IDEAS home Printed from https://ideas.repec.org/p/nbr/nberwo/6874.html
   My bibliography  Save this paper

Financial Markets' Assessment of EMU

Author

Listed:
  • David S. Bates

Abstract

This article reviews the assumptions and methodologies underlying EMU probability calculators,' which infer from financial data the probability of specific countries joining the European Monetary Union. Some historical evidence is presented in support of the expectations hypothesis for intra-European interest rate differentials underlying most calculators, while various potential biases are deemed negligible. The various EMU calculators differ primarily in their scenarios for intra-European interest rate differentials conditional upon EMU not occurring. This article also discusses what can be inferred from financial data regarding future policies of the European Central Bank.

Suggested Citation

  • David S. Bates, 1999. "Financial Markets' Assessment of EMU," NBER Working Papers 6874, National Bureau of Economic Research, Inc.
    • Handle: RePEc:nbr:nberwo:6874
    Note: IFM
    as

    Download full text from publisher

    File URL: http://www.nber.org/papers/w6874.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. José M. Campa & P.H. Kevin Chang & Robert L. Reider, 1997. "ERM bandwidths for EMU and after: evidence from foreign exchange options," Economic Policy, CEPR, CESifo, Sciences Po;CES;MSH, vol. 12(24), pages 53-89.
    2. John H. Cochrane & Jesus Saa-Requejo, 2000. "Beyond Arbitrage: Good-Deal Asset Price Bounds in Incomplete Markets," Journal of Political Economy, University of Chicago Press, vol. 108(1), pages 79-119, February.
    3. Gerlach, Stefan & Smets, Frank, 1997. "Exchange Rate Regimes and the Expectations Hypothesis of the Term Structure," CEPR Discussion Papers 1752, C.E.P.R. Discussion Papers.
    4. C Bean, 1992. "Economic and Monetary Union," CEP Discussion Papers dp0086, Centre for Economic Performance, LSE.
    5. Giuseppe Bertola & Lars E. O. Svensson, 1993. "Stochastic Devaluation Risk and the Empirical Fit of Target-Zone Models," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 60(3), pages 689-712.
    6. John C. Cox & Jonathan E. Ingersoll Jr. & Stephen A. Ross, 2005. "A Theory Of The Term Structure Of Interest Rates," World Scientific Book Chapters, in: Sudipto Bhattacharya & George M Constantinides (ed.), Theory Of Valuation, chapter 5, pages 129-164, World Scientific Publishing Co. Pte. Ltd..
    7. De Grauwe, Paul, 1996. "Forward Interest Rates as Predictors of EMU," CEPR Discussion Papers 1395, C.E.P.R. Discussion Papers.
    8. R. H. Shumway & D. S. Stoffer, 1982. "An Approach To Time Series Smoothing And Forecasting Using The Em Algorithm," Journal of Time Series Analysis, Wiley Blackwell, vol. 3(4), pages 253-264, July.
    9. Bekaert, Geert & Hodrick, Robert J. & Marshall, David A., 2001. "Peso problem explanations for term structure anomalies," Journal of Monetary Economics, Elsevier, vol. 48(2), pages 241-270, October.
    10. Soderlind, Paul & Svensson, Lars, 1997. "New techniques to extract market expectations from financial instruments," Journal of Monetary Economics, Elsevier, vol. 40(2), pages 383-429, October.
    11. Gerlach, Stefan & Smets, Frank, 1997. "The term structure of Euro-rates: some evidence in support of the expectations hypothesis," Journal of International Money and Finance, Elsevier, vol. 16(2), pages 305-321, April.
    12. Clarida, Richard & Gali, Jordi & Gertler, Mark, 1998. "Monetary policy rules in practice Some international evidence," European Economic Review, Elsevier, vol. 42(6), pages 1033-1067, June.
    13. Scott, Louis O., 1987. "Option Pricing when the Variance Changes Randomly: Theory, Estimation, and an Application," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 22(4), pages 419-438, December.
    14. 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.
    15. Charles R. Bean, 1992. "Economic and Monetary Union in Europe," Journal of Economic Perspectives, American Economic Association, vol. 6(4), pages 31-52, Fall.
    16. Cox, John C & Ingersoll, Jonathan E, Jr & Ross, Stephen A, 1985. "An Intertemporal General Equilibrium Model of Asset Prices," Econometrica, Econometric Society, vol. 53(2), pages 363-384, March.
    17. Hardouvelis, Gikas A., 1994. "The term structure spread and future changes in long and short rates in the G7 countries: Is there a puzzle?," Journal of Monetary Economics, Elsevier, vol. 33(2), pages 255-283, April.
    18. Hull, John C & White, Alan D, 1987. "The Pricing of Options on Assets with Stochastic Volatilities," Journal of Finance, American Finance Association, vol. 42(2), pages 281-300, June.
    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. Diebold, Francis X. & Li, Canlin, 2006. "Forecasting the term structure of government bond yields," Journal of Econometrics, Elsevier, vol. 130(2), pages 337-364, February.
    2. Viktors Ajevskis & Kristine Vitola, 2010. "A Convergence Model of the Term Structure of Interest Rates," Review of Finance, European Finance Association, vol. 14(4), pages 727-747.
    3. Fagan, Gabriel & Gaspar, Ví­tor, 2007. "Adjusting to the euro," Working Paper Series 716, European Central Bank.
    4. Favero, Carlo A., 1999. "Financial markets' assessments of EMU : A comment," Carnegie-Rochester Conference Series on Public Policy, Elsevier, vol. 51(1), pages 271-280, December.
    5. Driessen, Joost & Perotti, Enrico, 2011. "Confidence building on Euro convergence: Evidence from currency options," Journal of International Money and Finance, Elsevier, vol. 30(3), pages 474-491, April.
    6. Piotr Mielus, 2012. "Market Measures of Convergence in Central & Eastern Europe Emerging Markets in the Period of Turbulences on the Financial Market," Ekonomia journal, Faculty of Economic Sciences, University of Warsaw, vol. 31.

    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. Bates, David S., 1999. "Financial markets' assessments of EMU," Carnegie-Rochester Conference Series on Public Policy, Elsevier, vol. 51(1), pages 229-269, December.
    2. repec:hal:spmain:info:hdl:2441/5221 is not listed on IDEAS
    3. repec:spo:wpmain:info:hdl:2441/5221 is not listed on IDEAS
    4. Eric Jondeau & Franck Sédillot, 1999. "Forecasting French and German long-term rates using a rational expectations model," Review of World Economics (Weltwirtschaftliches Archiv), Springer;Institut für Weltwirtschaft (Kiel Institute for the World Economy), vol. 135(3), pages 413-436, September.
    5. Jelena Zubkova, 2003. "Interest Rate Term Structure in Latvia in the Monetary Policy Context," Working Papers 2003/03, Latvijas Banka.
    6. Mondher Bellalah, 2009. "Derivatives, Risk Management & Value," World Scientific Books, World Scientific Publishing Co. Pte. Ltd., number 7175, August.
    7. Livio Stracca, "undated". "Economics and Politics: Interest Rate Convergence in Europe and EMU," Discussion Papers in European Economics 99/6, Division of Economics, School of Business, University of Leicester.
    8. Petra Gerlach-Kristen, 2007. "Three aspects of the Swiss term structure: an empirical survey," Financial Markets and Portfolio Management, Springer;Swiss Society for Financial Market Research, vol. 21(2), pages 221-240, June.
    9. Qiang Dai & Kenneth Singleton, 2003. "Term Structure Dynamics in Theory and Reality," The Review of Financial Studies, Society for Financial Studies, vol. 16(3), pages 631-678, July.
    10. Favero, Carlo A. & Giavazzi, Francesco & Iacone, Fabrizio & Guido Tabellini, 2000. "Extracting information from asset prices: The methodology of EMU calculators," European Economic Review, Elsevier, vol. 44(9), pages 1607-1632, October.
    11. Lim, Terence & Lo, Andrew W. & Merton, Robert C. & Scholes, Myron S., 2006. "The Derivatives Sourcebook," Foundations and Trends(R) in Finance, now publishers, vol. 1(5–6), pages 365-572, April.
    12. Hordahl, Peter & Tristani, Oreste & Vestin, David, 2006. "A joint econometric model of macroeconomic and term-structure dynamics," Journal of Econometrics, Elsevier, vol. 131(1-2), pages 405-444.
    13. Backus, David & Foresi, Silverio & Mozumdar, Abon & Wu, Liuren, 2001. "Predictable changes in yields and forward rates," Journal of Financial Economics, Elsevier, vol. 59(3), pages 281-311, March.
    14. Guidolin, Massimo & Thornton, Daniel L., 2018. "Predictions of short-term rates and the expectations hypothesis," International Journal of Forecasting, Elsevier, vol. 34(4), pages 636-664.
    15. Gonçalo Faria & João Correia-da-Silva, 2014. "A closed-form solution for options with ambiguity about stochastic volatility," Review of Derivatives Research, Springer, vol. 17(2), pages 125-159, July.
    16. Bekaert, Geert & Hodrick, Robert J. & Marshall, David A., 2001. "Peso problem explanations for term structure anomalies," Journal of Monetary Economics, Elsevier, vol. 48(2), pages 241-270, October.
    17. Bates, David S., 2000. "Post-'87 crash fears in the S&P 500 futures option market," Journal of Econometrics, Elsevier, vol. 94(1-2), pages 181-238.
    18. Leo Krippner, 2005. "Investigating the Relationships between the Yield Curve, Output and Inflation using an Arbitrage-Free Version of the Nelson and Siegel Class of Yield Curve Models," Working Papers in Economics 05/02, University of Waikato.
    19. Carl Chiarella & Xue-Zhong He & Christina Sklibosios Nikitopoulos, 2015. "Derivative Security Pricing," Dynamic Modeling and Econometrics in Economics and Finance, Springer, edition 127, number 978-3-662-45906-5, June.
    20. Naoto Kunitomo & Yong‐Jin Kim, 2007. "Effects Of Stochastic Interest Rates And Volatility On Contingent Claims," The Japanese Economic Review, Japanese Economic Association, vol. 58(1), pages 71-106, March.
    21. Naoto Kunitomo & Yong-Jin Kim, 2000. "Effects of Stochastic Interest Rates and Volatility on Contingent Claims," CIRJE F-Series CIRJE-F-67, CIRJE, Faculty of Economics, University of Tokyo.
    22. Jondeau, E. & Sedillot, F., 1998. "La prevision des taux longs français et allemands a partir d'un modele a anticipations rationnelles," Working papers 55, Banque de France.

    More about this item

    JEL classification:

    • F36 - International Economics - - International Finance - - - Financial Aspects of Economic Integration

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:nbr:nberwo:6874. 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: the person in charge (email available below). General contact details of provider: https://edirc.repec.org/data/nberrus.html .

    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.