Monthly seasonality in the stock prices returns is among the best known calendar anomalies that affect the capital markets. The knowledge about such calendar patterns could be exploited in building successful investment strategies. However, it was revealed that not all the calendar anomalies...

This paper explores Month-of-the-year effects in returns and in volatilities of the Bucharest Stock Exchange. Our investigation covers two periods: the first one, from January 2000 to January 2006, corresponds to the last stage of Romania’s transition to a capitalist system, while the second...

We compare more than 1000 different volatility models in terms of their fit to the historical ISE-100 Index data and their forecasting performance of the conditional variance in an out-of-sample setting. Exponential GARCH model of Nelson (1991) with “constant mean, t-distribution, one lag...

We develop a GARCH model with autoregressive conditional asymmetry to describe time-series. This means that, in addition to the conditional mean and variance, we assume that the skewness describes the behavior of the time-series. Analytically, we use the methodology proposed by Fernández and...

We develop a GARCH model with autoregressive conditional asymmetry to describe time-series. This means that, in addition to the conditional mean and variance, we assume that the skewness describes the behavior of the time-series. Analytically, we use the methodology proposed by Fernández and...

The recent financial crisis renewed concerns about a possible destabilizing impact of derivatives trading. Despite a very active research, the question whether or not derivatives tend to destabilize financial markets has not yet been answered to satisfaction. This contribution aims to revise the...

Since the seminal work by Engle (1982), the autoregressive conditional heteroscedasticity (ARCH) model has been an important tool for estimating the time-varying volatility as a measure of risk. Numerous extensions of this model have been put forward in the literature. The current paper offers...

The volatility clustering often seen in financial data has increased the interest of researchers in applying good models to measure and forecast stock returns. This paper aims to model the volatility for daily and weekly returns of the Portuguese Stock Index PSI-20. By using simple GARCH,...

In this article we examined and tested the effects of monetary policy driven by Central Bank of Chile over the Chilean stock market’s real returns for monthly data which spans between I.1996 and XII.2006. Based on a theoretical background, we analyzed the monetary policy from the monetarist...

In this study the price, return and volatility behaviour of base metals (aluminium, copper, nickel, lead and zinc) which are traded on Indian commodity exchange - Multi Commodity Exchange (MCX) and International commodity exchange – London Metal Exchange (LME) are analysed. The time period...