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European Monetary Union bond market dynamics: Pre & post crisis

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  • Vukovic, Darko
  • Lapshina, Kseniya A.
  • Maiti, Moinak

Abstract

The Sharpe ratio emerges as one of the most popular metrics used in the evaluation of investment performance despite the wide range of alternatives that have been proposed by academics and practitioners. In the proposed research, risks and returns are analysed on the European Monetary Union bonds market, with different bonds ratings and maturities, in the period from 2005 to 2017. The past and current trends and patterns in bond returns are defined using the methods of statistic correlation and econometric analysis. It was shown that the bond returns are not normally distributed, and that the return on distribution depends on bond maturity and the economic situation in the market. The relation between volatility and bond maturity and the Sharpe ratio appeared to be non-linear and inconsistent over time. However, the hypothesis about the inverse relation between the Sharpe ratio and bond maturity is not supported by the evidence. Finally, with the help of time-series models it was proven that in the period from 2005 to 2017, the returns on European Monetary Union bonds market declined over time. ARIMA models were used to analyse the residuals from the bond returns.

Suggested Citation

  • Vukovic, Darko & Lapshina, Kseniya A. & Maiti, Moinak, 2019. "European Monetary Union bond market dynamics: Pre & post crisis," Research in International Business and Finance, Elsevier, vol. 50(C), pages 369-380.
    • Handle: RePEc:eee:riibaf:v:50:y:2019:i:c:p:369-380
    DOI: 10.1016/j.ribaf.2019.04.001
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    1. Ilmanen, Antti, 1995. "Time-Varying Expected Returns in International Bond Markets," Journal of Finance, American Finance Association, vol. 50(2), pages 481-506, June.
    2. Eugene A. Pilotte & Frederic P. Sterbenz, 2006. "Sharpe and Treynor Ratios on Treasury Bonds," The Journal of Business, University of Chicago Press, vol. 79(1), pages 149-180, January.
    3. Helyette Geman & Cécile Kharoubi, 2003. "Hedge Funds Revisited : Distributional Characteristics, Dependence Structure and Diversification," Post-Print halshs-00144363, HAL.
    4. Farinelli, Simone & Ferreira, Manuel & Rossello, Damiano & Thoeny, Markus & Tibiletti, Luisa, 2008. "Beyond Sharpe ratio: Optimal asset allocation using different performance ratios," Journal of Banking & Finance, Elsevier, vol. 32(10), pages 2057-2063, October.
    5. Daniel Kahneman & Amos Tversky, 2013. "Prospect Theory: An Analysis of Decision Under Risk," World Scientific Book Chapters, in: Leonard C MacLean & William T Ziemba (ed.), HANDBOOK OF THE FUNDAMENTALS OF FINANCIAL DECISION MAKING Part I, chapter 6, pages 99-127, World Scientific Publishing Co. Pte. Ltd..
    6. Kourtis, Apostolos, 2016. "The Sharpe ratio of estimated efficient portfolios," Finance Research Letters, Elsevier, vol. 17(C), pages 72-78.
    7. Joro, Tarja & Na, Paul, 2006. "Portfolio performance evaluation in a mean-variance-skewness framework," European Journal of Operational Research, Elsevier, vol. 175(1), pages 446-461, November.
    8. Campbell, Rachel & Huisman, Ronald & Koedijk, Kees, 2001. "Optimal portfolio selection in a Value-at-Risk framework," Journal of Banking & Finance, Elsevier, vol. 25(9), pages 1789-1804, September.
    9. Benjamin R. Auer, 2015. "On The Role Of Skewness, Kurtosis, And The Location And Scale Condition In A Sharpe Ratio Performance Evaluation Setting," International Journal of Theoretical and Applied Finance (IJTAF), World Scientific Publishing Co. Pte. Ltd., vol. 18(06), pages 1-13.
    10. Craig Israelsen, 2005. "A refinement to the Sharpe ratio and information ratio," Journal of Asset Management, Palgrave Macmillan, vol. 5(6), pages 423-427, April.
    11. Darko B. Vukovic & Edin Hanic & Hasan Hanic, 2017. "Financial Integration In The European Union - The Impact Of The Crisis On The Bond Market," Equilibrium. Quarterly Journal of Economics and Economic Policy, Institute of Economic Research, vol. 12(2), pages 195-210, June.
    12. Ang, James S. & Chua, Jess H., 1979. "Composite Measures for the Evaluation of Investment Performance," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 14(2), pages 361-384, June.
    13. Taras Bodnar & Taras Zabolotskyy, 2017. "How risky is the optimal portfolio which maximizes the Sharpe ratio?," AStA Advances in Statistical Analysis, Springer;German Statistical Society, vol. 101(1), pages 1-28, January.
    14. repec:dau:papers:123456789/1385 is not listed on IDEAS
    Full references (including those not matched with items on IDEAS)

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    Cited by:

    1. Vukovic, Darko B. & Lapshina, Kseniya A. & Maiti, Moinak, 2021. "Wavelet coherence analysis of returns, volatility and interdependence of the US and the EU money markets: Pre & post crisis," The North American Journal of Economics and Finance, Elsevier, vol. 58(C).
    2. Orlowski, Lucjan T., 2020. "Capital markets integration and economic growth in the European Union," Journal of Policy Modeling, Elsevier, vol. 42(4), pages 893-902.
    3. Darko Vukovic & Moinak Maiti & Zoran Grubisic & Elena M. Grigorieva & Michael Frömmel, 2021. "COVID-19 Pandemic: Is the Crypto Market a Safe Haven? The Impact of the First Wave," Sustainability, MDPI, vol. 13(15), pages 1-17, July.
    4. Vukovic, Darko & Vyklyuk, Yaroslav & Matsiuk, Natalia & Maiti, Moinak, 2020. "Neural network forecasting in prediction Sharpe ratio: Evidence from EU debt market," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 542(C).
    5. Darko B. Vukovic & Carlos J. Rincon & Moinak Maiti, 2021. "Price distortions and municipal bonds premiums: evidence from Switzerland," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 7(1), pages 1-21, December.
    6. Vladislav Spitsin & Marina Ryzhkova & Darko Vukovic & Sergey Anokhin, 2020. "Companies profitability under economic instability: evidence from the manufacturing industry in Russia," Journal of Economic Structures, Springer;Pan-Pacific Association of Input-Output Studies (PAPAIOS), vol. 9(1), pages 1-20, December.
    7. Ionica Oncioiu & Ioana Duca & Mirela Anca Postole & Georgiana Camelia Georgescu (Crețan) & Rodica Gherghina & Robert-Adrian Grecu, 2021. "Transforming the COVID-19 Threat into an Opportunity: The Pandemic as a Stage to the Sustainable Economy," Sustainability, MDPI, vol. 13(4), pages 1-18, February.
    8. Moinak Maiti & Darko Vukovic & Yaroslav Vyklyuk & Zoran Grubisic, 2022. "BRICS Capital Markets Co-Movement Analysis and Forecasting," Risks, MDPI, vol. 10(5), pages 1-13, April.

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    More about this item

    Keywords

    Sharpe ratio; Risks; Returns; Bond market; European Monetary Union;
    All these keywords.

    JEL classification:

    • G23 - Financial Economics - - Financial Institutions and Services - - - Non-bank Financial Institutions; Financial Instruments; Institutional Investors
    • G24 - Financial Economics - - Financial Institutions and Services - - - Investment Banking; Venture Capital; Brokerage

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