A simulation study on the Markov regime-switching zero-drift GARCH model

2020 ◽  
Author(s):  
Yanlin Shi
Keyword(s):  
Simulation Study ◽  
Regime Switching ◽  
Garch Model ◽  
Zero Drift ◽  
Markov Regime Switching

scholarly journals A dynamic markov regime-switching asymmetric GARCH model and its cumulative impulse response function

2021 ◽  
Vol 16 (1) ◽  
pp. 2537-2559
Author(s):  
Gado SEMA ◽  
Mamadou Abdoulaye Konté ◽  
Abdou Kâ Diongue
Keyword(s):  
Impulse Response ◽  
Financial Market ◽  
Regime Switching ◽  
Impulse Response Function ◽  
Garch Model ◽  
Market Volatility ◽  
Markov Regime Switching ◽  
Proposed Model ◽  
Asymmetric Garch ◽  
Better Than

In this paper, we consider the Markov regime-switching GJR-GARCH(1,1) model to capture both the cumulative impulse response and the asymmetry of the dynamic behavior of financial market volatility in stationary and explosive states. The model can capture regime shifts in volatility between two regimes as well as the asymmetric response to negative and positive shocks. A Monte Carlo simulation is conducted to validate the main theory and find that the regime-switching GJR-GARCH model performs better than the standard GJR-GARCH model. Applications to Brazilian stock market data show that the proposed model performs well in terms of cumulative impulse response.

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