In this study, 3 models of Time-Varying Parameters (TVP), Dynamic Model Selection (DMS) and Dynamic Model Averaging (DMA) and a comparison with the Ordinary Least Squares (OLS) method in MATLAB in the time period 2003-2013 (with data on a monthly basis) are discussed. In the present study, the variables of unofficial exchange rate changes, interest rate changes and inflation in oil price foreca...

In this study, 3 models of Time-Varying Parameters (TVP), Dynamic Model Selecting (DMS) and Dynamic Model Averaging (DMA) and their comparison via the Ordinary Least Squares (OLS) method in MATLAB in the time period 2003-2013 (monthly) are discussed. In the present study the variables of unofficial exchange rate changes, interest rate changes and inflation oil price forecast returns for stocks ...

The purpose of this study is to compare the impacts of momentum on stock returns of companies listed in Tehran Stock Exchange in different market conditions. For this purpose, the sample size is 120 months from 2008 to 2017. The research hypotheses are estimated using multivariate linear regression using time series method. Based on the results of the hypotheses test, the momentum in each of th...

In this research using theoretical predictions from a real option-based investment framework, the present study aims to examine the effects of stock returns volatilities on changes of working capital accruals of firms. In addition, the moderating effect of variables such as, life cycle and ownership structure on the relationship between stock return volatilities and working capital accruals is ...

The objective of the study is to examine the stock returns variation to specific economic variables by applying multi-factor model developed under Arbitrage Pricing Theory. The variables in the model are descriptive of the market and economic conditions of the country. The study attempts to determine which, if any, of the variables are of use in explaining the variability of stock returns of Pa...

This paper examines the hypothesis that both stock returns and volatility are asymmetrical functions of past information derived from domestic and US stock market news. By employing a double-threshold regression GARCH model to investigate four major index return series, we find significant evidence to sustain the asymmetrical hypothesis of stock returns. Specifically, evidence strongly supports...

The present research proposes an automatic system based on moving average (MA) and fuzzy logic to recognize technical analysis patterns including head and shoulder patterns, triangle patterns and broadening patterns in the Tehran Stock Exchange. The automatic system was used on 38 indicators of Tehran Stock Exchange within the period 2014-2017 in order to evaluate the effectiveness of technical...

We examine the ability of auto industry stock returns to forecast quarterly changes in the growth rates of real GDP, consumption, and investment. We nd that auto stock returns are superior to aggregate stock market returns in predicting growth rates of GDP and various forms of consumption. The superior predictive power of auto returns holds for both in-sample and out-of-sample forecasts and has...