This research investigates the appropriateness of the linear specification of the market model for modeling and forecasting the cryptocurrency prices during the pre-COVID-19 and COVID-19 periods. Two extensions are offered to compare the performance of the linear specification of the market...

The 2008 and 2020 crises reinvigorated discussions on the democratization of finance. Peer-to-peer (P2P) lending is a valuable option worldwide, but credit risk is high. To encourage investors, P2P platforms use blockchain and the option of crypto as collateral. This study examines lender views...

Cryptocurrencies are gaining momentum in investor attention, are about to become a new asset class, and may provide a hedging alternative against the risk of devaluation of fiat currencies following the COVID-19 crisis. In order to provide a thorough understanding of this new asset class, risk...

This paper aims to find the effectiveness of Cryptocurrency on well-formed portfolio with assets like Commodities, Exchange Traded Fund (ETFs), Stock assets and currency value of INR. There are several ways to determine the effectiveness in diversification. In this paper we use SOLVER, Modern...

This paper examines the market efficiency of three key cryptocurrency markets namely: Bitcoin, Ethereum and Monero, before and during the COVID-19 pandemic. This research makes use of a Durbin-Watson test and a non-parametric runs test to test for weak-form efficiency, and two comprehensive...

This paper examines the effects of fear of coronavirus on returns and volatility of five major cryptocurrencies during the COVID-19 outbreak. Adopting Google search volume on a comprehensive list of coronavirus-related terms to construct a gauge of fear, we show that daily innovations in...

Are gold-backed cryptocurrencies as stable as gold during crises? In this paper, we assess whether gold-backed stablecoins, purported to be safer than other cryptocurrencies indeed demonstrate safe haven characteristics during the COVID-19 pandemic. In the digital assets’ ecosystem,...

In this study, we adopted the Log-Periodic Power Law Singularity (LPPLS) model for real-time identification and monitoring of Bitcoin bubbles and crashes using different time scale data and proposed the modified Lagrange regularization method to alleviate the impact of potential LPPLS model...

This paper contributes a shred of quantitative evidence to the embryonic literature as well as existing empirical evidence regarding spillover risks among cryptocurrency markets. By using VAR (Vector Autoregressive Model)-SVAR (Structural Vector Autoregressive Model) Granger causality and...

Through the application of the VAR-AGARCH model to intra-day data for three cryp-tocurrencies (Bitcoin, Ethereum, and Litecoin), this study examines the return and volatility spillover between these cryptocurrencies during the pre-COVID-19 period and the COVID-19 period. We also estimate the...