Tail risks in household finance

Omid M. Ardakani, Rawan Ajina

Research output: Contribution to journalArticlepeer-review

Abstract

We introduce a measure to quantify shared information within household financial portfolios under extreme events. We employ mutual information and copula entropy to capture tail dependencies among investment assets. We then study the impact of socio-economic factors on proactive financial behaviors using data from the 2022 Survey of Consumer Finances and highlight the necessity for tail-informed diversification strategies. Our findings underscore the importance of accounting for nonlinear dependencies to safeguard against unanticipated risks in extreme market scenarios.

Original languageEnglish
Article number106065
JournalFinance Research Letters
Volume69
DOIs
StatePublished - Nov 2024

Keywords

  • Copula models
  • Extreme value theory
  • Financial dependencies
  • Household finance
  • Information theory
  • Tail risk

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