This paper examines the behaviour of stock and bond markets across four major international countries. The results confirm the view that same asset-cross country return correlations and spillovers increase over time. However, the same in not true with variance and covariance behaviour....

We use wavelet analysis to examine the impact of macro-news announcements on the stock-bond correlation. Significant announcement effects appear after controlling for the recent financial crisis, with a link between the speed of reaction and the timing of announcements, with early released news...

We perform a comprehensive examination of the recursive, comparative predictive performance of a number of linear and non-linear models for UK stock and bond returns. We estimate Markov switching, threshold autoregressive (TAR), and smooth transition autoregressive (STR) regime switching models,...

This paper examines the cointegrating relationships between UK quarterly stock prices, stock price fundamentals, GDP and consumption. Evidence reported supports cointegration between these four-variables, with results indicating three cointegrating vectors, or a single common stochastic trend....

Using data for forty markets, this paper examines the nature and possible causes of time-variation within the stock return-dividend yield predictive regression. The results in this paper show that there is significant time-variation in the predictive equation for returns and that such variation...

We propose a new way to conduct multiple hypothesis testing in economics research. Our framework allows for correlation among tests and incomplete data, both of which are prevalent in economic meta-analysis. Our simulations show that that our method is able to produce the correct p-value cutoff...

Research examining the usefulness of non-linear models for stock market returns has almost reached an impasse. While there is general recognition of the superior ability of non-linear models to describe the data, there is less certainty about their ability to forecast the data. As such simple...

Using a simple and well-established model for predictive power this letter assess how much in-sample data is required to obtain good out-of-sample forecasts. Specifically using the present value predictive model for monthly stock returns we conduct a backward recursive exercise where the...

Single factor asset pricing models face two major hurdles: the problematic time-series properties of the ex ante market risk premium and the inability of the risk measure to account for a substantial degree of the cross-sectional variation of expected excess returns. We provide an explanation...