•  
  •  
 

CBN Journal of Applied Statistics (JAS)

Keywords

Leading indicators; stock index, Granger causality, cointegration, vector error correction models, forecasting GDP, Nigeria

Abstract

In an effort to address the lacuna in leading indicator studies of African economies and Nigeria in particular, this paper examines the causal relationships among stock market prices, real GDP and the index of industrial production in Nigeria, using quarterly data from 1984Q1 to 2008Q4. Granger causality tests indicate bidirectional causality between stock prices and GDP but no causality between stock prices and industrial production or between GDP and industrial production. Stock prices and GDP are found to be cointegrated, leading to the estimation of vector error correction models. Out-of-sample forecasts constructed with AR(1), ARIMA, structural ARIMA, and VEC models indicate that stock prices contain information that can be used to improve the accuracy of GDP forecasts and enhance the conduct of macroeconomic policy in Nigeria.

Author Bio

The author is a Deputy Director & Head, Financial Policy Division, Monetary Policy Department, Central Bank of Nigeria

Publication Title

Journal of Applied Statistics

Issue

1

Volume

1

Download
COinS
 
 

To view the content in your browser, please download Adobe Reader or, alternately,
you may Download the file to your hard drive.

NOTE: The latest versions of Adobe Reader do not support viewing PDF files within Firefox on Mac OS and if you are using a modern (Intel) Mac, there is no official plugin for viewing PDF files within the browser window.