Picture of virus under microscope

Research under the microscope...

The Strathprints institutional repository is a digital archive of University of Strathclyde research outputs.

Strathprints serves world leading Open Access research by the University of Strathclyde, including research by the Strathclyde Institute of Pharmacy and Biomedical Sciences (SIPBS), where research centres such as the Industrial Biotechnology Innovation Centre (IBioIC), the Cancer Research UK Formulation Unit, SeaBioTech and the Centre for Biophotonics are based.

Explore SIPBS research

Determinants of bond spreads: evidence from credit derivatives of Australian firms

Faff, Robert and Darwin, T and Treepongkaruna, S (2012) Determinants of bond spreads: evidence from credit derivatives of Australian firms. Australian Journal of Management, 37 (1). pp. 29-46. ISSN 0312-8962

Full text not available in this repository. (Request a copy from the Strathclyde author)

Abstract

This paper investigates the determinants of credit spreads (levels and changes) via credit derivatives, using an Australian sample. We incorporate a number of different relationships to assess the contributions of various market-wide and firm-specific factors in determining levels, and changes in credit spreads, of corporate bonds. Using over-the-counter credit default swap (CDS) premium data as a proxy for the default risk of the entity, we find that both CDS and liquidity are priced into credit spreads, with liquidity explaining more credit spreads than credit risk (proxied using CDS premia) itself. We also find that a number of firm-specific and market-wide variables, namely, firm leverage, market-to-book ratio, market value, volatility, liquidity, the spot rate, the slope of the yield curve, the time to maturity of the underlying bond and the level and return on the All Ordinaries Index, are in many cases significant determinants of credit spreads. Finally, in additional robustness testing, a potential sample selection bias is accommodated via the Heckman (1979) Sample selection bias as a specification error.