Employing the dataset of WTI oil spot price and stock price index in China Brazil, India, US, German, France, UK and Japan, this paper obtains five subinterval of whole sample range through a nonparametric multiple change point algorithms. Furthermore, it analyses dependence between oil spot price and stock price index through copula model and computes the value of VaR and ES based on simulatio...

Stock market prediction is important and of great interest because successful prediction of stock prices may promise attractive benefits. These tasks are highly complicated and very difficult. In this paper, we investigate the predictability of stock market return with Adaptive Network-Based Fuzzy Inference System (ANFIS). The objective of this study is to determine whether an ANFIS algorithm i...

Mobile commerce can be simply defined as conducting business activities over mobile terminals. It is the combination of electronic and mobile commerce performed over mobile terminals such as mobile phones, laptops, portable digital assistants (PDA), etc. Typical services include mobile banking, mobile shopping, mobile stock trading, mobile auction etc. It is widely regarded as an important inno...

Using the multivariate quantile autoregression technique, we examine how equity returns of Islamic and conventional banks are affected by shocks to major financial indices such as DJUSI index, MSCI World Index, VIX index United States 10-years Treasury bond interest rate. We compare stability two banking systems risk spillovers at global regional levels based on data from 16 countries for perio...

Stock price prediction is an important and challenging problem in stock market analysis. Existing prediction methods either exploit autocorrelation of stock price and its correlation with the supply and demand of stock, or explore predictive indictors exogenous to stock market. In this paper, using transaction record of stocks with identifier of traders, we introduce an index to characterize ma...

This study explores the interaction between innovations and financial markets using newly available data of China that present significant geographic variations in economic development. Empirical evidence suggests that provincial banking development encourages local innovations, and provincial intellectual property (IP) protection raises the market values of local firms. Firmlevel innovations l...

the goal of this research is to predict total stock market index of tehran stock exchange, using the compound method of arima and neural network in order for the active participations of finance market as well as macro decision makers to be able to predict trend of the market. first, the series of price index was decomposed by wavelet transform, then the smooth's series  predicted by using...