We reinvestigate the issue of excess comovements of commodity prices initially raised in Pindyck and Rotemberg (1990). While Pindyck and Rotemberg and following contributions consider this issue using an arbitrary set of control variables, we develop our analysis using recent development in...

We empirically reinvestigate the issue of excess comovement of commodity prices initially raised in Pindyck and Rotemberg (1990) and show that excess comovement, when it exists, can be related to hedging and speculative pressure in commodity futures markets. Excess comovement appears when...

As both speculative and hedging financial flows into commodity futures are expected to link commodity price formation more strongly to equity indices, we investigate whether these processes also create increased correlation amongst the commodities themselves. Considering U.S. oil and gas...

We proceed to an impulse-response analysis on the conditional correlations between three stock indices returns: the S&P 500, the ftse 100 and the Nikkei 225. As a first step, a general asymmetric dynamic conditional correlation (ga-dcc) model proposed by Cappiello, Engle and Sheppard [2006] is...

We proceed to an impulse response analysis on the conditional correlations between three stock indices returns: the Nikkei, the FTSE 100 and the S&P 500. As a first step, we estimate an extension of the general asymmetric dynamic conditional correlation (GADCC) model proposed by Cappiello,...

We investigate the macro factors that can explain the monthly oil futures return for the NYMEX WTI futures contract for the time period 1993:11 to 2010:03. We build a new database of 187 real and nominal macroeconomic variables from developed and emerging countries and resort to the large factor...

This paper merges two specifications recently developed in the forecasting literature: the MS-MIDAS model (Guérin and Marcellino, 2013) and the factor-MIDAS model (Marcellino and Schumacher, 2010). The MS-factor MIDAS model that we introduce incorporates the information provided by a large data...

In recent years, central banks and international organisations have been making ever greater use of factor models to forecast macroeconomic variables. We examine the performance of these models in forecasting French GDP growth over short horizons. The factors are extracted from a large data set...

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...

In recent years, the dynamics of M3 in the euro area have been driven by two factors : a strong preference for liquidity, observed between 2001 and 2003, followed by a normalisation, at a relatively moderate pace, of portfolio behaviour; as regards the counterparts, changes in M3 and net...