[go: up one dir, main page]

IDEAS home Printed from https://ideas.repec.org/p/ctn/dpaper/2020-01.html
   My bibliography  Save this paper

Unemployment fluctuations and currency returns in the United Kingdom: Evidence from over one and a half century of data

Author

Listed:
  • Deven Bathia

    (School of Business and Management, Queen Mary University of London)

  • Riza Demirer

    (Department of Economics and Finance, Southern Illinois University Edwardsville)

  • Rangan Gupta

    (Department of Economics, University of Pretoria)

  • Kevin Kotze

    (School of Economics, University of Cape Town)

Abstract
This paper provides a long-term perspective to the causal linkages between currency dynamics and macroeconomic conditions by utilising a long span data set for the United Kingdom that extends back to 1856 and a time-varying causality testing methodology that accounts for the nonlinearity and structural breaks. Using unemployment fluctuations as a proxy for macroeconomic conditions and wavelet decompositions to obtain the fundamental factor that drives excess returns for the British pound, time varying causality tests based on alternative model specifications yield significant evidence of causal linkages and information spillovers across the labour and currency markets over the majority of the sample. Causal effects seem to strengthen during the Great Depression and later following the collapse of the Bretton Woods system, highlighting the role of economic crises in the predictive linkages between the two markets. While the predictive role of currency market dynamics over unemployment fluctuations reflects the effect of exchange rate volatility on corporate investment decisions, which in turn, drives subsequent labour market dynamics (e.g. Belke and Gross (2001); Belke and Kaas (2004); Feldman (2011); among others), we argue that causality in the direction of exchange rates from unemployment possibly reflects the signals regarding monetary policy actions, which in turn, spills over to financial markets. Overall, the findings indicate significant information spillovers across the labour and currency markets in both directions with significant policy making implications.

Suggested Citation

  • Deven Bathia & Riza Demirer & Rangan Gupta & Kevin Kotze, 2020. "Unemployment fluctuations and currency returns in the United Kingdom: Evidence from over one and a half century of data," School of Economics Macroeconomic Discussion Paper Series 2020-01, School of Economics, University of Cape Town.
  • Handle: RePEc:ctn:dpaper:2020-01
    as

    Download full text from publisher

    File URL: https://drive.google.com/file/d/18DKBWXghYEcGJxozl1TNwQIlSWBoXlYv/view?usp=sharing
    File Function: Full text
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Nucera, Federico, 2017. "Unemployment fluctuations and the predictability of currency returns," Journal of Banking & Finance, Elsevier, vol. 84(C), pages 88-106.
    2. Cheung, Yin-Wong & Ng, Lilian K., 1996. "A causality-in-variance test and its application to financial market prices," Journal of Econometrics, Elsevier, vol. 72(1-2), pages 33-48.
    3. Berg, Kimberly A. & Mark, Nelson C., 2018. "Global macro risks in currency excess returns," Journal of Empirical Finance, Elsevier, vol. 45(C), pages 300-315.
    4. Maurice Obstfeld & Kenneth Rogoff, 2001. "The Six Major Puzzles in International Macroeconomics: Is There a Common Cause?," NBER Chapters, in: NBER Macroeconomics Annual 2000, Volume 15, pages 339-412, National Bureau of Economic Research, Inc.
    5. Timothy Cogley & Thomas J. Sargent, 2005. "Drift and Volatilities: Monetary Policies and Outcomes in the Post WWII U.S," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 8(2), pages 262-302, April.
    6. Robert F. Engle & Kevin Sheppard, 2001. "Theoretical and Empirical properties of Dynamic Conditional Correlation Multivariate GARCH," NBER Working Papers 8554, National Bureau of Economic Research, Inc.
    7. Dimitris K. Christopoulos & Miguel A. León-Ledesma, 2008. "Testing for Granger (non-)causality in a time-varying coefficient VAR model," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 27(4), pages 293-303.
    8. Engel, Charles & West, Kenneth D., 2006. "Taylor Rules and the Deutschmark: Dollar Real Exchange Rate," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 38(5), pages 1175-1194, August.
    9. Engle, Robert & Granger, Clive, 2015. "Co-integration and error correction: Representation, estimation, and testing," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 39(3), pages 106-135.
    10. Charles Engel & Kenneth D. West, 2005. "Exchange Rates and Fundamentals," Journal of Political Economy, University of Chicago Press, vol. 113(3), pages 485-517, June.
    11. Bansal, Ravi & Dahlquist, Magnus, 2000. "The forward premium puzzle: different tales from developed and emerging economies," Journal of International Economics, Elsevier, vol. 51(1), pages 115-144, June.
    12. Pasquale Della Corte & Steven J. Riddiough & Lucio Sarno, 2016. "Currency Premia and Global Imbalances," Review of Financial Studies, Society for Financial Studies, vol. 29(8), pages 2161-2193.
    13. Ansgar Belke & Daniel Gros, 2002. "Monetary Integration in the Southern Cone: Mercosur is not like the EU?," Working Papers 72, Oesterreichische Nationalbank (Austrian Central Bank).
    14. Ansgar Belke & Leo Kaas, 2004. "Exchange Rate Movements and Employment Growth: An OCA Assessment of the CEE Economies," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 31(2), pages 247-280, June.
    15. Jeremy Berkowitz & Lorenzo Giorgianni, 2001. "Long-Horizon Exchange Rate Predictability?," The Review of Economics and Statistics, MIT Press, vol. 83(1), pages 81-91, February.
    16. Belke, Ansgar & Gros, Daniel, 2002. "Monetary integration in the Southern Cone," The North American Journal of Economics and Finance, Elsevier, vol. 13(3), pages 323-349, December.
    17. Baxter, Marianne, 1994. "Real exchange rates and real interest differentials: Have we missed the business-cycle relationship?," Journal of Monetary Economics, Elsevier, vol. 33(1), pages 5-37, February.
    18. Charles Engel & Nelson C. Mark & Kenneth D. West, 2008. "Exchange Rate Models Are Not as Bad as You Think," NBER Chapters, in: NBER Macroeconomics Annual 2007, Volume 22, pages 381-441, National Bureau of Economic Research, Inc.
    19. Ben S. Bernanke & Kenneth Rogoff, 2001. "Editorial in "NBER Macroeconomics Annual 2000, Volume 15"," NBER Chapters, in: NBER Macroeconomics Annual 2000, Volume 15, pages 1-4, National Bureau of Economic Research, Inc.
    20. Yu-Chin Chen & Kenneth S. Rogoff & Barbara Rossi, 2010. "Can Exchange Rates Forecast Commodity Prices?," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 125(3), pages 1145-1194.
    21. Aleksejs Krecetovs & Pasquale Della Corte, 2016. "Macro uncertainty and currency premia," 2016 Meeting Papers 624, Society for Economic Dynamics.
    22. Park, Joon Y. & Hahn, Sang B., 1999. "Cointegrating Regressions With Time Varying Coefficients," Econometric Theory, Cambridge University Press, vol. 15(5), pages 664-703, October.
    23. Aaltonen, J. & Östermark, R., 1997. "A rolling test of granger causality between the Finnish and Japanese security markets," Omega, Elsevier, vol. 25(6), pages 635-642, December.
    24. Yin, Weiwei & Li, Junye, 2014. "Macroeconomic fundamentals and the exchange rate dynamics: A no-arbitrage macro-finance approach," Journal of International Money and Finance, Elsevier, vol. 41(C), pages 46-64.
    25. Pasquale Della Corte & Lucio Sarno & Giulia Sestieri, 2012. "The Predictive Information Content of External Imbalances for Exchange Rate Returns: How Much Is It Worth?," The Review of Economics and Statistics, MIT Press, vol. 94(1), pages 100-115, February.
    26. Frenkel, Jacob A. & Mussa, Michael L., 1985. "Asset markets, exchange rates and the balance of payments," Handbook of International Economics, in: R. W. Jones & P. B. Kenen (ed.), Handbook of International Economics, edition 1, volume 2, chapter 14, pages 679-747, Elsevier.
    27. Matthews, R. C. O. & Feinstein, C. H. & Odling-Smee, J., 1982. "British Economic Growth 1856-1973: The Post-War Period in Historical Perspective," OUP Catalogue, Oxford University Press, number 9780198284536.
    28. Ansgar Belke & Daniel Gros, 2002. "Designing EU–US Atlantic Monetary Relations: Exchange Rate Variability and Labour Markets," The World Economy, Wiley Blackwell, vol. 25(6), pages 789-813, June.
    29. Sergei Sarkissian, 2003. "Incomplete Consumption Risk Sharing and Currency Risk Premiums," The Review of Financial Studies, Society for Financial Studies, vol. 16(3), pages 983-1005, July.
    30. Ansgar Belke, 2005. "Exchange Rate Movements and Unemployment in the EU Accession Countries—A Panel Analysis," Review of Development Economics, Wiley Blackwell, vol. 9(2), pages 249-263, May.
    31. Lu, Feng-bin & Hong, Yong-miao & Wang, Shou-yang & Lai, Kin-keung & Liu, John, 2014. "Time-varying Granger causality tests for applications in global crude oil markets," Energy Economics, Elsevier, vol. 42(C), pages 289-298.
    32. Ansgar Belke & Daniel Gros, 2001. "Real Impacts of Intra-European Exchange Rate Variability: A Case for EMU?," Open Economies Review, Springer, vol. 12(3), pages 231-264, July.
    33. Ben S. Bernanke & Kenneth S. Rogoff (ed.), 2001. "NBER Macroeconomics Annual 2000," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262523140, April.
    34. Granger, C. W. J., 1980. "Testing for causality : A personal viewpoint," Journal of Economic Dynamics and Control, Elsevier, vol. 2(1), pages 329-352, May.
    35. Andersen, Torben M. & Sorensen, Jan Rose, 1988. "Exchange rate variability and wage formation in open economies," Economics Letters, Elsevier, vol. 28(3), pages 263-268.
    36. Giorgio E. Primiceri, 2005. "Time Varying Structural Vector Autoregressions and Monetary Policy," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 72(3), pages 821-852.
    37. 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.
    38. Abhyankar, Abhay & Sarno, Lucio & Valente, Giorgio, 2005. "Exchange rates and fundamentals: evidence on the economic value of predictability," Journal of International Economics, Elsevier, vol. 66(2), pages 325-348, July.
    39. Lucio Sarno & Maik Schmeling, 2014. "Which Fundamentals Drive Exchange Rates? A Cross‐Sectional Perspective," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 46(2-3), pages 267-292, March.
    40. Jushan Bai & Pierre Perron, 2003. "Computation and analysis of multiple structural change models," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 18(1), pages 1-22.
    41. Hong, Yongmiao, 2001. "A test for volatility spillover with application to exchange rates," Journal of Econometrics, Elsevier, vol. 103(1-2), pages 183-224, July.
    42. K. G. P. Matthews, 1986. "Was Sterling Overvalued in 192s?," Economic History Review, Economic History Society, vol. 39(4), pages 572-587, November.
    43. Sims, Christopher A, 1972. "Money, Income, and Causality," American Economic Review, American Economic Association, vol. 62(4), pages 540-552, September.
    44. Faust, Jon & Rogers, John H. & H. Wright, Jonathan, 2003. "Exchange rate forecasting: the errors we've really made," Journal of International Economics, Elsevier, vol. 60(1), pages 35-59, May.
    45. Meese, Richard A. & Rogoff, Kenneth, 1983. "Empirical exchange rate models of the seventies : Do they fit out of sample?," Journal of International Economics, Elsevier, vol. 14(1-2), pages 3-24, February.
    46. Friedman, Milton, 1977. "Nobel Lecture: Inflation and Unemployment," Journal of Political Economy, University of Chicago Press, vol. 85(3), pages 451-472, June.
    47. Ben S. Bernanke & Kenneth Rogoff, 2001. "NBER Macroeconomics Annual 2000, Volume 15," NBER Books, National Bureau of Economic Research, Inc, number bern01-1.
    48. Johansen, Soren, 1995. "Likelihood-Based Inference in Cointegrated Vector Autoregressive Models," OUP Catalogue, Oxford University Press, number 9780198774501.
    49. Bierens, Herman J. & Martins, Luis F., 2010. "Time-Varying Cointegration," Econometric Theory, Cambridge University Press, vol. 26(5), pages 1453-1490, October.
    50. Mark, Nelson C, 1995. "Exchange Rates and Fundamentals: Evidence on Long-Horizon Predictability," American Economic Review, American Economic Association, vol. 85(1), pages 201-218, March.
    51. Engle, Robert, 2002. "Dynamic Conditional Correlation: A Simple Class of Multivariate Generalized Autoregressive Conditional Heteroskedasticity Models," Journal of Business & Economic Statistics, American Statistical Association, vol. 20(3), pages 339-350, July.
    52. Yi-Ting Chen, 2016. "Testing for Granger Causality in Moments," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 78(2), pages 265-288, April.
    53. Claudia Stirböck & Herbert Buscher, 2000. "Exchange rate volatility effects on labour markets," Intereconomics: Review of European Economic Policy, Springer;ZBW - Leibniz Information Centre for Economics;Centre for European Policy Studies (CEPS), vol. 35(1), pages 9-22, January.
    54. Breitung, Jorg & Candelon, Bertrand, 2006. "Testing for short- and long-run causality: A frequency-domain approach," Journal of Econometrics, Elsevier, vol. 132(2), pages 363-378, June.
    55. Engle, Robert F, 1982. "Autoregressive Conditional Heteroscedasticity with Estimates of the Variance of United Kingdom Inflation," Econometrica, Econometric Society, vol. 50(4), pages 987-1007, July.
    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. Caporin, Massimiliano & Costola, Michele, 2022. "Time-varying Granger causality tests in the energy markets: A study on the DCC-MGARCH Hong test," Energy Economics, Elsevier, vol. 111(C).
    2. Caporina, Massimiliano & Costola, Michele, 2021. "Time-varying granger causality tests for applications in global crude oil markets: A study on the DCC-MGARCH Hong test," SAFE Working Paper Series 324, Leibniz Institute for Financial Research SAFE.

    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. Stijn Claessens & M Ayhan Kose, 2017. "Asset prices and macroeconomic outcomes: a survey," BIS Working Papers 676, Bank for International Settlements.
    2. Stijn Claessens & M Ayhan Kose, 2018. "Frontiers of macrofinancial linkages," BIS Papers, Bank for International Settlements, number 95.
    3. Engel, Charles, 2014. "Exchange Rates and Interest Parity," Handbook of International Economics, in: Gopinath, G. & Helpman, . & Rogoff, K. (ed.), Handbook of International Economics, edition 1, volume 4, chapter 0, pages 453-522, Elsevier.
    4. Lasha Kavtaradze & Manouchehr Mokhtari, 2018. "Factor Models And Time†Varying Parameter Framework For Forecasting Exchange Rates And Inflation: A Survey," Journal of Economic Surveys, Wiley Blackwell, vol. 32(2), pages 302-334, April.
    5. 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.
    6. Barbara Rossi, 2013. "Exchange Rate Predictability," Journal of Economic Literature, American Economic Association, vol. 51(4), pages 1063-1119, December.
    7. Dahlquist, Magnus & Hasseltoft, Henrik, 2020. "Economic momentum and currency returns," Journal of Financial Economics, Elsevier, vol. 136(1), pages 152-167.
    8. John D. Levendis, 2018. "Time Series Econometrics," Springer Texts in Business and Economics, Springer, number 978-3-319-98282-3, December.
    9. Lucio Sarno & Giorgio Valente, 2009. "Exchange Rates and Fundamentals: Footloose or Evolving Relationship?," Journal of the European Economic Association, MIT Press, vol. 7(4), pages 786-830, June.
    10. Kharrat, Sabrine & Hammami, Yacine & Fatnassi, Ibrahim, 2020. "On the cross-sectional relation between exchange rates and future fundamentals," Economic Modelling, Elsevier, vol. 89(C), pages 484-501.
    11. Feng, Wenjun & Zhang, Zhengjun, 2023. "Currency exchange rate predictability: The new power of Bitcoin prices," Journal of International Money and Finance, Elsevier, vol. 132(C).
    12. Katarzyna Kuziak & Joanna Górka, 2023. "Dependence Analysis for the Energy Sector Based on Energy ETFs," Energies, MDPI, vol. 16(3), pages 1-30, January.
    13. repec:eid:wpaper:01/11 is not listed on IDEAS
    14. Pasquale Della Corte & Lucio Sarno & Giulia Sestieri, 2012. "The Predictive Information Content of External Imbalances for Exchange Rate Returns: How Much Is It Worth?," The Review of Economics and Statistics, MIT Press, vol. 94(1), pages 100-115, February.
    15. Park, Cheolbeom & Park, Sookyung, 2013. "Exchange rate predictability and a monetary model with time-varying cointegration coefficients," Journal of International Money and Finance, Elsevier, vol. 37(C), pages 394-410.
    16. Jian Wang & Jason J. Wu, 2012. "The Taylor Rule and Forecast Intervals for Exchange Rates," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 44(1), pages 103-144, February.
    17. Feldmann, Horst, 2011. "The unemployment effect of exchange rate volatility in industrial countries," Economics Letters, Elsevier, vol. 111(3), pages 268-271, June.
    18. Marcelo Moura, 2010. "Testing the Taylor Model Predictability for Exchange Rates in Latin America," Open Economies Review, Springer, vol. 21(4), pages 547-564, September.
    19. Hsu, Po-Hsuan & Taylor, Mark P. & Wang, Zigan & Xu, Qi, 2022. "Currency volatility and global technological innovation," Journal of International Economics, Elsevier, vol. 137(C).
    20. Felício, Wilson Rafael de Oliveira & Rossi, José Luiz Júnior, 2013. "Common factors and the exchange rate: results from the Brazilian case," Insper Working Papers wpe_318, Insper Working Paper, Insper Instituto de Ensino e Pesquisa.
    21. Jian Wang & Jason J. Wu, 2012. "The Taylor Rule and Forecast Intervals for Exchange Rates," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 44(1), pages 103-144, February.

    More about this item

    JEL classification:

    • C10 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - General

    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:ctn:dpaper:2020-01. 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: Kevin Kotze (email available below). General contact details of provider: https://edirc.repec.org/data/seuctza.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.