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Sung Y Park

Datos Biográficos

ID6681698
NOMBRESung Y Park
NOMBRESSung Y
APELLIDOPark
FIRMAPARK S Y
AFILIACIONESChung-Ang University
ORCID0000-0001-9149-7603
VERIFICADOSí
TOTAL DE OBRAS3
TOTAL DE CITAS0
OBRAS COMO AUTOR3
OBRAS COMO EDITOR0
PRIMER AÑO DE PUBLICACIÓN2018
AÑO MÁS RECIENTE DE PUBLICACIÓN2024
ÍNDICE H0
  • Quantile causal relationship between Bitcoin and stock indices

    Myeong Jun Kim, Sung Y Park•ARTICLE•Journal of the Asia Pacific Economy•2024•Referencias: 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•Referencias: 3

Sin obras prominentes en esta página.

  • 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•Referencias: 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•Referencias: 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 obras) · Economics (3 obras) · Computer Science (2 obras) · Mathematics (2 obras) · Statistics (2 obras) · Blockchain Technology Applications and Security (1 obra) · Business (1 obra) · Class (philosophy (1 obra) · Complex Systems and Time Series Analysis (1 obra) · Comprehensive income (1 obra)

Ethnos_APP • Proyecto Open Source • Licencia MIT • Frontend v2.0.0 • Privacidad y Cookies • Documentación de la API: api.ethnos.app/docs • Código de la API: GitHub • DOI: 10.5281/zenodo.17049435 • Código del Frontend: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae