Browsing by Author "Kang, Sang Hoon"

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Embargo
Higher-order moment connectedness between stock and commodity markets and portfolio management
(Elsevier Ltd, 2024-02) Mensi, Walid; Ko, Hee-Un; Şensoy, Ahmet; Kang, Sang Hoon
This study examines the spillover in high -order moments for major stock markets in Europe, Japan, the UK, and the US (STOXX50, FTSE100, SP500, and NIKKEI225), and two representative commodities (Brent crude oil and gold futures) using 5 -min data from January 1, 2020, to May 31, 2022. The results show that spillovers vary across order moments, which are larger for realized volatility and jumps than for realized skewness and kurtosis. Moreover, gold is a net receiver of spillovers for all order moments, whereas oil switches from a net receiver of spillovers under both realized volatility and jumps to a net transmitter of spillovers in realized skewness and kurtosis spillovers. The US stock market is a net transmitter of spillovers in all realized moments, whereas other stock markets shift from net receivers to net contributors based on the moments. Furthermore, spillovers in high-order moments vary over time, and their trends behave differently over time. The spillovers in high -order moments increase during different phases of the COVID-19 and Ukraine -Russia wars. These findings have significant implications for fund allocations and financial risk management.
Open Access
Pricing efficiency and asymmetric multifractality of major asset classes before and during COVID-19 crisis
(Elsevier, 2022-11-10) Mensi, Walid; Sensoy, Ahmet; Vo, Xuan Vinh; Kang, Sang Hoon
We examine the impact of COVID-19 pandemic crisis on the pricing efficiency and asymmetric multifractality of major asset classes (S&P500, US Treasury bond, US dollar index, Bitcoin, Brent oil, and gold) within a dynamic framework. Applying permutation entropy on intraday data that covers between April 30, 2019 and May 13, 2020, we show that efficiency of all sample asset classes is deteriorated with the outbreak, and in most cases this deterioration is significant. Results are found to be robust under different analysis schemes. Brent oil is the highest efficient market before and during crisis. The degree of efficiency is heterogeneous among all markets. The analysis by an asymmetric multifractal detrended fluctuation analysis (A-MF-DFA) approach shows evidence of asymmetric multifractality in all markets which rise with the scales. The inefficiency is higher during downward trends before the pandemic crisis as well as during COVID-19 except for gold and Bitcoin. Moreover, the pandemic intensifies the inefficiency of all markets except Bitcoin. Findings reveal increased opportunities for price predictions and abnormal returns gains during the COVID-19 outbreak.