This paper is the first to rigorously test commonly cited simplistic theories of cryptocurrency pricing, namely, cost-based model and Metcalfe's law, using causal inferences from the instrumental variables approach on block-level data for six proof-of-work coins. Positive effects of hashrate and...

This paper uses a unique dataset of 120 regulatory events from five classes to test the relevance of the regulatory framework for cryptocurrency value. Time-series market-wide estimates and panel estimates for 300 individual coins and tokens show statistically and economically significant impact...

This study applies Fama-French-style factor loading analysis to cryptocurrency financial performance data to determine the originality of 32 reportedly novel consensus algorithms (“proofs”) and 20 hybrid consensus mechanisms as compared to conventional proof-of-work and proof-of-stake using...

<title>A<sc>bstract</sc> </title> Estimating missing values is known as data imputation. Previous research has shown that genetic algorithms (GAs) designed locally weighted regression (LWR) and time delay neural network (TDNN) models can generate more accurate hourly volume imputations for a period of 12 successive...