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Conditional covariances and direct central bank interventions in the foreign exchange markets

Journal of Banking & Finance 2004 28(6), 1385-1411
In this paper, we investigate the effects of central bank interventions (CBIs) on the ex post correlation and covariance of exchange rates. Using a multivariate GARCH model with time-varying conditional covariances, we estimate the effects of CBIs on both the variances and covariance between the yen and the deutsche mark (the Euro) in terms of the US dollar. Our results suggest that coordinated CBIs not only tend to increase the volatility of exchange rates but also explain a significant amount of the covariance between the major currencies. We show that this result can be useful for short-run currency portfolio management.

The impact of FX central bank intervention in a noise trading framework

Journal of Banking & Finance 2009 33(7), 1187-1195
In this paper, we analyse the effectiveness of the direct central bank interventions using a new effectiveness criterion. To this aim, we investigate the effects of central bank interventions (CBI) in a noise trading model with chartists and fundamentalists. We first estimate a model in which chartists extrapolate past returns and fundamentalists forecast a mean reverting dynamics of the exchange rate towards a fundamental value. Then, we investigate the role of central bank interventions for explaining the switching properties between the two types of agents. We find evidence that in the medium run, interventions increase the proportion of fundamentalists and therefore exert some stabilizing influence on the exchange rate.

The dark side of global integration: Increasing tail dependence

Journal of Banking & Finance 2010 34(1), 184-192
We measure stock market coexceedances using the methodology of Cappiello, Gerard and Manganelli (2005, ECB Working Paper 501). This method enables us to measure comovement at each point of the return distribution. First, we construct annual coexceedance probabilities for both lower and upper tail return quantiles using daily data from 1974–2006. Next, we explain these probabilities in a panel gravity model framework. Results show that macroeconomic variables asymmetrically impact stock market comovement across the return distribution. Financial liberalization significantly increases left tail comovement, whereas trade integration significantly increases comovement across all quantiles. Decreasing exchange rate volatility results in increasing lower tail comovement. The introduction of the euro increases comovement across the entire return distribution, thereby significantly reducing the benefits of portfolio diversification within the euro area.

Intervention policy of the BoJ: A unified approach

Journal of Banking & Finance 2009 33(5), 904-913
Intervening in the FX market implies a complex decision process for central banks. Monetary authorities have to decide whether to intervene or not, and if so, when and how. Since the successive steps of this procedure are likely to be highly interdependent, we adopt a nested logit approach to capture their relationships and to characterize the prominent features of the various steps of the intervention decision process. Our estimations based on Japanese data from 1991 to 2004 indicate that the Bank of Japan: (i) mainly reacted to deviations of the exchange rate with respect to fundamentals and (ii) tended to favour secrecy when its credibility was low. We also provide new insights on the so-called secrecy puzzle by modeling explicitly the risk for a secret intervention to be detected. Our results have important implications in terms of exchange rate policy, such as the emergence of a trade-off between intervention size, communication policy and secrecy. Our results tend to provide some explanation for the observed persistence of ineffective intervention policy during some sub-periods.