This paper is an attempt to investigate the dynamic relationship between U.S. and Indian stock markets through the conditional volatility of two stock markets, during the 1995-2007 period, using the monthly data of BSE listed BSE 100 and NYSE listed S & P 500 indices. The research methodology...

Fractal Analysis assesses the fractal characteristics of data. It consists of several methods to assign a fractal dimension and other fractal characteristics in a data set which may be a theoretical data set or a pattern of signals extracted from phenomena including natural geometric objects,...

In this paper we come up with an alternate theoretical proof for the independence and unbiased property of extreme value robust volatility estimator with respect to the standard robust volatility estimator as proposed in the paper by Muneer & Maheswaran (2018b). We show that the robust...

This article investigates whether or not the Nepalese stock market is efficient in weak form with respect to economically neutral behavioural variables. Simple OLS technique with White's heteroskedasticity-corrected standard errors is used to test the relationship between stock returns and...

This study examined the relationship between the board characteristics and stock performance of commercial banks. Our analysis is based on a sample of 65 banks across 10 MENA countries and their quantitative data extracted between 2013 and 2022. This research employed pooled OLS, and fixed and...

This study assesses the influence of error distributional assumption on appearance or disappearance of day-of-the-week effects in returns and volatility using the Nigerian stock exchange (NSE-30). The Gaussian, Student-t, and the Generalized error distribution were incorporated in the GARCH...

A long literature argues corporate managers learn from stock prices, but organizations’ learning process is challenging to observe. We present a novel test using firm-level readership of financial media articles as a manifestation of managerial learning. We hypothesize that reading financial...