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 analysis the interdependence between foreign exchange markets and stock markets for selected accession and cohesion countries is discussed. This includes basic theoretical approaches. Monthly data for the nominal stock market indices and nominal exchange rates are used, where Ireland, Portugal, Spain, Greece, Poland, Czech Republic, Slovenia, and Hungary are included in the analysis. Fr...

information is the most valuable property in stock exchange market in such a way that the more investors are informed, the better they can succeed in the market. sometimes, in such circumstances, because of a great gap between the management and the ownership in the big public companies, administrators of these companies find themseleves in a better informational situation in comparison with th...

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...

this paper presents a framework for long term transmission expansion planning in competitive, electricity markets. transmission lines and phase shifters are taken into account as expansion options. maximization of the network users' benefits, with satisfying security constraints are considered as the criterion for transmission expansion planning. the elements of the objective function are the...

• Amihud, Mendelson and Murgia (1990) studied the impact of the stock market microstructure on return volatility and on the value discovery process in the Milan Stock Exchange; the primary trading mechanism employed by this exchange is a call market, which is usually preceded and followed by trading in a continuous market. They found that the opening transaction in the continuous market had the...

Stock market prediction is important and of great interest because successful prediction of stock prices may promise attractive benefits. These tasks are highly complicated and very difficult. In this paper, we investigate the predictability of stock market return with Adaptive Network-Based Fuzzy Inference System (ANFIS). The objective of this study is to determine whether an ANFIS algorithm i...

This thesis develops and analyzes an algorithm to compute equilibrium prices for a Fisher market in which the buyer utilities are given by spending constraint functions, utility functions originally defined by Devanur and Vazirani [5]. Vazirani gave a weakly polynomial time algorithm to compute the equilibrium prices [10]. More recently Végh gave a strongly polynomial algorithm [11]. Here we pr...