We propose a model of coupled random walks for stock-stock correlations. The walks in the model are coupled via a mechanism that the displacement (price change) of each walk (stock) is activated by the price gradients over some underlying network. We assume that the network has two underlying structures, describing the correlations among the stocks of the whole market and among those within ind...

The purpose of this study is to optimize the stock price forecasting model with meta-innovation method in pharmaceutical companies.In this research, stock portfolio optimization has been done in two separate phases.The first phase is related to forecasting stock futures based on past stock information, which is forecasting the stock price using artificial neural network.The neural network used ...

Stock return is usually considered to be affected by firm’s financial ratios as well as economic variables. Fundamental method assume that stock returns is not solely related to the stock market. Most result come from the company condition , industry situation and whole economy. In this paper, this relationship between stock return and fundamentals is studied using the data for 22 pharmaceutica...

This paper studies the link between population age structure, net outflows (dividends plus repurchases less net issues) from the stock market, and stock market returns in an overlapping generations framework. I find support for the traditional lifecycle models — the outflows from the stock market are positively correlated with the changes in the fraction of old people (65 and over) and negative...

The problem of stock data analysis has been widely researched by stock analysts interested in detecting patterns in stocks. Resulting algorithms have dealt with many representations of stock data depending on the problem, many dealing with complex cases where patterns in stock data need to be matched despite differences in scale, translation, or noisiness. However, specific instances arise wher...

During 1999-2001 more than 35 million messages about public firms were posted on Yahoo! Finance. This paper examines whether stocks with high posting levels also have unusual subsequent returns and/or risk. They do. Stocks with the highest level of posting have unusually high realized volatility and unusually poor subsequent returns. This remains true after accounting for the effects of the mar...

Stock price crash risk has a significant impact on investors, creditors, managers, and shareholders, so the prediction of this phenomenon is a very important issue in investment and risk management decisions. This research investigates the effect of business strategy and stock price synchronicity on stock price crash risk. Following Bentley et al.[2], composite strategy score has been used to ...

Stock loan is different from the traditional loan, it needs to be collateralized by stock. Fairly valuing stock loan is very important for financial market participants. The main contribution of this paper is to give a valuing method of stock loan in uncertain environment. Under the assumption that the underlying stock price follows an uncertain mean-reverting stock model, the price formulas of...

This paper aims to apply the quantile regression analysis to explore the impacts of the stock market trading value, change in international oil prices, and the US implementation of Quantitative easing monetary policy on Taiwan’s and Korea’s stock index returns. This study is in accordance with the 2008 US implementation of quantitative policy to conduct research on 53-month data collected from ...