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Analysis of Volatility of and Dependence between Exchange Rate and Inflation Rate in Lao People’s Democratic Republic Using Copula-Based GARCH Approach

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Modeling Dependence in Econometrics

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 251))

Abstract

This paper aims to conduct a study of the volatility and dependence between the exchange rate and inflation rate in Laos. The results of the study show that the ARMA (1, 1) - GARCH (1, 1) models were appropriate for two random variables. The KS and Box-Ljung tests for skewed-t distribution and autocorrelation performed in the study found that the two margins were skewed-t distribution and had no autocorrelation. The modeling of the best-fit copula from the testing process found that the time-varying t copula was the best of all static copulas and time-varying copulas in terms of the AIC and the BIC, which means that it has the highest explanatory power of all the dependence structures. In addition, we can see that the indicator of the correlation (dependence parameter: ) between the growth rates of the exchange rate and the inflation rate describes a high correlation in the long term, and also evinces that the dependence between the growth rates of the exchange rate and the inflation rate was positive, meaning that when the US Dollar appreciates, the inflation rate increases as well. Thus, this model as the time-varying t copula can help policy makers become more aware of what is likely to happen in the future.

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References

  1. Patton, A.J.: Modeling asymmetric exchange rate dependence. International Economics Review 47, 527–556 (2006)

    Article  MathSciNet  Google Scholar 

  2. Patton, A.J.: Estimation of multivariate models for time series of possibly different lengths. Journal of Applied Econometrics 21, 147–173 (2006b)

    Article  MathSciNet  Google Scholar 

  3. Tsui, A.K., Yu, Q.: Constant conditional correlation in a bivariate GARCH model, evidence from the stock markets of China. Mathematics and Computers in Simulation 48, 503–509 (1999)

    Article  Google Scholar 

  4. Charles, A.: Are Unit Root Tests Useful in the Debate over the (Non) Stationarity of Hours Worked? Research, University of Nantes (2011)

    Google Scholar 

  5. Arize, A.C., Malindretos, J., Nippani, S.: Variations in exchange rates and inflation in 82 countries: an empirical investigation. North American Journal of Economics and Finance 15, 227–247 (2004)

    Article  Google Scholar 

  6. Arnold, B.C., Groeneveld, R.A.: Measuring skewness with respect to the mode. The American Statistician 49, 34–38 (1995)

    MathSciNet  Google Scholar 

  7. Genest, C., Rivest, L.-P.: Statistical inference procedures for bivariate Archimedean copulas. Journal of the American Statistical Association 88(423), 1034–1043 (1993)

    Article  MathSciNet  MATH  Google Scholar 

  8. Garcia, C.J., Restrepo, J.E., Roger, S.: How much should inflation targeters care about the exchange rate. Journal of International Money and Finance 30, 1590–1617 (2011)

    Article  Google Scholar 

  9. Wu, C.-C., Chung, H., et al.: The economic value of co-movement betweenoil price and exchange rate using copula-based GARCH models. Energy Economics 34(1), 270–282 (2012)

    Article  Google Scholar 

  10. Genest, C., Quessy, J.-F., Rmillard, B.: Goodness-of-fit procedures for copula models based on the probability integral transformation. Scand. J. Statist. 33(2), 337–366 (2006)

    Article  MathSciNet  MATH  Google Scholar 

  11. Parsleya, D.C., Wei, S.-J.: Explaining the border effect: the role of exchange rate variability, shipping costs, and geography. Journal of International Economics 55, 87–105 (2001)

    Article  Google Scholar 

  12. Duarte, M., Stockman, A.C.: Comment on: Exchange rate pass-through, exchange rate volatility, and exchange rate disconnect. Journal of Monetary Economics 49(5), 941–946 (2002)

    Article  Google Scholar 

  13. Brechmann, E.C.: Truncated and simplified regular vines and their applications. Diploma thesis, Technische Universitaet Muenchen (2010)

    Google Scholar 

  14. Naz, F., Mohsin, A., Zaman, K.: Exchange rate pass-through in to inflation: New insights in to the cointegration relationship from Pakistan. Journal of Economic Modelling 29, 2205–2221 (2012)

    Article  Google Scholar 

  15. Manner, H., Reznikova, O.: A survey on time-varying copulas: Specification, simulations and application. Econometric Reviews 31(6), 654–687 (2012)

    Article  MathSciNet  Google Scholar 

  16. Liu, J., Sriboonchitta, S.: Analysis of Volatility and Dependence between the Tourist Arrivals from China to Thailand and Singapore: A Copula-based GARCH Approach (2012)

    Google Scholar 

  17. Carranza, L., Galdon-Sanchez, J.E., Gomez-Biscarri, J.: Exchange rate and inflation dynamics in dollarized economies. Journal of Development Economics 89, 98–108 (2009)

    Article  Google Scholar 

  18. Vogiatzoglou, M.: Dynamic copula toolbox (2010), http://www.downloadplex.Com/Scripts/Matlab/Development-Tools/dynamic-copula-toolboxscripts_388595.html

  19. Parsley, D., Wei, S.: Explaining the border effect: the role of exchange rate variability, shipping costs and geography. NBER Working Paper 7836 (2000)

    Google Scholar 

  20. Engle, R.F.: Dynamic conditional correlation: a simple class of multivariate GARCH models. Journal of Business and Economic Statistics 20(3), 339–350 (2002)

    Article  MathSciNet  Google Scholar 

  21. Flooda, R.P., Rose, A.K.: Fixing exchange rates: A Virtual Quest for Fundamentals. Research Department, International Monetary Fund, Washington DC 20431 (1997)

    Google Scholar 

  22. Rogoff, K.: Perspectives on exchange rate volatility. In: Feldstein, M. (ed.) International Capital Flows, pp. 441–453. University of Chicago Press, Chicago (2001)

    Google Scholar 

  23. Chung, S.-K.: Bivariate mixed normal GARCH models and out-of-sample hedge performances. Finance Research Letters 6, 130–137 (2009)

    Article  Google Scholar 

  24. Sriboonchitta, S.: Modeling Volatility and Dependency of Agricultural Price and Production Indices of Thailand: Static versus Time-Varying Copulas. Research of Faculty of Economics, Chiang Mai University (2013)

    Google Scholar 

  25. Verheggen, S.G.J.: Modeling stock return dependence between main American financial institutions during the financial crisis using a copula approach. Master thesis (2009)

    Google Scholar 

  26. Ling, S.: Self-weighted and local quasi-maximum likelihood estimators for ARMA-GARCH/IGARCH models. Journal of Econometrics 140, 849–873 (2007)

    Article  MathSciNet  MATH  Google Scholar 

  27. Morris, S.: Inflation dynamics and the parallel market for foreign exchange. Journal of Development Economics 46(1995), 295–316 (1990)

    Google Scholar 

  28. Fountas, S., Karanasos, M., Kim, J.: Inflation and output growth uncertainty and their relationship with inflation and output growth. Economics Letters 75, 293–301 (2002)

    Article  MATH  Google Scholar 

  29. Chuang, W.-I., Liu, H.-H., Susmel, R.: The bivariate GARCH approach to investigating the relation between stock returns, trading volume, and return volatility. Global Finance Journal 23, 1–15 (2012)

    Article  Google Scholar 

  30. Fang, W., Lai, Y., Miller, S.M.: Does exchange rate risk affect exports asymmetrically? Asian evidence. Journal of International Money and Finance 28, 215–239 (2009)

    Article  Google Scholar 

  31. Wang, W., Wells, M.T.: Model selection and semiparametric inference for bivariate failure-time data. Journal of the American Statistical Association 95(449), 62–72 (2000)

    Article  MathSciNet  MATH  Google Scholar 

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Authors and Affiliations

  1. Faculty of Economics, Chiang Mai University, Chiang Mai, 50200, Thailand

    Tongvang Xiongtoua & Songsak Sriboonchitta

Authors
  1. Tongvang Xiongtoua
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  2. Songsak Sriboonchitta
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Corresponding author

Correspondence to Tongvang Xiongtoua .

Editor information

Editors and Affiliations

  1. APAN Advanced Institute of Science and Technology, Ishikawa, Japan

    Van-Nam Huynh

  2. Department of Computer Science, University of Texas at El Paso, El Paso, Texas, USA

    Vladik Kreinovich

  3. Faculty of Economics, Chiangmai University, Chiangmai, Thailand

    Songsak Sriboonchitta

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Xiongtoua, T., Sriboonchitta, S. (2014). Analysis of Volatility of and Dependence between Exchange Rate and Inflation Rate in Lao People’s Democratic Republic Using Copula-Based GARCH Approach. In: Huynh, VN., Kreinovich, V., Sriboonchitta, S. (eds) Modeling Dependence in Econometrics. Advances in Intelligent Systems and Computing, vol 251. Springer, Cham. https://doi.org/10.1007/978-3-319-03395-2_13

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  • DOI: https://doi.org/10.1007/978-3-319-03395-2_13

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-03394-5

  • Online ISBN: 978-3-319-03395-2

  • eBook Packages: EngineeringEngineering (R0)

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