Economics at your fingertips  

Predicting volatility and correlations with Financial Conditions Indexes

Anne Opschoor, Dick van Dijk () and Michel van der Wel ()

Journal of Empirical Finance, 2014, vol. 29, issue C, 435-447

Abstract: We model the impact of financial conditions on asset market volatilities and correlations. We extend the Spline-GARCH model for volatility and DCC model for correlation to allow for inclusion of 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 correlations between stock returns, especially during crises. Moreover, inclusion of the FCI in volatility and correlation modeling improves Value-at-Risk estimates, particularly at short horizons.

Keywords: Dynamic correlations; Volatility modeling; Financial Conditions Indexes; Bank holding companies (search for similar items in EconPapers)
JEL-codes: G17 G23 E44 (search for similar items in EconPapers)
Date: 2014
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (9) Track citations by RSS feed

Downloads: (external link)
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link:

Access Statistics for this article

Journal of Empirical Finance is currently edited by R. T. Baillie, F. C. Palm, Th. J. Vermaelen and C. C. P. Wolff

More articles in Journal of Empirical Finance from Elsevier
Bibliographic data for series maintained by Dana Niculescu ().

Page updated 2019-08-20
Handle: RePEc:eee:empfin:v:29:y:2014:i:c:p:435-447