Browsing by Author "Chalissery, Neenu"
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A bibliometric analysis of socially responsible investment based on thematic clustering
Chalissery, Neenu; Tabash, Mosab I.; Nishad T, Mohamed; Saleh Al-Faryan, Mamdouh Abdulaziz (Cogent OA, 2023)Recently, scholarly interest in Socially Responsible Investment has increased significantly, and it is now regarded as one of the most important fields in business and strategy literature. The growth of socially conscious ... -
Does the Investor’s Trading Experience Reduce Susceptibility to Heuristic-Driven Biases? The Moderating Role of Personality Traits
Chalissery, Neenu; Tabash, Mosab; Nishad, T. Mohamed; Aburezeq, Ibtehal M.; Daniel, Linda Nalini (Multidisciplinary Digital Publishing Institute (MDPI), 2023-07)The aim of this study was to evaluate whether trading experience reduces exposure to heuristic-driven biases, namely availability bias, anchoring and adjustments bias, representativeness bias, and confirmation biases of ... -
Mapping the Trend, Application and Forecasting Performance of Asymmetric GARCH Models: A Review Based on Bibliometric Analysis
Chalissery, Neenu; Anagreh, Suhaib; Nishad T, Mohamed; Tabash, Mosab I. (MDPI, 2022)The past few years have witnessed renewed interest in modelling and forecasting asymmetry in financial time series using a variety of approaches. The most intriguing of these strategies is the “asymmetric” or “leverage” ... -
Modeling asymmetric volatility of financial assets using univariate GARCH models: An Indian perspective
Chalissery, Neenu; Tabash, Mosab; Nishad, Mohamed T.; Rahrouh, Maha (LLC CPC Business Perspectives, 2022)In recent years, numerous models with various amounts of variance have been developed to estimate and forecast important characteristics of time series data. While there are many studies on asymmetric volatility and accuracy ... -
Modeling asymmetric volatility of financial assets using univariate GARCH models: An Indian perspective
Chalissery, Neenu; Tabash, Mosab I.; Nishad, Mohamed T.; Rahrouh, Maha (LLC CPC Business Perspectives, 2022)In recent years, numerous models with various amounts of variance have been developed to estimate and forecast important characteristics of time series data. While there are many studies on asymmetric volatility and accuracy ...