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The Global Financial Crisis (GFC) changes the relative economic riskiness and risk-adjustedperformance of different asset markets. While the empirical distribution for stock return shifted to the right and became more concentrated around the mean after the GFC, the real estate market counterparts moved to the left and became more spread out. The economic risk of the OFHEO and Case-Shiller housing indices was smaller than the counterpart of the equity REIT (EREITs) market before the financial crisis, it substantially increased. Also, the economic performance of the OFHEO and Case-Shiller housing indices decreased after the financial crisis. They are below the performance indices of the stock and EREITs markets. The ex-post real estate premium vanishes. If we presume the "best model" to be the same before and after the GFC, we could severely misestimate the risk after the GFC.

The Global Financial Crisis (GFC) changes the relative economic riskiness and risk-adjusted-performance of different asset markets. While the empirical distribution for stock return shifted to the right and became more concentrated around the mean after the GFC, the real estate market counterparts moved to the left and became more spread out. The economic risk of the OFHEO and Case-Shiller housing indices was smaller than the counterpart of the equity REIT (EREITs) market before the financial crisis, it substantially increased. Also, the economic performance of the OFHEO and Case-Shiller housing indices decreased after the financial crisis. They are below the performance indices of the stock and EREITs markets. The ex-post real estate premium vanishes. If we presume the "best model" to be the same before and after the GFC, we could severely misestimate the risk after the GFC.

This paper revisits the relationships among macroeconomic variables and asset returns. Based on recent developments in econometrics, we categorize competing models of asset returns into different “Equivalence Predictive Power Classes” (EPPC). During the pre-crisis period (1975-2005), some models that emphasize imperfect capital markets outperform an AR(1) for the forecast of housing returns. After 2006, a model that includes both an external finance premium (EFP) and the TED spread “learns and adjusts” faster than competing models. Models that encompass GDP experience a significant decay in predictive power. We also demonstrate that a simulation-based approach is complementary to the EPPC methodology.

We examine how the fluctuations in financial and housing markets in U.S. affect the asset returns and GDP in Hong Kong. In contrast to the results from linear specifications, which concludes that the U.S. and Hong Kong are virtually delinked in terms of the asset markets, our regime-switching models indicate that the unexpected shock of US stock returns, followed by the TED spread, has the most significant effect on HK asset returns and GDP, typically in the regime with high return and low volatility. For the in-sample one-step-ahead forecasting, US Term spread stands out to be the best predictor.