In this article, we are investigating the effects of macroeconomic variables in terms of natural logarithmic yearly returns of general government revenues and general government total expenditures of Greece. We have applied a Vector Error Correction model, (VEC) a Granger causality and Johansen...

This book covers the basic principles of mutual fund industry. It aims or helps the readers to distinguish between open-end and closed-end mutual fund. Then, it introduces the reader to the various risk measurement that are used to measure the variability from the average. A review of the...

his paper examines the monthly interrelation of option volume and price return for actively traded Frankfurt Stock Exchange stocks and their European Derivatives Exchange traded options during the trading period of May to August 2002. The purpose is to investigate whether microfinance...

In this article, we have tested the volatility of the returns of the spot exchange rate of GBP/USD for changing conditional variances. Generalized autoregressive conditional heteroskedastic models, GARCH, threshold generalized autoregressive conditional heteroskedastic models, (TGARCH), and...

In this article, we have tested the volatility of the returns of the spot exchange rate of AUD/USD for changing conditional variances by using a log likelihood model. Generalized autoregressive conditional heteroskedastic models, (GARCH) with t-distributed errors, and exponential generalized...

In this article, we are investigating the effects of the macroeconomic variables. We have applied a Quantile regression, (including LAD), in EViews 6 to test the quantile of the natural logarithmic returns of the seasonally adjusted money supply, (M2) on the natural logarithmic returns of the...

In this article, we have applied an autoregressive moving average, ARMA(2,2) model of order AR(1), AR(2), MA(1), MA(2) and SMA(12) to test the natural logarithmic monthly market returns of the of the closed – end funds of major investment banks such as Van Kampen income trust, Aberden Asia...

Autoregressive Conditional Heteroskedastic models (ARCH), and Generalized Autoregressive Conditional Heteroskedastic models, (GARCH) take into account the non-linearity that arises in the financial time series. Well known anomalies such as the calendar effects, January effect and seasonality's...