The current work undertakes an overview of the forecasting volatility with high frequency data topic, attempting to answer to the fundamental latency problem of return volatility. It surveys the most relevant aspects of the volatility topic, suggesting advantages and disadvantages of each...

In this study, we use the threshold unit root test proposed by Caner and Hansen (2001) to re-investigate the time-series properties of stock prices for the nine transition countries during the 2000.10 to 2010.11 period. The empirical results from our threshold unit test indicate that the null...

The purpose of this paper is to investigate whether rational bubbles exist in the G-7 stock markets during the period from January 1980 to July 2008 using the threshold cointegration approach with asymmetric adjustments advanced by Enders and Siklos (2001). The results of threshold cointegration...

In this study we analyse the issue of mean reversion in forward discount based on nonlinear framework for seven currencies. Compared to previous study, we apply a novel approach of a threshold regression (TAR) and followed by nonlinear unit root tests. This approach disentangles tbodhe issue of...

This paper aims to explore the forecasting accuracy of RON/USD exchange rate structural models with monetary fundamentals. I used robust regression approach for constructing robust neural models less sensitive to contamination with outliers and I studied its predictability on 1 to 6-month...

Macroeconomic forecasts are often based on the interaction between econometric models and experts. A forecast that is based only on an econometric model is replicable and may be unbiased, whereas a forecast that is not based only on an econometric model, but also incorporates expert intuition,...

Inference about predictive ability is usually carried-out in the form of pairwise comparisons between two forecasting methods. Nevertheless, some interesting questions are concerned with families of models and not just with a couple of forecasting strategies. For instance: Are time-series models...

We investigate the sovereign spreads behavior of the European emerging countries using the clustering technique. Our main finding is that the distances between spreads during high volatile times is significantly lower than in normal periods, that is, the correlation is much higher. Secondly, the...

Prediction is a very important and not so easy task for an actuary. An insurance company needs predictions of the future claims in order to evaluate premiums, to assess its financial situation, probabilities of ruin, etc. Therefore, modeling the claims distribution is of great importance, but...