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2011 | 3 | nr 4 | 221--237
Tytuł artykułu

The Behaviour of Exchange Rates in the Central European Countries and Credit Default Risk Premiums

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We test whether the floating exchange rates of the EU New Member States against the euro are determined jointly within the panel VEC framework. We find that the exchange rates of the Czech koruna, the Polish zloty and the Hungarian forint follow the same long-run relationship, in which the real exchange rates are explained by the real interest rates parities and the spreads of the credit default risk premiums. In case of the Romanian leu, the common relationship is rejected, which is likely due to differences in the economic setting. The results confirm that the currency markets of these three countries are closely related, since the appreciation/depreciation of one currency leads to similar movements in the other currencies of the NMS. The estimated misalignments exhibit some common patterns in terms of time spans and percentage values of under/overvaluation. (original abstract)
Opis fizyczny
  • University of Lodz, Poland
  • [1] Aixala J., Fabro G., (2009), Economic freedom, civil liberties, political rights and growth: a causality analysis, Spanish Economic Review 11, 165-178.
  • [2] Adler M, Song J., (2010), The bahaviour of emerging markets sovereigns' credit default swaps premiums and bond yield spreads, International Journal of Finance and Economics 15, 31-58.
  • [3] Banerjee A., Marcellino M., Osbat C., (2004), Some cautions of the use of panel methods for integrated series of macroeconomic data, Econometrics Journal 7, 322-340.
  • [4] Banerjee A., Marcellino M., Osbat C., (2005), Testing for PPP: Should we use panel methods?, Empirical Economics 30, 77-91.
  • [5] Blancheton B., Bordes C., Maveyraud S., Rous P., (2012), Risk of liquidity and contagion of the crisis no the United States, United Kingdom and euro zone money markets, International Journal of Finance and Economics 17, 124-146.
  • [6] Duffie D., (1999), Credit swap valuation, Financial Analysts Journal 55, 73-87.
  • [7] Duffie D., Garleanu N., (2001), Risk and Valuation of Collateralized Debt Obligations, Financial Analysts Journal 57, 41-59.
  • [8] Egert B., Lahreche-Revil A., (2003), Estimating the Fundamental Equilibrium Exchange Rate of Central and Eastern European Countries The EMU Enlargement Perspective, CEPII research center Working Papers 2003-05.
  • [9] Frait J., Komarek L., Melecký M., (2006), The real exchange rate misalignments in the five central european countries, Warwick Economic Research Papers 739.
  • [10] Groen J.J.J., Kleibergen F., (2003), Likelihood-based cointegration analysis in panels of vector error correction models, Journal of Business & Economic Statistics 21, 295-318.
  • [11] Hadri K., (2000), Testing for stationarity in heterogeneous panel data, Econometrics Journal 3, 148-161.
  • [12] Im K.S., Pesaran M.H., Shin Y., (2003), Testing for unit roots in heterogeneous panels, Journal of Econometrics 115, 53-74.
  • [13] Jacobson T., Lyhagen J., Larsson R., Nessén M., (2002), Inflation, exchange rates and PPP in a multivariate panel cointegration model, Sveriges Riksbank Working Paper Series 145.
  • [14] Juselius K., MacDonald R., (2003), International parity relationships between Germany and the United States: a joint modeling approach, available at:
  • [15] Juselius K., MacDonald R., (2004), International parity relationships between the USA and Japan, Japan and the World Economy 16, 17-34.
  • [16] Kelm R., (2010), The Exchange Rate and Two Price Inflations in Poland in the Period 1999-2009. Do Globalization and Balassa-Samuelson Effect Matter?, Central European Journal of Economic Modelling and Econometrics 2, 315-349.
  • [17] Kelm R., (2011), The Polish zloty/euro exchange rate under free float: an econometric investigation, available at:
  • [18] Kębłowski P., (2009) Modelling Integrated Panel Data: An Overview, [in:] Welfe W., Lang P. (eds.) Knowledge Based Economies, Frankfurt am Main.
  • [19] Kębłowski P., Welfe A., (2010), Estimation of the equilibrium exchange rate: the CHEER approach, Journal of International Money and Finance 29, 1385-1397.
  • [20] Kębłowski P., Welfe A., (2012), A risk-driven approach to exchange-rate modelling, Economic Modelling 29, 1473-1482.
  • [21] Larsson R., Lyhagen J., (2007), Inference in Panel Cointegration Models with long panels, Journal of Business and Economic Statistics 25, 473-483.
  • [22] Larsson R., Lyhagen J., Löthgren M., (2001), Likelihood-based cointegration tests in heterogeneous panels, Econometrics Journal 4, 109-142.
  • [23] MacDonald R., (2000), Concepts to calculate equilibrium exchange rates: an overview. Deutsche Bundesbank Discussion Paper 3, Frankfurt o/M.
  • [24] Majsterek M., Welfe A., (2012), Price-wage nexus and the role of a tax system, Economic Change and Restructuring 45, 121-133.
  • [25] Magyari I., (2008), Exploring the correlation between the exchange rate misalignment and economic growth in the CEE countries, Advances in Economic and Financial Reseach - DOFIN Working Paper Series 16.
  • [26] Rahn J., (2003), Bilateral equilibrium exchange rates of EU accession countries against the euro, BOFIT Discussion Papers 11.
  • [27] Remolona E.M., Scatigna M., Wu E., (2008), A ratings-based approach to measuring sovereign risk, International Journal of Finance and Economics 13, 26-39.
  • [28] Rubaszek M., Rawdanowicz Ł., (2009), Economic convergence and the fundamental exchange rate in Central and Eastern Europe, International Review of Financial Analysis 18, 277-284.
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