Central bank interventions and jumps in double long memory models of daily exchange rates

In this paper, we estimate ARFIMA–FIGARCH models for the major exchange rates (against the US dollar) which have been subject to direct central bank interventions in the last decades. We show that the normality assumption is not adequate due to the occurrence of volatility outliers and its rejection is related to these interventions. Consequently, we rely on a normal mixture distribution that allows for endogenously determined jumps in the process governing the exchange rate dynamics. This distribution performs rather well and is found to be important for the estimation of the persistence of volatility shocks. Introducing a time-varying jump probability associated to central bank interventions, we find that the central bank interventions, conducted in either a coordinated or unilateral way, induce a jump in the process and tend to increase exchange rate volatility.     

Climatic Factors as Determinants of International Migration

We examine natural disasters and long‐run climatic factors as potential determinants of international migration, implementing a panel dataset of bilateral migration flows from 1960 to 2000. We find no direct effect of long‐run climatic factors on international migration across our entire sample. These results are robust when conditioning on origin‐country characteristics, when considering migrants returning home, and when accounting for the potential endogeneity of migrant networks. Rather, we find evidence of indirect effects of environmental factors operating through wages. We find that epidemics and miscellaneous incidents spur international migration, and there is strong evidence that natural disasters beget greater flows of migrants to urban environs.     

Aggregate Fluctuations and International Migration

In this paper, we study the role of short‐run factors such as business cycles or changes in employment rates in explaining international migration flows. First, we derive a model of optimal migration choice predicting that short‐run economic fluctuations trigger migration flows on top of the impact exerted by long‐run factors. Second, we empirically test the magnitude of the effect of these short‐run factors on migration flows. Our results indicate that both aggregate fluctuations and employment rates affect migration flows. Third, we provide evidence that the Schengen Agreement and the euro significantly increased the international mobility of workers between the member countries.uuuü     

Official central bank interventions and exchange rate volatility: Evidence from a regime-switching analysis

In this paper, we investigate the effect of central bank interventions on the weekly returns and volatility of the DEM/USD and YEN/USD exchange rate returns. In contrast with previous analyses, we allow for regime-dependent specifications and investigate whether official interventions can explain the observed volatility regime switches. It is found that, depending on the prevailing volatility level, coordinated central bank interventions can lead to either a stabilizing or a destabilizing effect. Our results lead us to challenge the usual view that such interventions always imply increases in volatility.     

The dark side of global integration: Increasing tail dependence

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.     

International nonlinear causality between stock markets

In this paper, we test for linear and nonlinear Granger causality between the French, German, Japanese, UK and US daily stock index returns from 1973 to 2003. We find a strong contemporaneous linear dependence between European countries and a directional linear dependence from the US towards the other markets. Besides, linear causality increases after 1987, a finding consistent with the expected effects of financial liberalization of the 1980s and the 1990s. Above all, we document the presence of bidirectional nonlinear causality between daily returns. To check for spurious nonlinear causality, we filter out heteroskedasticity using a FIGARCH model. The dramatic decrease in the number of significant nonlinear causality lags confirms that heteroskedasticity played a major part in the previous findings. We then check if a few structural breaks can explain the remaining nonlinear causality. We find that a large number of nonlinear relationships vanish when we control for structural breaks, whereas linear causality remains.     

Network Effects in International Migration: Education versus Gender*

In this paper, we analyze the impact that networks have on the structure of international migration flows. In particular, we investigate whether diaspora externalities are different across education levels and gender. Using new data that include both dimensions, we analyze the respective impact that networks have on the proportion of each category of migrant. Therefore, in contrast to the preceding body of literature on the macro determinants of international migration, we can identify the factors that influence the selection in terms of skills and in terms of gender. We find that network effects vary by education level, but not by gender.     

Central bank FOREX interventions assessed using realized moments

This paper assesses the impact of G3 official central bank interventions on daily realized moments of DEM/USD exchange rate returns obtained from intraday data, 1989–2001. Event studies of the realized moments for the intervention day, the days preceding and following the intervention illustrate the shape of this impact. Rolling regressions results for an AR(FI)MA model for realized moments are used to measure the impact and its significance. The analysis confirms previous empirical findings of a temporary increase of volatility after a coordinated central bank intervention. It highlights new findings on the timing and the temporary nature of the impact of coordinated interventions on exchange rate volatility and on cross-moments between foreign exchange markets.     

Diasporas

Migration flows are shaped by a complex combination of self-selection and out-selection mechanisms, both of which are affected by the presence of a diaspora abroad. In this paper, we analyze how existing diasporas (the stock of people born in a country and living in another one) affect the size and human-capital structure of current bilateral migration flows. Our analysis exploits a bilateral data set on international migration by educational attainment from 195 countries to 30 OECD countries in 1990 and 2000. Based on simple micro-foundations and controlling for various determinants of migration, we found that diasporas increase migration flows and lower their average educational level. Interestingly, diasporas explain majority of the variability of migration flows and selection. This suggests that, without changing the generosity of family reunion programs, education-based selection rules are likely to have moderate impact. Our results are highly robust to the econometric techniques, accounting for the large proportion of zeros and endogeneity problems.