Research into Cryptocurrencies and Long Term Memory


Authors : Shima Alizadeh, Hilda Saleh, Morteza Shafiee

Volume/Issue : Volume 4 - 2019, Issue 12 - December

Google Scholar : https://goo.gl/DF9R4u

Scribd : https://bit.ly/36iFvWn

Retrieving a set of 14 cryptocurrencies for a sample spanning 2015–2018. In this paper, we investigate Efficiency Market Hypothesis (EMH) by applying ARFIMA model for 14 cryptocurrencies which average price didn’t meet over $1 during a period 3 years, from Sep 2015 to Sep 2018. The Long term memory which is detected in time series of price, is in contradiction with Efficiency Market Hypothesis.

Keywords : Efficiency Market Hypothesis, Market Efficiency, Cryptocurrency, ARFIMA.

CALL FOR PAPERS


Paper Submission Last Date
30 - April - 2024

Paper Review Notification
In 1-2 Days

Paper Publishing
In 2-3 Days

Video Explanation for Published paper

Never miss an update from Papermashup

Get notified about the latest tutorials and downloads.

Subscribe by Email

Get alerts directly into your inbox after each post and stay updated.
Subscribe
OR

Subscribe by RSS

Add our RSS to your feedreader to get regular updates from us.
Subscribe