OBJECTIVE This study aims to discuss the correlation between daily reported H7N9 cases and stock price indices in China. METHODS Information on daily reported H7N9 cases and stock market sectors indices between February 19, 2013 and March 31, 2014 were collected. A distributed lag non-linear model was used to describe the variation trend for the stock indices. RESULTS The daily reported num...

During the past two years, Chinese joint-stock companies have been converting nontradable stock held by the state and state-controlled institutions, which constitute twothirds of all stock in Chinese firms, into stock that can trade on local exchanges. This ownership reform reduces direct state control over industrial enterprises. It also greatly increases the supply of stock, which threatens t...

Stock market prediction is regarded as a challenging task in financial time-series forecasting. The central idea to successful stock market prediction is achieving best results using minimum required input data and the least complex stock market model. To achieve these purposes this article presents an integrated approach based on genetic fuzzy systems (GFS) and artificial neural networks (ANN)...

The purpose of this paper is the empirically examination of the effect of the Institutional Quality Components (Voice and Accountability, political stability and Absence of Violence and Terrorism, government effectiveness, regulatory quality, rule of law and control of corruption) on the prediction of total stock price index. The study was carried out using data extracted from 53 countries from...

This paper examines how and why stock price synchronicity responds to accounting restatements in China. Using a matching sample, we document that accounting restatements drive down price synchronicity. A set of regression analyses show that the declined price synchronicity reflects the increased firm-level noise/uncertainty rather than firm-level information. Further investigations with PIN and...

We extend the fundamental theorem of asset pricing to a model where the risky stock is subject to proportional transaction costs in the form of bid-ask spreads and the bank account has different interest rates for borrowing and lending. We show that such a model is free of arbitrage if and only if one can embed in it a friction-free model that is itself free of arbitrage, in the sense that ther...

In the business sector, it has always been a difficult task to predict the exact daily price of the stock market index; hence, there is a great deal of research being conducted regarding the prediction of the direction of stock price index movement. Many factors such as political events, general economic conditions, and traders' expectations may have an influence on the stock market index. Ther...

Put options are commonly used in the stock market to protect against the decline of the price of a stock below a specified price. On the other hand, finite difference approach is a well-known and well-resulted numerical scheme for financial differential equations. As such in this work, a new spatial discretization based on finite difference semi-discretization procedure with high order of accur...

The most common starting point for investors when buying a stock is to look at the trend of price changes. In recent years, different models have been used to predict stock prices by researchers, and since artificial intelligence techniques, including neural networks, genetic algorithms and fuzzy logic, have achieved successful re-sults in solving complex problems; in this regard, more exploita...