We analyze volatility contagion between the U.S. and Chinese stock markets and international capital markets. The volatility is modeled using: GARCH, TARCH, EGARCH, APARCH, IGARCH, FIGARCH, ACGARCH and GAS models under Gaussian, GED and t-Student distributions. 21,000 intraday observations of...

Purpose: This study focuses on forecasting the price of the most important export crops of vegetables and fruits in Egypt from 2016 to 2030. Design/methodology/approach: The study applied generalized autoregressive conditional heteroskedasticity (GARCH) model and autoregressive integrated moving...

Purpose - The purpose of this research is to study the relationship between exchange rate fluctuations and stock market returns of the seven highest economic performing emerging countries (E7). Design/methodology/approach - The study is conducted using the daily data for exchange rates and stock...

This paper tests the safe-haven property of Bitcoin for South African stocks using Full and Diagonal BEKK-GARCH models. The study uses the Johannesburg stock exchange Top40 index, and bitcoin returns data before COVID-19 (August 2018 to December 2019) and during COVID-19 (January 2020 to June...

The aim of this study is to assess the response of the South African stock market returns to oil price volatility, based on the daily South African stock market index, using the GARCH Copula modelling technique. The results of the analysis show evidence of an asymmetric impact of fluctuations in...

Purpose: The objective of the paper is to highlight the volatility of wind energy production, the renewable source of energy whose output is the most difficult to predict due to its dependence on climatic factors. The present research helps to analyze the risks assumed both by the producers who...

This study aims to predict the ESG (environmental, social, and governance) return volatility based on ESG index data from 26 October 2017 and 31 March 2023 in the case of India. In this study, we utilized GARCH (Generalized Autoregressive Conditional Heteroskedasticity) and LSTM (Long Short-Term...

The significance of digital investment has grown substantially, enabled by advancing technology, which provides digital monitoring of investment instruments. Consequently, analyzing these instruments has become imperative. In particular, investors are inclined to compare new investment...

Since portfolio management relies on the association of portfolio diversification, analyzing the spillover between the United States (US) and Asian-Pacific financial markets has become more critical. If Asian stock markets have low or negative correlations with each other and/or the US market,...