The arithmetic mean-variance efficient frontier shows that taking more risk is always rewarded with higher expected arithmetic return. However, expected arithmetic return is a poor indicator of long-term arithmetic return, which corresponds to expected continuous return. For the continuous...

We employ the Pearson system of frequency curves to analyse the behaviour of unconditional daily return distributions for all the shares that constitute the STOXX Europe 600 index. Our results show that over finite time periods of analysis the distributions are adequately described as type IV....

Average skewness, which is defined as the average of monthly skewness values across firms, performs well at predicting future market returns. This result still holds after controlling for the size or liquidity of the firms or for current business cycle conditions. We also find that average...

"Capital Allocation" endows us to study the probabilistic equilbrium reached from the expected movments of the Stock Market and Treasury Bond market. This equilbirium is employed to calculate the expected time scope in which the equilbrim can be expected. This gives the zenith of the oscillation...

The aim of the paper is to study empirically the influence of higher moments of the return distribution on conditional value at risk (CVaR). To be more exact, we attempt to reveal the extent to which the risk given by CVaR can be estimated when relying on the mean, standard deviation, skewness...

In this paper we investigate asymmetries in time-varying means, volatilities, correlations, and betas of equity returns in a multivariate threshold framework. We consider alternative specifications in which the threshold variable is based on well-established equity pricing factors and...

Although several types of options on multiple assets are popular in today's financial markets, valuing multi-asset options is still a challenge in finance. The standard framework of multivariate normality is often inappropriate, since it ignores fat tails and other stylized facts of asset...

In this paper we investigate the predictive power of cross-sectional volatility, skewness and kurtosis for future stock returns. Adding to the work of Maio (2016), who finds cross-sectional volatility to forecast a decline in the equity premium with high predictive power in-sample as well as...