Demonstrates enhanced portfolio diversification in global bonds, indicating better risk management through network structures.
This article proposes an implementable framework for global bond portfolio construction that integrates yield curve modeling, network-based currency allocation, and network-based bond selection within a unified portfolio construction process. Portfolio decisions are separated into currency allocation and security selection, with yield-curve-implied expectations of bond and currency returns serving as common inputs across both stages. Currency allocation is conducted through a network of local currency markets designed to capture cross-market interactions and macro-financial risk exposures, while bond selection is performed using a complementary network of individual securities defined by duration, spread, roll-down, momentum, and liquidity characteristics. Local currency yield curves provide a consistent term-structure foundation for both expected return estimation and risk modeling. The results show that network-based risk representations provide a richer characterization of currency and bond interdependencies than traditional covariance-based approaches do and lead to more structurally diversified portfolios. From an implementation perspective, the framework provides a systematic process for integrating currency allocation, bond selection, and factor exposure control within a single portfolio construction methodology. By integrating network structure into both allocation and optimization decisions, the framework provides a transparent and flexible alternative to traditional global fixed-income portfolio construction methods. The proposed approach illustrates how network representations can complement traditional factor and risk models in global fixed-income portfolio management.
No takes yet. Share an insight, caveat, or question.
Konstantinov et al. (2026) studied this question.
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context: