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Information content and market liquidity in the fixed income market: Evidence from the swaption market

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  • Hattori, Takahiro

Abstract

In this paper, I investigate the relationship between market liquidity and the information content of implied volatility (IV) in the fixed income market. For its part, financial regulation including Basel III relies heavily on historical volatility (HV) in capturing the financial risk of financial institutions. One of the main reasons for this is that many countries may not necessarily obtain a meaningful measure of IV in their option markets because of the lack of liquidity. Using US dollar and Japanese yen swaption data, I find that the information content of IV critically depends on the measure of liquidity. This finding empirically justifies the use of HV instead of IV as a financial risk measure, especially in countries where option market liquidity is low.

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  • Hattori, Takahiro, 2022. "Information content and market liquidity in the fixed income market: Evidence from the swaption market," Finance Research Letters, Elsevier, vol. 45(C).
    • Handle: RePEc:eee:finlet:v:45:y:2022:i:c:s1544612321001987
    DOI: 10.1016/j.frl.2021.102117
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    References listed on IDEAS

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    1. Fassas, Athanasios P. & Siriopoulos, Costas, 2021. "Implied volatility indices – A review," The Quarterly Review of Economics and Finance, Elsevier, vol. 79(C), pages 303-329.
    2. J. Doyne Farmer & Laszlo Gillemot & Fabrizio Lillo & Szabolcs Mike & Anindya Sen, 2004. "What really causes large price changes?," Quantitative Finance, Taylor & Francis Journals, vol. 4(4), pages 383-397.
    3. Philipp Weber & Bernd Rosenow, 2006. "Large stock price changes: volume or liquidity?," Quantitative Finance, Taylor & Francis Journals, vol. 6(1), pages 7-14.
    4. Patel, Jinal & Russo, Vincenzo & Fabozzi, Frank J., 2018. "Using the right implied volatility quotes in times of low interest rates: An empirical analysis across different currencies," Finance Research Letters, Elsevier, vol. 25(C), pages 196-201.
    5. Hattori, Takahiro, 2021. "Noise as a liquidity measure: Evidence from the JGB market," Pacific-Basin Finance Journal, Elsevier, vol. 67(C).
    6. Grace Xing Hu & Jun Pan & Jiang Wang, 2013. "Noise as Information for Illiquidity," Journal of Finance, American Finance Association, vol. 68(6), pages 2341-2382, December.
    7. Yu, Wayne W. & Lui, Evans C.K. & Wang, Jacqueline W., 2010. "The predictive power of the implied volatility of options traded OTC and on exchanges," Journal of Banking & Finance, Elsevier, vol. 34(1), pages 1-11, January.
    8. Szakmary, Andrew & Ors, Evren & Kyoung Kim, Jin & Davidson, Wallace III, 2003. "The predictive power of implied volatility: Evidence from 35 futures markets," Journal of Banking & Finance, Elsevier, vol. 27(11), pages 2151-2175, November.
    9. Canina, Linda & Figlewski, Stephen, 1993. "The Informational Content of Implied Volatility," Review of Financial Studies, Society for Financial Studies, vol. 6(3), pages 659-681.
    10. Newey, Whitney & West, Kenneth, 2014. "A simple, positive semi-definite, heteroscedasticity and autocorrelation consistent covariance matrix," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 33(1), pages 125-132.
    11. Mele, Antonio & Obayashi, Yoshiki & Shalen, Catherine, 2015. "Rate fears gauges and the dynamics of fixed income and equity volatilities," Journal of Banking & Finance, Elsevier, vol. 52(C), pages 256-265.
    12. Duyvesteyn, Johan & de Zwart, Gerben, 2015. "Riding the swaption curve," Journal of Banking & Finance, Elsevier, vol. 59(C), pages 57-75.
    13. Black, Fischer, 1976. "The pricing of commodity contracts," Journal of Financial Economics, Elsevier, vol. 3(1-2), pages 167-179.
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    More about this item

    Keywords

    Information content; Market liquidity; Swaptions; Implied volatility; Historical volatility;
    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
    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading
    • G32 - Financial Economics - - Corporate Finance and Governance - - - Financing Policy; Financial Risk and Risk Management; Capital and Ownership Structure; Value of Firms; Goodwill

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