A frequency decomposition of approximation errors in stochastic discount factor models.
This article extends the work of Hansen and Jagannathan by showing how to decompose approximation errors in stochastic discount factor models by frequency. This decomposition is applied to a number of consumption-based discount factor models in order to investigate how well they fit at low frequenc...
| Publicado en: | International Economic Review Vol. 42; no. 2; pp. 473 - 504 |
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| Formato: | Artículo |
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Wiley-Blackwell
May 2001
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ssf&AN=513097516&site=ehost-live header: @attributes: shortDbName: ssf uiTerm: 513097516 longDbName: Social Sciences Full Text (H.W. Wilson) uiTag: AN controlInfo: bkinfo: jinfo: jid: 00206598 IER jtl: International Economic Review issn: 00206598 maglogo: N pubinfo: dt: May 2001 vid: 42 iid: 2 pid: 480 pub: Wiley-Blackwell artinfo: ui: 513097516 10.1111/1468-2354.00118 ppf: 473 ppct: 31 formats: tig: atl: A frequency decomposition of approximation errors in stochastic discount factor models. aug: au: Cogley, Timothy su: Approximation theory Decomposition method Stochastic processes Error analysis in mathematics Mathematical models of consumption sug: subj: Approximation theory Decomposition method Stochastic processes Error analysis in mathematics Mathematical models of consumption ab: This article extends the work of Hansen and Jagannathan by showing how to decompose approximation errors in stochastic discount factor models by frequency. This decomposition is applied to a number of consumption-based discount factor models in order to investigate how well they fit at low frequencies. There is some evidence of improved fit at low frequencies, but only in models with high degrees of risk aversion. In models with low degrees of risk aversion, approximation errors at low frequencies are just as severe as those at high frequencies. Reprinted by permission of the publisher. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: N holdings: @attributes: islocal: N |
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