Title :- Crypto Currency
\nName: – Palak Khutate
\nLiterature review
\n1.Crypto Crypto currencies and their destinies in the future
\n Crypto Currencies are investigated with regards to their specialties, usage areas and current structures. similarity between Crypto Currencies and Free Banking Era Banknotes is noticed and thus investigated in details.<\/p>\n
2.Efficiency in the markets of crypto-currencies
\n They show that the level of market-efficiency in the five largest cryptocurrencies is highly time-varying. Specifically, before 2017, cryptocurrency-markets are mostly inefficient. This corroborates recent results on the matter. However, the cryptocurrency-markets become more efficient over time in the period 2017\u20132019. This contradicts other, more recent, results on the matter. One reason is that we apply a longer sample than previous studies. Another important reason is that we apply a robust measure of efficiency, being directly able to determine if the efficiency is significant or not. On average, Litecoin is the most efficient cryptocurrency, and Ripple being the least efficient cryptocurrency.<\/p>\n
3.Bitcoin Intelligence \u2013 Business Intelligence meets Crypto Currency
\nBusiness Intelligence (BI), according to Investpedia, refers to the procedural and technical infrastructure that collect, store and analyses the data produced by a field of activities or by an individual company. BI is meant to take in all the data being generated by a business and present easy to digest performance measures and trends that will inform management decision.<\/p>\n
4.Was the 2017 Crash of the Crypto-currency Market Predictable?
\nThe cyber-space of crypto-currency market is a main issue in terms of security and stability. the crypto-currency price exponentially increased and reached an important burst in the end of 2017. they detect and\u00a0test the prediction of this crypto-currency market crash using the Log-Periodic Power Law model (LPPL). they consider 2 main crypto-currencies, Bitcoin and Ether. they find that the LPPL model allows to estimate the date of the crash <\/p>\n
5.Crypto market responses to digital asset policies
\nThey find that trading volume falls by up to 55% in the week after the announcement of a ban, and by up to 25% after a CBDC-supportive speech by senior central bank officials. For the strictest bans, this reduction persists over the subsequent quarter, driven by a reduction in trading by institutional investors. The results suggest that crypto market participants pay significant attention to government policy on digital assets. <\/p>\n
6. Modelling Crypto-Currencies Financial Time-Series
\nThey develop a new dynamic model able to account for long memory and asymmetries in the volatility process as well as for the presence of time varying skewness and kurtosis.The empirical application, carried out on a large set of crypto.<\/p>\n
7.Crypto-currency: Implication for Regulatory Governance
\nsome crypto-currencies, there are upper limit on the number of units can be issued. However, crypto-currencies can also be generated without such limit now. Therefore, it can mimic the money supply dynamic in fiat monetary systems. However, in order to be a new form of money in view of the exponential growth on crypto-asset\/currency which in term may affect the overall financial stability, the growth in blockchain based currencies starts catching the eye sight of global regulators. IMF reminded that with the growth in the sector, crypto-asset may pose risks to financial stability in the future.<\/p>\n
8.Managing a Crypto-Currency Portfolio Via Minmax Drawdown Control
\nIt is difficult to form reliable estimates of expected returns and covariance matrices needed as inputs for standard portfolio optimization. Even if such estimates are available, it may be useless to investors if the behavior of underlying assets changes over time. Building on the MinMax Drawdown Control framework of Chassang (2018), this paper proposes a conceptually attractive and empirically successful approach to build benchmark portfolios of crypto-currencies and other innovative assets.<\/p>\n
9.Factors affecting institutional investors to add crypto-currency to asset portfolios
\nThis research makes a pioneering study to investigate the role of crypto-currencies in PE company portfolios and factors affecting the institutional investors\u2019 investment intention in order to enhance the reliability of their investment products. Data were obtained from 253 multinational PE company investment managers who have bought and used crypto-currency. The findings suggest not only important roles or drivers but also the moderating roles of innovativeness on relationships between the investment intention and its antecedents. It suggests that price volatility doesn\u2019t lower institutional investors\u2019 confidence as long as the market can offer timely and accurate price change information to meet investors\u2019 price consciousness. The result also identifies that crypto-currency with high familiarity and trust can be well-suited in institutional investors\u2019 portfolios.<\/p>\n
10.Crypto Currency \u2013 A New Challenge For The Economy Of Georgia
\n The aim of the study is cryptographic currency and its positive and negative consequences, main trends of development in the world and particularly, in Georgia. It is based on the qualitative and quantitative methods of research. Also, we have analyzed the content of the legal documents. the method of statistical analysis and the reviewed practical examples of other countries. In addition, they used questionnaires and interviews of civil society members in Georgia for gathering information and to assess the tendency of public attitudes toward crypto currencies. Georgia can be said to be an emerging space for the development of cryptographic currency market because there is no adequately developed regulatory framework, there is a huge risk for a sustainable and inclusive development of the economy, as well as the public and its welfare.Based on the research have concluded that the establishment of crypto currency is a serious threat to the central banks to produce official macro-economic statistics, which creates problems for the correct implementation of monetary policy. <\/p>\n
Conclusion:-
\nWe conclude that Crypto-currencies have been investigated for their specialties, usage areas, and current structures. The market-efficiency in the largest crypto-currencies is highly time-varying, with Litecoin being the most efficient and Ripple being the least efficient. The cyber-space of the crypto-currency market poses a significant issue in terms of security and stability. Government policy on digital assets significantly affects crypto market participants, with trading volume falling after bans and CBDC-supportive speeches. Crypto-assets may pose risks to financial stability in the future. Building benchmark portfolios of crypto-currencies and other innovative assets is challenging, and institutional investors’ investment intention is affected by factors such as innovativeness and trust. The establishment of crypto-currencies is a serious threat to central banks, which creates problems for the correct implementation of monetary policy.<\/p>\n
Reference:-
\nAndy Cheng, 2018. \u201cCrypto-currency: Implication for Regulatory Governance,\u201d Proceedings of International Academic Conferences 8209673, International Institute of Social and Economic Sciences.<\/p>\n
Copestake, Alexander & Furceri, Davide & Gonzalez-Dominguez, Pablo, 2023. \u201cCrypto market responses to digital asset policies,\u201d Economics Letters, Elsevier, vol. 222\u00a9.<\/p>\n
Eka Lekashvili & Lela Mamaladze, 2018. \u201cCrypto Currency \u2013 A New Challenge For The Economy Of Georgia,\u201d Copernican Journal of Finance & Accounting, Uniwersytet Mikolaja Kopernika, vol. 7(4), pages 87-97.<\/p>\n
\u00c9lise Alfieri & Radu Burlacu & Geoffroy Enjolras, 2019. \u201cWas the 2017 Crash of the Crypto-currency Market Predictable?,\u201d Post-Print hal-02952123, HAL<\/p>\n
Horia Mircea BOTOS, 2017. \u201cBitcoin Intelligence \u2013 Business Intelligence meets Crypto Currency,\u201d CES Working Papers, Centre for European Studies, Alexandru Ioan Cuza University, vol. 9(3), pages 488-505, October<\/p>\n
Leopoldo Catania & Stefano Grassi, 2017. \u201cModelling Crypto-Currencies Financial Time-Series,\u201d CEIS Research Paper 417, Tor Vergata University, CEIS, revised 11 Dec 2017<\/p>\n
Mehmet Hasan Eken & Erkut Baloglu, 2017. \u201cCrypto Currencies and their Destinies in the Future,\u201d\u00a0International Journal of Finance & Banking Studies, Center for the Strategic Studies in Business and Finance, vol. 6(4), pages 01-11, April.<\/p>\n
Sun, Wei & Dedahanov, Alisher Tohirovich & Shin, Ho Young & Li, Wei Ping, 2021. \u201cFactors affecting institutional investors to add crypto-currency to asset portfolios,\u201d The North American Journal of Economics and Finance, Elsevier, vol. 58\u00a9.<\/p>\n
Sylvain Chassang, 2019. \u201cManaging a Crypto-Currency Portfolio Via Minmax Drawdown Control,\u201d Working Papers 2019-1, Princeton University. Economics Department.<\/p>\n
Tran, Vu Le & Leirvik, Thomas, 2020. \u201cEfficiency in the markets of crypto-currencies,\u201d\u00a0Finance Research Letters, Elsevier, vol. 35\u00a9.<\/p>\n","protected":false},"excerpt":{"rendered":"
Title :- Crypto Currency Name: – Palak Khutate Literature review 1.Crypto Crypto currencies and their destinies in the future Crypto Currencies are investigated with regards to their specialties, usage areas and current structures. similarity between Crypto Currencies and Free Banking Era Banknotes is noticed and thus investigated in details. 2.Efficiency in the markets of crypto-currencies… Continue reading Crypto Currency<\/span><\/a><\/p>\n","protected":false},"author":112372,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[38],"tags":[],"class_list":["post-17187","post","type-post","status-publish","format-standard","hentry","category-finance","entry"],"_links":{"self":[{"href":"http:\/\/www.sachdevajk.in\/index.php?rest_route=\/wp\/v2\/posts\/17187","targetHints":{"allow":["GET"]}}],"collection":[{"href":"http:\/\/www.sachdevajk.in\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"http:\/\/www.sachdevajk.in\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"http:\/\/www.sachdevajk.in\/index.php?rest_route=\/wp\/v2\/users\/112372"}],"replies":[{"embeddable":true,"href":"http:\/\/www.sachdevajk.in\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=17187"}],"version-history":[{"count":1,"href":"http:\/\/www.sachdevajk.in\/index.php?rest_route=\/wp\/v2\/posts\/17187\/revisions"}],"predecessor-version":[{"id":17295,"href":"http:\/\/www.sachdevajk.in\/index.php?rest_route=\/wp\/v2\/posts\/17187\/revisions\/17295"}],"wp:attachment":[{"href":"http:\/\/www.sachdevajk.in\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=17187"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"http:\/\/www.sachdevajk.in\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=17187"},{"taxonomy":"post_tag","embeddable":true,"href":"http:\/\/www.sachdevajk.in\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=17187"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}