A Conceptual Model: Generation Z Cryptocurrency Investors’ Behaviors in the Era of the Covid-19 Pandemic

Abstract

This article aims to explain the effect of overconfidence, emotion, and experience on risk perception, using SEM-PLS Method. The expected findings are a negative relationship between overconfidence on risk perception, a positive relationship between emotion on risk perception, also a positive relationship between experience on risk perception. This study explains whether the unusual behaviors of generation Z cryptocurrency investors, during the COVID-19 pandemic, have a correlation with their risk perception. Researchers hope that this research can provide investors and practitioners with an understanding to better understand individual investor interests and consumer behavior toward generation Z cryptocurrency investors in the midst of the Covid-19 pandemic.