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Farrukh

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  • Mahmood, Farrukh

Abstract

“What is data and what it means” can only be understood by using Visualisation. Visualization helps us to observe whether data is according to economic theory or not, and also hilight different issues within data as well. By employing visualization, we found only a few series upon which, we can really apply co-integration. Furthermore, co-integration equation of Wang and Lee (2009) found misspecified due to ARCH effect. After adjusting it, we found significantly different results for the co-integration (for same data set). This significant difference is not only in empirical models but also in implication as well. For example, in the case of the US, we found a complete pass through for the deposit rate model.

Suggested Citation

  • Mahmood, Farrukh, 2017. "Farrukh," MPRA Paper 79734, University Library of Munich, Germany.
    • Handle: RePEc:pra:mprapa:79734
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    References listed on IDEAS

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    1. Ding, Zhuanxin & Granger, Clive W. J. & Engle, Robert F., 1993. "A long memory property of stock market returns and a new model," Journal of Empirical Finance, Elsevier, vol. 1(1), pages 83-106, June.
    2. Toolsema, Linda A. & Sturm, Jan-Egbert & Haan, Jakob de, 2002. "Convergence of pass-through from money market to lending rates in EMU countries: new evidence," CCSO Working Papers 200206, University of Groningen, CCSO Centre for Economic Research.
    3. Ben S. Bernanke, 1990. "On the predictive power of interest rates and interest rate spreads," New England Economic Review, Federal Reserve Bank of Boston, issue Nov, pages 51-68.
    4. Bollerslev, Tim, 1986. "Generalized autoregressive conditional heteroskedasticity," Journal of Econometrics, Elsevier, vol. 31(3), pages 307-327, April.
    5. repec:dgr:rugccs:200206 is not listed on IDEAS
    6. Robert Engle & Clive Granger, 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.
    7. David Neumark & Steven A. Sharpe, 1992. "Market Structure and the Nature of Price Rigidity: Evidence from the Market for Consumer Deposits," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 107(2), pages 657-680.
    8. Don Bredin & Trevor Fitzpatrick & Gerard O Reilly, 2002. "Retail Interest Rate Pass-Through - The Irish Experience," The Economic and Social Review, Economic and Social Studies, vol. 33(2), pages 223-246.
    9. Alexakis, Panayotis & Apergis, Nicholas, 1996. "ARCH effects and cointegration: Is the foreign exchange market efficient?," Journal of Banking & Finance, Elsevier, vol. 20(4), pages 687-697, May.
    10. Ana-Maria Fuertes & Shelagh A. Heffernan, 2009. "Interest rate transmission in the UK: a comparative analysis across financial firms and products," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 14(1), pages 45-63.
    11. Wang, Kuan-Min & Lee, Yuan-Ming, 2009. "Market volatility and retail interest rate pass-through," Economic Modelling, Elsevier, vol. 26(6), pages 1270-1282, November.
    12. de Bondt, Gabe, 2002. "Retail bank interest rate pass-through: new evidence at the euro area level," Working Paper Series 136, European Central Bank.
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    JEL classification:

    • G2 - Financial Economics - - Financial Institutions and Services

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