How Do Corporate Factors Affect Price Discovery Process Between Equity and Credit Markets?

ABSTRACT We conduct price discovery analysis to investigate the lead–lag relationship between equity and CDS markets within a corporate finance framework. Based on a sample of 89 firms covering investment‐grade and high‐yield firms, we detect stationarity and cointegration within a panel framework associated with nine corporate financial characteristic factors. With an expectation maximisation Kalman filter applied to deal with non‐synchronicity and microstructure noise in 1‐min data, we verify its practicability in addressing the issue of missing data in a high‐frequency modelling setting. We demonstrate that the price discovery process is more credit market driven when a company's credit risk increases, which is significantly more prominent for small‐sized firms with highly volatile equity prices and increasing default probability.

Authors

Institutions

Publication Details

Journal
Accounting and Finance
Published
2025-11-11
DOI
https://doi.org/10.1111/acfi.70116
Primary Topic
Credit Risk and Financial Regulations
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

How Do Corporate Factors Affect Price Discovery Process Between Equity and Credit Markets?

Guillaume Bagnarosa, Mark Cummins, Xinquan Zhou
Accounting and Finance
Credit Risk and Financial Regulations
article

How Do Corporate Factors Affect Price Discovery Process Between Equity and Credit Markets?

Guillaume Bagnarosa, Mark Cummins, Xinquan Zhou
article en

Abstract

ABSTRACT We conduct price discovery analysis to investigate the lead–lag relationship between equity and CDS markets within a corporate finance framework. Based on a sample of 89 firms covering investment‐grade and high‐yield firms, we detect stationarity and cointegration within a panel framework associated with nine corporate financial characteristic factors. With an expectation maximisation Kalman filter applied to deal with non‐synchronicity and microstructure noise in 1‐min data, we verify its practicability in addressing the issue of missing data in a high‐frequency modelling setting. We demonstrate that the price discovery process is more credit market driven when a company's credit risk increases, which is significantly more prominent for small‐sized firms with highly volatile equity prices and increasing default probability.

Accounting and FinanceVol. 66(1)
University of Strathclyde (GB), Wuhan University of Technology (CN), École Supérieure de Commerce de Rennes (FR)
Openalex Percentile: Top 57%
Credit Risk and Financial Regulations
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.