Most asset returns exhibit high volatility and its persistence. Heuristically, this paper focuses on the role of surprising information in high volatility processes and indicates that dismissing surprising information may lead to considerable loss in forecast accuracy. In response, this paper...

Realized measures of volatility based on high frequency data contain valuable information about the unobserved conditional volatility. In this paper, we use the Realized GARCH model developed by Hansen, Huang and Shek (2012) to estimate and forecast price volatility for four agricultural...

The aim of this paper is to develop an aggregate stability index for the Romanian financial system, which is meant to enhance the set of analysis used by authorities to assess the financial system stability. The index takes into consideration indicators related to financial system development,...

Based on fractal theory, this paper studies the fluctuation characteristics of the gold market in China. Using R/S analysis and fractal dimension analysis this paper demonstrates that the gold market possesses fractal characteristics and determines the length of the aperiodic circulation on the...

This paper investigates the relative performance of the asymmetric normal mixture generalized autoregressive conditional heteroskedasticity (NM-GARCH) and the benchmarked GARCH models with the daily stock market returns of the Johannesburg Stock Exchange, South Africa. The predictive performance...

This study examines the return and volatility behaviour of Borsa Istanbul Real Estate Investment Trusts (REITs) Index and Borsa Istanbul 100 (BIST 100) Index. It focuses on three main points. First, we search whether there are variations in index returns and volatilities by days of the week,...

This paper re-examines the Purchasing Power Parity (PPP) hypothesis in which the endogenously determined break points are incorporated in thirteen major Middle East and Northern Africa (MENA) countries by using official and black market exchange rates data over 1970-1998. We utilize Lagrange...

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,...