Dynamic term structure models: the best way to enforce the zero lower bound in the United States
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Cited by:
- Lemke, Wolfgang & Vladu, Andreea L., 2016.
"Below the zero lower bound: A shadow-rate term structure model for the euro area,"
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32/2016, Deutsche Bundesbank.
- Lemke, Wolfgang & Vladu, Andreea Liliana, 2017. "Below the zero lower bound: a shadow-rate term structure model for the euro area," Working Paper Series 1991, European Central Bank.
- Malik, Sheheryar & Meldrum, Andrew, 2016.
"Evaluating the robustness of UK term structure decompositions using linear regression methods,"
Journal of Banking & Finance, Elsevier, vol. 67(C), pages 85-102.
- Malik, Sheheryar & Meldrum, Andrew, 2014. "Evaluating the robustness of UK term structure decompositions using linear regression methods," Bank of England working papers 518, Bank of England.
- Chung, Tsz-Kin & Hui, Cho-Hoi & Li, Ka-Fai, 2017. "Term-structure modelling at the zero lower bound: Implications for estimating the forward term premium," Finance Research Letters, Elsevier, vol. 21(C), pages 100-106.
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More about this item
Keywords
Bias-adjustment; forecasting study; quadratic term styructure models; sequential regression approach; shadow rate models;All these keywords.
JEL classification:
- C10 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - General
- C50 - Mathematical and Quantitative Methods - - Econometric Modeling - - - General
- G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates
NEP fields
This paper has been announced in the following NEP Reports:- NEP-FMK-2015-10-17 (Financial Markets)
- NEP-FOR-2015-10-17 (Forecasting)
- NEP-MON-2015-10-17 (Monetary Economics)
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