DeFi and Vietnamese Commercial Bank Stocks
DOI:
https://doi.org/10.24311/jabes/2025.36.6.04Keywords:
Decentralized Finance, Banking Stocks, QVAR model, Spillover effectAbstract
This study aims to identify the price spillover effects between decentralized finance (DeFi) and the stocks of Vietnamese commercial banks using a quantile spillover index model (τ) during the period 2018–2025. The results indicate that the connectedness between DeFi and commercial bank stocks is insignificant under stable market conditions (τ = 0.50), but becomes stronger during bearish (τ = 0.05) and bullish (τ = 0.95) market conditions. Notably, DeFi acts as a recipient of shock spillovers from commercial bank stocks across all three market conditions. Furthermore, the time-varying spillover analysis reveals that the connection between DeFi and commercial bank stocks intensifies during periods of high financial market volatility. These findings serve as an important source of information for investors and policymakers amid the ongoing digital transformation of Vietnam’s banking sector.
References
Abakah, E. J. A., Goodell, J. W., Sulong, Z., & Abdullah, M. (2024). Wavelet quantile correlation between DeFi assets and banking stocks. Finance Research Letters, 70, 106272.
Ali, S., & Manel, Y. (2025). Unlocking the diversification benefits of DeFi for ASEAN stock market portfolios: a quantile study. Financial Innovation, 11(1). https://doi.org/10.1186/s40854-024-00678-4
Ando, T., Greenwood-Nimmo, M., & Shin, Y. (2018). Quantile connectedness: Modelling tail behaviour in the topology of financial networks. SSRN Electronic Journal. https://doi.org/10.2139/ssrn.3164772
Asl, M. G., & Jabeur, S. B. (2024). Tail connectedness of DeFi and CeFi with accessible banking pillars: Unveiling novel insights through wavelet and quantile cross-spectral coherence analyses. International Review of Financial Analysis, 95, 103424. https://doi.org/10.1016/j.irfa.2024.103424
Bejaoui, A., Frikha, W., Jeribi, A., & Bariviera, A. F. (2023). Connectedness between emerging stock markets, gold, cryptocurrencies, DeFi and NFT: Some new evidence from wavelet analysis. Physica a Statistical Mechanics and Its Applications, 619, 128720. https://doi.org/10.1016/j.physa.2023.128720
Billah, M., Hoque, M. E., Hadhri, S., & Xuan, H., DO. (2024). Tail Risk Connectedness between DeFi and Islamic Assets and their determinants. International Review of Economics & Finance, 103789. https://doi.org/10.1016/j.iref.2024.103789
Bui, H. Q., Tran, T., Pham, T. T., Nguyen, H. L., & Vo, D. H. (2022. Market volatility and spillover across 24 sectors in Vietnam. Cogent Economics & Finance, 10(1). https://doi.org/10.1080/23322039.2022.2122188
Cevik, E. I., Gunay, S., Zafar, M. W., Destek, M. A., Bugan, M. F., & Tuna, F. (2022). The impact of digital finance on the natural resource market: Evidence from DeFi, oil, and gold. Resources Policy, 79, 103081. https://doi.org/10.1016/j.resourpol.2022.103081
Corbet, S., Goodell, J. W., & Günay, S. (2022). What drives DeFi prices? Investigating the effects of investor attention. Finance Research Letters, 48, 102883. https://doi.org/10.1016/j.frl.2022.102883
Chatziantoniou, I., Gabauer, D., & Stenfors, A. (2021). Interest rate swaps and the transmission mechanism of monetary policy: A quantile connectedness approach. Economics Letters, 204, 109891. https://doi.org/10.1016/j.econlet.2021.109891
Diebold, F. X., & Yilmaz, K. (2011). Better to give than to receive: Predictive directional measurement of volatility spillovers. International Journal of Forecasting, 28(1), 57-66. https://doi.org/10.1016/j.ijforecast.2011.02.006
Engle, R. (2002). Dynamic conditional correlation. Journal of Business and Economic Statistics, 20(3), 339-350. https://doi.org/10.1198/073500102288618487
Fan, X., Du, M., & Long, W. (2017). Risk spillover effect of Chinese commercial banks: Based on indicator method and COVAR approach. Procedia Computer Science, 122, 932-940. https://doi.org/10.1016/j.procs.2017.11.457
Huang, X., Liu, C., & Shu, T. (2023). Factors and anomalies in the Vietnamese stock market. Pacific-Basin Finance Journal, 82, 102176. https://doi.org/10.1016/j.pacfin.2023.102176
Hung, N. T. (2024). Price Spillovers from Decentralized Finance to CEE Stock Markets. Politická Ekonomie, 72(3), 565-596. https://doi.org/10.18267/j.polek.1416
Karim, S., Lucey, B. M., Naeem, M. A., & Uddin, G. S. (2022). Examining the interrelatedness of NFTs, DeFi tokens and cryptocurrencies. Finance Research Letters, 47, 102696. https://doi.org/10.1016/j.frl.2022.102696
Katsiampa, P., Yarovaya, L., & Zięba, D. (2022). High-frequency connectedness between Bitcoin and other top-traded crypto assets during the COVID-19 crisis. Journal of International Financial Markets Institutions and Money, 79, 101578. https://doi.org/10.1016/j.intfin.2022.101578
Koenker, R., & Bassett, G. (1978). Regression quantiles. Econometrica, 46(1), 33. https://doi.org/10.2307/1913643
Koop, G., Pesaran, M., & Potter, S. M. (1996). Impulse response analysis in nonlinear multivariate models. Journal of Econometrics, 74(1), 119-147. https://doi.org/10.1016/0304-4076(95)01753-4
Kroner, K. F., & Ng, V. K. (1998). Modeling asymmetric comovements of asset returns. Review of Financial Studies, 11(4), 817-844. https://doi.org/10.1093/rfs/11.4.817
Nyakurukwa, K., & Seetharam, Y. (2024). On bank stock return spillovers in South Africa: Implications for portfolio hedging. Scientific African, e02406. https://doi.org/10.1016/j.sciaf.2024.e02406
Pesaran, H., & Shin, Y. (1998). Generalized impulse response analysis in linear multivariate models. Economics Letters, 58(1), 17-29. https://doi.org/10.1016/s0165-1765(97)00214-0
Piñeiro-Chousa, J., López-Cabarcos, M. Á., Sevic, A., & González-López, I. (2022). A preliminary assessment of the performance of DeFi cryptocurrencies in relation to other financial assets, volatility, and user-generated content. Technological Forecasting and Social Change, 181, 121740. https://doi.org/10.1016/j.techfore.2022.121740
Schär, F. (2021). Decentralized Finance: on blockchain- and smart Contract-Based financial markets. Federal Reserve Bank of St. Louis - Review, 103(2). https://doi.org/10.20955/r.103.153-74
Shah, K., Lathiya, D., Lukhi, N., Parmar, K., & Sanghvi, H. (2023). A systematic review of decentralized finance protocols. International Journal of Intelligent Networks, 4, 171-181. https://doi.org/10.1016/j.ijin.2023.07.002
Ugolini, A., Reboredo, J. C., & Mensi, W. (2023). Connectedness between DeFi, cryptocurrency, stock, and safe-haven assets. Finance Research Letters, 53, 103692. https://doi.org/10.1016/j.frl.2023.103692
Younis, I., Gupta, H., Du, A. M., Shah, W. U., & Hanif, W. (2024). Spillover dynamics in DeFi, G7 banks, and equity markets during global crises: A TVP-VAR analysis. Research in International Business and Finance, 70, 102405. https://doi.org/10.1016/j.ribaf.2024.102405
Yousaf, I., & Yarovaya, L. (2022a). Herding behavior in conventional cryptocurrency market, non-fungible tokens, and DeFi assets. Finance Research Letters, 50, 103299. https://doi.org/10.1016/j.frl.2022.103299
Yousaf, I., & Yarovaya, L. (2022b). Static and dynamic connectedness between NFTs, Defi and other assets: Portfolio implication. Global Finance Journal, 53, 100719. https://doi.org/10.1016/j.gfj.2022.100719
Yousaf, I., Jareño, F., & Tolentino, M. (2022a). Connectedness between Defi assets and equity markets during COVID-19: A sector analysis. Technological Forecasting and Social Change, 187, 122174. https://doi.org/10.1016/j.techfore.2022.122174
Yousaf, I., Jareño, F., & Esparcia, C. (2022b). Tail connectedness between lending/borrowing tokens and commercial bank stocks. International Review of Financial Analysis, 84, 102417. https://doi.org/10.1016/j.irfa.2022.102417
Yousaf, I., Nekhili, R., & Gubareva, M. (2022c). Linkages between DeFi assets and conventional currencies: Evidence from the COVID-19 pandemic. International Review of Financial Analysis, 81, 102082. https://doi.org/10.1016/j.irfa.2022.102082
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