Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Book Chapter Book Chapter Faculty Publications- Book Chapter Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Does the cryptocurrency index provide diversification opportunities with MSCI world index and MSCI emerging markets index? Cryptocurrency and portfolio diversificaiton Description An account of the resource The study is extending the ongoing discussion on Bitcoin as a diversification asset with the stock market. Some studies analysed cryptocurrencies as a diversification asset, and few challenged the same. During times of turbulence, it is crucial to gauge further diversification opportunities. Henceforth, the study revisits the opportunities of hedging and diversification with the crypto market from a broader perspective. Markets Index to Bitwise 10 Crypto Index Fund (BITW). The study has contributed methodologically to the existing literature by applying DY with symmetric and asymmetric dynamic conditional volatility models. The results provide in-depth shreds of evidence that BITW is insulated, neither taking volatilities from other countries nor contributing to the volatilities of other countries. The study provides insight to policymakers and investors.The study captures the spillover from MSCI World Index and MSCI Emerging Markets Index to Bitwise 10 Crypto Index Fund (BITW). The study has contributed methodologically to the existing literature by applying DY with symmetric and asymmetric dynamic conditional volatility models. The results provide in-depth shreds of evidence that BITW is insulated, neither taking volatilities from other countries nor contributing to the volatilities of other countries. The study provides insight to policymakers and investors. 2023, IGI Global. All rights reserved. Creator An entity primarily responsible for making the resource Yadav M.P.; Sharma S.; Parmar B. Source A related resource from which the described resource is derived Advanced Machine Learning Algorithms for Complex Financial Applications, pp. 94-114. Publisher An entity responsible for making the resource available IGI Global Date A point or period of time associated with an event in the lifecycle of the resource 2023-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.4018/978-1-6684-4483-2.ch007" target="_blank" rel="noreferrer noopener">https://doi.org/10.4018/978-1-6684-4483-2.ch007</a> <br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85147392584&amp;doi=10.4018%2F978-1-6684-4483-2.ch007&amp;partnerID=40&amp;md5=fe63b9a0cf619e1e8e89fc27db2fc2ef" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85147392584&amp;doi=10.4018%2f978-1-6684-4483-2.ch007&amp;partnerID=40&amp;md5=fe63b9a0cf619e1e8e89fc27db2fc2ef</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 978-166844485-6; 978-166844483-2 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Book chapter Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Yadav M.P., Amity University, India; Sharma S., FIIB Delhi, India; Parmar B., CHRIST University (Deemed), India