in this section of the journal ,a summary of theses completed at the m.b.a level is presented. the title of these are: 1- the application of technical analysis in selecting common stocks by mr. hasan amiri . 2- determination of factors influencing the capital struture of corporations listed in tehran stock exchange. by mr. omid pourheidari. 3- the adequacy of the stock price index of tehran sto...

Based on the multifractal detrended fluctuation analysis (MF-DFA) and multifractal spectrum analysis, this paper empirically studies the multifractal properties of the Chinese stock index futures market. Using a total of 2,942 ten-minute closing prices, we find that the Chinese stock index futures returns exhibit long-range correlations and multifractality, making the single-scale index insuffi...

This paper examines the relationship between stock returns and inflation. We focus on various econometric techniques to test this relationship, using monthly values of the Athens Stock Exchange Price index and the Greek Consumer Price index over the period 1988-2002. The results from a simple OLS model show evidence of a positive but not significant relationship, while when we consider a system...

With the economic successes of several Asian economies and their increasingly important roles in the global financial market, the prediction of Asian stock markets has becoming a hot research area. As Asian stock markets are highly dynamic and exhibit wide variation, it may more realistic and practical that assumed the stock indexes of Asian stock markets are nonlinear mixture data. In this res...

In this paper the diffusion entropy technique is applied to investigate the scaling behavior of financial markets. The scaling behaviors of four representative stock markets, Dow Jones Industrial Average, Standard&Poor 500, Heng Seng Index, and Shang Hai Stock Synthetic Index, are almost the same; with the scale-invariance exponents all in the interval 1⁄20:92; 0:95 . We also estimate the local...

The hidden Markov model (HMM) is typically used to predict the hidden regimes of observation data. Therefore, this model finds applications in many different areas, such as speech recognition systems, computational molecular biology and financial market predictions. In this paper, we use HMM for stock selection. We first use HMM to make monthly regime predictions for the four macroeconomic vari...

The paper investigates the relationship between the stock market and the monetary policy of the Federal Reserve in the last twenty years. To this purpose we construct an Index of Stock Price Misalignment in which the fundamental value of the stocks is computed on the basis of the discounted cash flow approach and we then include this index, among the regressors, into a forward looking Taylor ru...

Most procedures for modeling and forecasting financial asset return volatilities rely on restrictive and complicated parametric GARCH or stochastic volatility models. The method of realized volatility constructed from high-frequency intraday returns is an alternative choice for volatility measurement. In this paper we make an empirical analysis on Chinese stock index data by using the method of...

Based on the tick-by-tick stock prices from the German and American stock markets, we study the statistical properties of the distribution of the individual stocks and the index returns in highly collective and noisy intervals of trading, separately. We show that periods characterized by the strong inter-stock couplings can be associated with the distributions of index fluctuations which reveal...