---
title: Wars, Threats, and the Sovereign Bond Market
url: https://www.ml-quant.com/papers/repec/diw-diwwpp-dp2186/
site: ML-Quant (https://www.ml-quant.com)
updated: 2026-11-06
license: Summaries CC BY 4.0; links go to the original sources
index: https://www.ml-quant.com/llms.txt
identifier: RePEc:diw:diwwpp:dp2186
source_url: https://econpapers.repec.org/RePEc:diw:diwwpp:dp2186
featured: 2026-11-06
citations: unknown
topic: Risk, Credit & Banking
---


# Wars, Threats, and the Sovereign Bond Market

Analysis of 300,000 monthly bond prices since 1822 shows wars lower external bond returns by five percentage points and raise default risk, while military threats depress threatened states' borrowing costs.

- Source: https://econpapers.repec.org/RePEc:diw:diwwpp:dp2186
- Identifier: RePEc:diw:diwwpp:dp2186
- Released: 2026-11-02
- First featured: Quant Letter No. 138 (2026-11-06): https://www.ml-quant.com/issues/2026-11-06/
- Citations (Semantic Scholar): not tracked
- Published in: not yet
- Topic: Risk, Credit & Banking
- Authors: Jonathan Federle, Robin Greenwood, Josefin Meyer, Carmen Reinhart, Christoph Trebesch

## Related

- [Attention-based Dynamic Multilayer Graph Neural Networks for Loan Default Prediction](https://www.ml-quant.com/papers/arxiv/2402.00299/): A dynamic multilayer network model has been created for improved credit risk assessment, considering borrower connections and their evolution over time.
- [Financial Fragilities and Risk-taking of Corporate Bond Funds in the Aftermath of Central Bank Policy Interventions](https://www.ml-quant.com/papers/ssrn/4463970/): It finds that central bank asset purchases during the pandemic led corporate bond fund managers to take more risks, affecting market stability.
- [The Determinants of Net Interest Margin in the Turkish Banking Sector: Does Bank Ownership Matter?](https://www.ml-quant.com/papers/arxiv/2506.04384/): A study on the Turkish banking sector identifies operation diversity, credit risk, and operating costs as key factors influencing net interest margin, with impacts varying across different bank types.
- [Recalibrating binary probabilistic classifiers](https://www.ml-quant.com/papers/arxiv/2505.19068/): The article discusses recalibrating binary probabilistic classifiers from a distribution shift perspective, introducing two new methods for conservative results in credit risk assessments.
- [Modelling the term-structure of default risk under IFRS 9 within a multistate regression framework](https://www.ml-quant.com/papers/arxiv/2502.14479/): A study comparing three loan behavior modeling techniques finds multinomial logistic regression to be the most effective, potentially improving loss reserve estimates in banking.
- [The Relative Entropy of Expectation and Price](https://www.ml-quant.com/papers/arxiv/2502.08613/): The article explores the non-linear pricing in incomplete securities markets, measuring strategic risks using an entropic risk metric and adjusting the price for market incompleteness and default risk.
