Application of Kalman Filter on Modelling Interest Rates

Research output: Contribution to journalArticlepeer-review


This study aims to test the feasibility of using a data set of 90-day bank bill forward rates from the Australian market to predict spot interest rates. To achieve this goal I utilised the application of Kalman filter in a state space model with time-varying state variable. It is documented that in the case of short-term interest rates,the state space model yields robust predictive power. In addition, this predictive power of implied forward rate is heavily impacted by the existence of a time-varying risk premium in the term structure.
Original languageEnglish
Pages (from-to)1-15
Number of pages16
JournalJournal of Management Sciences
Issue number1
Publication statusPublished - 2014
Externally publishedYes


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  • New Zealand-ASEAN Scholar Award

    Vo, Long (Recipient), Nov 2011

    Prize: Postgraduate Scholarship

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