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Liquidity-Adjusted Benchmark Yield Curves: A Look at Trading Concentration and Information

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  • William T. Lin

    (Department of Banking and Finance, Tamkang University, Tamsui, Tapiei, Taiwan 25137, Taiwan)

  • David S. Sun

    (Department of Finance and Taxation, Takming University of Science and Technology, 56, Huangshan Road, Sec. 1, Neihu District, Taipei, Taiwan 11451, Taiwan)

Abstract

Estimation of benchmark yield curve in developing markets is often influenced by liquidity concentration. Based on an affine term structure model, we develop a long run liquidity weighted fitting method to address the trading concentration phenomenon arising from horizon-induced clientele equilibrium as well as information discovery. Specifically, we employ arguments from models of liquidity concentration and benchmark security information. After examining time series behavior of price errors against our fitted model, we find results consistent with both the horizon and information hypotheses. Our evidence indicates that trading liquidity carries information effect in the long run, which cannot be fully captured in the short run. Trading liquidity plays a key role in long run term structure fitting. Markets for liquid benchmark government bond issues collectively form a long term equilibrium. Compared with previous studies, our results provide a robust and realistic characterization of the spot rate term structure and related price forecasting over time, which in turn help portfolio investment of fixed income and long run pricing of financial instruments.

Suggested Citation

  • William T. Lin & David S. Sun, 2007. "Liquidity-Adjusted Benchmark Yield Curves: A Look at Trading Concentration and Information," Review of Pacific Basin Financial Markets and Policies (RPBFMP), World Scientific Publishing Co. Pte. Ltd., vol. 10(04), pages 491-518.
    • Handle: RePEc:wsi:rpbfmp:v:10:y:2007:i:04:n:s0219091507001173
    DOI: 10.1142/S0219091507001173
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    1. Francisco Alonso & Roberto Blanco & Ana Del Rio & Alicia Sanchis, 2004. "Estimating liquidity premia in the Spanish government securities market," The European Journal of Finance, Taylor & Francis Journals, vol. 10(6), pages 453-474.
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    6. Shiller, Robert J. & Huston McCulloch, J., 1990. "The term structure of interest rates," Handbook of Monetary Economics, in: B. M. Friedman & F. H. Hahn (ed.), Handbook of Monetary Economics, edition 1, volume 1, chapter 13, pages 627-722, Elsevier.
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    9. Diaz, Antonio & Merrick, John Jr. & Navarro, Eliseo, 2006. "Spanish Treasury bond market liquidity and volatility pre- and post-European Monetary Union," Journal of Banking & Finance, Elsevier, vol. 30(4), pages 1309-1332, April.
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    12. Nelson, Charles R & Siegel, Andrew F, 1987. "Parsimonious Modeling of Yield Curves," The Journal of Business, University of Chicago Press, vol. 60(4), pages 473-489, October.
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    Cited by:

    1. Januj Juneja, 2018. "Empirical performance of Gaussian affine dynamic term structure models in the presence of autocorrelation misspecification bias," Review of Quantitative Finance and Accounting, Springer, vol. 50(3), pages 695-715, April.
    2. Januj Juneja, 2015. "An evaluation of alternative methods used in the estimation of Gaussian term structure models," Review of Quantitative Finance and Accounting, Springer, vol. 44(1), pages 1-24, January.
    3. William Lin & Shih-Chuan Tsai & David Sun, 2011. "Price informativeness and predictability: how liquidity can help," Applied Economics, Taylor & Francis Journals, vol. 43(17), pages 2199-2217.

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    More about this item

    Keywords

    Liquidity; trading concentration; information discovery; term structure; yield curve; JEL Classification: D4; JEL Classification: D53; JEL Classification: D83; JEL Classification: E43; JEL Classification: G12;
    All these keywords.

    JEL classification:

    • G1 - Financial Economics - - General Financial Markets
    • G2 - Financial Economics - - Financial Institutions and Services
    • G3 - Financial Economics - - Corporate Finance and Governance

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