IDEAS home Printed from https://ideas.repec.org/a/taf/apeclt/v19y2012i18p1827-1839.html
   My bibliography  Save this article

Trading directions and the pricing of Euro interbank deposits in the long run

Author

Listed:
  • Massimiliano Marzo
  • Paolo Zagaglia

Abstract

We investigate the relation between aggregate trading imbalances and interest rates in the Euro money market. We use data for OTC contracts as well as information from the major electronic trading platform in Europe to study the presence of cointegration between trading pressures and money market rates. We report strong evidence of a long-term linear relation between trading imbalances and liquidity prices for Euro interbank deposits.

Suggested Citation

  • Massimiliano Marzo & Paolo Zagaglia, 2012. "Trading directions and the pricing of Euro interbank deposits in the long run," Applied Economics Letters, Taylor & Francis Journals, vol. 19(18), pages 1827-1839, December.
    • Handle: RePEc:taf:apeclt:v:19:y:2012:i:18:p:1827-1839
    DOI: 10.1080/13504851.2012.663467
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/13504851.2012.663467
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1080/13504851.2012.663467?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to look for a different version below or search for a different version of it.

    Other versions of this item:

    References listed on IDEAS

    as
    1. Bjonnes, Geir Hoidal & Rime, Dagfinn, 2005. "Dealer behavior and trading systems in foreign exchange markets," Journal of Financial Economics, Elsevier, vol. 75(3), pages 571-605, March.
    2. Alain Durré & Stefano Nardelli, 2008. "Volatility in the Euro area money market: effects from the monetary policy operational framework," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 13(4), pages 307-322.
    3. Lee, Charles M C & Ready, Mark J, 1991. "Inferring Trade Direction from Intraday Data," Journal of Finance, American Finance Association, vol. 46(2), pages 733-746, June.
    4. Bierens, Herman J., 1982. "Consistent model specification tests," Journal of Econometrics, Elsevier, vol. 20(1), pages 105-134, October.
    5. Haitao Li & Junbo Wang & Chunchi Wu & Yan He, 2009. "Are Liquidity and Information Risks Priced in the Treasury Bond Market?," Journal of Finance, American Finance Association, vol. 64(1), pages 467-503, February.
    6. Easley, David & O'Hara, Maureen, 1987. "Price, trade size, and information in securities markets," Journal of Financial Economics, Elsevier, vol. 19(1), pages 69-90, September.
    7. Angelo Baglioni & Andrea Monticini, 2008. "The Intraday Price of Money: Evidence from the e‐MID Interbank Market," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 40(7), pages 1533-1540, October.
    8. Boyer, M. Martin & van Norden, Simon, 2006. "Exchange rates and order flow in the long run," Finance Research Letters, Elsevier, vol. 3(4), pages 235-243, December.
    9. Paolo Angelini & Andrea Nobili & Cristina Picillo, 2011. "The Interbank Market after August 2007: What Has Changed, and Why?," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 43(5), pages 923-958, August.
    10. Johansen, Soren, 1988. "Statistical analysis of cointegration vectors," Journal of Economic Dynamics and Control, Elsevier, vol. 12(2-3), pages 231-254.
    11. Easley, David & O'Hara, Maureen, 1992. "Time and the Process of Security Price Adjustment," Journal of Finance, American Finance Association, vol. 47(2), pages 576-605, June.
    12. Bierens, Herman J., 1997. "Nonparametric cointegration analysis," Journal of Econometrics, Elsevier, vol. 77(2), pages 379-404, April.
    13. Frank Westerhoff, 2003. "Market-maker, inventory control and foreign exchange dynamics," Quantitative Finance, Taylor & Francis Journals, vol. 3(5), pages 363-369.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Ledenyov, Dimitri O. & Ledenyov, Viktor O., 2015. "Wave function method to forecast foreign currencies exchange rates at ultra high frequency electronic trading in foreign currencies exchange markets," MPRA Paper 67470, University Library of Munich, Germany.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Ledenyov, Dimitri O. & Ledenyov, Viktor O., 2015. "Wave function method to forecast foreign currencies exchange rates at ultra high frequency electronic trading in foreign currencies exchange markets," MPRA Paper 67470, University Library of Munich, Germany.
    2. Marzo, Massimiliano & Zagaglia, Paolo, 2014. "Asymmetric information and term lending in the Euro money market: Evidence from the beginning of the turmoil," The Quarterly Review of Economics and Finance, Elsevier, vol. 54(4), pages 487-499.
    3. Richard K. Lyons, 1996. "Foreign Exchange Volume: Sound and Fury Signifying Nothing?," NBER Chapters, in: The Microstructure of Foreign Exchange Markets, pages 183-208, National Bureau of Economic Research, Inc.
    4. Meihui Guo & Yi-Ting Guo & Chi-Jeng Wang & Liang-Ching Lin, 2015. "Assessing influential trade effects via high-frequency market reactions," Journal of Applied Statistics, Taylor & Francis Journals, vol. 42(7), pages 1458-1471, July.
    5. Marco Wölfle, 2009. "Information-based trade in Russia and the effects of listing abroad," Economic Change and Restructuring, Springer, vol. 42(4), pages 229-262, November.
    6. Pascual, Roberto & Escribano, Álvaro & Tapia, Mikel, 1999. "How does liquidity behave? A multidimensional analysis of NYSE stocks," DEE - Working Papers. Business Economics. WB 6433, Universidad Carlos III de Madrid. Departamento de Economía de la Empresa.
    7. Mazza, Paolo, 2015. "Price dynamics and market liquidity: An intraday event study on Euronext," The Quarterly Review of Economics and Finance, Elsevier, vol. 56(C), pages 139-153.
    8. Kedia, Simi & Zhou, Xing, 2011. "Local market makers, liquidity and market quality," Journal of Financial Markets, Elsevier, vol. 14(4), pages 540-567, November.
    9. Thomas Pöppe & Michael Aitken & Dirk Schiereck & Ingo Wiegand, 2016. "A PIN per day shows what news convey: the intraday probability of informed trading," Review of Quantitative Finance and Accounting, Springer, vol. 47(4), pages 1187-1220, November.
    10. Pascual, Roberto & Pascual-Fuster, Bartolome & Climent, Francisco, 2006. "Cross-listing, price discovery and the informativeness of the trading process," Journal of Financial Markets, Elsevier, vol. 9(2), pages 144-161, May.
    11. Ramazan Gençay & Nikola Gradojevic & Richard Olsen & Faruk Selçuk, 2015. "Informed traders’ arrival in foreign exchange markets: Does geography matter?," Empirical Economics, Springer, vol. 49(4), pages 1431-1462, December.
    12. Imen Kouki & Mahfuzul Haque, 2009. "Tunisian Dealer Behaviour in FX Market," Journal of Emerging Market Finance, Institute for Financial Management and Research, vol. 8(3), pages 265-287, September.
    13. Katsuhiko Muramiya & Kazuhisa Otogawa & Tomomi Takada, 2008. "Abnormal Accrual, Informed Trader, and Long-Term Stock Return: Evidence from Japan," Discussion Paper Series 233, Research Institute for Economics & Business Administration, Kobe University.
    14. Cosmin Octavian Cepoi & Victor Dragotă & Ruxandra Trifan & Andreea Iordache, 2023. "Probability of informed trading during the COVID-19 pandemic: the case of the Romanian stock market," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 9(1), pages 1-27, December.
    15. N. Taylor & Y. Xu, 2017. "The logarithmic vector multiplicative error model: an application to high frequency NYSE stock data," Quantitative Finance, Taylor & Francis Journals, vol. 17(7), pages 1021-1035, July.
    16. Groß-Klußmann, Axel & Hautsch, Nikolaus, 2011. "When machines read the news: Using automated text analytics to quantify high frequency news-implied market reactions," Journal of Empirical Finance, Elsevier, vol. 18(2), pages 321-340, March.
    17. Lyons, Richard K., 1995. "Tests of microstructural hypotheses in the foreign exchange market," Journal of Financial Economics, Elsevier, vol. 39(2-3), pages 321-351.
    18. Caterina Liberati & Massimiliano Marzo & Paolo Zagaglia & Paola Zappa, 2015. "Drivers of demand and supply in the Euro interbank market: the role of “Key Players” during the recent turmoil," Financial Markets and Portfolio Management, Springer;Swiss Society for Financial Market Research, vol. 29(3), pages 207-250, August.
    19. Chakravarty, Sugato, 2001. "Stealth-trading: Which traders' trades move stock prices?," Journal of Financial Economics, Elsevier, vol. 61(2), pages 289-307, August.
    20. Boehmer, Ekkehart & Grammig, Joachim & Theissen, Erik, 2007. "Estimating the probability of informed trading--does trade misclassification matter?," Journal of Financial Markets, Elsevier, vol. 10(1), pages 26-47, February.

    More about this item

    JEL classification:

    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading
    • E52 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Monetary Policy

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:taf:apeclt:v:19:y:2012:i:18:p:1827-1839. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/RAEL20 .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.