IDEAS home Printed from https://ideas.repec.org/p/pre/wpaper/201485.html
   My bibliography  Save this paper

Oil Price Uncertainty and Savings in South Africa

Author

Listed:
  • Diksha Dave

    (Department of Economics, University of Pretoria)

  • Goodness C. Aye

    (Department of Economics, University of Pretoria)

Abstract

Oil prices have become increasingly important to determine indicators such as inflation; this in turn affects savings and investments. This paper investigates the impact of the volatility of oil prices on savings in South Africa using quarterly data covering the period 1960 to 2014. The study used the GARCH-in-mean VAR model. This model also provides a way of examining the effect of a negative and positive shock in oil prices on savings. The outcome of this study proves that oil price uncertainty which is measured as the conditional standard deviation of a one-step-ahead forecast error of the change in oil price affects South Africa’s savings in a negative way. The responses of savings to a positive and negative oil price shocks is symmetric in both direction and magnitude.

Suggested Citation

  • Diksha Dave & Goodness C. Aye, 2014. "Oil Price Uncertainty and Savings in South Africa," Working Papers 201485, University of Pretoria, Department of Economics.
    • Handle: RePEc:pre:wpaper:201485
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a search for a similarly titled item that would be available.

    More about this item

    Keywords

    Oil price uncertainty; savings; Asymmetry; GARCH-in-mean VAR;
    All these keywords.

    JEL classification:

    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
    • E21 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Consumption; Saving; Wealth
    • Q41 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Demand and Supply; Prices

    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:pre:wpaper:201485. 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: Rangan Gupta (email available below). General contact details of provider: https://edirc.repec.org/data/decupza.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.