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Modelling And Predicting The Real Money Demand In Romania

Listed author(s):
  • PELINESCU, Elena

    (Institute for Economic Forecasting, Romanian Academy)

  • SIMIONESCU, Mihaela

    (Institute for Economic Forecasting, Romanian Academy)

The main aim of this article is to model the quarterly real money demand in Romania and to make short-run forecasts for 2014:Q1-2015:Q1. A vector-autoregressive model (VAR(1)) was built for stationary data series of real money demand, real GDP and spread between active and pasive interest rate of the credit institutions over the period from 2000:Q1 to 2013:Q4. In the first period the variations in the double differentiated real money demand are exclusivly generated by the changes in this variable. The short-term forecasts based on this model indicated a slow variation in the rate of real money demand. For the first quarter of 2014 the comparison of the forecast with the actual value is made and an error of 0.94 percentage point was obtained. Starting with the second quarter of 2014, a slow decrease is anticpated for the rate of real money demand.

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File URL: ftp://www.ipe.ro/RePEc/vls/vls_pdf_jfme/vol1i1p117-124.pdf
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Article provided by Centre of Financial and Monetary Research "Victor Slavescu" in its journal Journal of Financial and Monetary Economics.

Volume (Year): 1 (2014)
Issue (Month): 1 ()
Pages: 117-124

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Handle: RePEc:vls:rojfme:v:1:y:2014:i:1:p:117-124
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  1. Pelinescu, Elena, 2012. "Transmission Mechanism of Monetary Policy in Romania. Insights into the Economic Crisis," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(3), pages 5-21, September.
  2. Jawadi, Fredj & Sousa, Ricardo M., 2013. "Money demand in the euro area, the US and the UK: Assessing the role of nonlinearity," Economic Modelling, Elsevier, vol. 32(C), pages 507-515.
  3. Beyer, Andreas, 2009. "A Stable Model for Euro Area Money Demand: Revisiting the Role of Wealth," Working Paper Series 1111, European Central Bank.
  4. Ragot, Xavier, 2014. "The case for a financial approach to money demand," Journal of Monetary Economics, Elsevier, vol. 62(C), pages 94-107.
  5. Scutaru, Cornelia & Pelinescu, Elena, 2001. "A Dynamic Model Of The Money Demand In Romania," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(1), pages 32-47, June.
  6. Defne Mutluer & Yasemin Barlas, 2002. "Modeling the Turkish Broad Money Demand," Central Bank Review, Research and Monetary Policy Department, Central Bank of the Republic of Turkey, vol. 2(2), pages 55-75.
  7. Mohsen Bahmani-Oskooee & Ali M. Kutan & Dan Xi, 2013. "The impact of economic and monetary uncertainty on the demand for money in emerging economies," Applied Economics, Taylor & Francis Journals, vol. 45(23), pages 3278-3287, August.
  8. Ralph Setzer & Guntram Wolff, 2013. "Money demand in the euro area: new insights from disaggregated data," International Economics and Economic Policy, Springer, vol. 10(2), pages 297-315, June.
  9. William T. Gavin, 2005. "M2 and 'reigniting inflation'," Monetary Trends, Federal Reserve Bank of St. Louis, issue Jun.
  10. Dreger, Christian & Wolters, Jürgen, 2015. "Unconventional monetary policy and money demand," Journal of Macroeconomics, Elsevier, vol. 46(C), pages 40-54.
  11. Dreger, Christian & Wolters, Jürgen, 2014. "Money demand and the role of monetary indicators in forecasting euro area inflation," International Journal of Forecasting, Elsevier, vol. 30(2), pages 303-312.
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