Working Paper: CEPR ID: DP8480
Authors: Andrew Ang; Allan G. Timmermann
Abstract: Regime switching models can match the tendency of financial markets to often change their behavior abruptly and the phenomenon that the new behavior of financial variables often persists for several periods after such a change. While the regimes captured by regime switching models are identified by an econometric procedure, they often correspond to different periods in regulation, policy, and other secular changes. In empirical estimates, the regime switching means, volatilities, autocorrelations, and cross-covariances of asset returns often differ across regimes, which allow regime switching models to capture the stylized behavior of many financial series including fat tails, heteroskedasticity, skewness, and time-varying correlations. In equilibrium models, regimes in fundamental processes, like consumption or dividend growth, strongly affect the dynamic properties of equilibrium asset prices and can induce non-linear risk-return trade-offs. Regime switches also lead to potentially large consequences for investors' optimal portfolio choice.
Keywords: jumps; mixture distributions; nonlinear equilibrium asset pricing models; rare events; regime switching
JEL Codes: G11; G12
Edges that are evidenced by causal inference methods are in orange, and the rest are in light blue.
| Cause | Effect |
|---|---|
| regime switches (P20) | asset pricing dynamics (G19) |
| regime switches (P20) | risk-return tradeoffs (G11) |
| persistence of regimes (P30) | volatility clustering in asset returns (C58) |