We introduce a dynamic Skellam model that measures stochastic volatility from high-frequency tick-by-tick discrete stock price changes. The likelihood function for our model is analytically intractable and requires Monte Carlo integration methods for its numerical evaluation. The proposed...

The link between foreign aid and economic growth remains a controversial issue in the literature, and a large share of the disagreement could be explained by differences in the data employed. Using GDP data from three different versions of the Penn World Table and the World Development...

Forecast combination has been proven to be a very important technique to obtain accurate predictions for various applications in economics, finance, marketing and many other areas. In many applications, forecast errors exhibit heavy-tailed behaviors for various reasons. Unfortunately, to our...

Exchange rate movements influence prices through numerous channels. In this paper we provide empirical evidence on pass-through of exchange rate movements into consumer prices. The pass-through depends on a number of factors, and its size may vary over time. In recent years, prices have...

The paper discusses the latest economic crisis and the public policies used to mitigate the recession and improve the economic growth. The current target rate (monetary policy) is closed to zero since December 2008 with a new experimental policy (“quantitative easing”) to stimulate...

We build a discrete-time non-linear model for volatility forecasting purposes. This model belongs to the class of threshold-autoregressive models, where changes in regimes are governed by past returns. The ability to capture changes in volatility regimes and using more accurate volatility...