this paper examines regime shifts in tedpix return and volatility and the effects of positive and negative crude oil shocks and gold price fluctuations on stock market shifts behavior using markov switching egarch model with student’s t-distribution. we detect two episodes of series behavior, one relative to low mean/high variance regime namely bear state and the other to high mean/low variance...

economic stabilization is one of the main government objectives in the economy. one of the most destructive and devastating factors that could damage financial markets, are price bubble formations. thus, bubble creation in stock markets can be considered as a result of investor behaviors, because the market prices mainly reflect investor expectations from firm’s future perspectives. the aim of ...

Stock based rewards are often used to motivate high-level managers to take actions to increase the stock price of the fi rm. However, numerous constraints may weaken the perceived link between individual effort and stock price appreciation for many recipients. This study introduces a new construct, stock price expectancy, which we defi ne as individuals’ perceptions of infl uence over their fi ...

A number of research had been carried out to forecast stock price based on technical indicators, which rely purely on historical stock price data. Nevertheless, their performance is not always satisfactory. In this paper, the effect of using hybrid market indicators of technical, fundamental indicators and experts opinion for stock price prediction is examined. Input variables extracted from th...

Numerous empirical studies have examined the relationship between macroeconomic variables and stock returns across different stock markets and time horizons by either outlining the influence of only domestic variables or a few global factors. The aim of this paper is to combine both global and domestic factors and extend this presumed relationship between stock returns and macroeconomic variabl...

Not all stock recommendation changes are equal. In a sample constructed to minimize the impact of confounding news, relatively few analyst recommendation changes are influential in the sense that they impact investors’ beliefs about a firm in a way that could be noticed in that firm’s stock returns. More than one-third of the stock-price reactions to analyst recommendation changes have the wron...

Employing the dataset of WTI oil spot price and stock price index in China Brazil, India, US, German, France, UK and Japan, this paper obtains five subinterval of whole sample range through a nonparametric multiple change point algorithms. Furthermore, it analyses dependence between oil spot price and stock price index through copula model and computes the value of VaR and ES based on simulatio...

The purpose of this study is to optimize the stock price forecasting model with meta-innovation method in pharmaceutical companies.In this research, stock portfolio optimization has been done in two separate phases.The first phase is related to forecasting stock futures based on past stock information, which is forecasting the stock price using artificial neural network.The neural network used ...

according to recent developments of predicting methodsin financial markets, and since the stock price is one of the mostimportant factors for investment decision-making, and its predictioncan play an important role in this field, the aim of this study is toprovide a model to predict the stock price movement with highaccuracy. accordingly, a hybrid model for predicting the stock pricemovement us...