Tehran Stock Exchange dynamics in a Markov regime switching EGARCH-in-mean model
This paper examines regime shifts in TEDPIX return and volatility and the effects of positive and negative crude oil shocks and gold price fluctuations on stock market shifts behavior using Markov switching EGARCH model with Student’s t-distribution. We detect two episodes of series behavior، one relative to low mean/high variance regime namely bear state and the other to high mean/low variance regime namely bull state so that the expected duration of bull state is more than twice as long as the other one. The results show that the external variables involving positive and negative crude oil shocks and gold price fluctuations significantly impact neither on the equity return nor on transition probability between regimes but they have significant effect on the stock market volatility.
-
Explaining the Nonlinear Response of Tehran Stock Exchange Price Index to Oil Price Shocks Using Markov Switching Regime
*, Milad Rafiee
Journal of Financial Management Strategy, -
Designing a Financial Condition Index to Predict Macroeconomic Variables Using Dynamic Time-varying Models
Paria Karimi, *, Mohammad Nadiri, MohammadReza Mehrabanpour
Financial Research,