PT  - JOURNAL ARTICLE
AU  - Jérôme Gava
AU  - William Lefebvre
AU  - Julien Turc
TI  - Beyond Carry and Momentum in Government Bonds
AID  - 10.3905/jfi.2020.1.085
DP  - 2020 Jan 24
TA  - The Journal of Fixed Income
PG  - jfi.2020.1.085
4099  - https://pm-research.com/content/early/2020/01/24/jfi.2020.1.085.short
4100  - https://pm-research.com/content/early/2020/01/24/jfi.2020.1.085.full
AB  - This article revisits recent literature on factor investing in government bonds, in particular regarding the definition of value and defensive investing. Using techniques derived from machine learning, the authors identify the key drivers of government bond futures and the groups of factors that are most genuinely relevant. Beyond carry and momentum, they propose an approach to defensive investing that considers the safe-haven nature of government bonds. These two main styles may be complemented by value and a reversal factor in order to achieve returns independently from broad movements in interest rates.TOPICS: Analysis of individual factors/risk premia, factor-based models, style investing, fixed income and structured finance, big data/machine learningKey Findings• This article revisits recent literature on factor investing in government bonds, in particular regarding the definition of value and defensive investing.• Using techniques derived from machine learning, the authors identify the key drivers of government bond futures and the groups of factors that are most genuinely relevant.• Beyond carry and momentum, they propose an approach to defensive investing that considers the safe-haven nature of government bonds.