دانلود رایگان مقاله انگلیسی متنوع سازی پورتفوی در سراسر ارز رمزی - الزویر 2018

عنوان فارسی
متنوع سازی پورتفوی در سراسر ارز رمزی
عنوان انگلیسی
Portfolio diversification across cryptocurrencies
صفحات مقاله فارسی
0
صفحات مقاله انگلیسی
13
سال انتشار
2018
نشریه
الزویر - Elsevier
فرمت مقاله انگلیسی
PDF
نوع مقاله
ISI
نوع نگارش
مقالات پژوهشی (تحقیقاتی)
رفرنس
دارد
پایگاه
اسکوپوس
کد محصول
E9569
رشته های مرتبط با این مقاله
اقتصاد
گرایش های مرتبط با این مقاله
اقتصاد پولی
مجله
اسناد تحقیقات مالی - Finance Research Letters
دانشگاه
School of Finance - Capital University of Economics and Business - Beijing - China
کلمات کلیدی
ارز مرزی؛ تنوع نمونه کارها؛ عملکرد خارج از نمونه
doi یا شناسه دیجیتال
https://doi.org/10.1016/j.frl.2018.07.010
چکیده

ABSTRACT


Utilizing the empirical data of ten major cryptocurrencies, this article examines the investablitiy and role of diversification in cryptocurrency market, and evaluates the out-of-sample performance of commonly used asset allocation models across cryptocurrencies. We show that portfolio diversification across different cryptocurrencies can significantly improve the investment results. We also find robust evidence that the maximum utility model dominates the out-of-sample utility, although none of the models can consistently beat the naïve 1/N portfolio in Sharpe ratio.

نتیجه گیری

4. Conclusion


This article examines the investability and role of diversification in cryptocurrencies as an alternative asset class, and further demonstrates whether the portfolio selection theory can benefit the cryptocurrency market. It is found that diversification among the cryptocurrencies can significantly enhance the Sharpe ratio and utility. By comparing the out-of-sample performance of six classical asset allocation models, we show that the minimum variance model is less risky with the smallest maximum drawdown, the maximum utility model possesses higher return and utility, but most of the models cannot beat the naïve 1/N rule under the Sharpe ratio criterion. These findings can help investors make more informed decisions. On the other hand, the complexities of the cryptocurrency market are far from fully explored. For instance, the results in this article indicate that the estimation error in mean and covariances may offset the gains from optimal diversification, raising a problem about how to improve the estimation with sufficiently considering the stylized facts of cryptocurrencies. We leave a more detailed analysis of estimation risk in future research.


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