tgarch, or Threshold Generalized Autoregressive Conditional Heteroskedasticity, is a model used in time series analysis to capture the volatility of financial data, especially when it exhibits asymmetry. This model extends the basic GARCH framework by allowing for different impacts on volatility depending on whether returns are positive or negative, making it particularly useful for analyzing assets that display leverage effects.
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