Massimo Guidolin
;
Allan Timmermann

an econometric model of nonlinear dynamics in the joint distribution of stock and bond returns (replication data)

This paper considers a variety of econometric models for the joint distribution of US stock and bond returns in the presence of regime switching dynamics. While simple two- or three-state models capture the univariate dynamics in bond and stock returns, a more complicated four-state model with regimes characterized as crash, slow growth, bull and recovery states is required to capture their joint distribution. The transition probability matrix of this model has a very particular form. Exits from the crash state are almost always to the recovery state and occur with close to 50% chance, suggesting a bounce-back effect from the crash to the recovery state.

Data and Resources

Suggested Citation

Guidolin, Massimo; Timmermann, Allan (2006): An econometric model of nonlinear dynamics in the joint distribution of stock and bond returns (replication data). Version: 1. Journal of Applied Econometrics. Dataset. https://jda-test.zbw.eu/dataset/an-econometric-model-of-nonlinear-dynamics-in-the-joint-distribution-of-stock-and-bond-returns