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Evolution of the relative efficiency of CDS and equity markets in Japan: Does one market have a long-term informational advantage over the other?

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  • Procasky, William J.
  • Yin, Anwen

Abstract

Using indices, we comprehensively examine the existence, strength and evolution of cross-market informational flow in the Japanese CDS and equity markets from 2004–2024. We find empirical evidence confirming the existence of such flow in both directions, and that the Japanese CDS market enjoys a significant informational advantage relative to the equity market overall, except during times of great upheaval. However, further analysis reveals that the observed flow is not stable over time, with the early half of the sample accounting for the most pronounced results. We explain this change in flow strength by providing evidence of structural breaks, and identify key factors related to market structure, international trade, market sentiment and health policy which drive such change.

Suggested Citation

  • Procasky, William J. & Yin, Anwen, 2025. "Evolution of the relative efficiency of CDS and equity markets in Japan: Does one market have a long-term informational advantage over the other?," Pacific-Basin Finance Journal, Elsevier, vol. 92(C).
  • Handle: RePEc:eee:pacfin:v:92:y:2025:i:c:s0927538x25001441
    DOI: 10.1016/j.pacfin.2025.102807
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    1. Marsch, I. & Wagner, W.B., 2012. "Why is Price Discovery in Credit Default Swap Markets News-Specific?," Discussion Paper 2012-006, Tilburg University, Center for Economic Research.
    2. Bouri, Elie & Cepni, Oguzhan & Gabauer, David & Gupta, Rangan, 2021. "Return connectedness across asset classes around the COVID-19 outbreak," International Review of Financial Analysis, Elsevier, vol. 73(C).
    3. Rossi, Barbara, 2005. "Optimal Tests For Nested Model Selection With Underlying Parameter Instability," Econometric Theory, Cambridge University Press, vol. 21(5), pages 962-990, October.
    4. Byström, Hans, 2021. "Credit Risk in a Pandemic," Working Papers 2021:1, Lund University, Department of Economics.
    5. John Y. Campbell & Samuel B. Thompson, 2008. "Predicting Excess Stock Returns Out of Sample: Can Anything Beat the Historical Average?," The Review of Financial Studies, Society for Financial Studies, vol. 21(4), pages 1509-1531, July.
    6. Francis A. Longstaff & Sanjay Mithal & Eric Neis, 2005. "Corporate Yield Spreads: Default Risk or Liquidity? New Evidence from the Credit Default Swap Market," Journal of Finance, American Finance Association, vol. 60(5), pages 2213-2253, October.
    7. Graham Elliott & Ulrich K. Muller, 2006. "Efficient Tests for General Persistent Time Variation in Regression Coefficients," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 73(4), pages 907-940.
    8. Narayan, Paresh Kumar & Sharma, Susan Sunila & Thuraisamy, Kannan Sivananthan, 2014. "An analysis of price discovery from panel data models of CDS and equity returns," Journal of Banking & Finance, Elsevier, vol. 41(C), pages 167-177.
    9. Ivo Welch & Amit Goyal, 2008. "A Comprehensive Look at The Empirical Performance of Equity Premium Prediction," The Review of Financial Studies, Society for Financial Studies, vol. 21(4), pages 1455-1508, July.
    10. Lars Norden & Martin Weber, 2009. "The Co†movement of Credit Default Swap, Bond and Stock Markets: an Empirical Analysis," European Financial Management, European Financial Management Association, vol. 15(3), pages 529-562, June.
    11. Forte, Santiago & Peña, Juan Ignacio, 2009. "Credit spreads: An empirical analysis on the informational content of stocks, bonds, and CDS," Journal of Banking & Finance, Elsevier, vol. 33(11), pages 2013-2025, November.
    12. Andrews, Donald W K & Ploberger, Werner, 1994. "Optimal Tests When a Nuisance Parameter Is Present Only under the Alternative," Econometrica, Econometric Society, vol. 62(6), pages 1383-1414, November.
    13. Marsch, I. & Wagner, W.B., 2012. "Why is Price Discovery in Credit Default Swap Markets News-Specific?," Discussion Paper 2012-006, Tilburg University, Center for Economic Research.
    14. Marsch, I. & Wagner, W.B., 2012. "Why is Price Discovery in Credit Default Swap Markets News-Specific?," Other publications TiSEM 9c18cb4a-9339-4b03-be1f-7, Tilburg University, School of Economics and Management.
    15. Raffaella Giacomini & Barbara Rossi, 2009. "Detecting and Predicting Forecast Breakdowns," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 76(2), pages 669-705.
    16. Francis X. Diebold, 2015. "Comparing Predictive Accuracy, Twenty Years Later: A Personal Perspective on the Use and Abuse of Diebold-Mariano Tests," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 33(1), pages 1-1, January.
    17. Norden, Lars & Weber, Martin, 2004. "Informational efficiency of credit default swap and stock markets: The impact of credit rating announcements," Journal of Banking & Finance, Elsevier, vol. 28(11), pages 2813-2843, November.
    18. Procasky, William J. & Yin, Anwen, 2023. "The impact of COVID-19 on the relative market efficiency and forecasting ability of credit derivative and equity markets," International Review of Financial Analysis, Elsevier, vol. 90(C).
    19. Rodríguez-Moreno, María & Peña, Juan Ignacio, 2013. "Systemic risk measures: The simpler the better?," Journal of Banking & Finance, Elsevier, vol. 37(6), pages 1817-1831.
    20. Hans Byström, 2006. "CreditGrades and the iTraxx CDS Index Market," Financial Analysts Journal, Taylor & Francis Journals, vol. 62(6), pages 65-76, November.
    21. Marsch, I. & Wagner, W.B., 2012. "Why is Price Discovery in Credit Default Swap Markets News-Specific?," Other publications TiSEM 2085f4c9-2035-489f-ae63-4, Tilburg University, School of Economics and Management.
    22. Raffaella Giacomini & Barbara Rossi, 2010. "Forecast comparisons in unstable environments," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 25(4), pages 595-620.
    23. David E. Rapach & Jack K. Strauss & Guofu Zhou, 2010. "Out-of-Sample Equity Premium Prediction: Combination Forecasts and Links to the Real Economy," The Review of Financial Studies, Society for Financial Studies, vol. 23(2), pages 821-862, February.
    24. Diebold, Francis X & Mariano, Roberto S, 2002. "Comparing Predictive Accuracy," Journal of Business & Economic Statistics, American Statistical Association, vol. 20(1), pages 134-144, January.
    25. Liu, Ya & Qiu, Buhui & Wang, Teng, 2021. "Debt rollover risk, credit default swap spread and stock returns: Evidence from the COVID-19 crisis," Journal of Financial Stability, Elsevier, vol. 53(C).
    26. Marsh, Ian W. & Wagner, Wolf, 2012. "Why is price discovery in credit default swap markets news-specific?," Bank of Finland Research Discussion Papers 6/2012, Bank of Finland.
    27. Acharya, Viral V. & Johnson, Timothy C., 2007. "Insider trading in credit derivatives," Journal of Financial Economics, Elsevier, vol. 84(1), pages 110-141, April.
    28. Clark, Todd & McCracken, Michael, 2013. "Advances in Forecast Evaluation," Handbook of Economic Forecasting, in: G. Elliott & C. Granger & A. Timmermann (ed.), Handbook of Economic Forecasting, edition 1, volume 2, chapter 0, pages 1107-1201, Elsevier.
    29. Clark, Todd E. & West, Kenneth D., 2007. "Approximately normal tests for equal predictive accuracy in nested models," Journal of Econometrics, Elsevier, vol. 138(1), pages 291-311, May.
    30. Hilscher, Jens & Pollet, Joshua M. & Wilson, Mungo, 2015. "Are Credit Default Swaps a Sideshow? Evidence That Information Flows from Equity to CDS Markets," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 50(3), pages 543-567, June.
    31. William J. Procasky & Anwen Yin, 2022. "Forecasting high‐yield equity and CDS index returns: Does observed cross‐market informational flow have predictive power?," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 42(8), pages 1466-1490, August.
    32. José Da Fonseca & Katrin Gottschalk, 2020. "The Co‐Movement of Credit Default Swap Spreads, Equity Returns and Volatility: Evidence from Asia‐Pacific Markets," International Review of Finance, International Review of Finance Ltd., vol. 20(3), pages 551-579, September.
    33. Procasky, William J., 2021. "Price discovery in CDS and equity markets: Default risk-based heterogeneity in the systematic investment grade and high yield sectors," Journal of Financial Markets, Elsevier, vol. 54(C).
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    Keywords

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    JEL classification:

    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
    • C58 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Financial Econometrics
    • G01 - Financial Economics - - General - - - Financial Crises
    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading
    • G15 - Financial Economics - - General Financial Markets - - - International Financial Markets
    • G17 - Financial Economics - - General Financial Markets - - - Financial Forecasting and Simulation

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