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Speculative Behavior in Technology Stocks-Related Investment: Implications For Japan's Financial Stability

Year 2025, Volume: 9 Issue: 2, 1115 - 1154
https://doi.org/10.30561/sinopusd.1628914

Abstract

Bu çalışma, 1 Ocak 2015'ten 31 Temmuz 2024'e kadar olan dönemde yapay zeka ile ilgili yatırımlardaki spekülatif davranışın Japonya'nın finansal piyasaları üzerindeki etkisini araştırmaktadır. GSADF testi ve dalgacık tutarlılık analizi kullanılarak elde edilen bulgular, özellikle 2020-2021 döneminde YZ ile ilgili hisse senetlerinde çoklu spekülatif balonları ve bunların Japonya'nın TOPIX ITC endeksi ile güçlü senkronizasyonunu ortaya koymaktadır. Düzenleyici reformlara ve geçmiş krizlerden alınan derslere rağmen, YZ ile ilgili yatırımlardaki küresel eğilimler genellikle yerel piyasalarda değişikliklere yol açtığından, Japonya'nın finansal sistemi dış spekülatif baskılara karşı savunmasız kalmaktadır. Bu sonuçlar, küresel spekülatif davranışlardan kaynaklanan riskleri yönetmek için sınır ötesi düzenleyici işbirliğine ve sektöre özgü izleme çerçevelerine duyulan ihtiyacı vurgulamaktadır. Küresel teknolojik inovasyon ve yerel finansal istikrarın kesişimini ele alan bu çalışma, politika yapıcılar için uygulanabilir bilgiler sunmakta ve küresel spekülatif eğilimlerin ulusal finansal ekosistemleri nasıl şekillendirdiğine dair daha geniş bir anlayışa katkıda bulunmaktadır.

References

  • Adeosun, O. A., Tabash, M. I., Vo, X. V. & Anagreh, S. (2023). Uncertainty measures and inflation dynamics in selected global players: a wavelet approach. 57(4). Springer Netherlands. doi:10.1007/s11135-022-01513-7
  • Ahmed, M., Irfan, M., Meero, A., Tariq, M., Comite, U., Abdul Rahman, A. A., Sial, M. S., & Gunnlaugsson, S. B. (2022).
  • Bubble Identification in the Emerging Economy Fuel Price Series: Evidence from Generalized Sup Augmented Dickey–Fuller Test. Processes, 10(1), 65. https://doi.org/10.3390/pr10010065
  • Aguiar-Conraria, L., Azevedo, N., & Soares, M. J. (2008). Using wavelets to decompose the time–frequency effects of monetary policy. Physica A: Statistical Mechanics and its Applications, 387(12), 2863-2878. doi: 10.1016/j.physa.2008.01.063.
  • Areal, F. J., Balcombe, K., Rapsomanikis, G. (2016). Testing for Bubbles in Agriculture Commodity Markets. Economia Agraria y Recursos Naturales, 16(1), 59–79. doi: 10.7201/earn.2016.01.04.
  • Baruník, J., Vácha, L., & Krištoufek, L. (2011). Comovement of Central European stock markets using wavelet coherence: Evidence from high-frequency data, Working Papers IES 2011/22, Charles University Prague, Faculty of Social Sciences, Institute of Economic Studies.
  • Campello, M., & Graham, J. R. (2013). Do stock prices influence corporate decisions? Evidence from the technology bubble. Journal of Financial Economics, 107(1), 89–110. https://doi.org/10.1016/j.jfineco.2012.08.002 Chan-Lau, J. & Ivaschenko, I. (2003). Asian Flu or Wall Street virus? Tech and non-tech spillovers in the United States and Asia, Journal of Multinational Financial Management, 13. 303-322. 10.1016/S1042-444X(03)00013-6.
  • Çıtak, F. (2019). Türkiye Hisse Senedi Piyasasında Spekülatif Balon Varlığının Ampirik İncelenmesi. Uluslararası Ekonomi ve Yenilik Dergisi, 5(2), 247-262. doi: 10.20979/ueyd.582296.
  • Fruehwirt, W., Hochfilzer, L., Weydemann, L., & Roberts, S. (2020). Cumulation, crash, coherency: A cryptocurrency bubble wavelet analysis, Finance Research Letters, 40 (June 2020), 101668. doi: 10.1016/j.frl.2020.101668.
  • Grinsted, A., Moore, J. C., & Jevrejeva, S. (2004). Application of the cross wavelet transform and wavelet coherence to geophysical time series, Nonlin. Processes Geophys., 11, 561–566. https://doi.org/10.5194/npg-11-561-2004
  • Hafsal, K. & Durai, S.R.S. (2023). Fundamental and bubble spillovers in stock markets: a common trend approach. SN Business & Economics, 3(78), 1-17. https://doi.org/10.1007/s43546-023-00437-0
  • Hu, Y., & Oxley, L. (2018). Bubbles in US Regional House Prices: Evidence from House Price–Income Ratios at the State Level. Applied Economics, 50(29), 3196–3229. doi: 10.1080/00036846.2017.1418080.
  • Hu, Y., & Oxley, L. (2018). Bubble contagion: Evidence from Japan's asset price bubble of the 1980–90s. Journal of the Japanese and International Economies, 50, 89–95.
  • Kassouri, Y., Kacou, K.Y.T. & Alola, A.A. (2021). Are oil-clean energy and high technology stock prices in the same straits? Bubbles speculation and time-varying perspectives. Energy, 232: 121021. https://doi.org/10.1016/j.energy.2021.121021
  • Kaizoji, T., & Sornette, D. (2008). Market bubbles and crashes. arXiv preprint arXiv:0812.2449. doi: 10.48550/arXiv.0812.2449.
  • Kang, S. H., McIver, R. P., and Hernandez, J. A. (2019). Co-movements between Bitcoin and Gold: A Wavelet Coherence Analysis. Phys. A Stat. Mech. its Appl. 536, 120888. doi:10.1016/j.physa.2019.04.124
  • Kirikkaleli, D., Çağlar, E., & Onyibor, K. (2020). Crypto-currency: Empirical evidence from GSADF and wavelet coherence techniques. Accounting. 6. 199-208. 10.5267/j.ac.2019.10.003.
  • Mandler, M., & Scharnagl, M. (2022). Financial cycles across G7 economies: A view from wavelet analysis. The Journal of Economic Asymmetries, Elsevier, 26(C). doi: 10.1016/j.jeca.2022.e00277.
  • Matar, A., Al-Rdaydeh, M., Ghazalat, A., & Eneizan, B. (2021). Co-movement between GCC stock markets and the US stock markets: A wavelet coherence analysis. Cogent Business & Management, 8(1). https://doi.org/10.1080/23311975.2021.1948658
  • Minsky, H. P. (1977). The financial instability hypothesis: An interpretation of Keynes and an alternative to “standard” theory. Challenge, Taylor & Francis Journals, 20(1), 20-27.
  • Nneji, O. (2015). Liquidity shocks and stock bubbles,” J. Int. Financ. Mark. Institutions Money, 35,132–146. doi: 10.1016/j.intfin.2014.12.010.
  • Ofek, Eli. (2001). DotCom Mania: The Rise and Fall of Internet Stock Prices. [Online]. Available: http://www.nber.org/papers/w8630%0ANATIONAL
  • Qin, M., Su, C.-W., Qiu, L., & Lobonţ, O.-R. (2024). Are there digital tech bubbles in China? Technological and Economic Development of Economy, 30(3), 603–626. https://doi.org/10.3846/tede.2023.19417
  • Qin, M., Mirza, N., ., Su, C.-W., & Umar, M. (2023). Exploring Bubbles in the Digital Economy: The Case of China. Global Finance Journal, 57, 100871. doi: 10.1016/j.gfj.2023.100871.
  • Patel, P. (2024). Stock Market Bubble- Investigate Cause and Effect of Stock Market Bubbles and Examine How Bubbles can be Identified and Prevented,” Integr. J. Res. Arts Humanit., 4 (4), 150–157. doi: 10.55544/ijrah.4.4.24.
  • Paul, M., Bhanja, N., & Dar, A. B. (2019). Gold, gold mining stocks and equities- partial wavelet coherence evidence from developed countries. Resources Policy, 62(August), 378-384. doi: 10.1016/j.resourpol.2019.04.012.
  • Pavlidis, E. G. & Vasilopoulos, K. (2020). Speculative bubbles in segmented markets: Evidence from Chinese cross-listed stocks. Journal of International Money and Finance, Elsevier, vol. 109(C). doi: 10.1016/j.jimonfin.2020.102222.
  • Phillips R.C., & Gorse, D. (2018). Cryptocurrency price drivers: Wavelet coherence analysis revisited. PLoS ONE, 13(4), 1-21. https://doi.org/10.1371/journal.pone.0195200
  • Phillips, P. C. B., Shi, S., & Yu, J. (2015). Testing For Multiple Bubbles: Historical Episodes Of Exuberance and Collapse In The S&P 500. International Eco-nomic Review, 56(4), 1043-1078. doi: 10.1111/iere.12132.
  • Phillips P.C.B., Wu, Y., & Yu, J. (2011). Explosive Behavior in the 1990s NASDAQ: When Did Exuberance Escalate Asset Values?. International Economic Review, 52(1), 201–226.
  • Phillips, P. C. B. & Shi, S. (2020). Real Time Monitoring of Asset Markets: Bubbles and Crises. 1st ed., 42. Elsevier B.V. doi: 10.1016/bs.host.2018.12.002.
  • Sargen, N.P. (2016). Global Shocks an Investment Guide for Turbulent Markets. Cham: Springer International Publishing. doi: 10.1007/978-3-319-41105-7.
  • Su, C. W., Wang, K. H., Shao, Q., & Tao, R. (2019). Are there bubbles in the shipping freight market?. Maritime Policy & Management, 46(7), 818–830. https://doi.org/10.1080/03088839.2019.1619946
  • Tarkun, S. & Çınar, M. (2024). Bubble Spillover of Assets: Evidence from the Exchange Rates of Some Newly Industrialized Countries. EKOIST Journal of Econometrics and Statistics, 41, 22-33.
  • Teti, E. & Maroni, D. (2021). The new great bubble in the technology industry? Technology Analysis and Strategic Management, 33(5): 520–534. https://doi.org/10.1080/09537325.2020.1828577
  • Torrence, C. and Compo, G.P. (1998) A Practical Guide to Wavelet Analysis. Bulletin of the American Meteorological Society, 79, 61-78.
  • https://doi.org/10.1175/1520-0477(1998)079<0061:APGTWA>2.0.CO;2
  • Torrence, C. and Webster, P.J. (1999) Interdecadal Changes in the ENSO-Monsoon System. Journal of Climate, 12, 2679-2690. http://dx.doi.org/10.1175/1520-0442(1999)012<2679:ICITEM>2.0.CO;2
  • Quinn, W. & Turner, J.D. (2023). Bubbles in history. Bus. Hist., 65 (4), 636–655, 2023. doi: 10.1080/00076791.2020.1844668.

SPECULATIVE BEHAVIOR IN TECHNOLOGY STOCKS-RELATED INVESTMENTS: IMPLICATIONS FOR JAPAN’S FINANCIAL STABILITY

Year 2025, Volume: 9 Issue: 2, 1115 - 1154
https://doi.org/10.30561/sinopusd.1628914

Abstract

This study investigates the impact of speculative behavior in AI-related investments on Japan’s financial markets during the period from January 1, 2015, to July 31, 2024. Employing the GSADF test and wavelet coherence analysis, the findings reveal multiple speculative bubbles in AI-related stocks, particularly during 2020-2021, and their strong synchronization with Japan’s TOPIX ITC index. Despite regulatory reforms and lessons from past crises, Japan’s financial system remains vulnerable to external speculative pressures, as global trends in AI-related investments often lead to changes in local markets. These results emphasize the need for cross-border regulatory cooperation and sector-specific monitoring frameworks to manage risks stemming from global speculative behaviors. By addressing the intersection of global technological innovation and local financial stability, this study offers actionable insights for policymakers and contributes to the broader understanding of how global speculative trends shape national financial ecosystems.

References

  • Adeosun, O. A., Tabash, M. I., Vo, X. V. & Anagreh, S. (2023). Uncertainty measures and inflation dynamics in selected global players: a wavelet approach. 57(4). Springer Netherlands. doi:10.1007/s11135-022-01513-7
  • Ahmed, M., Irfan, M., Meero, A., Tariq, M., Comite, U., Abdul Rahman, A. A., Sial, M. S., & Gunnlaugsson, S. B. (2022).
  • Bubble Identification in the Emerging Economy Fuel Price Series: Evidence from Generalized Sup Augmented Dickey–Fuller Test. Processes, 10(1), 65. https://doi.org/10.3390/pr10010065
  • Aguiar-Conraria, L., Azevedo, N., & Soares, M. J. (2008). Using wavelets to decompose the time–frequency effects of monetary policy. Physica A: Statistical Mechanics and its Applications, 387(12), 2863-2878. doi: 10.1016/j.physa.2008.01.063.
  • Areal, F. J., Balcombe, K., Rapsomanikis, G. (2016). Testing for Bubbles in Agriculture Commodity Markets. Economia Agraria y Recursos Naturales, 16(1), 59–79. doi: 10.7201/earn.2016.01.04.
  • Baruník, J., Vácha, L., & Krištoufek, L. (2011). Comovement of Central European stock markets using wavelet coherence: Evidence from high-frequency data, Working Papers IES 2011/22, Charles University Prague, Faculty of Social Sciences, Institute of Economic Studies.
  • Campello, M., & Graham, J. R. (2013). Do stock prices influence corporate decisions? Evidence from the technology bubble. Journal of Financial Economics, 107(1), 89–110. https://doi.org/10.1016/j.jfineco.2012.08.002 Chan-Lau, J. & Ivaschenko, I. (2003). Asian Flu or Wall Street virus? Tech and non-tech spillovers in the United States and Asia, Journal of Multinational Financial Management, 13. 303-322. 10.1016/S1042-444X(03)00013-6.
  • Çıtak, F. (2019). Türkiye Hisse Senedi Piyasasında Spekülatif Balon Varlığının Ampirik İncelenmesi. Uluslararası Ekonomi ve Yenilik Dergisi, 5(2), 247-262. doi: 10.20979/ueyd.582296.
  • Fruehwirt, W., Hochfilzer, L., Weydemann, L., & Roberts, S. (2020). Cumulation, crash, coherency: A cryptocurrency bubble wavelet analysis, Finance Research Letters, 40 (June 2020), 101668. doi: 10.1016/j.frl.2020.101668.
  • Grinsted, A., Moore, J. C., & Jevrejeva, S. (2004). Application of the cross wavelet transform and wavelet coherence to geophysical time series, Nonlin. Processes Geophys., 11, 561–566. https://doi.org/10.5194/npg-11-561-2004
  • Hafsal, K. & Durai, S.R.S. (2023). Fundamental and bubble spillovers in stock markets: a common trend approach. SN Business & Economics, 3(78), 1-17. https://doi.org/10.1007/s43546-023-00437-0
  • Hu, Y., & Oxley, L. (2018). Bubbles in US Regional House Prices: Evidence from House Price–Income Ratios at the State Level. Applied Economics, 50(29), 3196–3229. doi: 10.1080/00036846.2017.1418080.
  • Hu, Y., & Oxley, L. (2018). Bubble contagion: Evidence from Japan's asset price bubble of the 1980–90s. Journal of the Japanese and International Economies, 50, 89–95.
  • Kassouri, Y., Kacou, K.Y.T. & Alola, A.A. (2021). Are oil-clean energy and high technology stock prices in the same straits? Bubbles speculation and time-varying perspectives. Energy, 232: 121021. https://doi.org/10.1016/j.energy.2021.121021
  • Kaizoji, T., & Sornette, D. (2008). Market bubbles and crashes. arXiv preprint arXiv:0812.2449. doi: 10.48550/arXiv.0812.2449.
  • Kang, S. H., McIver, R. P., and Hernandez, J. A. (2019). Co-movements between Bitcoin and Gold: A Wavelet Coherence Analysis. Phys. A Stat. Mech. its Appl. 536, 120888. doi:10.1016/j.physa.2019.04.124
  • Kirikkaleli, D., Çağlar, E., & Onyibor, K. (2020). Crypto-currency: Empirical evidence from GSADF and wavelet coherence techniques. Accounting. 6. 199-208. 10.5267/j.ac.2019.10.003.
  • Mandler, M., & Scharnagl, M. (2022). Financial cycles across G7 economies: A view from wavelet analysis. The Journal of Economic Asymmetries, Elsevier, 26(C). doi: 10.1016/j.jeca.2022.e00277.
  • Matar, A., Al-Rdaydeh, M., Ghazalat, A., & Eneizan, B. (2021). Co-movement between GCC stock markets and the US stock markets: A wavelet coherence analysis. Cogent Business & Management, 8(1). https://doi.org/10.1080/23311975.2021.1948658
  • Minsky, H. P. (1977). The financial instability hypothesis: An interpretation of Keynes and an alternative to “standard” theory. Challenge, Taylor & Francis Journals, 20(1), 20-27.
  • Nneji, O. (2015). Liquidity shocks and stock bubbles,” J. Int. Financ. Mark. Institutions Money, 35,132–146. doi: 10.1016/j.intfin.2014.12.010.
  • Ofek, Eli. (2001). DotCom Mania: The Rise and Fall of Internet Stock Prices. [Online]. Available: http://www.nber.org/papers/w8630%0ANATIONAL
  • Qin, M., Su, C.-W., Qiu, L., & Lobonţ, O.-R. (2024). Are there digital tech bubbles in China? Technological and Economic Development of Economy, 30(3), 603–626. https://doi.org/10.3846/tede.2023.19417
  • Qin, M., Mirza, N., ., Su, C.-W., & Umar, M. (2023). Exploring Bubbles in the Digital Economy: The Case of China. Global Finance Journal, 57, 100871. doi: 10.1016/j.gfj.2023.100871.
  • Patel, P. (2024). Stock Market Bubble- Investigate Cause and Effect of Stock Market Bubbles and Examine How Bubbles can be Identified and Prevented,” Integr. J. Res. Arts Humanit., 4 (4), 150–157. doi: 10.55544/ijrah.4.4.24.
  • Paul, M., Bhanja, N., & Dar, A. B. (2019). Gold, gold mining stocks and equities- partial wavelet coherence evidence from developed countries. Resources Policy, 62(August), 378-384. doi: 10.1016/j.resourpol.2019.04.012.
  • Pavlidis, E. G. & Vasilopoulos, K. (2020). Speculative bubbles in segmented markets: Evidence from Chinese cross-listed stocks. Journal of International Money and Finance, Elsevier, vol. 109(C). doi: 10.1016/j.jimonfin.2020.102222.
  • Phillips R.C., & Gorse, D. (2018). Cryptocurrency price drivers: Wavelet coherence analysis revisited. PLoS ONE, 13(4), 1-21. https://doi.org/10.1371/journal.pone.0195200
  • Phillips, P. C. B., Shi, S., & Yu, J. (2015). Testing For Multiple Bubbles: Historical Episodes Of Exuberance and Collapse In The S&P 500. International Eco-nomic Review, 56(4), 1043-1078. doi: 10.1111/iere.12132.
  • Phillips P.C.B., Wu, Y., & Yu, J. (2011). Explosive Behavior in the 1990s NASDAQ: When Did Exuberance Escalate Asset Values?. International Economic Review, 52(1), 201–226.
  • Phillips, P. C. B. & Shi, S. (2020). Real Time Monitoring of Asset Markets: Bubbles and Crises. 1st ed., 42. Elsevier B.V. doi: 10.1016/bs.host.2018.12.002.
  • Sargen, N.P. (2016). Global Shocks an Investment Guide for Turbulent Markets. Cham: Springer International Publishing. doi: 10.1007/978-3-319-41105-7.
  • Su, C. W., Wang, K. H., Shao, Q., & Tao, R. (2019). Are there bubbles in the shipping freight market?. Maritime Policy & Management, 46(7), 818–830. https://doi.org/10.1080/03088839.2019.1619946
  • Tarkun, S. & Çınar, M. (2024). Bubble Spillover of Assets: Evidence from the Exchange Rates of Some Newly Industrialized Countries. EKOIST Journal of Econometrics and Statistics, 41, 22-33.
  • Teti, E. & Maroni, D. (2021). The new great bubble in the technology industry? Technology Analysis and Strategic Management, 33(5): 520–534. https://doi.org/10.1080/09537325.2020.1828577
  • Torrence, C. and Compo, G.P. (1998) A Practical Guide to Wavelet Analysis. Bulletin of the American Meteorological Society, 79, 61-78.
  • https://doi.org/10.1175/1520-0477(1998)079<0061:APGTWA>2.0.CO;2
  • Torrence, C. and Webster, P.J. (1999) Interdecadal Changes in the ENSO-Monsoon System. Journal of Climate, 12, 2679-2690. http://dx.doi.org/10.1175/1520-0442(1999)012<2679:ICITEM>2.0.CO;2
  • Quinn, W. & Turner, J.D. (2023). Bubbles in history. Bus. Hist., 65 (4), 636–655, 2023. doi: 10.1080/00076791.2020.1844668.
There are 39 citations in total.

Details

Primary Language Turkish
Subjects Econometrics (Other)
Journal Section Research Article
Authors

Şerife Akıncı Tok 0000-0002-2505-1985

Early Pub Date November 27, 2025
Publication Date November 28, 2025
Submission Date January 30, 2025
Acceptance Date July 15, 2025
Published in Issue Year 2025 Volume: 9 Issue: 2

Cite

APA Akıncı Tok, Ş. (2025). Speculative Behavior in Technology Stocks-Related Investment: Implications For Japan’s Financial Stability. Sinop Üniversitesi Sosyal Bilimler Dergisi, 9(2), 1115-1154. https://doi.org/10.30561/sinopusd.1628914