In establishing the foundation of their investment process, global equity investors typically adopt a framework along geographic and/or industry dimensions. The chosen framework is then applied to the whole investment process including alpha generation, portfolio construction, and risk...

GARCH type models, with one disturbance to the return of a financial asset, have not been considered as a framework for measuring the contemporaneous correlation between the return shock and the volatility shock. We show that the contemporaneous correlation can be quantified within an EGARCH...

This paper develops a two-sector dynamic stochastic general equilibrium model to measure intangible capital stock and studies the implied riskiness of market value of capital. The equilibrium of the economy is characterized by a state-space representation of dynamic system. Kalman filter...

Recent portfolio choice asset pricing and option valuation models highlight the importance of skewness and kurtosis. Since skewness and kurtosis are related to extreme variations they are also important for Value-at-Risk measurements. Our framework builds on a GARCH model with a condi-tional...

We evaluate how departure from normality may affect the allocation of assets. A Taylor series expansion of the expected utility allows to focus on certain moments and to compute numerically the optimal portfolio allocation. A decisive advantage of this approach is that it remains operational...

Hedge Fund returns are often highly serially correlated mainly due to illiquidity exposures given that investments in such securities tend to be inactively traded and associated market prices are not always readily available. Following that, observed returns of such alternative investments tend...

This paper extends the stochastic conditional duration model first proposed by Bauwens and Veredas (2004) by imposing mixtures of bivariate normal distributions on the innovations of the observation and latent equations of the duration process. This extension allows the model not only to capture...

In this paper, I show that the variance of Fama-French factors, the variance of the momentum factor, as well as the correlation between these factors, predict an important fraction of the time-series variation in post-1990 aggregate stock market returns. This predictability is particularly...

Regressions for predicting long-term stock returns often use moving averages of earnings to proxy for unobserved future earnings. We show that the earnings trend can be directly estimated using unobserved components models. Valuation ratios based on the estimated trends improve the fit of stock...

The integer-valued moving average model is advanced to model the number of transactions in intra-day data of stocks. The conditional mean and variance properties are discussed and model extensions to include, e.g., explanatory variables are offered. Least squares and generalized method of moment...