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Liquidity, credit quality, and the relation between volatility and trading activity: Evidence from the corporate bond market

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  • Wang, Junbo
  • Wu, Chunchi

Abstract

This paper investigates the roles of illiquidity and credit risk in determining the relations between price volatility of a bond and its trading frequency and trade size based on a large transaction dataset from October 2004 to June 2012. We find a positive relation between volatility and trading frequency and a negative relation between volatility and trade size. Consistent with the prediction of the search-based theory, the relations are much stronger for illiquid and risky bonds. Furthermore, both liquidity and credit risk become more important in times of stress and their effects are reinforcing. Results strongly suggest that search frictions and credit risk are important factors driving the relation between volatility and trading activity in the corporate bond market.

Suggested Citation

  • Wang, Junbo & Wu, Chunchi, 2015. "Liquidity, credit quality, and the relation between volatility and trading activity: Evidence from the corporate bond market," Journal of Banking & Finance, Elsevier, vol. 50(C), pages 183-203.
    • Handle: RePEc:eee:jbfina:v:50:y:2015:i:c:p:183-203
    DOI: 10.1016/j.jbankfin.2014.10.003
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    8. Chien-Hung Chen & Nicholas Lee & Fu-Min Chang & Li-Peng Lan, 2021. "Are global gold futures returns volatilities and trading activities threshold cointegrated?," Journal of Financial Economic Policy, Emerald Group Publishing Limited, vol. 13(5), pages 525-538, May.
    9. Bethke, Sebastian & Gehde-Trapp, Monika & Kempf, Alexander, 2015. "Investor sentiment, flight-to-quality, and corporate bond comovement," CFR Working Papers 13-06 [rev.3], University of Cologne, Centre for Financial Research (CFR).
    10. Marta Gómez-Puig & Mary Pieterse-Bloem & Simón Sosvilla-Rivero, 2022. ""Dynamic connectedness between credit and liquidity risks in EMU sovereign debt markets"," IREA Working Papers 202217, University of Barcelona, Research Institute of Applied Economics, revised Oct 2022.
    11. Zaghini, Andrea, 2021. "The Covid pandemic in the market: Infected, immune and cured bonds," CFS Working Paper Series 653, Center for Financial Studies (CFS).
    12. Duong, Huu Nhan & Kalev, Petko S. & Tian, Xiao, 2023. "Short selling, divergence of opinion and volatility in the corporate bond market," Journal of Economic Dynamics and Control, Elsevier, vol. 147(C).
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    14. Fischer, Henning & Stolper, Oscar, 2019. "The nonlinear dynamics of corporate bond spreads: Regime-dependent effects of their determinants," Discussion Papers 08/2019, Deutsche Bundesbank.
    15. Diego A. Agudelo & Ignacio Arango, 2017. "How does information disclosure affect liquidity? Evidence from an Emerging Market," Documentos de Trabajo de Valor Público 16944, Universidad EAFIT.
    16. Hassan, M. Kabir & Paltrinieri, Andrea & Dreassi, Alberto & Miani, Stefano & Sclip, Alex, 2018. "The determinants of co-movement dynamics between sukuk and conventional bonds," The Quarterly Review of Economics and Finance, Elsevier, vol. 68(C), pages 73-84.
    17. Zied Ftiti & Fredj Jawadi & Waël Louhichi, 2017. "Modelling the relationship between future energy intraday volatility and trading volume with wavelet," Applied Economics, Taylor & Francis Journals, vol. 49(20), pages 1981-1993, April.
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    More about this item

    Keywords

    Search frictions; Credit risk; Volatility; Volume; Flights-to-quality; Flights-to-liquidity; Interactive effects;
    All these keywords.

    JEL classification:

    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates
    • G13 - Financial Economics - - General Financial Markets - - - Contingent Pricing; Futures Pricing

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