HKEX IPO Study

The problem

This study uses ROE as a defined proxy for post-IPO financial performance and evaluates industry, firm size, and revenue with explicit caveats about inference.

Do industry classification, total assets, and total revenue explain variation in ROE around the IPO period?

The paper examines HKEX IPO data as a transparent proxy environment for thinking about financial fundamentals and IPO selection dynamics.

How it works

1. 01

   Wind / 441-firm sample

2. 02

   ROE and accounting variables

3. 03

   Log transforms + industry indicators

4. 04

   OLS

5. 05

   Clustered inference + interpretation

From input to output

1. 01Compile a 441-firm HKEX IPO sample from the Wind Financial Database.
2. 02Use ROE as the outcome and log-transform heavily skewed assets and revenue variables.
3. 03Estimate cross-sectional OLS with industry dummy variables and Consumer Discretionary as the reference group.
4. 04Compare conventional and industry-clustered standard errors, then interpret results alongside omitted-variable and proxy limitations.

Data sources

• Wind Financial Database
• 441 HKEX IPO firms
• IPO cohort spanning 2020-2025

Technical approach

• Cross-sectional OLS regression
• Log transformations
• Industry one-hot encoding
• Industry-clustered standard errors

What you can inspect

• The report documents industry-level differences in the analysis narrative.
• The reported adjusted R-squared was -0.0045, limiting the strength of broad explanatory claims.

Industry and accounting variables alone did not provide a sufficiently precise basis for strong general claims about IPO performance in the documented specification.

Where this is useful

• The result favors a cautious due-diligence approach that supplements sector labels with firm-level drivers.
• ROE can inform a fundamental view but does not capture market reception or first-day performance.

Checks & engineering decisions

Verification evidence

• Compare conventional and industry-clustered standard errors.
• Reported adjusted R²: -0.0045; the specification has weak explanatory power.

Key decisions

• Define ROE as a limited performance proxy.
• Log-transform skewed assets and revenue.
• Avoid causal conclusions from cross-sectional industry differences.

Role & status

Supporting project material.

Limitations

• ROE is only a proxy for IPO success.
• The cross-sectional design does not establish causality.
• Firm age, leverage, ownership, and market conditions were not fully modeled.

Explore the evidence

Content is based on the local paper and its HTML output; the underlying Wind dataset is not published.