---
title: Corporate Bond Pricing: Implications of Institutional Demand
url: https://www.ml-quant.com/papers/ssrn/4550658/
site: ML-Quant (https://www.ml-quant.com)
updated: 2026-09-26
license: Summaries CC BY 4.0; links go to the original sources
index: https://www.ml-quant.com/llms.txt
identifier: SSRN 4550658
source_url: https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4550658
featured: 2023-08-30
citations: unknown
topic: Macro-Finance & Rates
---


# Corporate Bond Pricing: Implications of Institutional Demand

Implications of Institutional Demand: The research indicates that corporate bond pricing is significantly affected by institutional demand, with different institutions having different preferences for maturity credit risk and liquidity.

- Source: https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4550658
- Identifier: SSRN 4550658
- Released: 2021-01-15
- First featured: Quant Letter No. 14 (2023-08-30): https://www.ml-quant.com/issues/2023-08-30/
- Citations (Semantic Scholar): not tracked
- Published in: not yet
- Topic: Macro-Finance & Rates

## Related

- [Deep Learning for Corporate Bonds](https://www.ml-quant.com/papers/ssrn/4527372/): A U.S. corporate bonds market asset pricing model shows that maximizing the Sharpe ratio performs better for individual bonds, with significant excess returns shown in out-of-sample annual SDF portfolio Sharpe ratios.
- [Corporate Bond Factors: Replication Failures and a New Framework](https://www.ml-quant.com/papers/ssrn/4586652/): The study criticizes inconsistent methodologies in corporate bond factors literature, suggesting a robust factor construction and a clean database for corporate bond returns.
- [Supervised Similarity for High-Yield Corporate Bonds with Quantum Cognition Machine Learning](https://www.ml-quant.com/papers/arxiv/2502.01495/): The research applies quantum cognition machine learning to distance metric learning in corporate bond markets, outperforming traditional models in high-yield markets and performing similarly or better in investment grade markets.
- [Geopolitical Risk in Green and Conventional Bonds](https://www.ml-quant.com/papers/ssrn/4566554/): Green bonds are significantly influenced by geopolitical risk and are also affected by sovereign and corporate bonds, indicating they behave differently from conventional bonds, especially during high volatility periods.
- [The Past, Present, and Future of Low-Risk Corporate Bonds](https://www.ml-quant.com/papers/ssrn/4574834/): The research indicates that low-risk corporate bonds yield high returns due to leverage-constrained investors 'reaching for yield', and presents new systematic volatility measures for all bonds.
- [Corporate Bond Funds and Underpriced New Issues](https://www.ml-quant.com/papers/ssrn/4582729/): From 2002-2019, active investment-grade corporate bond mutual funds saw significant positive returns, largely due to underpriced new bond offerings to funds with strong underwriting relationships.
