
The lecture examines the fundamentals of the COVID-19 pandemic, vaccines, and cryptocurrencies, including vaccine confidence index constructions and how blockchain underpins Bitcoin and Ethereum markets.
Construct the vaccine confidence index for COVID-19 by combining first and second dose dynamics with a 28-day incubation, across 14 countries, scaled from 0 to 100.
Explore literature on COVID-19 pandemic indices—vaccine confidence index, global fear index, panic index, and sentiment index—and their impact on cryptocurrency markets, especially Bitcoin and Ethereum.
Explore blockchain features—hashrate, network difficulty, and blockchain size—as determinants in literature, detailing their relations to Bitcoin and Ethereum and the study's novel focus.
Analyze data and sample selection for a balanced panel study on cryptocurrency returns, covering 14 countries, Japan as benchmark, 28-day incubation, and 10 indicators.
Apply panel data methods to test unit roots with the LC test and verify stationarity; use autoregressive distributed lag models with random effects and generalized method of moments for robustness.
This module validates the PCI as a predictor for cryptocurrency returns, using summary statistics and panel estimations, and finds Bitcoin positively related to PCI while Ethereum has an inverse relation.
This lecture presents ARDL and PMG estimation results for bitcoin and ethereum returns, highlighting long-run significance of FECI, GFI, hashrate, network difficulty, and stock indices as drivers.
Explore robustness checks using random effects, GMM, and a split sample based on vaccination threshold to verify Bitcoin and Ethereum return results; findings show consistent signs across models.
Examine conclusions, limitations, and suggestions for cryptocurrency research amid COVID-19, emphasizing vaccine distributions, smart contracts, and regulation shaping bitcoin and ethereum dynamics.
COVID-19 created a global saddled due to the pandemic of coronavirus and vaccine is believed to be a game-changing tool do end the pandemic. Therefore, the economy could rebound gradually. Public health improvement and hence the growth of economic are relying on COVID-19 vaccine. Prior works has proven that vaccine arrival could boost the outlook of economic and sending new hope to normality and stability (Rouatbi et al., 2021). Further, several studies examined the relationship between vaccine and financial assets. However, none of previous studies explored about vaccine confidence index. Our research constructed new index, named Vaccine Confidence Index (VCI), which derived from dose 1 and 2 of COVID-19 vaccine. Through the videos, the students will be able to understand the entire research process.
This course covers several modules: COVID-19 pandemic, vaccine, and cryptocurrencies; the constructions of VCI; literature review around COVID-19 pandemic indices and blockchain features; data and sample; research methodology; the results, included: VCI validation, ARDL results, robustness results; and conclusions, limitation and suggestions.
The students could accomplish this course in 45-50 minutes and required to answer the quiz as the assessment of this course. Once the students complete this course, they will be able to understand how to conduct research, especially research around COVID-19 and cryptocurrencies.