The aim of this study is to investigate a behavioral approach by anchoring bias as a criterion to explain 52-week-high strategy and trough this we can find an explain for momentum strategy at uncertainty situation, to the companies listed on the Tehran Stock Exchange. The information uncertainty criteria include the book value to market value (BV / MV), company age (Age), the size of the entity...

The present research aims to evaluate impacts of crude oil price return index, Bloomberg Petroleum Index and Bloomberg energy index on stock market returns of 121 companies listed in Tehran stock exchange in a 10 years' period from early 2006 to April 2016. First, explanatory variables were aligned with petroleum products index mostly due to application of dollar data. Subsequently, to check va...

T his study examines how oil price shocks interact with the stock market index within a nonlinear autoregressive distributed lag model in Iran. Based on quarterly data for the period from 1991 to 2017, the findings revealed statistically significant evidence of short-run and long-run asymmetric behavior of stock market index in response to the positive a...

This paper investigates the relationship between aggregate stock market trading volume and the serial correlation of daily stock returns. For both stock indexes and individual large stocks, the first-order daily return autocorrelation tends to decline with volume. The paper explains this phenomenon using a model in which risk-averse "market makers" accommodate buying or selling pressure from "l...

a r t i c l e i n f o JEL classification: E31 E44 E52 Keywords: Monetary policy rule Nonlinear model Stock market Structural break Time-varying coefficient This paper introduces nonlinearity and a structural break to the US forward-looking Taylor rule with a stock price gap, thereby alleviating the robustness problem that the linear Taylor rule is sensitive to minor changes of the sample period...

The stock market has always been an attractive area for researchers since no method has been found yet to predict the stock price behavior precisely. Due to its high rate of uncertainty and volatility, it carries a higher risk than any other investment area, thus the stock price behavior is difficult to simulation. This paper presents a “data mining-based evolutionary fuzzy expert system” (DEFE...

This paper employs a general non-linear analysis tool to analyse the nature of time series associated with the price (returns) of a particular company in Tehran Stock Exchange. It is shown that the behavior of the process associated with the price (returns) time-series of this company is weakly chaotic, and due to the non-random behavior of the process, short term prediction of stock price is p...

S tock returns of companies listed on the stock exchange is one of the most important criteria in assessing the macroeconomic. This study investigates the effect of exchange rate Volatility on the stock exchange Returns of D8 countries. It takes monthly data during the period (2008:1-2015:6) constituting 90 observations. At first we used Panel-GARCH model to estimate Exchange Rate Vo...