Using monthly stock and bond return data in the past 150 years (1855-2001) for both the US and the UK, this study documents time-varying stock-bond correlation over macroeconomic conditions (the business cycle, the inflation environment and monetary policy stance). There are different patterns...

Traditional autocorrelation and variance ratio tests are based on serial uncorrelatedness rather than martingale difference. As such, they do not capture potential nonlinearity-in-mean, which could lead to misleading inferences in favor of the martingale hypothesis. This paper employs various...

This paper proposes a class of test procedures for a structural change with an unknown change point. In particular, we consider a general financial time series model with conditional heteroskedasticity. The test statistics are constructed via the empirical distribution approach and are aiming...

This paper examines daily return predictability for eighteen international stock index ETFs. The out-of-sample tests are conducted, based on linear and various popular nonlinear models and both statistical and economic criteria for model comparison. The main results show evidence of...

We uncover a positive, empirical risk-return tradeoff in the stock market after controlling for the covariance of stock market returns with the value premium. The underlying premise is that, as conjectured by Fama and French (1996), the value premium is a proxy for time-varying investment...

Using a semiparametric estimation technique, we show that the risk-return tradeoff and the Sharpe ratio of the stock market increases monotonically with the consumption wealth ratio (CAY) across time. While early studies have commonly interpreted such a finding as evidence of the countercyclical...