The treatment of this article renders closed-form density approximation feasible for univariate continuous-time models. Implementation methodology depends directly on the parametric-form of the drift and the diffusion of the primitive process and not on its transformation to a unit-variance...

We analyze a new class of linear factor models in which the factors are latent and the covariance matrix of excess returns follows a multivariate stochastic volatility process. We evaluate cross-sectional restrictions suggested by the APT, compare competing stochastic volatility specifications...

The treatment of this article renders closed-form density approximation feasible for univariate continuous-time models. Implementation methodology depends directly on the parametric-form of the drift and the diffusion of the primitive process and not on its transformation to a unit-variance...

Based on the fact that realized measures of volatility are affected by measurement errors, we introduce a new family of discrete-time stochastic volatility models having two measurement equations relating both observed returns and realized measures to the latent conditional variance. A...

This paper evaluates if sentiment extracted from social media and options volume anticipates future asset return. Using both textual based data and a particular market data derived call-put ratio, between July 2009 and September 2012, this research shows that: 1) features derived from market...

Previous literature has recognized the importance of regime changes in the calculation of ex-ante equity premia. However, the methodologies used to estimate equity premia only allow for very restrictive forms of regime transitions. This paper addresses the issue by postulating an evolving model...

A large body of research has stressed the importance of time varying risk premia in explaining asset pricing puzzles. We propose an empirical model for dividend growth, consumption growth and dividend-prices that is consistent with this literature and use it to estimate conditional and...

This paper provides a systematic investigation of the relative performance between the two mainstream portfolio optimisation methods: mean-variance and mean-Conditional Value-at-Risk (CVaR) from both theoretical and practical perspectives. Using portfolios representing the entire US stock...

This study examines the role of market sentiment in predicting the price bubbles of four strategic metal commodities (gold, silver, palladium, and platinum) from January 1985 to August 2020. It is the first to investigate this topic using sentiment indices, including news-based economic and...

We explore high-dimensional linear factor models in which the covariance matrix of excess asset returns follows a multivariate stochastic volatility process. We test crosssectional restrictions suggested by the arbitrage pricing theory, compare competing stochastic volatility specifications for...