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Difficulty: Medium
Category: time_series
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Topics: gjr_garch, garch, leverage_effect, volatility_clustering, time_series
The GJR-GARCH model captures the leverage effect observed in financial markets, where negative return shocks increase future volatility more than positive shocks. This asymmetric response is critical for accurate risk management and derivatives pricing. The model incorporates this effect by adding a term that amplifies the impact of negative returns on the conditional variance. Task Implement the function gjr_garch_variance(returns, omega, alpha, gamma, beta, sigma2_0). This function calculates
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