Implication of Mandatory Trading Report: Evidence from the Thai Bond Market

Main Article Content

Sirimon Treepongkaruna
Tanakorn Likitapiwat
Worapree Maneesoonthorn

Abstract

Motivated by mixed evidence on market transparency and two regulatory changes introduced by the Thai Bond Market Association (ThaiBMA) in 2006 and 2009, this study examines their effects on bond liquidity and extreme price jumps. The 2006 regulation required the reporting of trading information within 30 minutes, and the 2009 regulation imposed penalties for late, erroneous, or missing reports. Using 745,911 Thai government bond transactions from 2002 to 2019, we find that mandatory reporting reduced average reporting delays by about 49–59 seconds, while the introduction of penalties reinforced compliance. Liquidity improved, with the 2006 regulation linked to a 46 basis point increase in turnover, although effects after 2009 were less pronounced. Most strikingly, the frequency of extreme price jumps declined sharply: only one weekly jump was detected across four actively traded bonds after 2006, compared with frequent jumps beforehand. These results demonstrate that even modest improvements in reporting timeliness can enhance transparency, strengthen investor confidence, and reduce tail-risk exposure. Overall, regulatory enforcement contributed to more stable market conditions and may lower the cost of capital in emerging bond markets.

Article Details

How to Cite
Treepongkaruna, S. . ., Likitapiwat, T. . ., & Maneesoonthorn, W. . . (2025). Implication of Mandatory Trading Report: Evidence from the Thai Bond Market. Creative Business and Sustainability Journal, 47(2), 81–103. retrieved from https://so01.tci-thaijo.org/index.php/CBSReview/article/view/280953
Section
Research Articles
Author Biographies

Sirimon Treepongkaruna, Sasin School of Management, Chulalongkorn University, Thailand; The University of Western Australia, Australia.

Sustainability in Financial and Capital Market Research Unit,

Thailand and UWA Business School

Tanakorn Likitapiwat, Chulalongkorn University, Thailand.

Chulalongkorn Business School

Worapree Maneesoonthorn, Monash University, Australia.

Department of Econometrics and Business and Statistics, Monash Business School

References

Ahn, C. M., & Thompson, H. E. (1988). Jump-diffusion processes and the term structure of interest rates. The Journal of Finance, 43(1), 155–174. https://www.jstor.org/stable/2328329

Aït-Sahalia, Y., Cacho-Diaz, J., & Laeven, R. J. (2015). Modeling financial contagion using mutually exciting jump processes. Journal of Financial Economics, 117(3), 585–606. https://doi.org/10.1016/j.jfineco.2015.03.002

Amihud, Y. (2002). Illiquidity and stock returns: Cross-section and time-series effects. Journal of Financial Markets, 5(1), 31–56. https://doi.org/10.1016/S1386-4181(01)00024-6

Andersen, T. G., & Bollerslev, T. (1997). Intraday periodicity and volatility persistence in financial markets. Journal of Empirical Finance, 4, 115–158. https://doi.org/10.1016/S0927-5398(97)00004-2

Andersen, T. G., & Bollerslev, T. (1998). Answering the skeptics: Yes, standard volatility models do provide accurate forecasts. International Economic Review, 39(4), 885–905. https://doi.org/10.2307/2527343

Andersen, T. G., Bollerslev, T., & Diebold, F. X. (2007). Roughing it up: Including jump components in the measurement, modeling, and forecasting of return volatility. Review of Economics and Statistics, 89(4), 701–720. https://doi.org/10.1162/rest.89.4.701

Andersen, T. G., Dobrev, D., & Schaumburg, E. (2012). Jump-robust volatility estimation using nearest neighbor truncation. Journal of Econometrics, 169(1), 75–93. https://doi.org/10.1016/j.jeconom.2012.01.011

Balakrishnan, K., Billings, M., Kelly, B., & Ljungqvist, A. (2014). Shaping liquidity: On the causal effects of voluntary disclosure. Journal of Finance, 58(2), 333–388. https://doi.org/10.1111/jofi.12180

Bao, J., Pan, J., & Wang, J. (2011). The illiquidity of corporate bonds. Journal of Finance, 66(3), 911–946. https://doi.org/10.1111/j.1540-6261.2011.01655.x

Barndorff-Nielsen, O. E., & Shephard, N. (2002). Econometric analysis of realized volatility and its use in estimating stochastic volatility models. Journal of the Royal Statistical Society: Series B (Statistical Methodology), 64(2), 253–280. https://wDr.HarminderSinghww.jstor.org/ stable/3088799

Barndorff-Nielsen, O. E., & Shephard, N. (2004). Power and bipower variation with stochastic volatility and jumps. Journal of Financial Econometrics, 2(1), 1–37. https://doi.org/10.1093/jjfinec/nbh001

Barndorff-Nielsen, O. E., & Shephard, N. (2006). Econometrics of testing for jumps in financial economics using bipower variation. Journal of Financial Econometrics, 4(1), 1–30. https://doi.org/10.1093/jjfinec/nbi022

Bates, D. S. (1996). Jumps and stochastic volatility: Exchange rate processes implicit in Deutsche mark options. Review of Financial Studies, 9(1), 69–107.

Bessembinder, H., Maxwell, W., & Venkataraman, K. (2006). Market transparency, liquidity externalities, and institutional trading costs in corporate bonds. Journal of Financial Economics, 82(2), 251–288. https://doi.org/10.1016/j.jfineco.2005.10.002

Bessembinder, H., Panayides, M., & Venkataraman, K. (2009). Hidden liquidity: An analysis of order exposure strategies in electronic stock markets. Journal of Financial Economics, 94(3), 361–383. https://doi.org/10.1016/j.jfineco.2009.02.001

Bloomfield, R., & O’Hara, M. (1999). Market transparency: Who wins and who loses?. Review of Financial Studies, 12(1), 5–35.

Busch, T., Christensen, B. J., & Nielsen, M. Ø. (2011). The role of implied volatility in forecasting future realized volatility and jumps in foreign exchange, stock, and bond markets. Journal of Econometrics, 160(1), 48–57.

Chakravarty, S., & Sarkar, A. (2003). Trading costs in three U.S. bond markets. Journal of Fixed Income, 13(1), 39–48.

Chan, K., & Fong, W. M. (2006). Realized volatility and transactions. Journal of Banking & Finance, 30(7), 2063–2085. https://doi.org/10.1016/j.jbankfin.2005.05.021

Chan, K. F., Powell, J. G., & Treepongkaruna, S. (2014). Currency jumps and crises: Do developed and emerging market currencies jump together? Pacific-Basin Finance Journal, 30, 132–157. https://doi.org/10.1016/j.pacfin.2014.08.001

Chen, L., & Zhong, M. (2012). The impact of transparency on bond market liquidity. Journal of Financial Markets, 15(3), 263–289. https://doi.org/10.1016/j.finmar.2012.01.001

Chordia, T., Roll, R., & Subrahmanyam, A. (2001). Market liquidity and trading activity. Journal of Finance, 56(2), 501–530. https://www.jstor.org/stable/222572

Clements, A., & Liao, Y. (2017). Forecasting the variance of stock index returns using jumps and cojumps. International Journal of Forecasting, 33(3), 729–742. https://doi.org/10.1016/j.ijforecast.2017.01.005

Cox, J. C., Ingersoll, J. E., & Ross, S. A. (1985). A theory of the term structure of interest rates. Econometrica, 53(2), 385–407. https://doi.org/10.2307/1911242

Dang, T. V., Gorton, G., Holmström, B., & Ordoñez, G. (2017). Banks as secret keepers. American Economic Review, 107(4), 1005–1029. https://doi.org/10.1257/aer.20140782

Das, S. R. (2002). The surprise element: Jumps in interest rates. Journal of Econometrics, 106(1), 27–65.

Duffie, D., Malamud, S., & Manso, G. (2009). Information percolation with equilibrium search dynamics. Econometrica, 77(5), 1513–1574. https://doi.org/10.3982/ECTA8160

Duffie, D., Pan, J., & Singleton, K. (2000). Transform analysis and asset pricing for affine jump-diffusions. Econometrica, 68(6), 1343–1376. http://www.jstor.org/stable/3003992

Dumitru, A. M., & Urga, G. (2012). Identifying jumps in financial assets: A comparison between nonparametric jump tests. Journal of Business & Economic Statistics, 30(2), 242–255. https://doi.org/10.1080/07350015.2012.663250

Easley, D., O’Hara, M., & Yang, L. (2016). Differential access to price information in financial markets. Journal of Financial and Quantitative Analysis, 51(4), 1071–1110. https://doi.org/10.1017/S0022109016000491

Edwards, A. K., Harris, L. E., & Piwowar, M. S. (2007). Corporate bond market transaction costs and transparency. Journal of Finance, 62(3), 1421–1451. https://doi.org/10.1111/j.1540-6261.2007.01240.x

Elder, J., Miao, H., & Ramchander, S. (2013). Jumps in oil prices: The role of economic news. The Energy Journal, 34(3), 217–237. https://doi.org/10.5547/01956574.34.3.10

Eraker, B. (2004). Do stock prices and volatility jump? Reconciling evidence from spot and option prices. Journal of Finance, 59(3), 1367–1403. https://doi.org/10.1111/j.1540-6261.2004.00666.x

Eraker, B., Johannes, M., & Polson, N. (2003). The impact of jumps in volatility and returns. Journal of Finance, 58(3), 1269–1300. https://doi.org/10.1111/1540-6261.00566

Fleming, M. J. (2003). Measuring Treasury market liquidity. Federal Reserve Bank of New York Economic Policy Review, 9(3), 83–108. https://www.newyorkfed.org/medialibrary/media/research/epr/03v09n3/0309flem.pdf

Flood, M. D., Huisman, R., Koedijk, K. G., & Mahieu, R. J. (1999). Quote disclosure and price discovery in multiple-dealer financial markets. Review of Financial Studies, 12(1), 37–59. https://doi.org/10.1093/rfs/12.1.37

Fülöp, Á., Li, J., & Yu, J. (2015). Self-exciting jumps, learning, and asset pricing implications. The Review of Financial Studies, 28(3), 876–912. https://doi.org/10.1093/rfs/hhu078

Goldstein, M. A., Hotchkiss, E. S., & Sirri, E. R. (2007). Transparency and liquidity: A controlled experiment on corporate bonds. Review of Financial Studies, 20(2), 235–273. https://doi.org/10.1093/rfs/hhl020

Hasbrouck, J. (2009). Trading costs and returns for U.S. equities: Estimating effective costs from daily data. Journal of Finance, 64(3), 1445–1477. https://doi.org/10.1111/j.1540-6261.2009.01469.x

Hawkes, A. G. (1971). Spectra of some self-exciting and mutually exciting point processes. Biometrika, 58(1), 83–90. https://doi.org/10.2307/2334319

Hawkes, A. G. (2018). Hawkes processes and their applications to finance: A review. Quantitative Finance, 18(2), 193–198.

Holmström, B. (2015). Understanding the role of debt in the financial system. Bank for International Settlements Working Paper No. 479, https://www.bis.org/publ/work479.htm

Hong, G., & Warga, A. (2000). An empirical study of bond market transactions. Financial Analysts Journal, 56(2), 32–46. https://doi.org/10.2469/faj.v56.n2.2342

Huang, X., & Tauchen, G. (2005). The relative contribution of jumps to total price variance. Journal of Financial Econometrics, 3(4), 456–499. https://doi.org/10.1093/jjfinec/nbi025

ICMA. (2020). Recommendations for post-trade transparency in the secondary bond markets. Retrieved from https://www.icmagroup.org/assets/documents/Regulatory/Secondary-markets/ICMA-Post-trade-transparency-recommendations-2020.pdf

Jiang, G. J., Lo, I., & Verdelhan, A. (2011). Information shocks, liquidity shocks, jumps, and price discovery: Evidence from the U.S. Treasury market. Journal of Financial and Quantitative Analysis, 46(2), 527–551. https://doi.org/10.1017/S0022109010000785

Johannes, M. (2004). The statistical and economic role of jumps in continuous-time interest rate models. Journal of Finance, 59(1), 227–260. https://doi.org/10.1111/j.1540-6321.2004.00632.x

Jones, C. M., Kaul, G., & Lipson, M. L. (1994). Transactions, volume, and volatility. Review of Financial Studies, 7(4), 631–651. https://doi.org/10.1093/rfs/7.4.631

Kim, J., Kumar, A., Mallick, S., & Park, D. (2021). Financial uncertainty and interest rate movements: Is Asian bond market volatility different? Annals of Operations Research. https://doi.org/10.1007/s10479-021-04314-7

Lahaye, J., Laurent, S., & Neely, C. J. (2011). Jumps, cojumps and macro announcements. Journal of Applied Econometrics, 26(6), 893–921. https://doi.org/10.1002/jae.1149

Lee, S. S. (2012). Jumps and information flow in financial markets. Review of Financial Studies, 25(2), 439–479.

Lin, H., Wang, J., & Wu, C. (2011). Liquidity risk and expected corporate bond returns. Journal of Financial Economics, 99(3), 628–650. https://doi.org/10.1016/j.jfineco.2010.10.004

Ma, F., Liao, Y., Zhang, Y., & Cao, Y. (2019). Harnessing jump component for crude oil volatility forecasting in the presence of extreme shocks. Journal of Empirical Finance, 52, 40–55. https://doi.org/10.1016/j.jempfin.2019.01.004

Madhavan, A. (2000). Market microstructure: A survey. Journal of Financial Markets, 3, 205–258. https://doi.org/10.1016/S1386-4181(00)00007-0

Maheu, J. M., & McCurdy, T. H. (2004). News arrival, jump dynamics, and volatility components for individual stock returns. Journal of Finance, 59(2), 755–793. https://doi.org/10.1111/j.1540-6261.2004.00648.x

Maneesoonthorn, W., Forbes, C. S., & Martin, G. M. (2017). Inference on self-exciting jumps in prices and volatility using high-frequency measures. Journal of Applied Econometrics, 32(3), 504–532.

Maneesoonthorn, W., Martin, G. M., & Forbes, C. S. (2020). High frequency jump tests: Which test should we use?. Journal of Econometrics, 219(2), 478–487.

Miao, H., Ramchander, S., & Zumwalt, J. K. (2014). S&P 500 index-futures price jumps and macroeconomic news. Journal of Futures Markets, 34(10), 980–1001. https://doi.org/10.1002/fut.21627

Naik, N. Y., Neuberger, A., & Viswanathan, S. (1999). Trade disclosure regulation in markets with negotiated trades. Review of Financial Studies, 12(4), 873–900.

Nowak, S., Andritzky, J., Jobst, A., & Tamirisa, N. (2011). Macroeconomic fundamentals, price discovery, and volatility dynamics in emerging bond markets. Journal of Banking & Finance, 35(10), 2584–2597. https://doi.org/10.1016/j.jbankfin.2011.02.012

O’Hara, M. (1995). Market microstructure theory. Cambridge, MA: Blackwell Publishers

Pagano, M., & Röell, A. A. (1996). Transparency and liquidity: A comparison of auction and dealer markets. Journal of Finance, 51(2), 579–611. https://doi.org/10.2307/2329372

Pastor, Ľ., & Stambaugh, R. F. (2003). Liquidity risk and expected stock returns. Journal of Political Economy, 111(3), 642–685. https://doi.org/10.1086/374184

Patton, A. J., & Sheppard, K. (2015). Good volatility, bad volatility: Signed jumps and the persistence of volatility. Review of Economics and Statistics, 97(3), 683–697. https://doi.org/10.1162/REST_a_00503

Porter, D., & Weaver, D. (1998). Post-trade transparency on Nasdaq’s national market system. Journal of Financial Economics, 50(2), 231–252. https://doi.org/10.1016/S0304-405X(98)00037-3

Securities and Exchange Act, B.E. 2535 (A.D. 1992), Consolidated Version as of 2012. (2012). Retrieved from http://www.thaibma.or.th/pdf/sro/announce/Codified2555.pdf

Securities and Exchange Commission, Thailand. (2023, July 6). SEC files a criminal complaint against 10 offenders with the DSI for falsifying STARK financial statements, making false statements in the registration statements, and acting in the manner that dishonestly deceives others. Retrieved from https://www.sec.or.th/EN/Pages/News_Detail.aspx?SECID=10553

Thai Bond Market Association. (2014). Announcement No. 40/2014: Authority of the Board of Directors under Clause 20(2) and Clause 68 of the Articles of Association (in Thai). Retrieved from http://www.thaibma.or.th/pdf/sro/announce/announce40_jan2014.pdf