Cross-Market Interdependence among Asia-Pacific Countries: A Dynamic Herding Spillover Approach
Keywords:
Herding Spillover, Structural Change Model, Asia-Pacific Countries, Break DatesAbstract
This study investigates the cross-market interdependence among Asia-Pacific countries through dynamic herding spillover by using the structural change model of Bai and Perron (1998, 2003) from 2007-2022. The countries selected for the study are China, Japan, South Korea, India, the US, and Thailand. Results of the study depict herding spillover and co-movement among Asia-Pacific countries during turbulent regimes. The study shows mixed results for the sample countries. Pairwise herding co-movement is evident between the US-Japan, Japan-South Korea and South Korea-China during various contagious events such as Covid-19, the Great East Japan Earthquake, the Global Financial Crisis, and the Shanghai stock market crash. India is showing herding spillover from Japan and a co-movement with Thailand only. Moreover, one-way herding spillover is present from the US to South Korea due to the cryptocurrency crash. Furthermore, Thailand and its trading partners are following each other during various events. The stock market in Thailand appears to be highly interconnected with other Asia-Pacific markets and responsive to changes in market structure. All these findings show that the economies of Asia-Pacific countries are correlated with each other through herding spillover during various contagious events. Hence, investors should diversify their trading and asset allocation strategies during these turbulent regimes, as market risk increases during these events.
References
Alhaj-Yaseen, Y. S., & Rao, X. (2019). Does asymmetric information drive herding? An empirical analysis. Journal of Behavioral Finance, 20(4), 451–470.
Avery, C., & Zemsky, P. (1998). Multidimensional uncertainty and herd behavior in financial markets. American Economic Review, 88(4), 724–748.
Bai, J., & Perron, P. (1998). Estimating and testing linear models with multiple structural changes. Econometrica, 66(1), 47–78.
Bai, J., & Perron, P. (2003). Computation and analysis of multiple structural change models. Journal of Applied Econometrics, 18(1), 1–22.
Balcilar, M., Demirer, R., & Hammoudeh, S. (2013). Investor herds and regime-switching: Evidence from Gulf Arab stock markets. Journal of International Financial Markets, Institutions and Money, 23(1), 295–321.
Bekiros, S., Jlassi, M., Lucey, B., Naoui, K., & Uddin, G. S. (2017). Herding behavior, market sentiment and volatility: Will the bubble resume?. The North American Journal of Economics and Finance, 42, 107–131.
Benkraiem, R., Bouattour, M., Galariotis, E., & Miloudi, A. (2021). Do investors in SMEs herd? Evidence from French and UK equity markets. Small Business Economics, 56(4), 1619–1637.
Bikhchandani, S., Hirshleifer, D., & Welch, I. (1992). A theory of fads, fashion, custom, and cultural change as informational cascades. Journal of Political Economy, 100(5), 992–1026.
Bikhchandani, S., & Sharma, S. (2000). Herd behavior in financial markets. IMF Staff Papers, 47(3), 279–310.
Cakan, E., Demirer, R., Gupta, R., & Marfatia, H. A. (2019). Oil speculation and herding behavior in emerging stock markets. Journal of Economics and Finance, 43(1), 44–56.
Chang, E. C., Cheng, J. W., & Khorana, A. (2000). An examination of herd behavior in equity markets: An international perspective. Journal of Banking & Finance, 24(10), 1651–1679.
Chiang, T. C., & Zheng, D. (2010). An empirical analysis of herd behavior in global stock markets. Journal of Banking and Finance, 34(8), 1911–1921.
Choi, K. H., & Yoon, S. M. (2020). Investor sentiment and herding behavior in the korean stock market. International Journal of Financial Studies, 8(2), 34.
Choi, S. Y. (2022). Volatility spillovers among Northeast Asia and the US: Evidence from the global financial crisis and the COVID-19 pandemic. Economic Analysis and Policy, 73, 179–193.
Christie, W. G., & Huang, R. D. (1995). Following the pied piper: Do individual returns herd around the market?. Financial Analysts Journal, 51(4), 31–37.
Dewan, P., & Dharni, K. (2022). Herding and spillover effects in the Indian commodity futures market. Journal of Agribusiness in Developing and Emerging Economies, ahead-of-print.
Fasanya, I. O., Adekoya, O. B., & Ajayi, F. O. (2022). Oil price shocks and sectoral stocks in Nigeria: How relevant are asymmetry and structural breaks?. International Journal of Energy Sector Management, ahead-of-print.
Fu, J., & Wu, L. (2021). Regime-switching herd behavior: Novel evidence from the Chinese A-share market. Finance Research Letters, 39, 101652.
Galariotis, E. C., Rong, W., & Spyrou, S. I. (2015). Herding on fundamental information: A comparative study. Journal of Banking & Finance, 50, 589–598.
Gleason, K. C., Mathur, I., & Peterson, M. A. (2004). Analysis of intraday herding behavior among the sector ETFs. Journal of Empirical Finance, 11(5), 681–694.
History of Japanese market via Nikkei 225. Retrieved July 13, 2022, from https://indexes.nikkei.co.jp/70th/historyofthemarket-article.html
Hung, N. T. (2019). Return and volatility spillover across equity markets between China and Southeast Asian countries. Journal of Economics, Finance and Administrative Science, 24(47), 66–81.
Hwang, S., & Salmon, M. (2004). Market stress and herding. Journal of Empirical Finance, 11(4), 585–616.
Jiang, R., Wen, C., Zhang, R., & Cui, Y. (2022). Investor’s herding behavior in Asian equity markets during COVID-19 period. Pacific-Basin Finance Journal, 73, 101771.
Jirasakuldech, B., & Emekter, R. (2020). Empirical analysis of investors’ herding behaviours during the market structural changes and crisis events: Evidence from Thailand. Global Economic Review, 50(2), 139–168.
Klein, A. C. (2013). Time-variations in herding behavior: Evidence from a Markov switching SUR model. Journal of International Financial Markets, Institutions and Money, 26, 291–304.
Krokida, S. I., Makrychoriti, P., & Spyrou, S. (2020). Monetary policy and herd behavior: International evidence. Journal of Economic Behavior & Organization, 170, 386–417.
Lao, P., & Singh, H. (2011). Herding behaviour in the Chinese and Indian stock markets. Journal of Asian Economics, 22(6), 495–506.
Litimi, H. (2017). Herd behavior in the French stock market. Review of Accounting and Finance, 16(4), 497–515.
Liu, J., Wu, S., & Zidek, J. V. (1997). On segmented multivariate regression. Statistica Sinica, 7(2), 497–525.
Mand, A. A., & Sifat, I. (2021). Static and regime-dependent herding behavior: An emerging market case study. Journal of Behavioral and Experimental Finance, 29, 100466.
Merwin, R. (2021). India is so far the worst performing market of 2019 Retrieve from The Hindu Business Line. https://www.thehindubusinessline.com/markets/stock-markets/india-is-so-far-the-worst-performing-market-of-2019/article28921780.ece
Mishra, A. K., Agrawal, S., & Patwa, J. A. (2022). Return and volatility spillover between India and leading Asian and global equity markets: An empirical analysis. Journal of Economics, Finance and Administrative Science, 27(54), 294–312.
Mitchell, C. (2021). The two biggest flash crashes of 2015. Retrieve from https://www.investopedia.com/articles/investing/011116/two-biggest-flash-crashes-2015.asp
Nimanussornkul, K., & Nimanussornkul, C. (2021). Herding behavior from loss aversion effect in the Stock Exchange of Thailand. Behavioral Predictive Modeling in Economics, 897, 317–332.
Scharfstein, D. S., & Stein, J. C. (1990). Herd behavior and investment. The American Economic Review, 80(3), 465–479.
Shi, Y. (2022). What influences stock market co-movements between China and its Asia-Pacific trading partners after the Global Financial Crisis?. Pacific-Basin Finance Journal, 72, 101722.
Stavroyiannis, S., & Babalos, V. (2020). Time-varying herding behavior within the Eurozone stock markets during crisis periods: Novel evidence from a TVP model. Review of Behavioral Finance, 12(2), 83–96.
Syriopoulos, T., & Bakos, G. (2019). Investor herding behaviour in globally listed shipping stocks. Maritime Policy & Management, 46(5), 545–564.
Tan, L., Chiang, T. C., Mason, J. R., & Nelling, E. (2008). Herding behavior in Chinese stock markets: An examination of A and B shares. Pacific Basin Finance Journal, 16(1–2), 61–77.
UNCTAD. (2021). A new centre of gravity: The regional comprehensive economic partnership and its trade effects. Retrieve from https://unctad.org/webflyer/new-centre-gravity-regional-comprehensive-economic-partnership-and-its-trade-effects
UNCTAD. (2022). World investment report. Retrieve from https://unctad.org/system/files/official-document/wir2022_overview_en.pdf
Williams, W. (2022 ). Timeline of U.S. stock market crashes. Retrieve from https://www.investopedia.com/timeline-of-stock-market-crashes-5217820
Nikkei crash: Japan’s worst stock market slumps (2016) Retrived from https://www.livemint.com/Money/T1DfQsEOYivkMu49el8eoN/Nikkei-crash-Japans-worst-stock-market-slumps.html
Leading trade partners with the United States 2021. Retrived from https://www.statista.com/statistics/218287/value-of-us-trade-in-goods-with-selected-countries-in-2011/
GDP - Countries - List | Asia (2021). Retrived from https://tradingeconomics.com/country-list/gdp?continent=asia
Yadav, M. P., Sharma, S., & Bhardwaj, I. (2023). Volatility spillover between chinese stock market and selected emerging economies: a dynamic conditional correlation and portfolio optimization perspective. Asia-Pacific Financial Markets 30, 427-444
Yasir, M., & Önder, A. Ö. (2022). Time-varying herding spillover for emerging countries: Evidence from BRIC countries and Turkey. Review of Behavioral Finance, ahead-of-print.
Yasir, M., & Önder Özlem, A. (2021). Dynamic herding behaviour in the US stock market. Prague Economic Papers, 30(1), 115–130.
Zheng, D., Li, H., & Chiang, T. C. (2017). Herding within industries: Evidence from Asian stock markets. International Review of Economics & Finance, 51, 487–509.
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