Taming the blockchain beast? Regulatory implications for the cryptocurrency Market

…, S Sharma, B Ghimire, A Shuraeva - Research in International …, 2020 - Elsevier
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 …

The financial pandemic: COVID-19 and policy interventions on rational and irrational markets

S Shanaev, A Shuraeva, B Ghimire - Available at SSRN 3589557, 2020 - papers.ssrn.com
Financial markets are useful indicators of public beliefs and dispersed knowledge on future
outcomes and policy efficiency, especially in periods of uncertainty. 51 national stock …

[PDF][PDF] Cryptocurrency value and 51% attacks: evidence from event studies

S Shanaev, A Shuraeva, M Vasenin… - The Journal of …, 2019 - academia.edu
In this article, an event studies approach is utilised to assess the influence of 51% attacks on
proof-of-work cryptocurrency prices. The study uses an exhaustive sample of 14 individual …

The Groundhog Day stock market anomaly

S Shanaev, A Shuraeva, S Fedorova - Finance Research Letters, 2022 - Elsevier
This paper discovers a distinct calendar anomaly on the US stock market associated with the
Groundhog Day prognostication tradition across 1928–2021. There are significant positive …

The marginal cost of mining, Metcalfe's law and cryptocurrency value formation: Causal inferences from the instrumental variable approach

S Shanaev, S Sharma, A Shuraeva… - Metcalfe's Law and …, 2019 - papers.ssrn.com
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 …

Proof-of-What? Detecting original consensus algorithms in cryptocurrencies with a four-factor model

…, S Sharma, S Valluri, A Shuraeva - … in Cryptocurrencies with …, 2019 - papers.ssrn.com
This study applies Fama-French-style factor loading analysis to cryptocurrency financial
performance data to determine the originality of 32 reportedly novel consensus algorithms (“…

Detecting anomalies in the 2020 US Presidential election votes with Benford's law

S Shanaev, A Shuraeva, B Ghimire - Available at SSRN 3728626, 2020 - papers.ssrn.com
This study applies Benford’s law to detect anomalies in county-level vote data for the 2020
US presidential election. Most prominent distribution violations are observed with Republican …

Towards proof-of-work cryptocurrency valuation: mining games, network effects and the social value of blockchain

S Shanaev, A Shuraeva, M Vasenin… - Network Effects and the …, 2019 - papers.ssrn.com
In this study, a mathematical model of proof-of-work cryptocurrency valuation is developed
based on the concepts of simultaneous equilibria in two mining games, the purchasing power …

To Float or to Sink? Revisiting the Causal Effects of Exchange Rate Regimes

A Shuraeva, S Shanaev, B Ghimire - Revisiting the Causal Effects …, 2020 - papers.ssrn.com
This study proposes a novel instrumental variable construction procedure based on
international trade concentration that has a sufficiently strong first stage for exchange rate policy …

Competitive Consumer Loan Market Model: Interest-Collateral Equilibrium

S Shanaev, A Shuraeva - Available at SSRN 2801107, 2016 - papers.ssrn.com
In this article we develop a fairly simple mathematical model of a competitive consumer loan
market. Given the market deposit rate and the structure of the public’s time preference it …