HIP Analyzer

Research Design & Data

Methodology, data sources, sample construction, and statistical framework

Research Question

Does pre-acquisition ESG performance, as measured by HIP Investor ratings, predict post-acquisition cumulative abnormal returns for Chinese firms undergoing M&A activity between 2016 and 2026?

Sample

754 firms

Period

2016-2026

Market

China A-shares

Variables

106 HIP

Sample Selection

754 Chinese publicly traded firms with HIP ratings measured in 2022, sourced from HIP Investor Inc.'s proprietary rating database. All firms are listed on Chinese stock exchanges (Shanghai/Shenzhen) and categorized into terciles based on HIP score.

HIP Tercile Groups

n = 193

High HIP

Mean rating: 0.4132

Range: [0.3393, 0.5834]

n = 295

Medium HIP

Mean rating: 0.2890

Range: [0.2506, 0.3378]

n = 266

Low HIP

Mean rating: 0.2120

Range: [0.1098, 0.2504]

Why Chinese Firms?

  • China represents the world's second-largest economy with a rapidly evolving ESG landscape
  • Chinese A-share listed companies provide deep, liquid markets for rigorous analysis
  • HIP Investor's coverage of 754 firms provides sufficient statistical power for tercile comparisons
  • Focus on publicly traded firms ensures data transparency and return verifiability
  • Sample captures diverse industries and sizes, enabling broad generalization within the Chinese market

Data Sources

HIP Investor Inc.

ESG Ratings

Proprietary ESG ratings across 106 variables, organized into 5 pillars (Health, Wealth, Earth, Equality, Trust), plus 48 sub-indicators selected for regression analysis.

FactSet

Financial Data

Annual stock returns (2016-2026), M&A transaction data (315 transactions across 14 firms, 202 as buyer, 113 as seller).

CSI 300 Index

Market Benchmark

Market benchmark for calculating abnormal returns using the market model.

Time Period: 2016-2026 (11 Years)

1

Annual Returns

11 annual return observations per firm (2016, 2017, 2018, 2019, 2020, 2021, 2022, 2023, 2024, 2025, 2026)

2

HIP Ratings

HIP ratings snapshot from 2022 used as cross-sectional predictor

3

M&A Events

M&A events identified by first acquisition date per firm

4

Event Window

[-12, +12] months around M&A announcement

M&A Subsample

Firms with M&A

14

Total Transactions

315

As Buyer

202

As Seller

113

  • 14 firms with M&A activity identified from FactSet Deal Summary
  • 315 total transactions: 202 as buyer, 113 as seller
  • Analysis focuses on buyer deals using first acquisition as event year
  • Pre- and post-event Cumulative Abnormal Returns (CAR) computed using market model

Citation

Lisowski, L. (2026). "Human Impact + Profit Scores and Post-Acquisition Performance: Evidence from 754 Chinese Firms." Rollins College, International Business, concentration in Finance. Professor Marc Sardy.