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BTP futures and cash relationships: a high frequency data analysis

Author

Listed:
  • Onofrio Panzarino

    (Banca d'Italia)

  • Francesco Potente

    (Banca d'Italia)

  • Alfonso Puorro

    (Banca d'Italia)

Abstract

The paper analyses the interactions between the ‘cash’ market (MTS Cash) and the futures market (Eurex) of Italian government bonds in terms of liquidity, price correlation and volatility. Based on daily data, the growth of the Eurex market seems to support the tightening of the bid-ask spread of MTS Cash, all things being equal, thus confirming a healthy and efficient link between cash and futures markets. Against this backdrop, a high frequency analysis highlights some episodes of partial divergence between price developments of futures and cash markets, which might be related to differences in the microstructures of the two markets. The futures market is order driven while the cash market is quote driven; furthermore different types of participants are active in each market. At higher frequencies, episodes of unidirectional propagation of volatility shocks from BTP futures to the MTS Cash market materialize, with potential spillovers on cash market liquidity conditions. In this regard, it is also important to consider the role played by High Frequency Traders, whose activity in futures markets may well contribute to explaining the peculiarities in price dynamics highlighted by high frequency data.

Suggested Citation

  • Onofrio Panzarino & Francesco Potente & Alfonso Puorro, 2016. "BTP futures and cash relationships: a high frequency data analysis," Temi di discussione (Economic working papers) 1083, Bank of Italy, Economic Research and International Relations Area.
  • Handle: RePEc:bdi:wptemi:td_1083_16
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    References listed on IDEAS

    as
    1. Engle, Robert F. & Kroner, Kenneth F., 1995. "Multivariate Simultaneous Generalized ARCH," Econometric Theory, Cambridge University Press, vol. 11(1), pages 122-150, February.
    2. Torben G. Andersen & Tim Bollerslev & Nour Meddahi, 2005. "Correcting the Errors: Volatility Forecast Evaluation Using High-Frequency Data and Realized Volatilities," Econometrica, Econometric Society, vol. 73(1), pages 279-296, January.
    3. Zapata, T. Randall Fortenbery & Armstrong, Delroy, 2005. "Price Discovery in the World Sugar Futures and Cash Markets: Implications for the Domincan Republic," Staff Paper Series 469, University of Wisconsin, Agricultural and Applied Economics.
    4. Michael W. Brandt & Kenneth A. Kavajecz & Shane E. Underwood, 2007. "Price discovery in the treasury futures market," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 27(11), pages 1021-1051, November.
    5. Thomas Werner & Christian Upper, 2004. "Time variation in the tail behavior of Bund future returns," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 24(4), pages 387-398, April.
    6. Andersen, Torben G & Bollerslev, Tim, 1998. "Answering the Skeptics: Yes, Standard Volatility Models Do Provide Accurate Forecasts," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 39(4), pages 885-905, November.
    7. Thomas Conefrey & David Cronin, 2015. "Spillover in Euro Area Sovereign Bond Markets," The Economic and Social Review, Economic and Social Studies, vol. 46(2), pages 197-231.
    8. Garbade, Kenneth D & Silber, William L, 1983. "Price Movements and Price Discovery in Futures and Cash Markets," The Review of Economics and Statistics, MIT Press, vol. 65(2), pages 289-297, May.
    9. Bollerslev, Tim & Engle, Robert F & Wooldridge, Jeffrey M, 1988. "A Capital Asset Pricing Model with Time-Varying Covariances," Journal of Political Economy, University of Chicago Press, vol. 96(1), pages 116-131, February.
    10. Francis X. Diebold & Kamil Yilmaz, 2009. "Measuring Financial Asset Return and Volatility Spillovers, with Application to Global Equity Markets," Economic Journal, Royal Economic Society, vol. 119(534), pages 158-171, January.
    11. Torben G. Andersen & Tim Bollerslev & Francis X. Diebold & Paul Labys, 2003. "Modeling and Forecasting Realized Volatility," Econometrica, Econometric Society, vol. 71(2), pages 579-625, March.
    12. Andersen, Torben G. & Bollerslev, Tim & Diebold, Francis X. & Ebens, Heiko, 2001. "The distribution of realized stock return volatility," Journal of Financial Economics, Elsevier, vol. 61(1), pages 43-76, July.
    13. George Jiang & Ingrid Lo & Giorgio Valente, 2014. "High-Frequency Trading around Macroeconomic News Announcements: Evidence from the U.S. Treasury Market," Staff Working Papers 14-56, Bank of Canada.
    14. Bart Frijns & Alireza Tourani‐Rad & Robert I. Webb, 2016. "On the Intraday Relation Between the VIX and its Futures," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 36(9), pages 870-886, September.
    15. Granger, C W J, 1969. "Investigating Causal Relations by Econometric Models and Cross-Spectral Methods," Econometrica, Econometric Society, vol. 37(3), pages 424-438, July.
    16. Rittler, Daniel, 2009. "Price Discovery, Causality and Volatility Spillovers in European Union Allowances Phase II: A High Frequency Analysis," Working Papers 0492, University of Heidelberg, Department of Economics.
    17. Imad A. Moosa, 2002. "Price Discovery and Risk Transfer in the Crude Oil Futures Market: Some Structural Time Series Evidence," Economic Notes, Banca Monte dei Paschi di Siena SpA, vol. 31(1), pages 155-165, February.
    18. Diebold, Francis X. & Yilmaz, Kamil, 2012. "Better to give than to receive: Predictive directional measurement of volatility spillovers," International Journal of Forecasting, Elsevier, vol. 28(1), pages 57-66.
    19. Scalia, Antonio, 1998. "Information transmission and causality in the Italian Treasury bond market," Journal of Empirical Finance, Elsevier, vol. 5(4), pages 361-384, October.
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    Cited by:

    1. Scheicher, Martin, 2023. "Intermediation in US and EU bond and swap markets: stylised facts, trends and impact of the coronavirus (COVID-19) crisis in March 2020," ESRB Occasional Paper Series 24, European Systemic Risk Board.
    2. Michele Anelli & Michele Patanè & Mario Toscano & Alessio Gioia, 2021. "The Evolution of the Lead-lag Markets in the Price Discovery Process of the Sovereign Credit Risk: the Case of Italy," Journal of Applied Finance & Banking, SCIENPRESS Ltd, vol. 11(2), pages 1-7.
    3. Riccardo Poli & Marco Taboga, 2021. "A composite indicator of sovereign bond market liquidity in the euro area," Questioni di Economia e Finanza (Occasional Papers) 663, Bank of Italy, Economic Research and International Relations Area.
    4. Antoine Bouveret & Martin Haferkorn & Gaetano Marseglia & Onofrio Panzarino, 2022. "Flash crashes on sovereign bond markets – EU evidence," Mercati, infrastrutture, sistemi di pagamento (Markets, Infrastructures, Payment Systems) 20, Bank of Italy, Directorate General for Markets and Payment System.
    5. Arthur Rossi & Ernest Lecomte & Théophile Legrand & Benoît Nguyen, 2023. "French sovereign debt liquidity: main factors, recent developments and resilience during the Covid crisis [Déterminants, évolutions de la liquidité de la dette souveraine française et résilience au," Bulletin de la Banque de France, Banque de France, issue 246.

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    More about this item

    Keywords

    Market liquidity; HFT; volatility spillover; government bonds;
    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

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