Macroeconomic Development and Stock Market Performance: A Non-Parametric Approach
This paper applies a local-linear non-parametric kernel regression technique to examine the effect of macroeconomic factors on stock market performance in Ghana. We show that the popular parametric specification in the existing literature suffers from functional misspecification. The evidence suggests that the relationship is non-linear and hence the implied elasticities are non-constant, contrary to findings in the literature. The main finding of the study suggests that stock prices are significantly affected by macroeconomic fundamentals and oil price shocks albeit weakly. This reinforces the need to closely monitor behaviour of macroeconomic indicators while sustaining prudent macroeconomic policy management.
|Date of creation:||01 Jan 2013|
|Contact details of provider:|| Postal: Avenue Louise, 1050 Brussels|
Phone: +32 2271 9482
Fax: +32 2271 9480
Web page: http://www.eeri.eu/index.htm
More information through EDIRC
When requesting a correction, please mention this item's handle: RePEc:eei:rpaper:eeri_rp_2013_01. See general information about how to correct material in RePEc.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Julia van Hove)
If references are entirely missing, you can add them using this form.