Directional bets by short sellers typically forecast future returns, but direct evidence of how other investors acquire information from these bets is nearly nonexistent. Using granular data on the entire Brazilian OTC security lending market and all trades in the Brazilian stock exchange, we...

Over the last we have witnessed sweeping changes in trading systems all over the world. Those changes provided academics with an opportunity to look into the microstructure of different markets. Most empirical work in the area has concentrated on comparing changes in liquidity, volatility,...

The absence of liquidity in the stock market causes uneasiness in the market. Proper trading strategies are devised when liquidity is present making the magnitude of returns determinable. The study investigated stock market liquidity levels for the Zimbabwe Stock Exchange during the pre-Covid...

This monograph presents the foundations of the probabilistic theory of stock exchanges, built on the basis of probabilistic economic theory. Analytical and numerical methods of this theory are used for calculation of temporal dynamics of market prices and trade volumes of various assets on the...

This article analyses the relationship between the volatility and sensitivity measures determined based on accounting profitability ratios and those calculated based on rates of return of public corporations from DJIA. The study employed downside and symmetric risk measures. The average...

Using a unique dataset, we examine financial performance, and venture capital (VC) involvement in 167 MBOs exiting through IPOs (MBO-IPOs) on the London Stock Exchange, during the period 1964 -1997. VC backed MBOs seem to be more under-priced than MBOs without venture capital backing, based on...

Purpose- The-Study has aim to investigate how different board diversity attributes like age, gender, education and experience effect on firm-performance of non-financial-firms that is listed in Pakistan-stock exchange (PXS).Design/methodology/approach- A total of 100 non-financial firms listed...

Investors and automated traders use firm data to make financial decisions. Computers occasionally misunderstand text due to the intricacy and ambiguity of natural language. Machine learning mitigates some of the drawbacks of traditional approaches. To automatically extract information from input...

This paper examines the stock market reaction to the granting of listing rule waivers by the Australian Securities Exchange. I find that waivers convey significant news to the market and increase information asymmetry between investors. I further find negative abnormal returns around the...

The Indian economy today is passing through a process of crucial change. After more than 15 years of reforms dubbed as LPG (Liberalization Privatization Globalization), the GDP is growing at 9% and the disparities among the regions and income are also increasing, the dual economy rules and...