IDEAS home Printed from https://ideas.repec.org/a/rfe/zbefri/v37y2019i2p759-775.html
   My bibliography  Save this article

Persistence of shocks in CDS returns on Croatian bonds: Quantile autoregression approach

Author

Listed:
  • Mile Bošnjak

    (University of Zagreb, Faculty of Economics and Business, JF Kennedy Square 6, 10000 Zagreb, Croatia)

  • Ivan Novak

    (University of Zagreb, Faculty of Economics and Business, JF Kennedy Square 6, 10000 Zagreb, Croatia)

  • Maja Bašiæ

    (University of Zagreb, Faculty of Economics and Business, JF Kennedy Square 6, 10000 Zagreb, Croatia)

Abstract

The paper aims to examine persistence of shocks in returns on CDS for 5Y Croatian bonds. Based on sample of daily data from January 6, 2004 up until December 13, 2019 the paper evaluated research hypothesis that assumed persistence of shocks in returns on 5Y Croatian bond. To evaluate the research hypothesis, the paper employed quantile autoregression approach and nonparametric time varying autoregreession approach. The empirical results rejected the research hypothesis assuming persistence of shocks in returns on CDS for 5Y Croatian bonds. Based on the results from this paper, returns on CDS from for 5Y Croatian bonds are in line with efficient market hypothesis for endogenous shocks of small magnitude and at the highest level of endogenous shocks. Furthermore, efficient market hypothesis holds during the calm periods, while during the periods with more dynamics in CDS prices the paper suggests profitable strategy for trader and investors. Eventually, the paper contributes to the ongoing discussion regarding efficient market hypothesis while revealing the case of returns on CDS for 5Y Croatian bonds. Furthermore, the paper suggests trading and investment strategies for investors.

Suggested Citation

  • Mile Bošnjak & Ivan Novak & Maja Bašiæ, 2019. "Persistence of shocks in CDS returns on Croatian bonds: Quantile autoregression approach," Zbornik radova Ekonomskog fakulteta u Rijeci/Proceedings of Rijeka Faculty of Economics, University of Rijeka, Faculty of Economics and Business, vol. 37(2), pages 759-775.
    • Handle: RePEc:rfe:zbefri:v:37:y:2019:i:2:p:759-775
    as

    Download full text from publisher

    File URL: https://www.efri.uniri.hr/upload/ZBORNIK%202_2019/14-Bosnjak%20et%20al-2019-2.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Silvia Trifonova & Atanas Atanasov & Svilen Kolev, 2016. "The Effects of the ECB’s Unconventional Monetary Policy on the Non-Euro Area EU Member States," International Journal of Economics & Business Administration (IJEBA), International Journal of Economics & Business Administration (IJEBA), vol. 0(4), pages 93-112.
    2. Avino, Davide & Nneji, Ogonna, 2014. "Are CDS spreads predictable? An analysis of linear and non-linear forecasting models," International Review of Financial Analysis, Elsevier, vol. 34(C), pages 262-274.
    3. Andrew Ang & Geert Bekaert, 2007. "Stock Return Predictability: Is it There?," The Review of Financial Studies, Society for Financial Studies, vol. 20(3), pages 651-707.
    4. Kwiatkowski, Denis & Phillips, Peter C. B. & Schmidt, Peter & Shin, Yongcheol, 1992. "Testing the null hypothesis of stationarity against the alternative of a unit root : How sure are we that economic time series have a unit root?," Journal of Econometrics, Elsevier, vol. 54(1-3), pages 159-178.
    5. Kiesel, F. & Lücke, F. & Schiereck, D., 2015. "Regulation of uncovered sovereign credit default swaps – evidence from the European Union," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 74937, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
    6. Graham Bird & Wenti Du & Thomas Willett, 2017. "Behavioral Finance and Efficient Markets: What does the Euro Crisis Tell us?," Open Economies Review, Springer, vol. 28(2), pages 273-295, April.
    7. Andrea Consiglio & Somayyeh Lotfi & Stavros A. Zenios, 2018. "Portfolio diversification in the sovereign credit swap markets," Annals of Operations Research, Springer, vol. 266(1), pages 5-33, July.
    8. Elliott, Graham & Rothenberg, Thomas J & Stock, James H, 1996. "Efficient Tests for an Autoregressive Unit Root," Econometrica, Econometric Society, vol. 64(4), pages 813-836, July.
    9. Florian Kiesel & Felix Lücke & Dirk Schiereck, 2015. "Regulation of uncovered sovereign credit default swaps – evidence from the European Union," Journal of Risk Finance, Emerald Group Publishing, vol. 16(4), pages 425-443, August.
    10. Francis A. Longstaff & Jun Pan & Lasse H. Pedersen & Kenneth J. Singleton, 2011. "How Sovereign Is Sovereign Credit Risk?," American Economic Journal: Macroeconomics, American Economic Association, vol. 3(2), pages 75-103, April.
    11. Ravi Bansal & Amir Yaron, 2004. "Risks for the Long Run: A Potential Resolution of Asset Pricing Puzzles," Journal of Finance, American Finance Association, vol. 59(4), pages 1481-1509, August.
    12. Blau, Benjamin M. & Roseman, Brian S., 2014. "The reaction of European credit default swap spreads to the U.S. credit rating downgrade," International Review of Economics & Finance, Elsevier, vol. 34(C), pages 131-141.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Guo, Hui & Jiang, Xiaowen, 2021. "Aggregate Distress Risk and Equity Returns," Journal of Banking & Finance, Elsevier, vol. 133(C).
    2. Helmut Herwartz & Malte Rengel & Fang Xu, 2016. "Local Trends in Price‐to‐Dividend Ratios—Assessment, Predictive Value, and Determinants," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 48(8), pages 1655-1690, December.
    3. Karen K. Lewis, 2011. "Global Asset Pricing," Annual Review of Financial Economics, Annual Reviews, vol. 3(1), pages 435-466, December.
    4. Chen, Pei-Fen & Chien, Mei-Se & Lee, Chien-Chiang, 2011. "Dynamic modeling of regional house price diffusion in Taiwan," Journal of Housing Economics, Elsevier, vol. 20(4), pages 315-332.
    5. Venus Khim-Sen Liew & Hock-Ann Lee & Kian-Ping Lim & Huay-Huay Lee, 2008. "Linearity and Stationarity of South Asian Real Exchange Rates," The IUP Journal of Applied Economics, IUP Publications, vol. 0(5), pages 48-58, September.
    6. Lucchetti, Riccardo & Palomba, Giulio, 2009. "Nonlinear adjustment in US bond yields: An empirical model with conditional heteroskedasticity," Economic Modelling, Elsevier, vol. 26(3), pages 659-667, May.
    7. Isabel Cortés-Jiménez & Manuel Artís, 2005. "The role of the tourism sector in economic development - Lessons from the Spanish experience," ERSA conference papers ersa05p488, European Regional Science Association.
    8. Ewing, Bradley T. & Sari, Ramazan & Soytas, Ugur, 2007. "Disaggregate energy consumption and industrial output in the United States," Energy Policy, Elsevier, vol. 35(2), pages 1274-1281, February.
    9. Soto, Raimundo, 2009. "Dollarization, economic growth, and employment," Economics Letters, Elsevier, vol. 105(1), pages 42-45, October.
    10. Bekaert, Geert & Engstrom, Eric & Grenadier, Steven R., 2010. "Stock and bond returns with Moody Investors," Journal of Empirical Finance, Elsevier, vol. 17(5), pages 867-894, December.
    11. Francis Ahking, 2003. "Efficient unit root tests of real exchange rates in the post-Bretton Woods era," Economics Bulletin, AccessEcon, vol. 6(7), pages 1-12.
    12. Pieters, Gina & Vivanco, Sofia, 2017. "Financial regulations and price inconsistencies across Bitcoin markets," Information Economics and Policy, Elsevier, vol. 39(C), pages 1-14.
    13. Evan Lau & Koon Po Lee, 2008. "Interdependence of income between China and ASEAN‐5 countries," Journal of Chinese Economic and Foreign Trade Studies, Emerald Group Publishing Limited, vol. 1(2), pages 148-161, June.
    14. Eleni Constantinou & Robert Georgiades & Avo Kazandjian & George Kouretas, 2005. "Mean and variance causality between the Cyprus Stock Exchange and major equity markets," Working Papers 0501, University of Crete, Department of Economics.
    15. Drakos, Anastassios A., 2016. "Does the relationship between small and large portfolios’ returns confirm the lead–lag effect? Evidence from the Athens Stock Exchange," Research in International Business and Finance, Elsevier, vol. 36(C), pages 546-561.
    16. Diamandis, Panayiotis F., 2008. "Financial liberalization and changes in the dynamic behaviour of emerging market volatility: Evidence from four Latin American equity markets," Research in International Business and Finance, Elsevier, vol. 22(3), pages 362-377, September.
    17. Yuan, Di & Li, Sufang & Li, Rong & Zhang, Feipeng, 2022. "Economic policy uncertainty, oil and stock markets in BRIC: Evidence from quantiles analysis," Energy Economics, Elsevier, vol. 110(C).
    18. Ravi Bansal, 2007. "Long-run risks and financial markets," Review, Federal Reserve Bank of St. Louis, vol. 89(Jul), pages 283-300.
    19. Derek Bond & Michael J. Harrison & Edward J. O'Brien, 2005. "Testing for Long Memory and Nonlinear Time Series: A Demand for Money Study," Trinity Economics Papers tep20021, Trinity College Dublin, Department of Economics.
    20. Guglielmo Caporale & Luis Gil-Alana, 2009. "Multiple shifts and fractional integration in the US and UK unemployment rates," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 33(4), pages 364-375, October.

    More about this item

    Keywords

    CDS returns; bonds; quantile autoregression; persistence of shocks; efficient market hypothesis;
    All these keywords.

    JEL classification:

    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading
    • F31 - International Economics - - International Finance - - - Foreign Exchange
    • F41 - International Economics - - Macroeconomic Aspects of International Trade and Finance - - - Open Economy Macroeconomics

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:rfe:zbefri:v:37:y:2019:i:2:p:759-775. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Danijela Ujcic (email available below). General contact details of provider: https://edirc.repec.org/data/efrijhr.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.