IDEAS home Printed from https://ideas.repec.org/p/nbr/nberwo/1135.html
   My bibliography  Save this paper

A Model of Exchange-Rate Determination with Policy Reaction: Evidence from Monthly Data

Author

Listed:
  • William H. Branson

Abstract

During the 1970s an extensive theoretical literature has developed analyzing market determination of freely floating exchange rates. At the same time, there has been extensive and continuous intervention in the market by central banks. Exchange rates have not been floating freely;they have been managed, or manipulated, by central banks. However, most of the description of exchange rate policy, as actually practiced, has been informal, or "literary," not integrated with the formal theoretical literature. Recent examples are the surveys in Branson (l98la) and Mussa (1981). In this paper I integrate exchange-rate policy into a model of exchange-rate behavior, and examine the monthly data from the 1970s econometrically,to infer hypotheses about policy behavior. I focus on four major currencies, the U.S. dollar, the Deutschemark, Sterling, and the Japanese yen,and analyze movements in their effective (weighted) exchange rates as calculated by the IMF. In section II a model of market determination of a floating exchange-rateis laid out. It is a rational-expectations version of the model in Branson(1977), and it draws on the model of Kouri (1978). It is the same as the model in Branson (1983). The model shows how unanticipated movements in money, the current account, and relative price levels will cause first a jump in the exchange rate, and then a movement along a "saddle path" tothe new long run equilibrium. Here the role of "news" in moving the exchangerate, as recently emphasized by Dornbusch (1980) and Frenkel (1981), is clear.The model emphasizes imperfect substitutability between domestic and foreign bonds, in order to prepare for the analysis of intervention policy in section III.Exchange-rate policy is introduced in section III. We analyze the options available to the central bank that wants to reduce the jump in the exchangerate following a real or monetary disturbance-"news" about the current account, relative prices, or money. This is the policy characterized as"leaning against the wind" in Branson (1976). The distinction ismade between monetary policy and sterilized intervention.In section IV we turn to the monthly data. The quarterly data were analyzed in Branson (1983). Systems of vector autoregressions (VARs) are estimated for each of the countries, and the correlations among their residuals are studied. These represent the "innovations," or "news" in the time series. A clear pattern emerges in these correlations, in which policy inthe U.S. and Japan drives exchange rates, and policy in Germany and the U.K. reacts by moving interest rates, and by sterilized intervention. This is essentially the same result that appeared on the quarterly data in Branson (1983). Thus the analyses tend to reinforce each other; both datasets tell basically the same story.

Suggested Citation

  • William H. Branson, 1983. "A Model of Exchange-Rate Determination with Policy Reaction: Evidence from Monthly Data," NBER Working Papers 1135, National Bureau of Economic Research, Inc.
  • Handle: RePEc:nbr:nberwo:1135
    Note: ITI IFM
    as

    Download full text from publisher

    File URL: http://www.nber.org/papers/w1135.pdf
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Taylor, John B., 1980. "Output and price stability: An international comparison," Journal of Economic Dynamics and Control, Elsevier, vol. 2(1), pages 109-132, May.
    2. Chow, Gregory C & Lin, An-loh, 1971. "Best Linear Unbiased Interpolation, Distribution, and Extrapolation of Time Series by Related Series," The Review of Economics and Statistics, MIT Press, vol. 53(4), pages 372-375, November.
    3. William H. Branson, 1981. "Macroeconomic Determinants of Real Exchange Rates," NBER Working Papers 0801, National Bureau of Economic Research, Inc.
    4. Sims, Christopher A, 1980. "Macroeconomics and Reality," Econometrica, Econometric Society, vol. 48(1), pages 1-48, January.
    5. Rudiger Dornbusch, 1980. "Exchange Rate Economics: Where Do We Stand?," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 11(1, Tenth ), pages 143-206.
    6. Pentti J.K. Kouri, 1978. "Balance of Payments and the Foreign Exchange Market: A Dynamic Partial Equilibrium Model," Cowles Foundation Discussion Papers 510, Cowles Foundation for Research in Economics, Yale University.
    7. Obstfeld, Maurice, 1982. "Can We Sterilize? Theory and Evidence," American Economic Review, American Economic Association, vol. 72(2), pages 45-50, May.
    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. Tian, Maoxi & El Khoury, Rim & Alshater, Muneer M., 2023. "The nonlinear and negative tail dependence and risk spillovers between foreign exchange and stock markets in emerging economies," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 82(C).
    2. Rabia Luqman & Rehana Kouser, 2018. "Asymmetrical Linkages between Foreign Exchange and Stock Markets: Empirical Evidence through Linear and Non-Linear ARDL," JRFM, MDPI, vol. 11(3), pages 1-13, August.
    3. Deniz Erer, 2023. "The Impact of News Related Covid-19 on Exchange Rate Volatility:A New Evidence From Generalized Autoregressive Score Model," EKOIST Journal of Econometrics and Statistics, Istanbul University, Faculty of Economics, vol. 0(38), pages 105-126, June.
    4. Deng-Kui SI & Xiao-Lin LI & Tsangyao CHANG & Lu BAI, 2018. "Co-movement and Causality between Nominal Exchange Rates and Interest Rate Differentials in BRICS Countries: A Wavelet Analysis," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(1), pages 5-19, December.
    5. Girardin, Eric & Salimi Namin, Fatemeh, 2019. "The January effect in the foreign exchange market: Evidence for seasonal equity carry trades," Economic Modelling, Elsevier, vol. 81(C), pages 422-439.
    6. Sakarombe, Upenyu & Marimbe-Makoni, Rudo, 2020. "Stock Exchange Fungibility and Exchange Rate Volatility in Zimbabwe," MPRA Paper 102464, University Library of Munich, Germany, revised 2020.
    7. O. P. C. Muhammed Rafi & M. Ramachandran, 2018. "Capital flows and exchange rate volatility: experience of emerging economies," Indian Economic Review, Springer, vol. 53(1), pages 183-205, December.
    8. Hong-Ghi Min & Judith A. McDonald & Sang-Ook Shin, 2016. "What Makes a Safe Haven? Equity and Currency Returns for Six OECD Countries during the Financial Crisis," Annals of Economics and Finance, Society for AEF, vol. 17(2), pages 365-402, November.
    9. Deng-Kui Si & Xiao-Lin Li & Xinyu Ge, 2020. "On the link between the exchange rates and interest rate differentials in China: evidence from an asymmetric wavelet analysis," Empirical Economics, Springer, vol. 59(6), pages 2925-2946, December.
    10. Thobekile Qabhobho & Anokye M. Adam & Emmanuel Asafo-Adjei, 2023. "Do Local and International Shocks Matter in the Interconnectedness amid Exchange Rates and Energy Commodities? Insights into BRICS Economies," International Journal of Energy Economics and Policy, Econjournals, vol. 13(6), pages 666-678, November.
    11. Erick Lusekelo Mwambuli & Zhang Xianzhi & Zakayo S. Kisava, 2016. "Volatility Spillover Effects Between Stock Prices and Exchange Rates in Emerging Economies: Evidence from Turkey," Business and Economic Research, Macrothink Institute, vol. 6(2), pages 343-359, December.
    12. Tanveer Bagh & Tahir Azad & Sadaf Razzaq & Idrees Liaqat & Muhammad Asif Khan, 2017. "The Impact of Exchange Rate Volatility on Stock Index: Evidence from Pakistan Stock Exchange (PSX)," International Journal of Academic Research in Accounting, Finance and Management Sciences, Human Resource Management Academic Research Society, International Journal of Academic Research in Accounting, Finance and Management Sciences, vol. 7(3), pages 70-86, July.
    13. Omer Ahmed Sayed Mohamed & Faiza Omer Mohammed Elmahgop, 2020. "Is the Effect of the Exchange Rate on Stock Prices Symmetric or Asymmetric? Evidence from Sudan," International Journal of Economics and Financial Issues, Econjournals, vol. 10(2), pages 209-215.

    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. William H. Branson, 1984. "Exchange Rate Policy after a Decade of "Floating"," NBER Chapters, in: Exchange Rate Theory and Practice, pages 79-118, National Bureau of Economic Research, Inc.
    2. William H. Branson, 1981. "Macroeconomic Determinants of Real Exchange Rates," NBER Working Papers 0801, National Bureau of Economic Research, Inc.
    3. Jérôme Héricourt & Iuliana Matei, 2007. "Transmission de la politique monétaire dans les pays d'E urope centrale et orientale : que savons-nous vraiment ?," Economie & Prévision, La Documentation Française, vol. 0(4), pages 221-238.
    4. Chibi Abderrahim & Chekouri Sidi Mohamed & Benbouziane Mohamed, 2019. "The Impact of Fiscal Policy on Economic Activity over the Business Cycle: An Empirical Investigation in the Case of Algeria," Review of Middle East Economics and Finance, De Gruyter, vol. 15(3), pages 1-23, December.
    5. Qian, Yu & Xu, Zeshui & Qin, Yong & Gou, Xunjie & Skare, Marinko, 2023. "Measuring the varying relationships between sustainable development and oil booms in different contexts: An empirical study," Resources Policy, Elsevier, vol. 85(PB).
    6. Zhandos Ybrayev, 2017. "The Prospect Of Inflation Targeting In Kazakhstan," Eurasian Journal of Economics and Finance, Eurasian Publications, vol. 5(1), pages 33-48.
    7. Thanabalasingam Vinayagathasan, 2014. "Monetary policy and the real economy: A structural VAR approach for Sri Lanka," Asian Journal of Empirical Research, Asian Economic and Social Society, vol. 4(1), pages 41-64, January.
    8. Ricco, Giovanni & Callegari, Giovanni & Cimadomo, Jacopo, 2016. "Signals from the government: Policy disagreement and the transmission of fiscal shocks," Journal of Monetary Economics, Elsevier, vol. 82(C), pages 107-118.
    9. María Dolores Gadea & Ana Gómez-Loscos & Antonio Montañés, 2016. "Oil Price and Economic Growth: A Long Story?," Econometrics, MDPI, vol. 4(4), pages 1-28, October.
    10. Herwartz, Helmut & Plödt, Martin, 2014. "Sign restrictions and statistical identification under volatility breaks -- Simulation based evidence and an empirical application to monetary policy analysis," VfS Annual Conference 2014 (Hamburg): Evidence-based Economic Policy 100326, Verein für Socialpolitik / German Economic Association.
    11. Tao Zha & Kaiji Chen, 2017. "The Asymmetric Transmission of China's Monetary Policy," 2017 Meeting Papers 516, Society for Economic Dynamics.
    12. David Aristei & Luca Pieroni, 2005. "Estimating the Role of Government Expenditure in Long-run Consumption," Quaderni del Dipartimento di Economia, Finanza e Statistica 13/2005, Università di Perugia, Dipartimento Economia.
    13. Muhsin Kar & Tayfur Bayat & Selim Kayhan, 2016. "Impacts of Credit Default Swaps on Volatility of the Exchange Rate in Turkey: The Case of Euro," IJFS, MDPI, vol. 4(3), pages 1-18, July.
    14. Sun, Lixin, 2016. "Corporate Deleveraging and Macroeconomic Policies: Evidence from China," MPRA Paper 69140, University Library of Munich, Germany.
    15. Jérôme Héricourt, 2005. "Monetary policy transmission in the CEECs: a comprehensive analysis," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) halshs-00193947, HAL.
    16. Michael Ehrmann, 2000. "Comparing monetary policy transmission across European countries," Review of World Economics (Weltwirtschaftliches Archiv), Springer;Institut für Weltwirtschaft (Kiel Institute for the World Economy), vol. 136(1), pages 58-83, March.
    17. Kim, Soyoung, 2015. "Country characteristics and the effects of government consumption shocks on the current account and real exchange rate," Journal of International Economics, Elsevier, vol. 97(2), pages 436-447.
    18. Nguyen, Bao & Sum, Dek, 2019. "Macroeconomic Shocks and Trade Balance Adjustments in Papua New Guinea," MPRA Paper 93033, University Library of Munich, Germany.
    19. Stefan Schiman & Harald Badinger, 2020. "Measuring Monetary Policy with Residual Sign Restrictions at Known Shock Dates," WIFO Working Papers 608, WIFO.
    20. Tafirenyika Sunde & Olusegun A. Akanbi, 2016. "Sources of unemployment in Namibia: an application of the structural VAR approach," International Journal of Sustainable Economy, Inderscience Enterprises Ltd, vol. 8(2), pages 125-143.

    More about this item

    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:1135. 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.