2013
DOI: 10.1016/j.jfineco.2013.04.009
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Pricing the term structure with linear regressions

Abstract: Standard-Nutzungsbedingungen:Die Dokumente auf EconStor dürfen zu eigenen wissenschaftlichen Zwecken und zum Privatgebrauch gespeichert und kopiert werden.Sie dürfen die Dokumente nicht für öffentliche oder kommerzielle Zwecke vervielfältigen, öffentlich ausstellen, öffentlich zugänglich machen, vertreiben oder anderweitig nutzen.Sofern die Verfasser die Dokumente unter Open-Content-Lizenzen (insbesondere CC-Lizenzen) zur Verfügung gestellt haben sollten, gelten abweichend von diesen Nutzungsbedingungen die in… Show more

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Cited by 525 publications
(484 citation statements)
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“…34 Pricing errors of estimated term structure models are often serially correlated, as documented for example by Adrian et al (2013) and Hamilton and Wu (2014). However, using serially-correlated errors in our simulations did not change our results.…”
Section: Simulating Data From Empirical Mtsmsmentioning
confidence: 68%
“…34 Pricing errors of estimated term structure models are often serially correlated, as documented for example by Adrian et al (2013) and Hamilton and Wu (2014). However, using serially-correlated errors in our simulations did not change our results.…”
Section: Simulating Data From Empirical Mtsmsmentioning
confidence: 68%
“…The observable variables are the inflation factors Π t and linear combinations of the nominal bond yields. Our preferred approach is to include the first four principal components extracted from the panel of yields (e.g., Adrian and Moench (2010), Duffee (2011b), Hamilton andWu (2011), Joslin, Singleton, andZhu (2011)). As a robustness check, we also estimate the model directly on the cross section of the yields.…”
Section: Data and Estimationmentioning
confidence: 99%
“…Second, we explore model estimation on different data sets of yields (CRSP zero-coupon rates with maturity up to five years vs. constantmaturity Treasury yields with maturity up to 20 years) and inflation (CPI vs. personal consumption expenditures, or PCE, data). Third, we perform estimation directly on the yields, or on their principal components (as in, e.g., Adrian and Moench (2010), Hamilton andWu (2011), andZhu (2011)). Fourth, we explore estimation over different sample periods (a long sample going back to 1962Q1 vs. the post-1984 period).…”
mentioning
confidence: 99%
“…One of the factors that renders this task complicated in emerging markets is the prevalence of several monetary policy instruments catering to multiple policy objectives (prominent examples being China, India and Latin America), 1 which makes it difficult to identify one single instrument as representative of policy stance. The objective of the present paper is to develop a method of overcoming this problem by using India as a case study.…”
Section: Introductionmentioning
confidence: 99%