Designing an Efficient Reference Rate: Lessons from SOFIA

James Brugler, Calebe de Roure, Marta Khomyn, Max Prakoso and Talis Putniņš
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James Brugler: Department of Finance, The University of Melbourne
Calebe de Roure: Reserve Bank of Australia
Marta Khomyn: University of Adelaide
Max Prakoso: Reserve Bank of Australia
Talis Putniņš: University of Technology Sydney

RBA Research Discussion Papers from Reserve Bank of Australia

Abstract: We evaluate the informational efficiency of the Secured Overnight Funding Index Australia (SOFIA™), currently in its beta phase, and how design choices may impact the benchmark rate. We use a state-space model to separate time-varying noise in the benchmark from the underlying efficient rate and investigate the determinants of noise in the daily time series and at the transaction level. Related-party transactions, high market concentration, and low transaction volumes are associated with higher noise. Our modelling suggests that considering alternative methods for trimming the transactions used in calculating the benchmark, compared to the initially proposed approach, may enhance its informational efficiency and robustness. These results provide evidence on how to optimise the benchmark's design. Indeed, the Australian Securities Exchange has already adjusted its SOFIA methodology to reflect most of these findings, in preparation for the potential transition of SOFIA from its beta phase to a live benchmark.

Keywords: SOFIA; interest rate benchmarks; market microstructure; reference rate (search for similar items in EconPapers)
JEL-codes: G11 G12 G14 (search for similar items in EconPapers)
Date: 2026-06
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Persistent link: https://EconPapers.repec.org/RePEc:rba:rbardp:rdp2026-03

DOI: 10.47688/rdp2026-03

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