Securities Transaction Taxes have received much attention over the last few years with countries and global organizations trying to control the level of speculations, especially since the Global Financial Crisis. This study examines the impact of an increase in the level of securities...

This study is an attempt to review the theory and applications of autoregressive fractionally integrated moving average (ARFIMA) and fractionally integrated generalized autoregressive conditional heteroskedasticity (FIGARCH) models, mainly for the purpose of the description of the observed...

During the recent decades, neural network models have been focused upon by researchers due to their more real performance and on this basis different types of these models have been used in forecasting. Now, there is this question that which kind of these models has more explanatory power in...

This paper examines the short-term price reactions after one-day abnormal price changes on the Ukrainian stock market. The original method of abnormal returns calculation is examined. We find significant evidence of overreactions using the daily data over the period 2008-2012. Our analysis...

Never has the issue of sovereign credit ratings attracted such an interest by policy and opinion makers, bankers and journalists, or even the public opinion, as witnessed in the last couple of years. In spite of being accused of contributing to the instability of financial markets, credit rating...

The credit rating agencies in the sphere of international finance and the global economy in general perform an important information function. Nevertheless, their activity has been largely discredited recently due to the big number of internal and external factors. Without claiming to solve all...

Forward exchange rate bias explanation generally falls into two categories – assumption of rational expectation resulting in a risk premium and expectation errors which is systematic. The paper tests the bias in the Indian forward exchange markets using one-month and three month forward...

Long memory in variance or volatility refers to a slow hyperbolic decay in auto-correlation functions of the squared or log-squared returns. GARCH models extensively used in empirical analysis do not account for long memory in volatility. The present paper examines the issue of long memory in...

The paper examines the long memory in stock returns of emerging markets. Unlike earlier studies, present study carries out a biased reduced semi-parametric test to detect long memory in mean process and uses diverse and updated data set. The test results finds no strong evidence of long memory...

The monetary unit assumption of financial accounting assumes a stable currency (i.e., constant purchasing power over time). Yet, even during periods of low inflation or deflation, nominal financial statements violate this assumption. I posit that, while the effects of inflation are not...