We systematically examine the comparative predictive performance of a number of alternativelinear and non-linear models for stock and bond returns in the G7 countries. Besides Markovswitching, threshold autoregressive (TAR), and smooth transition autoregressive (STAR) regimeswitching...

The 2007-2008 financial crises has made it painfully obvious that markets may quickly turn illiquid.Moreover, recent experience has shown that distress and lack of active trading can jump “around”between seemingly unconnected parts of the financial system contributing to transforming...

Welfare gains to long-horizon investors may derive from time diversification that exploits non-zerointertemporal return correlations associated with predictable returns. Real estate may thus become moredesirable if its returns are negatively serially correlated. While it could be important for...

We use multivariate regime switching vector autoregressive models to characterize the time-varyinglinkages among the Irish stock market, one of the top world performers of the 1990s, and the US andUK stock markets. We ¯nd that two regimes, characterized as bear and bull states, are required...

We address one interesting case — the predictability of excess US asset returns from macroeconomic factors within a flexible regime switching VAR framework — in which the presence of regimes may lead to superior forecasting performance from forecast combinations. After having documented that...

This paper studies asset allocation decisions in the presence of regime switching in asset returns. Wefind evidence that four separate regimes - characterized as crash, slow growth, bull and recovery states- are required to capture the joint distribution of stock and bond returns. Optimal asset...

We calculate optimal portfolio choices for a long-horizon, risk-averse investor who diversifies amongEuropean stocks, bonds, real estate, and cash, when excess asset returns are predictable. Simulations areperformed for scenarios involving different risk aversion levels, horizons, and...