IDEAS home Printed from https://ideas.repec.org/a/prg/jnlpep/v2017y2017i5id636p602-629.html
   My bibliography  Save this article

Volatility Strangeness of Bonds - How to Define and What Does it Bring?

Author

Listed:
  • Bohumil Stádník
  • Václav Žďárek

Abstract

The aim of this article is to complement the existing economic and financial strand of the literature by defining three alternative regimes of the clean price volatility of a bond with respect to the level of interest rates in the economy. The suggested method takes into account responses to the changing nature of financial markets and allows for the possibility of observing negative interest rates. Our approach enables to find particular values of switching points between alternative regimes. After showing main theoretical steps, an investigation of the dependence of such points on key parameters of bonds is provided. An empirical illustration follows, accompanied by a discussion of theoretical and practical effects of this bond property. This approach offers both theorists and interested practitioners a way of overcoming difficulties associated with computations because of the complicated theoretical background. The results can be generalised, so that they apply both to the life of a bond and to the behaviour of a portfolio of bonds at a point of time.

Suggested Citation

  • Bohumil Stádník & Václav Žďárek, 2017. "Volatility Strangeness of Bonds - How to Define and What Does it Bring?," Prague Economic Papers, Prague University of Economics and Business, vol. 2017(5), pages 602-629.
  • Handle: RePEc:prg:jnlpep:v:2017:y:2017:i:5:id:636:p:602-629
    DOI: 10.18267/j.pep.636
    as

    Download full text from publisher

    File URL: http://pep.vse.cz/doi/10.18267/j.pep.636.html
    Download Restriction: free of charge

    File URL: http://pep.vse.cz/doi/10.18267/j.pep.636.pdf
    Download Restriction: free of charge

    File URL: https://libkey.io/10.18267/j.pep.636?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Steeley, James M., 2006. "Volatility transmission between stock and bond markets," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 16(1), pages 71-86, February.
    2. Sergio Ortobelli & Tomáš Tichý, 2015. "On the impact of semidefinite positive correlation measures in portfolio theory," Annals of Operations Research, Springer, vol. 235(1), pages 625-652, December.
    3. Aleksandras Vytautas Rutkauskas & Viktorija Stasytytė & Nijolė Maknickienė, 2014. "Government debt as the integral portfolio of assets and liabilities generated by debt," Journal of Business Economics and Management, Taylor & Francis Journals, vol. 15(1), pages 22-40, February.
    4. Manuela Tvaronavičiene & Julija Michailova, 2006. "Factors affecting securities prices: Theoretical versus practical approach," Journal of Business Economics and Management, Taylor & Francis Journals, vol. 7(4), pages 213-222.
    5. Rosella Giacometti & Sergio Ortobelli & Tomáš Tichý, 2015. "Portfolio Selection with Uncertainty Measures Consistent with Additive Shifts," Prague Economic Papers, Prague University of Economics and Business, vol. 2015(1), pages 3-16.
    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. repec:prg:jnlpep:v:preprint:id:636:p:1-28 is not listed on IDEAS
    2. Saban Nazlioglu & Shawkat Hammoudeh & Rangan Gupta, 2015. "Volatility transmission between Islamic and conventional equity markets: evidence from causality-in-variance test," Applied Economics, Taylor & Francis Journals, vol. 47(46), pages 4996-5011, October.
    3. Flavin, Thomas J. & Morley, Ciara E. & Panopoulou, Ekaterini, 2014. "Identifying safe haven assets for equity investors through an analysis of the stability of shock transmission," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 33(C), pages 137-154.
    4. Yousaf, Imran & Beljid, Makram & Chaibi, Anis & Ajlouni, Ahmed AL, 2022. "Do volatility spillover and hedging among GCC stock markets and global factors vary from normal to turbulent periods? Evidence from the global financial crisis and Covid-19 pandemic crisis," Pacific-Basin Finance Journal, Elsevier, vol. 73(C).
    5. Baur, Dirk G. & Lucey, Brian M., 2009. "Flights and contagion--An empirical analysis of stock-bond correlations," Journal of Financial Stability, Elsevier, vol. 5(4), pages 339-352, December.
    6. Helder Mendonça & Felipe Tostes, 2015. "The Effect of Monetary and Fiscal Credibility on Exchange Rate Pass-Through in an Emerging Economy," Open Economies Review, Springer, vol. 26(4), pages 787-816, September.
    7. Carlos Alberto Piscarreta Pinto Ferreira, 2022. "Revisiting The Determinants Of Sovereign Bond Yield Volatility," Working Papers REM 2022/0241, ISEG - Lisbon School of Economics and Management, REM, Universidade de Lisboa.
    8. Chen, Zhengyang, 2019. "The Long-term Rate and Interest Rate Volatility in Monetary Policy Transmission," EconStor Preprints 204579, ZBW - Leibniz Information Centre for Economics.
    9. Fowowe, Babajide & Shuaibu, Mohammed, 2016. "Dynamic spillovers between Nigerian, South African and international equity markets," International Economics, Elsevier, vol. 148(C), pages 59-80.
    10. Gormus, N. Alper & Soytas, Ugur & Diltz, J. David, 2014. "Volatility transmission between energy-related asset classes," Global Finance Journal, Elsevier, vol. 25(3), pages 246-259.
    11. Jean-Louis Bago & Koffi Akakpo & Imad Rherrad & Ernest Ouédraogo, 2021. "Volatility Spillover and International Contagion of Housing Bubbles," JRFM, MDPI, vol. 14(7), pages 1-14, June.
    12. Noureddine Kouaissah & Sergio Ortobelli Lozza & Ikram Jebabli, 2022. "Portfolio Selection Using Multivariate Semiparametric Estimators and a Copula PCA-Based Approach," Computational Economics, Springer;Society for Computational Economics, vol. 60(3), pages 833-859, October.
    13. Gormus, N. Alper & Atinc, Guclu, 2016. "Volatile oil and the U.S. economy," Economic Analysis and Policy, Elsevier, vol. 50(C), pages 62-73.
    14. Kouaissah, Noureddine, 2021. "Using multivariate stochastic dominance to enhance portfolio selection and warn of financial crises," The Quarterly Review of Economics and Finance, Elsevier, vol. 80(C), pages 480-493.
    15. Afees A. Salisu & Kazeem Isah, 2017. "Modeling the spillovers between stock market and money market in Nigeria," Working Papers 023, Centre for Econometric and Allied Research, University of Ibadan.
    16. Emenike Kalu O., 2017. "The Interrelationship between Crude Oil Price Volatility and Money Market Rate Volatility in a Developing, Oil-Producing Economy," Eastern European Business and Economics Journal, Eastern European Business and Economics Studies Centre, vol. 3(1), pages 28-47.
    17. Daehyeon Park & Jiyeon Park & Doojin Ryu, 2020. "Volatility Spillovers between Equity and Green Bond Markets," Sustainability, MDPI, vol. 12(9), pages 1-12, May.
    18. Anlan Wang & Aleš Kresta & Tomáš Tichý, 2024. "Evaluation of strategy portfolios," Computational Management Science, Springer, vol. 21(1), pages 1-27, June.
    19. Johansson, Anders C., 2010. "Stock and Bond Relationships in Asia," Working Paper Series 2010-14, Stockholm School of Economics, China Economic Research Center.
    20. Aleš Kresta, 2015. "Application of Performance Ratios in Portfolio Optimization," Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis, Mendel University Press, vol. 63(6), pages 1969-1977.
    21. Sergio Ortobelli & Noureddine Kouaissah & Tomáš Tichý, 2017. "On the impact of conditional expectation estimators in portfolio theory," Computational Management Science, Springer, vol. 14(4), pages 535-557, October.

    More about this item

    Keywords

    bond /portfolio of bonds; volatility regimes; price/yield sensitivity; negative interest rates;
    All these keywords.

    JEL classification:

    • G1 - Financial Economics - - General Financial Markets
    • G10 - Financial Economics - - General Financial Markets - - - General (includes Measurement and Data)
    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates
    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading

    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:prg:jnlpep:v:2017:y:2017:i:5:id:636:p:602-629. 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: Stanislav Vojir (email available below). General contact details of provider: https://edirc.repec.org/data/uevsecz.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.