Nothing Special   »   [go: up one dir, main page]
IDEAS home Printed from https://ideas.repec.org/p/anp/en2005/036.html
   My bibliography  Save this paper

Fluxos De Capitais E Componentes Macroecômicos: Análise De Inter-Relações Através Da Aplicação De Um Modelo De Vetores Auto-Regressivos (Var)

Author

Listed:
  • Alessandro Maia Pinheiro
  • Mário Miguel Amin
Abstract
The present work aims to investigate the dynamic interactions between capital flows, public debt, country risk, interest rate differential and stock of foreign exchange in Brazil in the period 1995-2004. The vector autoregressive model (VAR) and the vector error correction model (VEC) constituted the empirical framework used. Its tools (impulse response functions and variance decomposition) allowed observing in general terms that Brazilian policy makers face strong difficulties when the objective is to stimulate the economic growth. This occurs especially because the interest rate differential represents a key-component manipulated to avoid the liquid capital flows decreasing and to keep the stability of prices.

Suggested Citation

  • Alessandro Maia Pinheiro & Mário Miguel Amin, 2005. "Fluxos De Capitais E Componentes Macroecômicos: Análise De Inter-Relações Através Da Aplicação De Um Modelo De Vetores Auto-Regressivos (Var)," Anais do XXXIII Encontro Nacional de Economia [Proceedings of the 33rd Brazilian Economics Meeting] 036, ANPEC - Associação Nacional dos Centros de Pós-Graduação em Economia [Brazilian Association of Graduate Programs in Economics].
    • Handle: RePEc:anp:en2005:036
    as

    Download full text from publisher

    File URL: http://www.anpec.org.br/encontro2005/artigos/A05A036.pdf
    Download Restriction: no
    ---><---

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Fuinhas, José Alberto & Marques, António Cardoso & Nogueira, David Coito, 2014. "Análise VAR dos índices bolsistas SP500, FTSE100, PSI20, HSI e IBOVESPA [Integration of the indexes SP500, FTSE100, PSI20, HSI and IBOVESPA: A VAR approach]," MPRA Paper 62092, University Library of Munich, Germany, revised 10 Feb 2015.

    More about this item

    JEL classification:

    • F32 - International Economics - - International Finance - - - Current Account Adjustment; Short-term Capital Movements
    • F37 - International Economics - - International Finance - - - International Finance Forecasting and Simulation: Models and Applications
    • G15 - Financial Economics - - General Financial Markets - - - International Financial Markets

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:anp:en2005:036. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: Rodrigo Zadra Armond (email available below). General contact details of provider: https://edirc.repec.org/data/anpecea.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.