Arbeitspapier

Prediction Bias Correction for Dynamic Term Structure Models

When the yield curve is modelled using an affine factor model, residuals may still contain relevant information and do not adhere to the familiar white noise assumption.This paper proposes a pragmatic way to improve out of sample performance for yield curve forecasting. The proposed adjustment is illustrated via a pseudo out-of-sample forecasting exercise implementing the widely used Dynamic Nelson Siegel model. Large improvement in forecasting performance is achieved throughout the curve for different forecasting horizons. Results are robust to different time periods, as well as to different model specifications.

Language
Englisch

Bibliographic citation
Series: Tinbergen Institute Discussion Paper ; No. 13-041/III

Classification
Wirtschaft
Interest Rates: Determination, Term Structure, and Effects
Money and Interest Rates: Forecasting and Simulation: Models and Applications
Financial Forecasting and Simulation
Subject
Yield curve
Nelson Siegel
Time varying loadings
Factor models
Staatspapier
Zinsstruktur
Kapitaleinkommen
Prognose
Theorie
USA

Event
Geistige Schöpfung
(who)
Raviv, Eran
Event
Veröffentlichung
(who)
Tinbergen Institute
(where)
Amsterdam and Rotterdam
(when)
2013

Handle
Last update
10.03.2025, 11:41 AM CET

Data provider

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Object type

  • Arbeitspapier

Associated

  • Raviv, Eran
  • Tinbergen Institute

Time of origin

  • 2013

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