Rekodi ya ushahidi wa mbinu

Hiemstra-Jones Causality

The Hiemstra-Jones test, introduced in 1994, is a nonparametric procedure for detecting nonlinear causal relationships between two time series after removing their linear interdependencies. Developed in the context of stock price and trading volume dynamics, it extends the standard linear Granger causality framework by using correlation integral statistics to detect predictability arising from nonlinear mechanisms that linear VAR models cannot capture.

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Hiemstra-Jones Nonlinear Granger Causality Test

Rekodi ya mbinu ya kiajenda · hypothesis-test / econometrics

Hiemstra, C., & Jones, J. D. (1994). Testing for linear and nonlinear Granger causality in the stock price-volume relation. The Journal of Finance, 49(5), 1639–1664. · DOI 10.1111/j.1540-6261.1994.tb04776.x

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