one of the capital market financial instruments, especially in islamic countries, is sukuk or islamic securities. sukuk is based on islamic law. different types of sukuk are available for different economic situations of countries and different investors. one type of sukuk is mozare'e which is the subject of this research. to do this, we have used financial indices of crops to compare moza...

We investigate the fluctuation behaviors of financial stock markets by Zipf analysis. In the present paper, the empirical research is made to describe ensembles and specifics of stock price returns for global stock indices, and the corresponding Zipf distributions are given. First we study the fluctuation behavior of global stock markets by m, k -Zipf method. Then we consider a dynamic stock pr...

In this study, a novel adaptive learning algorithm for feed-forward network based on optimized instantaneous learning rates is proposed to predict stock market movements. In this new algorithm, the optimized adaptive learning rates are used to adjust the weight changes dynamically. For illustration and testing purposes the proposed algorithm is applied to two main stock price indices: S&P 500 a...

We investigate the risk-return relation in international stock markets using realized variance constructed from MSCI (Morgan Stanley Capital International) daily stock price indices. In contrast with the capital asset pricing model, realized variance by itself provides negligible information about future excess stock market returns; however, we uncover a positive and significant risk-return tra...

The use of intelligent systems for stock market predictions has been widely established. In this paper, we investigate how the seemingly chaotic behavior of stock markets could be well represented using Flexible Neural Tree (FNT) ensemble technique. We considered the Nasdaq-100 index of Nasdaq Stock Market and the S&P CNX NIFTY stock index. We analyzed 7-year Nasdaq-100 main index values and 4y...

The use of intelligent systems for stock market predictions has been widely established. In this paper, we investigate how the seemingly chaotic behavior of stock markets could be well represented using several connectionist paradigms and soft computing techniques. To demonstrate the different techniques, we considered Nasdaq-100 index of Nasdaq Stock Market and the S&P CNX NIFTY stock index. W...