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What is KMO (Kaiser-Meyer-Olkin)

Chapter 6
COVID-19's Impact on the Cryptocurrency Market and the Digital Economy
Is a statistical measure to determine how suited data is for factor analysis. The test measures sampling adequacy for each variable in the model and the complete model. The statistic is a measure of the proportion of variance among variables that might be common variance. The higher the proportion, the higher the KMO-value, the more suited the data is to factor analysis.
Published in Chapter:
Principal Components Analysis: Impact on Alternative Crypto-Currencies
Nabiha Haouas (University of Sousse, Tunisia) and Asma Sghaier (University of Sousse, Tunisia)
Copyright: © 2022 |Pages: 25
DOI: 10.4018/978-1-7998-9117-8.ch006
Abstract
Today, cryptocurrencies are rapidly gaining popularity and sweeping all the economies of the world, but the bulk of the literature is devoted to a few cryptocurrencies only. The purpose of this chapter is to analyze of the cryptocurrency market. More than 2000 cryptocurrencies are examined, and a set of 70 cryptocurrencies were recovered for a sample spanning 2015-2018. The degree of relationship between the variables was then investigated. The PCA was performed. This analysis allows the initial variables to be replaced by five factors that retain almost all of the information (91.028% of the total information) and have the advantage of being uncorrelated. Therefore, the authors have concluded that the first factor corresponds to the cci30 index used by the crypto funds while the rest of the factors can be distinguished according to some variants.
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