ABSTRACT
Suspicious information and chaotic situations caused by the Covid-19 pandemic are the main issues in recent economic predictions. The ASEAN community is a group of member countries that are trying to decentralize restricted systems, especially financial sectors. The huge gap in the investigation in ASEAN economies is obscure information. To deal with this issue, an example of applying a novel tool for exploring invisible factors forcing fluctuations in ASEAN economies is empirically presented in this paper. Cryptocurrencies – the indexes that are intentionally defined as a decentralized market – are chosen. Four major digital currencies – Bitcoin (BTC), Ethereum (ETH), Tether (USDT), and Ripple (XRP) – have been collected as a daily time-series sample from January 1, 2018, to December 27, 2020. The main objective is to present the outlook of risk management by using quantum formalism in parts of data transformation, extreme analysis, and risk foresight. The result provides strong evidence that a quantum mechanism not only can be applied in a computational lab, but also can be a predominant alternative for studying ASEAN in terms of big data analyses.
