In this paper, we investigate the dynamic relationship between financial market volatility, macroeconomic fundamentals and investor sentiment, employing a two-factor model to decompose volatility into a persistent long-run component and a transitory short-run component. Using a structural VAR...

In this paper, we employ the earnings model developed in Ashton and Wang (2013) to forecast the one- to three-year ahead earnings of individual companies. We find that the model produces forecasts of future earnings that are less biased and more informative than both the consensus analysts'...

We generalise the Black-Litterman (BL) portfolio management framework to incorporate time-variation in the conditional distribution of returns in the asset allocation process. We evaluate the performance of the dynamic BL model using both standard performance ratios as well as other measures...

We investigate the cross-sectional relationship between stock returns and a number of measures of option-implied beta. Using portfolio analysis, we show that the method proposed by Buss and Vilkov (2012) leads to a stronger relationship between implied beta and stock returns than other...

This paper proposes a simplified multivariate GARCH model that involves the estimation of only univariate GARCH models, both for the individual return series and for the sum and difference of each pair of series. The covariance between each pair of return series is then imputed from these...

In this paper, we provide further evidence on the use of multivariate conditional volatility models in hedge fund risk measurement and portfolio allocation, using monthly hedge fund index return data for the period 1990 to 2009. Building on Giamouridis and Vrontos (2007), we consider a broad set...

Many applications in finance use a non-linear transformation of the variance of returns. While the sample variance is an unbiased and consistent estimator of the population variance of returns, non-linear transformations of the sample variance will be consistent but biased. For estimates of...

A common approach to estimating the conditional volatility of short horizon asset returns is to use an exponentially weighted moving average (EWMA) of squared past returns. The EWMA estimator is based on the maximum likelihood estimator of the variance of the normal distribution, and is thus...

This paper tests the expectations hypothesis of the term structure using cross-section bond yield data. A long series of monthly cross-section regressions is estimated using zero coupon bond yields for maturities from two months to thirty-five years. The expectations hypothesis is tested using...