Jumps and Betas: A New Framework for Disentangling and Estimating Systematic Risks

Viktor Todorov and Tim Bollerslev

CREATES Research Papers from Department of Economics and Business Economics, Aarhus University

Abstract: We provide a new theoretical framework for disentangling and estimating sensitivity towards systematic diffusive and jump risks in the context of factor pricing models. Our estimates of the sensitivities towards systematic risks, or betas, are based on the notion of increasingly finer sampled returns over fixed time intervals. In addition to establish- ing consistency of our estimators, we also derive Central Limit Theorems characterizing their asymptotic distributions. In an empirical application of the new procedures using high-frequency data for forty individual stocks and an aggregate market portfolio, we find the estimated diffusive and jump betas with respect to the market to be quite dif- ferent for many of the stocks. Our findings have direct and important implications for empirical asset pricing finance and practical portfolio and risk management decisions.

Keywords: Factor models; systematic risk; common jumps; high-frequency data; realized variation (search for similar items in EconPapers)
JEL-codes: C13 C14 G10 G12 (search for similar items in EconPapers)
Pages: 35
Date: 2007-08-16
New Economics Papers: this item is included in nep-cfn, nep-ecm, nep-ets, nep-fmk and nep-mst
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Citations: View citations in EconPapers (4)

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Journal Article: Jumps and betas: A new framework for disentangling and estimating systematic risks (2010)
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Persistent link: https://EconPapers.repec.org/RePEc:aah:create:2007-15

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