Forecasting financial markets is an important issue in finance area and research studies. On one hand, the importance of prediction, and on the other hand, its complexity, have led to huge number of researches which have proposed many forecasting methods in this area. In this study, we propose a hybrid model including Wavelet Transform, ARMA-GARCH and Artificial Neural Network (ANN) for single-...

since the 1970s, services marketing has grown into a major sub discipline of marketing. it is constantly claimed – but is refuted in the article – that services are now the dominant economic activity in developed countries and keeps growing while the two traditional goods sectors, manufacturing and agriculture, are declining. in today's competitive world, having expertise, knowledge and ma...

herd behavior by investors in capital markets is a behavioral bias that can cause to undesirable effects such as bubble, crash and high fluctuation in stock price. this anomalies can disturb the equilibrium relations in stock market and lead to market inefficiency. herd behavior is a condition that investors with rational or in rational reasons ignore private information and imitate from others...

in this paper using catastrophe theory, we investigate non-smooth changes in tehran stock exchange. stock market crashes bring not only panic among investors, but also in deeper market lead to recession and decrease in consumer's confidence. as catastrophe theory is strong tool in explaining nonlinear phenomena, by applying stochastic cusp catastrophe model we examine sudden change in tehr...

explanation relation between risk and return and capital asset pricing are concepts which is appointed as dominator and major paradigms in capital markets. so far as after offering capm by sharp & lintner, this model has been revised and criticized frequently. in this paper another version of capm has been tested versus traditional capm in tehran stock exchange. this version of capm measures se...

How the investors react to the received information plays a crucial role in determining the return of stock exchange market. Supply and demand based upon incorrect decisions lead to the price deviation of inherent values. This paper aims to study the impact of salience phenomenon on disproportionate pricing and investor overreaction in the corporates in Tehran stock exchange. Research methodolo...

The past few years have witnessed a growing rate of attraction in adoption of Artificial Intelligence (AI) techniques and combining them to improve forecasting accuracy in different fields. Besides, stock market forecasting has always been a subject of interest for most investors and professional analysts. Stock market forecasting is a tough problem because of the uncertainties involved in the ...

Although gold is no longer a central cornerstone of the international monetary and financial system, it still attracts considerable attention from researchers and investors. Nowadays, many investors manage their risk with valuable assets such as gold. This paper examines the dynamic relationships between gold and stock markets in the Tehran Stock Exchange. We have applied the Markov switching m...