IDEAS home Printed from https://ideas.repec.org/a/ptu/bdpart/b201011.html
   My bibliography  Save this article

Forecasting Inflation with Monetary Aggregates

Author

Listed:
  • João Valle e Azevedo

Abstract

No abstract is available for this item.

Suggested Citation

  • João Valle e Azevedo, 2010. "Forecasting Inflation with Monetary Aggregates," Economic Bulletin and Financial Stability Report Articles and Banco de Portugal Economic Studies, Banco de Portugal, Economics and Research Department.
    • Handle: RePEc:ptu:bdpart:b201011
    as

    Download full text from publisher

    File URL: https://www.bportugal.pt/sites/default/files/anexos/papers/ab201011_e.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Katrin Assenmacher-Wesche & Stefan Gerlach, 2007. "Money at Low Frequencies," Journal of the European Economic Association, MIT Press, vol. 5(2-3), pages 534-542, 04-05.
    2. Hofmann, Boris, 2009. "Do monetary indicators lead euro area inflation?," Journal of International Money and Finance, Elsevier, vol. 28(7), pages 1165-1181, November.
    3. Assenmacher-Wesche, Katrin & Gerlach, Stefan, 2008. "Interpreting euro area inflation at high and low frequencies," European Economic Review, Elsevier, vol. 52(6), pages 964-986, August.
    4. Assenmacher-Wesche, Katrin & Gerlach, Stefan, 2008. "Money growth, output gaps and inflation at low and high frequency: Spectral estimates for Switzerland," Journal of Economic Dynamics and Control, Elsevier, vol. 32(2), pages 411-435, February.
    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. Scharnagl, Michael & Mandler, Martin, 2015. "The relationship of simple sum and Divisia monetary aggregates with real GDP and inflation: a wavelet analysis for the US," VfS Annual Conference 2015 (Muenster): Economic Development - Theory and Policy 112879, Verein für Socialpolitik / German Economic Association.
    2. Shahid IQBAL & Maqbool H. SIAL, 2016. "Projections of Inflation Dynamics for Pakistan: GMDH Approach," Journal of Economics and Political Economy, KSP Journals, vol. 3(3), pages 536-559, September.

    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. Tiwari, Aviral Kumar, 2012. "An empirical investigation of causality between producers' price and consumers' price indices in Australia in frequency domain," Economic Modelling, Elsevier, vol. 29(5), pages 1571-1578.
    2. CLAUDIU TIBERIU ALBULESCU & Daniel Goyeau & AVIRAL KUMAR TIWARI, 2013. "Revisiting The Financial Volatility–Derivative Products Relationship On Euronext.Liffe Using A Frequency Domain Analysis," Brussels Economic Review, ULB -- Universite Libre de Bruxelles, vol. 56(3-4), pages 349-364.
    3. Assenmacher-Wesche, Katrin & Gerlach, Stefan & Sekine, Toshitaka, 2008. "Monetary factors and inflation in Japan," Journal of the Japanese and International Economies, Elsevier, vol. 22(3), pages 343-363, September.
    4. Bekiros, Stelios & Nguyen, Duc Khuong & Uddin, Gazi Salah & Sjö, Bo, 2016. "On the time scale behavior of equity-commodity links: Implications for portfolio management," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 41(C), pages 30-46.
    5. Ritabrata Bose & Ashima Goyal, 2020. "Disaggregated Indian industrial cycles: A Spectral analysis," Indira Gandhi Institute of Development Research, Mumbai Working Papers 2020-033, Indira Gandhi Institute of Development Research, Mumbai, India.
    6. Hofmann, Boris, 2009. "Do monetary indicators lead euro area inflation?," Journal of International Money and Finance, Elsevier, vol. 28(7), pages 1165-1181, November.
    7. Tiwari, Aviral Kumar & Oros, Cornel & Albulescu, Claudiu Tiberiu, 2014. "Revisiting the inflation–output gap relationship for France using a wavelet transform approach," Economic Modelling, Elsevier, vol. 37(C), pages 464-475.
    8. Breitung, Jörg & Schreiber, Sven, 2018. "Assessing causality and delay within a frequency band," Econometrics and Statistics, Elsevier, vol. 6(C), pages 57-73.
    9. Aviral Kumar Tiwari, 2012. "Tax Burden and GDP: Evidence from Frequency Doman Approach for the USA," Economics Bulletin, AccessEcon, vol. 32(1), pages 147-159.
    10. Arratibel, Olga & Leiner-Killinger, Nadine & Kamps, Christophe, 2009. "Inflation forecasting in the new EU Member States," Working Paper Series 1015, European Central Bank.
    11. Tiwari, Aviral Kumar & Jena, Sangram Keshari & Mitra, Amarnath & Yoon, Seong-Min, 2018. "Impact of oil price risk on sectoral equity markets: Implications on portfolio management," Energy Economics, Elsevier, vol. 72(C), pages 120-134.
    12. Claudiu Tiberiu Albulescu & Cornel Oros & Aviral Kumar Tiwari, 2017. "Oil price–inflation pass-through in Romania during the inflation targeting regime," Applied Economics, Taylor & Francis Journals, vol. 49(15), pages 1527-1542, March.
    13. Hassan Farazmand & Amin Mansouri & Morteza Afghah, 2014. "Choosing the best type of wavelet: Case study-business cycle in Iran," Asian Journal of Empirical Research, Asian Economic and Social Society, vol. 4(5), pages 293-314, May.
    14. João Valle e Azevedo, . "Previsão da inflação utilizando agregados monetáriosj," Economic Bulletin and Financial Stability Report Articles and Banco de Portugal Economic Studies, Banco de Portugal, Economics and Research Department.
    15. Fourçans, André & Vranceanu, Radu, 2008. "Money in the Inflation Equation: the Euro Area Evidence," ESSEC Working Papers DR 08012, ESSEC Research Center, ESSEC Business School.
    16. repec:ipg:wpaper:2014-441 is not listed on IDEAS
    17. Katrin Assenmacher-Wesche & Stefan Gerlach, 2007. "Money at Low Frequencies," Journal of the European Economic Association, MIT Press, vol. 5(2-3), pages 534-542, 04-05.
    18. Lee, Jim & Crowley, Patrick M., 2009. "Evaluating the stresses from ECB monetary policy in the euro area," Research Discussion Papers 11/2009, Bank of Finland.
    19. Beck, Günter W. & Wieland, Volker, 2006. "Money in monetary policy design under uncertainty: The two-pillar Phillips curve versus ECB-style cross-checking," CFS Working Paper Series 2007/17, Center for Financial Studies (CFS).
    20. António Rua, 2012. "Money Growth and Inflation in the Euro Area: A Time-Frequency View," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 74(6), pages 875-885, December.
    21. Helge Berger & Pär Österholm, 2011. "Does Money Growth Granger Cause Inflation in the Euro Area? Evidence from Out‐of‐Sample Forecasts Using Bayesian VARs," The Economic Record, The Economic Society of Australia, vol. 87(276), pages 45-60, March.

    More about this item

    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:ptu:bdpart:b201011. 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: DEE-NTD (email available below). General contact details of provider: https://edirc.repec.org/data/bdpgvpt.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.