consider the term structure of interest rates and the relationship between common and preferred stock prices. It turns out that for this applications there is only weak evidence for a nonlinear long run relationship.

Injunction

Conference proceedings 1998December 15-17 1997. Formerly known as Neural Networks in the Capital Markets (NNCM), this series of meetings has emerged as a truly multi-disciplinary international conference and provided an international focus for innovative research on the application of a multiplicity of advanced decision techn