This paper aims to analyze the dependence of key macroeconomic variables on Bombay Stock Exchange (BSE) Sensex using regression modelling technique in RStudio. Monthly data points spanning a period from 2012 2019 has been used for empirical investigation. The results model indicate that long-term interest rate (LTINT), consumer price index (CPI), and Morgan Stanley Capital International (MSCI) ...

Prediction of stock market trends has been an area of great interest both to researchers attempting to uncover the information hidden in the stock market data and for those who wish to profit by trading stocks. The extremely nonlinear nature of the stock market data makes it very difficult to design a system that can predict the future direction of the stock market with sufficient accuracy. Thi...

We examine the effects of trading and information flows on the short-run behavior of stock prices by comparing the behavior of stock return volatility during trading and nontrading periods. We define nontrading periods as periods when exchanges and businesses are open but traders endogenously choose not to trade. After correcting for the bid/ask bounce and stickiness in quotes, we find that a l...

This paper uses a simple model of mean-variance capital markets equilibrium with proportional transactions costs to analyze the competition of stock markets for investors. We assume that equity trading is costly and endogenize transactions costs as variables strategically influenced by stock exchanges. Among other things, the model predicts that increasing financial market correlation leads to ...

In this article, we propose a novel application for Support Vector Regression (SVR) for strategies of executing orders on stock exchanges. We use SVR for predicting volume participation function in execution strategies which try to achieve Volume Weighted Average Price (VWAP) measure of quality of the execution. Moreover, we use SVR with a priori knowledge about stock prices in order to further...

Stock exchanges are considered major players in financial sectors of many countries. Most Stockbrokers, who execute stock trade, use technical, fundamental or time series analysis in trying to predict stock prices, so as to advise clients. However, these strategies do not usually guarantee good returns because they guide on trends and not the most likely price. It is therefore necessary to expl...

Understanding the impact of external shocks on stock markets returns and volatility is crucial for market participants as volatility is synonymous with risk. The focus of this paper is to determine whether the US monetary policy decisions influence the stock market returns and volatility in Egypt, Israel, and Turkey. Efficient markets react to new information; hence a greater response would be ...

Dematerialisation of shares is an important milestone in the annals of Indian Capital Markets. Understanding and measuring the impact of it on various segments is necessary since it stirred the microstructure of Indian capital markets in general and stock exchanges in particular. Demand and Supply forces determine prices of a product. Liquidity plays an important role in the interplay of demand...