We propose a novel Bayesian model combination approach where the combination weights depend on the past forecasting performance of the individual models entering the combination through a utility-based objective function. We use this approach in the context of stock return predictability and...

Market liquidity is the ease of trading an asset. Its risk is the potential loss, because a security can only be traded at high or prohibitive costs. While the omnipresence and importance of market liquidity is widely acknowledged, it has long remained a more or less elusive concept. Treatment...

Market liquidity risk, the difficulty or cost of trading assets in crises, has been recognized as an important factor in risk management. Literature has already proposed several models to include liquidity risk in the standard Value-at-Risk framework. While theoretical comparisons between those...

It has been frequently discussed, that returns are not normally distributed. Liquidity costs, measuring market liquidity, are similarly non-normally distributed displaying fat tails and skewness. Liquidity risk models either ignore this fact or use the historical distribution to empirically...

Experimental stock markets are used to add some more evidence that Blacks (1976) leverage effect in financial markets does not necessarily stem from the financial leverage of the firm. We surprisingly find a large number of markets in which the leverage effect is observed although the underlying...

This paper analyzes the expected life-time utility and the hedging demands in an exchange only, representative agent general equilibrium under incomplete information. We derive an expression for the investor’s expected life-time utility, and analyze his hedging demands for intertemporal changes...

This paper investigates the extent to which differences in information costs can explain the equity home bias puzzle. In a model where the cost of acquiring information regarding the Foreign asset is higher than for the Home asset, we show that–if cost functions are convex–the expected size of...

Bayesian Model Averaging (BMA) has recently been discussed in the financial literature as an effective way to account for model uncertainty. In this paper we compare BMA to a new model uncertainty framework introduced by Yang (2004), called Aggregate Forecasting Through Exponential Reweighting,...

As early as 1934 Graham and Dodd conjectured that excess returns from value investment originate from a tendency of markets to converge towards fundamental values. This paper confirms their insights theoretically within the evolutionary finance model of Evstigneev, Hens, and Schenk-Hopp (2006)...