Percorrer por autor "Kang, Sang Hoon"
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- Dependence and risk management of portfolios of metals and agricultural commodity futuresPublication . Hanif, Waqas; Mensi, Walid; Vo, Xuan Vinh; BenSaïda, Ahmed; Hernandez, Jose Arreola; Kang, Sang HoonThis paper examines the dependence structure and the portfolio allocation characteristics of a main industrial portfolio metals (gold, platinum, palladium, aluminum, silver, copper, zinc, lead, and nickel), and of an agricultural commodities portfolio (wheat, corn, soybeans, coffee, sugar cane, sugar beets, cocoa, cotton, and lumber). Our methodology is based on regular vine copulas and the conditional Value-at-Risk. The motivation to investigate the dependence structure and connectedness between agricultural, and metal commodities is to identify ways in which agricultural and metal commodities can hedge each other and to explore the possibilities of parallel investments. The results indicate that the dependence dynamics of the main metals portfolio are characterized by symmetric features. However, the dependence dynamics of the agricultural commodities portfolio are characterized by symmetric and asymmetric features; symmetric dynamics are predominant. Finally, the metal commodities portfolio is observed to be less risky for financial resource allocation during the global financial crisis.
- Interdependence and spillovers between big oil companies and regional and global energy equity marketsPublication . Hanif, Waqas; Hernandez, Jose Arreola; Kang, Sang Hoon; Boako, Gideon; Yoon, Seong-MinWe examine spillovers and nonlinear dependence dynamics between big oil supermajors and regional and global energy equity markets. We derive our empirical results by fitting a directional spillover index, a conditional value-at-risk (CoVaR) method, and time-varying parameter copulas. Spillover index results indicate that big oil supermajors most largely spillover to the EU energy equity sector than to the US energy equity sector. A big oil supermajor British Petroleum (BP) consistently exerts some of the largest spillovers across regional and global energy markets. The CoVaR analysis reveals that on the downside, shocks from Royal Dutch Shell A most largely spillover to the US energy equity sector, while Royal Dutch Shell B does it on the upside. On the downside, Chevron most largely spillovers shocks to the EU energy equity sector, while BP does it on the upside. ExxonMobil most largely spillovers downside shocks to the world energy equity sector, while Royal Dutch Shell B does it on the upside. The Copula results show an asymmetric dependence between major oil companies and the US energy equity sector. The relationship between big oil companies and the EU energy equity sector is characterised by symmetric dependence dynamics.
- Intraday quantile coherence between oil and European sectors during the Russia-Ukraine warPublication . Hanif, Waqas; El Khoury, Rim; Kang, Sang HoonThis study examines the interconnectedness between crude oil and European sectors during the Russia-Ukraine conflict. Using a quantile coherence approach, we investigate the intraday dynamics of market interactions at different quantiles and frequencies. The findings reveal that in the short-term, oil emerges as a robust hedge for 12 sectors in stable market conditions, transitioning to a weaker hedge during bullish and bearish market conditions. Furthermore, the long-term analysis shows a stronger coherence between oil and stock sector indices. The medium-term and long-term analyses reveal shifts in dependence structures, with oil acting as a safe haven in bullish markets for specific sectors. These findings provide valuable insights for investors and policymakers in managing risks amid geopolitical events, contributing to the existing literature on oil-European sector dynamics.
- Nonlinear dependence and spillovers between cryptocurrency and global/regional equity marketsPublication . Hanif, Waqas; Areola Hernandez, Jose; Troster, Victor; Kang, Sang Hoon; Yoon, Seong-MinIn this paper, we investigate the nonlinear dependence dynamics among eight cryptocurrencies (Monero, Bitcoin, Dash, Litecoin, Stellar, XRP, Ethereum, and Nem) by applying time-varying copulas. We also examine the upside and downside spillovers between cryptocurrencies and equity markets by a conditional Value-at-Risk (CoVaR) approach. We show that the dynamics of dependence of the portfolio of cryptocurrencies reveal both symmetric and asymmetric features, with the symmetric dynamics being more predominant. NEM and Ethereum have the largest downside and upside CoVaR spillovers on the world equity index, respectively. The largest downside CoVaR spillovers from the world equity index are to NEM followed by Stellar, and the largest upside spillovers are to Ethereum followed by NEM. Stellar and Bitcoin exhibit the largest downside and upside CoVaR spillovers on the Americas equity index. The largest downside CoVaR spillovers from the Americas equity index are to Stellar and NEM, and those on the upside are to Ethereum and NEM. In addition, we find that most cryptocurrencies exhibit safe haven or hedge properties more often than rare metals and diamonds for daily equity indices. Finally, we conduct an out-of-sample analysis of optimal-weighting portfolio strategies based on C-vine copulas using cryptocurrencies and equity indices that entails forward-looking measures of risk that are economically significant, which outperform benchmark strategies.