Please use this identifier to cite or link to this item: https://elar.urfu.ru/handle/10995/143909
Title: Impact of Oil Price Shocks on Crypto and Conventional Financial Assets during Financial Crises: Evidence from the Russian Financial Market
Authors: Ullah, M.
Sohag, K.
Nawaz, F.
Mariev, O.
Kayani, U.
Mayburov, I.
Doroshenko, S.
Issue Date: 2024
Publisher: Econjournals
Citation: Ullah, M., Sohag, K., Nawaz, F., Mariev, O., Kayani, U., Mayburov, I., & Doroshenko, S. (2024). Impact of Oil Price Shocks on Crypto and Conventional Financial Assets during Financial Crises: Evidence from the Russian Financial Market. International Journal of Energy Economics and Policy, 14(4), 472-483. https://doi.org/10.32479/ijeep.16374
Ullah, M, Sohag, K, Nawaz, F, Mariev, O, Kayani, U, Mayburov, I & Doroshenko, S 2024, 'Impact of Oil Price Shocks on Crypto and Conventional Financial Assets during Financial Crises: Evidence from the Russian Financial Market', International Journal of Energy Economics and Policy, Том. 14, № 4, стр. 472-483. https://doi.org/10.32479/ijeep.16374
Abstract: This study offers a multidimensional solution to mitigate the risk raised due to oil price volatility for navigating investments within the Russian financial landscape. This study assesses spillover effects between crypto assets and traditional financial assets encompassing equities, bonds, precious metals, foreign currency reserves, and crude oil prices. It adopts a significant temporal perspective to assess the potential ramifications of various financial crises, including global health crises and regional conflicts, on oil prices. Utilizing a daily frequency dataset spanning from January 1, 2018, to December 30, 2023, this study investigates the contagion effects of financial crises across normal, bullish, and bearish market conditions. It introduces oil price shocks for the 1st time to effectively gauge the impact of exogenous shocks on both crypto and conventional asset classes. Additionally, the study employs Cross Quantilogram (CQ) and TVP-VAR spillover estimation techniques to examine interconnectedness among the underlined assets. Furthermore, the study utilizes the quantile wavelet coherence estimation model to unveil volatility patterns, laying the groundwork for hypotheses related to diversification, hedging, and safe-haven investment strategies among the assets. The findings underscore the effectiveness of crypto assets in diversifying risk and serving as a hedge, particularly evident during crises, leading to heightened volatility. Conversely, government-owned bonds exhibit the lowest resilience to external shocks. Moreover, the dynamic interconnectedness among assets provides guidance to investors for implementing the proposed hypotheses that underscores the importance of prudent asset allocation policies for risk management, optimizing portfolio utilization.
Keywords: CONVENTIONAL ASSETS
CRYPTO ASSETS
DIVERSIFICATION
HEDGING
OIL PRICE SHOCKS
SAFE-HAVEN INVESTMENT STRATEGIE
URI: https://elar.urfu.ru/handle/10995/143909
Access: info:eu-repo/semantics/openAccess
cc-by-nc-nd
License text: https://creativecommons.org/licenses/by-nc-nd/4.0/
SCOPUS ID: 85199650061
PURE ID: 61569984
ISSN: 2146-4553
DOI: 10.32479/ijeep.16374
Sponsorship: Arab Open University, (AOUKSA-524008)
The authors extend their appreciation to the Arab Open University for funding this work through research fund No. (AOUKSA-524008).
Appears in Collections:Научные публикации ученых УрФУ, проиндексированные в SCOPUS и WoS CC

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