Equity Fund Ownership and the Cross-Regional Diversification of Household Risk

Citation

Becker S & Hoffmann M (2008) Equity Fund Ownership and the Cross-Regional Diversification of Household Risk. Stirling Economics Discussion Paper, 2008-25.

Abstract
We explore the link between portfolio home bias and consumption risk sharing among Italian regions using aggregated household level information on consumption, income and portfolio holdings. We propose to use data on equity fund ownership to proxy for regional home bias: equity funds are typically diversified at the national or international level and will therefore provide interregional diversifiation. In assessing the impact of equity fund ownership on interregional risk sharing we distinguish between two dimensions: variation in the share of equity funds in fund-holder's wealth (the intensive margin) and variation in the fraction of households that hold funds (the extensive margin). We find that equity fund ownership is an important determinant of interregional risk sharing. First, diversification incentives qualitatively line up with actually observed portfolio choices: fund holders in regions where households are particularly exposed to region-specific labor income risk hold a larger fraction of their wealth in (out-of-region) funds. Secondly, for a region as a whole, risk sharing increases in both the intensive and the extensive margins of diversification and the two margins reinforce each other. The marginal effect of wider equity fund participation seems particularly strong, suggesting that policies aimed at increasing equity market participation could help foster better interregional risk sharing.

Keywords
consumption risk sharing; regional home bias; Survey of Household Income and Wealth; labor income risk; portfolio choice; stock market participation

JEL codes

• F36: Financial Aspects of Economic Integration
• F37: International Finance Forecasting and Simulation: Models and Applications
• G10: General Financial Markets: General (includes Measurement and Data)