Linkages between asset classes during the financial crisis, accounting for market microstructure noise and non-synchronous trading

Nathaniel Frank

No 2009-W04, Economics Papers from Economics Group, Nuffield College, University of Oxford

Abstract: In this paper we analyse market co-movements during the global financial crisis. Using high frequency data and accounting for market microstructure noise and non-synchronous trading, interdependencies between differing as-set classes such as equity, FX, fixed income, commodity and energy securities are quantified. To this end multivariate realised kernels and GARCH models are employed. We find that during the current period of market dislocations and times of increased risk aversion, assets have become more correlated when applying these intra-day measures. FX pairs seemingly lead the other variables, but commodities remain entirely unaffected.

Keywords: Financial crisis; high frequency data; kernel based estimation (search for similar items in EconPapers)
JEL-codes: C32 E44 G01 (search for similar items in EconPapers)
Pages: 52 pages
Date: 2009-03-01
New Economics Papers: this item is included in nep-acc and nep-mst
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (5)

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Persistent link: https://EconPapers.repec.org/RePEc:nuf:econwp:0904

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