Paper Contents
Abstract
ETFs are exchange-traded funds, which are an increasingly popular investment vehicle that builds a diversified portfolio of investment assets. We empirically analyze the volatility and return spillovers between exchange-traded funds (ETF) and the corresponding Indian benchmark indices. Data were collected between January 2014 and March 2023. The results were obtained by using the EGARCH model. This analysis provides valuable information for investors interested in investing in ETFs as it can help them make informed decisions based on the historical performance of different ETFs. The return for QNIFTY is higher, and investors willing to make a profit in ETF trading can look for this pair of ETFs and suggest avoiding LIQUID BEES, as this has given a higher negative return, and QUANTUM GOLD found a higher standard deviation for investors to take high risk.
Copyright
Copyright © 2023 Dinesh K. This is an open access article distributed under the Creative Commons Attribution License.
