analysing long run memory in tehran stock exchange

Bubbles In Tehran Stock Exchange

Predicting Financial Distress in Tehran Stock Exchange

Companies incur significant costs from the financial distress. Predicting financial distress will have an important role in preventing bankruptcy. The aim of the present study is to predict the financial distress costs using the Leland and Toft models, during 1996 and 1998. This study examines data relating to 49 companies listed in the Tehran stock exchange collected over ten years from 2005 t...

Investigating Chaos in Tehran Stock Exchange Index

Modeling and analysis of future prices has been hot topic for economic analysts in recent years. Traditionally, the complex movements in the prices are usually taken as random or stochastic process. However, they may be produced by a deterministic nonlinear process. Accuracy and efficiency of economic models in the short period forecasting is strategic and crucial for business world. Nonlinear ...

A Long-term Casual Nexus between Stock Price and Dividends: Empirical Evidence from the Accepted Firms in Tehran Stock Exchange

this world; though all the discussions are focused on the causal relationships in allthe scientific arguments. One of the methods to study the designed causal relationshipsobjectively is Granger causality test. This paper aims to investigate the longtermcausal relationship between the stock price and dividends. The statisticalpopulation includes 180 active companies in Stock Exchange of Tehran ...

Evaluating quantitative stock selection strategies in Tehran Stock Exchange

There are different strategies for selecting stocks, and different investors use different strategies according to their risk tolerance or their expected rate of return. In this study, the profitability of a broad range of stock se-lection strategies in Tehran Stock Exchange over the period 1370-1383, has been examined, and it has been investigated whether the successful strategies in other cou...

Long Memory in Stock Returns: A Study of Emerging Markets

The present study aimed at investigating the existence of long memory properties in ten emerging stock markets across the globe. When return series exhibit long memory, it indicates that observed returns are not independent over time. If returns are not independent, past returns can help predict future returns, thereby violating the market efficiency hypothesis. It poses a serious challenge to ...