Investigating Chaos in Tehran Stock Exchange Index

Authors: not saved
Abstract:

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 models are efficient enough and suitable for short time forecasting. So notable attempts is devoted on understanding different economic time series’ and nonlinear dynamical models that can fit them. In this paper, it is tried to investigate Tehran stock exchange index time series. It is assumed. So, the Correlation Dimension (CD), the Hurst Exponent, and the Largest Lyapunov Exponent (LLE) of the time series are calculated. It is shown that the time series corresponding to Tehran stock Exchange index is nonlinear. The analyses of the results show enough evidence to accept the conjecture of existence chaotic behavior in Tehran stock exchange index.

Upgrade to premium to download articles

Sign up to access the full text

Already have an account?login

similar resources

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 ...

full text

Statistical analysis of the price index of Tehran Stock Exchange

This paper presents a statistical analysis of Tehran Price Index (TePIx) for the period of 1992 to 2004. The results present asymmetric property of the return distribution which tends to the right hand of the mean. Also the return distribution can be fitted by a stable Lévy distribution and the tails are very fatter than the gaussian distribution. We estimate the tail index of the TePIx returns...

full text

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...

full text

Abrupt Changes in Volatility: Evidence from TEPIX Index in Tehran Stock Exchange

In this paper, we have examined abrupt changes in volatility of TEPIX index in Tehran stock exchange during August 23, 2010 to June 12, 2014. Applying the iterated cumulative sum of squares (ICSS) algorithm proposed by Inclan and Tiao (1994) and the modified version of this algorithm consisting Kappa 1 and Kappa 2 test statistics developed by Sansó et al. (2004), we have specified that the dete...

full text

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...

full text

My Resources

Save resource for easier access later

Save to my library Already added to my library

{@ msg_add @}


Journal title

volume 12  issue 18

pages  103- 120

publication date 2007-01-01

By following a journal you will be notified via email when a new issue of this journal is published.

Keywords

Hosted on Doprax cloud platform doprax.com

copyright © 2015-2023