The capital market in each country is considered as the most important part of the economy and its fluctuations may reflect the economic situation of the country. In this paper, the hypothesis of convergence of stock market price indices in Asian countries during the period from January 2007 to February 2017 is investigated using cluster analysis method. The results show that there is no eviden...

The study investigates the effect of macroeconomic determinants on the performance of the Indian Stock Market using monthly data over the period January 1991 to December 2011 for eight macroeconomic variables, namely, Interest Rate, Inflation, Exchange Rate, Index of Industrial Production, Money Supply, Gold Price, Silver Price & Oil Price, and two stock market indices namely Sensex and S&P CNX...

Objective: In general, financial time series such as stock indexes have nonlinear, mutable and noisy behavior. Structural and statistical models and machine learning-based models are often unable to accurately predict series with such a behavior. Accordingly, the aim of the present study is to present a new hybrid model using the advantages of the GMDH method and Non-dominated Sorting Genetic A...

This paper employs a bivaraite vector autoregressive-generalized autoregressive conditional heteroscedasticity (VAR-GARCH) model recently developed by Ling and McAleer (2003) to examine the impact of oil price fluctuations on stock market returns in the Kingdom of Saudi Arabia over the period from January 1, 2007 to December 31, 2011. The proposed model is estimated using maximum likelihood met...

in last 1990 decade and early 21 century due to high fluctuations in assets prices and occurring asset price bubbles, most studies in monetary economics has concentrated on the reaction of monetary policy to movement in asset prices. the purpose of this paper is to analyze the suitable reaction of monetary policy to movement in asset prices in iran. this analysis is based on the structural var ...

We use weekly survey data on short-term and medium-term sentiment of German investors in order to study the causal relationship between investors' mood and subsequent stock price changes. In contrast to extant literature for other countries, a tri-variate vector autoregression for short-run sentiment, medium-run sentiment and stock index returns allows to reject exogeneity of returns. Depending...

in this paper, we have estimated the memory of thetehran stock exchange indices. the estimation of fractional differencing parameter is carried out by various methods such as mle, nls, hurst exponent, gph, lo, whittle and wavelet. the estimation results of whittle, wavelet, hurst, and lo methods allow us to conclude that the returns on stock indices (tepix, tedpix, tedix, financial index and in...

The objective of this research work is to show the relevance asymmetries in estimating volatility. methodology consists application ARCH-type models and implied volatilities options (IV) estimate Value-at-Risk (VaR). These for a portfolio stock index futures various time horizons. empirical analysis carried out contracts Standard Poors 500 Mexican Stock Exchange Indices. According results, IV m...