We present a method of estimating density-related functionals, without prior knowledge of the density's functional form. The approach revolves around the specification of an explicit formula for a new class of distributions which encompasses many of the known cases in statistics, including the...

During the financial crisis in 2007-8, the quoted spread for the average S&P 1500 firm increased by 50%, while the systematic liquidity risk increased by 34%. We find that the trading of a firm's equity by institutional investors increased the firms' quoted spreads, and led to a higher liquidity...

We focus on returns defined as log-price differentials and generated by a diffusion process which incorporates stochastic volatility and jumps in prices. The jumps are properly compensated for this model. The stochastic volatility follows the well-known CIR process. We present general...

This article proposes an estimation procedure for the affine stochastic volatility models with jumps both in the asset price and variance processes. The estimation procedure is based on the joint (here bi-variate) unconditional characteristic function for the stochastic process for which we...

This paper introduces a model, based on the Kalman filter framework, which allows for latent factors, time varying parameters, and a general GARCH structure for the residuals, extending the Bekaert and Harvey (1997) model. With this extension it is possible to test if an emerging stock market...

In the absence of transaction costs and the presence of independent returns, a buy-and-hold strategy can be shown to generate higher expected returns than a fixed-weight strategy, where the portfolio weights are regularly readjusted/rebalanced to some initial level. This higher expected return...

In the finance literature, cross-sectional dependence in extreme returns of risky assets is often modelled implicitly assuming an asymptotically dependent structure. If the true dependence structure is asymptotically independent then current modelling approaches will lead to an over-estimation...

In this paper, we use a database consisting of daily stock-index returns for 20 countries to test for similarities between the left and right tail of returns as well as for cross-sectional differences. To mitigate the issue of dependency between stock returns, we estimate the distribution of...

Encompassing a very broad family of ARCH-GARCH models we show that heteroskedasticity, already well documented for the US market, is a worldwide phenomenon. The AT-GARCH (1,1) model, where volatility rises more in response to bad news than to good news, and where news is considered bad only...