---
title: What Is a Corporate Bond Spread Made of? Decomposition, Pricing and a Real-Time Backtest in Brazil’s Debenture Market
url: https://www.ml-quant.com/papers/ssrn/7637398/
site: ML-Quant (https://www.ml-quant.com)
updated: 2026-10-23
license: Summaries CC BY 4.0; links go to the original sources
index: https://www.ml-quant.com/llms.txt
identifier: SSRN 7637398
source_url: https://papers.ssrn.com/sol3/papers.cfm?abstract_id=7637398
featured: 2026-10-23
citations: unknown
topic: Derivatives & Volatility
---


# What Is a Corporate Bond Spread Made of? Decomposition, Pricing and a Real-Time Backtest in Brazil’s Debenture Market

Decomposing debenture spreads into issuer, market, and contract components shows issuer risk explains 54 percent of variance, enabling out-of-sample pricing within 14 basis points.

- Source: https://papers.ssrn.com/sol3/papers.cfm?abstract_id=7637398
- Identifier: SSRN 7637398
- Released: 2026-10-21
- First featured: Quant Letter No. 136 (2026-10-23): https://www.ml-quant.com/issues/2026-10-23/
- Citations (Semantic Scholar): not tracked
- Published in: not yet
- Topic: Derivatives & Volatility
- Authors: Gabriel Pires

## Related

- [VolTS: A Volatility-based Trading System to forecast Stock Markets Trend using Statistics and Machine Learning](https://www.ml-quant.com/papers/arxiv/2307.13422/): The article presents a new stock market trading strategy using machine learning and statistical analysis to predict trends, proven effective through backtesting.
- [Pre-registering a Market Risk Backtest: A Frozen Gaussian Model for a Rates and Currency Portfolio, 2015–25](https://www.ml-quant.com/papers/ssrn/7616161/): A frozen Gaussian VaR model, pre-registered and anchored in Bitcoin, passed coverage tests but showed clustering in 2020, 2022 and 2023, while exponentially weighted variance improved.
- [The Credit Spread at Long Horizons](https://www.ml-quant.com/papers/ssrn/7570200/): The study shows that Baa-Aaa spreads at 27-year maturity test pricing kernels better than shorter maturities, with a structural refinancing model matching observed spreads while prior kernels overpredict by 27 to 68 basis points.
- [Credit When it's Due: Corporate Bond Factors on a Schedule](https://www.ml-quant.com/papers/ssrn/7524680/): The research finds that the first five trading days of each month account for 73% of individual bond credit returns and 83% of the market credit premium, revealing a concentrated timing pattern in fixed-income compensation.
- [CREDIT DERIVATIVE -An Alternative Tool for Indian Commercial Banks to Transfer Credit Risk](https://www.ml-quant.com/papers/ssrn/4973692/): Poor credit risk management in Indian banks has led to rising Non-Performing Assets, highlighting the need for modern risk tools, such as credit derivatives, to improve future performance.
- [Implied Probabilities and Volatility in Credit Risk: A Merton-Based Approach with Binomial Trees](https://www.ml-quant.com/papers/arxiv/2506.12694/): The paper outlines a two-stage method for pricing credit risk using the Merton model, introducing a new mapping between risk-neutral and physical parameters for stress testing and credit risk analysis.
