Arbeitspapier

Predicting Covariance Matrices with Financial Conditions Indexes

We model the impact of financial conditions on asset market volatility and correlation. We propose extensions of (factor-)GARCH models for volatility and DCC models for correlation that allow for including indexes that measure financial conditions. In our empirical application we consider daily stock returns of US deposit banks during the period 1994-2011, and proxy financial conditions by the Bloomberg Financial Conditions Index (FCI) which comprises the money, bond, and equity markets. We find that worse financial conditions are associated with both higher volatility and higher average correlations between stock returns. Especially during crises the additional impact of the FCI indicator is considerable, with an increase in correlations by 0.15. Moreover, including the FCI in volatility and correlation modeling improves Value-at-Risk forecasts, particularly at short horizons.

Sprache
Englisch

Erschienen in
Series: Tinbergen Institute Discussion Paper ; No. 13-113/III

Klassifikation
Wirtschaft
Financial Forecasting and Simulation
Pension Funds; Non-bank Financial Institutions; Financial Instruments; Institutional Investors
Financial Markets and the Macroeconomy
Thema
Dynamic correlations
Volatility modeling
Financial Conditions Indexes
Bank holding companies

Ereignis
Geistige Schöpfung
(wer)
Opschoor, Anne
van Dijk, Dick
van der Wel, Michel
Ereignis
Veröffentlichung
(wer)
Tinbergen Institute
(wo)
Amsterdam and Rotterdam
(wann)
2013

Handle
Letzte Aktualisierung
10.03.2025, 11:42 MEZ

Datenpartner

Dieses Objekt wird bereitgestellt von:
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.

Objekttyp

  • Arbeitspapier

Beteiligte

  • Opschoor, Anne
  • van Dijk, Dick
  • van der Wel, Michel
  • Tinbergen Institute

Entstanden

  • 2013

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