What Causes Persistence of Stock Return Volatility? One Possible Explanation with an Artificial Stock Market
نویسنده
چکیده
This paper explores the mechanism on how the persistence of the stock return volatility is created using a model of an agent-based stock market. First, artificial stock markets with different learning mechanisms, i.e., individual and social learning are examined. The simulation result shows that a social learning economy produces persistence of return volatility while an individual learning economy does not. Then, more importantly, the relation between agents’ behavior and return volatility dynamics is investigated.
منابع مشابه
Dynamic Linkages between Exchange Rates and Stock Prices: Evidence from Iran and South Korea
The main purpose of present study is to analyze the relationship between stock and exchange markets in two Asian countries, Iran and South Korea. A monthly time series of stock price and exchange rate are used over the period 2002: 05 - 2012: 03. The data is collected from the Central Bank of each country and WDI. The calculated stock return and real exchange rate change are used in analysis....
متن کاملVolatility Spillover of the Exchange Rate and the Global Economy on Iran Stock Market
Financial markets are one of the most fundamental markets in any country. In the financial markets, the securities market and the foreign exchange market are sensitive sectors. These two markets are affected by fluctuations and economic cycles so reflect economic changes rapidly. Changes in the returns of one market due to arbitrage conditions during time lead to changes in the returns of other...
متن کاملModeling Stock Return Volatility Using Symmetric and Asymmetric Nonlinear State Space Models: Case of Tehran Stock Market
Volatility is a measure of uncertainty that plays a central role in financial theory, risk management, and pricing authority. Turbulence is the conditional variance of changes in asset prices that is not directly observable and is considered a hidden variable that is indirectly calculated using some approximations. To do this, two general approaches are presented in the literature of financial ...
متن کاملHas Tehran Stock Market Calmed Down after Global Financial Crisis?Markov Switching GARCH Approach
We have introduced an early warning system for volatility regimes regarding Tehran Stock Exchange using Markov Switching GARCH approach. We have examined whether Tehran Stock Market has calmed down or more specifically, whether the surge in volatility during 2007-2010 global financial crises still affects stock return volatility in Iran. Doing so, we have used a regime switching GARCH model. ...
متن کاملModeling Stock Market Volatility Using Univariate GARCH Models: Evidence from Bangladesh
This paper investigates the nature of volatility characteristics of stock returns in the Bangladesh stock markets employing daily all share price index return data of Dhaka Stock Exchange (DSE) and Chittagong Stock Exchange (CSE) from 02 January 1993 to 27 January 2013 and 01 January 2004 to 20 August 2015 respectively. Furthermore, the study explores the adequate volatility model for the stoc...
متن کامل