University of Oulu

The predictive power of financial markets : essays on the relationship between the stock market and real economic activity

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Author: Kortela, Heli1
Organizations: 1University of Oulu, Faculty of Economics and Business Administration, Department of Economics
Format: ebook
Version: published version
Access: open
Online Access: PDF Full Text (PDF, 2 MB)
Persistent link: http://urn.fi/urn:isbn:9514283082
Language: English
Published: 2006
Publish Date: 2006-11-22
Thesis type: Doctoral Dissertation
Defence Note: Academic dissertation to be presented, with the assent of the Faculty of Economics and Business Administration of the University of Oulu, for public defence in Auditorium TA105, Linnanmaa, on December 2nd, 2006, at 12 noon
Reviewer: Professor Johan Knif
Professor Juuso Vataja
Description:

Abstract

This thesis investigates whether stock returns can help forecast macroeconomic activity. Future earnings and dividends and current stock prices should contain information about the future state of firms and the consumption possibilities of consumers. These activities are linked to aggregate economic development and, hence, the stock markets should improve economic forecasting.

We review the theoretical points that justify the importance of stock markets in economic forecasting. Recent literature on the stochastic discount factor in asset pricing and the real business cycle models has approached this connection. We try to show that the direction between financial markets and macroeconomy could be from stock markets to real economy.

We empirically test the forecasting ability of stock markets with respect to macroeconomy. The unexpected part of stock return can be revealed with economic tracking portfolios (ETP), which are constructed so that the unexpected portion of the portfolio return has the maximum correlation with revisions to expectations of the target variable. ETP's track how investors revise their expectations about relevant macroeconomic variables. The results show that specific stock portfolios track future changes in macroeconomic variables well.

In the previous literature, stock returns have been connected to the business cycle. This connection is analysed by explaining stock returns with total factor productivity (TFP) as a factor. TFP is measured by corporate innovation variable, i.e. the change in a firm's gross profit margin unexplained by changes in firm's capital and labour. The TFP variable performs quite nicely in explaining stock returns and it can be related to stock market momentum. Next, the aim is to investigate the forecasting power of stock returns together with the TFP factor. Even though in our results the TFP contains no information relevant for economic forecasting, the stock returns continue to perform well.

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Series: Acta Universitatis Ouluensis. G, Oeconomica
ISSN-E: 1796-2269
ISBN: 951-42-8308-2
ISBN Print: 951-42-8307-4
Issue: 25
Subjects:
Copyright information: © University of Oulu, 2006. This publication is copyrighted. You may download, display and print it for your own personal use. Commercial use is prohibited.