The Stock Market and Unemployment: The Cross-Section Volatility Model

Ever since the evolvement of modern macroeconomics, theories without foundation in the Keynesian view, such as Real Business Cycle (RBC) theories, have aimed for recognition.The purpose of this paper is to examine whether the Cross-Section Volatility model (CSV), a RBC-model developed by Laclair Brainard and David Cutler (1993) based on US data, holds and demonstrates similar results applied on Swedish data. The CSV is constructed by weighting volatility for a number of industry-indices in the stock market. Brainard and Cutler (1993) find evidence that the CSV is an explanatory variable on US data for sectoral as well as aggregate unemployment. The results of this paper cannot disclaim the findings of Brainard and Cutler (1993) but rather suggest that the CSV-measure to a limited degree is an explanatory variable to unemployment on Swedish data as well.

Contents

1 INTRODUCTION
2 EARLIER RESEARCH
3 EMPIRICAL FRAMEWORK
4 DATA
5 RESULTS AND ANALYSIS
6 SUMMARY AND CONCLUSIONS
REFERENCES
APPENDIX

Author: Sundelius, Gustaf

Source: Uppsala University Library

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The Stock Market and Unemployment: The Cross-Section Volatility Model