This article proposes a new empirical methodology for computing a cross-market volatility index - coined CMIX - based on the Factor-Dynamic Conditional Correlation (DCC) model, implemented on volatility surprises. This approach solves problems in treating high-dimensional data and estimating...

To assess how financial markets and commodities are inter-related, this paper introduces a ‘volatility surprise’ component into the asymmetric DCC with one exogenous variable (ADCCX) framework. We develop an econometric model in which returns and volatility allow to influence pairs of...

We develop a dynamic model in which traders have differential information about the payoff of the risky asset and trade the risky asset with proportional transaction costs. Firstly, trading volume provides useful information on the asset fundamental value which cannot be inferred from the...

This paper presents a capital asset pricing model in the presence of asymmetric information and transaction costs. The model is a generalized version of Merton's (1987) model and Black's (1974) model. Empirical tests show a negative relation between the expected rate of return and the shadow...

This article assesses the cross-market linkages between commodities, stocks and bonds in a cointegration framework during 1993–2011

This article investigates volatility spillovers in commodity markets by following the methodology pioneered in Diebold and Yilmaz (2012). By using a broad data set during 1995–2012, we address three key research questions: are there volatility spillovers within commodities? between standard...

This article investigates momentum strategies in commodity markets. Using a Markov-switching model and formal tests for the number of regimes in the data, we identify momentum trends for a variety of commodities, exchange rates, interest rates and equities. The data cover the period 1995–2012...

In this article, tests for globalization and contagion are separated using an ex ante definition of crises, and contagion tests are neutralized with respect to globalization effects. A large database is constructed to study the stability of correlation matrices for four asset classes : equities,...

We propose a joint modeling of spot electricity prices, forwards prices and other derivative prices, using recent developments in discrete time asset pricing methods based on the notions of stochastic discount factor and of compound autoregressive (or affine) stochastic processes. We show that...

We empirically investigate the impact of option listing on the underlying stock efficiency by looking at the volume-volatility relation of underlying stock. We use a time- consistent bivariate VAR (Vector Autoregressive Regression) model that includes time duration between trades. This model...