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Parameter instability, stochastic volatility and estimation based on simulated likelihood: Evidence from the crude oil market
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文摘
Stochastic volatility (SV) models with fixed parameters can be too restrictive. We incorporate time-variation in the model parameters for different SV-type models. Applied to crude oil data, we find evidence of time-variation in the model parameters. Break SV models with leverage/Student’s t-distributed innovations perform best. The timing of parameter changes align with economic events.

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