Skip to main content

ETHNOS_APP

Home • Search • Journals • List 0

Sung Y Park

Biographic Data

ID6681698
NAMESung Y Park
GIVEN NAMESSung Y
FAMILY NAMEPark
SIGNATUREPARK S Y
AFFILIATIONSChung-Ang University
ORCID0000-0001-9149-7603
VERIFIEDYes
TOTAL WORKS3
TOTAL CITATIONS0
WORKS AS AUTHOR3
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2018
LATEST PUBLICATION YEAR2024
H-INDEX0
  • Quantile causal relationship between Bitcoin and stock indices

    Myeong Jun Kim, Sung Y Park•ARTICLE•Journal of the Asia Pacific Economy•2024•References: 1

    This study employs a Granger non-causality test in quantiles to analyze the causal relationship between Bitcoin and representative stock indices. We further bifurcate our analysis into pre- and post-COVID-19 periods, providing a unique perspective on hedge evaluation in different market conditions. The empirical findings reveal several key insights. First, a traditional causal test conducted over the entire period, which only considers causality …

  • On time and frequency-varying Okun’s coefficient

    Open Access•Myeong Jun Kim, Stanley I M Ko et al.•ARTICLE•Empirical Economics•2021

  • Information theoretic approaches to income density estimation with an application to the U.S. income data

    Open Access•Sung Y Park, Anil K Bera•ARTICLE•The Journal of Economic Inequality•2018•References: 3

No prominent works on this page.

  • Information theoretic approaches to income density estimation with an application to the U.S. income data

    Open Access•Sung Y Park, Anil K Bera•ARTICLE•The Journal of Economic Inequality•2018•References: 3

  • On time and frequency-varying Okun’s coefficient

    Open Access•Myeong Jun Kim, Stanley I M Ko et al.•ARTICLE•Empirical Economics•2021

  • Quantile causal relationship between Bitcoin and stock indices

    Myeong Jun Kim, Sung Y Park•ARTICLE•Journal of the Asia Pacific Economy•2024•References: 1

    This study employs a Granger non-causality test in quantiles to analyze the causal relationship between Bitcoin and representative stock indices. We further bifurcate our analysis into pre- and post-COVID-19 periods, providing a unique perspective on hedge evaluation in different market conditions. The empirical findings reveal several key insights. First, a traditional causal test conducted over the entire period, which only considers causality …

Econometrics (3 works) · Economics (3 works) · Computer Science (2 works) · Mathematics (2 works) · Statistics (2 works) · Blockchain Technology Applications and Security (1 work) · Business (1 work) · Class (philosophy (1 work) · Complex Systems and Time Series Analysis (1 work) · Comprehensive income (1 work)

Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae