The current study examines the turn of the month effect on stock returns in 20 countries. This will allow us to explore whether the seasonal patterns usually found in global data; America, Australia, Europe and Asia. Ordinary Least Squares (OLS) is problematic as it leads to unreliable...

In the current study we examine the effects of interest rate changes on common stock returns of Greek banking sector. We examine the Generalized Autoregressive Heteroskedasticity (GARCH) process and an Adaptive Neuro-Fuzzy Inference System (ANFIS). The conclusions of our findings are that the...

This paper studies the well known day of the week effect in stock returns. Specifically, fifty five stock market indices from fifty one countries are examined with asymmetric GARCH models. The results are mixed, as the Monday effect is reported in nine indices, while in other ten indices Friday...

In this paper we propose and examine new approaches in smoothing transition autoregressive (STAR) models. Firstly, a new STAR function is proposed, which is the hyperbolic tangent sigmoid function. Secondly, we propose Feed-Forward Neural Networks Smoothing Transition Autoregressive (FFNN-STAR)...

This paper presents a programming routine in MATLAB software for applications in calendar effects or anomalies in stock returns. The calendar effects which are tested is the turn-of-the-month, the day-of-the-Week, the month-of-the-Year and the semi-month effect

This study examines the calendar effects in 55 Stock market exchange indices around the globe. The effects which are examined are the turn-of-the-Month effect, day-of-the-Week effect, Month-of the-Year effect and semi-Month effect. The methodology followed is the test hypothesis with bootstrap...

This paper examines the well know day of the week effect on stock returns. Various approaches have been developed and applied in order to examine calendar effects in stock returns and to formulate appropriate financial and risk portfolios. We propose an alternative approach in the estimation of...

In this paper we examine four different approaches in trading rules for stock returns. More specifically we examine the popular procedures in technical analysis, which are the moving average and the Moving Average Convergence-Divergence (MACD) oscillator. The third approach is the simple random...