Stock markets strive to provide an efficient trading platform for investors. Trading rules and mechanisms issued to accomplish this differ among stock markets, and are subject to modification over time. Furthermore, market participants assume a broad range of roles and trading strategies. Such variation poses problems to those involved in the study of market dynamics, when developing an artific...

As the global financial crisis dethrones the developed world from its economic supremacy, by leading the global economic recovery and growth, the global growth generator (3G) countries are expected to fill the vacuum. Capital market i.e. stock market development can play a crucial role in augmenting such growth in these 3G countries. This study aims at augmenting the determinants of stock marke...

phenomenon of price manipulation is one of the factors which have caused mistrust of the investors to the stock market and inhibits its growth and prosperity. entering the shareholders into the stock market, on one hand leads to increase in the general level of revenues and on the other hand causes inexpensive financing for companies. in this research, at first by using duration dependence test...

to achieve the optimal model for capital asset pricing has always been a central issue in studies of the financial field. in this study we consider fama and french three-factor model augmented by the pastor and stambaugh (2003) liquidity risk factor. unlike most previous studies in this model, stock level beta is allowed to vary with firm-level size and book-to-market value. to verify the above...

In order to forecast the stock market more accurately, according to the dynamic property for the stock market, propose the real time modeling forecast via dynamic recurrent neural network and use GA to study online, then it improves the network performance and better describes the dynamic characteristic of stock market. By forecasting Shanghai negotiable securities index, it shows better validi...

The objective of this study is to examine the effect of prevailing market sentiments in real estate markets on the stock market response to the outcomes of real estate auctions in Hong Kong. The reactions of stock market to the winners of the auctions have at least two interesting implications. On one hand, the success in acquiring a real estate implies that the developer has acquired a project...

We study the effect that a general lack of trust can have on stock market participation. In deciding whether to buy stocks, investors factor in the risk of being cheated. The perception of this risk is a function of the objective characteristics of the stocks and the subjective characteristics of the investor. Less trusting individuals are less likely to buy stock and, conditional on buying sto...

This paper presents a tuturial introduction to predictions of stock time series. The various approaches of technical and fundamental analysis is presented and the prediction problem is formulated as a special case of inductive learning. The problems with performance evaluation of near-random-walk processes are illustrated with examples together with guidelines for avoiding the risk of data-snoo...

Anomaly is an incident or event that cannot be explained by the dominant theories. Anomalies are situated in confronting with the efficient market theory, so that it provides conditions for stock trading strategies with additional returns in case of existing predetermined returns. Therefore, in this study, the anomaly due to monthly effects on the stock volume trading and the Tehran Stock Excha...

Which pricing kernel restrictions are needed to make low dimensional Markov models consistent with given sets of predictions on aggregate stock-market fluctuations ? This paper develops theoretical test conditions addressing this and related reverse engineering issues arising within a fairly general class of long-lived asset pricing models. These conditions solely affect the first primitives of...