Exchange rate markets exhibit correlation in the short run, but the issue is whether such correlation lingers over long periods of time, and under extreme events (i.e., either large appreciations or depreciations). In this paper, we analyze dependence between nominal exchange rates under extreme...

This paper provides theory as well as empirical results for pre-averaging estimators of the daily quadratic variation of asset prices. We derive jump robust inference for pre-averaging estimators, corresponding feasible central limit theorems and an explicit test on serial dependence in...

This paper provides empirical evidence that combinations of option implied and time series volatility forecasts that are conditional on current information are statistically superior to individual models, unconditional combinations, and hybrid forecasts. Superior forecasting performance is...

This paper presents structural estimates for a bargaining model which nests the right-to-manage, the efficient wage bargaining, the seniority and the standard neo- classical labor demand model as special cases. In contrast to most existing models, our approach accounts for heterogeneous skill...

Most of the available monthly interest data series consist of monthlyaverages of daily observations. It is well-known that this averaging introduces spurious autocorrelation effectsin the first differences of the series. It isexactly this differenced series we are interested in when...

We present a new procedure for detecting multiple additive outliers in GARCH(1,1) models at unknown dates. The outlier candidates are the observations with the largest standardized residual. First, a likelihood-ratio based test determines the presence and timing of an outlier. Next, a second...

Novel periodic extensions of dynamic long memory regression models with autoregressive conditional heteroskedastic errors are considered for the analysis of daily electricity spot prices. The parameters of the model with mean and variance specifications are estimated simultaneously by the method...

This paper considers spot variance path estimation from datasets of intraday high frequency asset prices in the presence of diurnal variance patterns, jumps, leverage effects and microstructure noise. We rely on parametric and nonparametric methods. The estimated spot variance path can be used...

The market-oriented approach promoted by the European Central Bank in the design of its refinancing operations creates incentives to credit insitutions to use actively the interbank market to manage their liquidity needs. In this context, we examine the ability of the overnight segment to...

Foreign direct investment (FDI) inflows have increased considerably in the globalized world as of the mid-1980s. The main objective of this research is to analyze interactions between FDI inflows and financial sector development in Central and Eastern European Union countries between 1996 and...