• This paper investigates the distribution characteristics of stock market liquidity. • This paper utilizes the GAMLSS model and high-frequency data from Chinese stock markets. • The mean and variance of stock market liquidity move in the opposite directions. • The stock market liquidity normally exhibits a positive skewness. • The stock market liquidity exhibits a normal distribution at a low ...

This paper examines what institutional and bank-specific factors determine bank stock price synchronicity. Using data on 37 countries from 1996-2007, we find that bank stocks are more aligned with the whole market (1) during the financial crisis; (2) in countries that have more credit provided by banks; (3) in countries that do not have explicit depository insurance; and (4) in countries that h...

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...

Current study aims to investigate the impact of institutional governance (GOV), trade openness (TOPEN), real output (RGDP), economic freedom (EFR), inflation rate (INFR) and growth on financial sector development (FSD) selected Asian economies. A consolidated index, representing banking stock market is generated using Principal Component Analysis (PCA). The conducted data analysis by applying p...

There is an old Wall Street adage goes, ‘‘It takes volume to make price move”. The contemporaneous relation between trading volume and stock returns has been studied since stock markets were first opened. Recent researchers such as Wang and Chin [Wang, C. Y., & Chin S. T. (2004). Profitability of return and volume-based investment strategies in China’s stock market. Pacific-Basin Finace Journal...

The use of intelligent systems for stock market predictions has been widely established. This paper deals with the application of hybridized soft computing techniques for automated stock market forecasting and trend analysis. We make use of a neural network for one day ahead stock forecasting and a neuro-fuzzy system for analyzing the trend of the predicted stock values. To demonstrate the prop...