cnevent: Event study with Chinese equity market data

In this article, we present a new command, cnevent, that runs event studies about Chinese-listed companies. With cnevent, researchers are required to provide only a list of events with the Chinese stock code and the corresponding date for each event, and the command can automatically extract indexes and each individual stock’s return data to run the whole process of the event study. Furthermore, cnevent enables users to choose the benchmark from among different market indexes and different event window sets with options. The command then generates daily abnormal returns for all trading days within the event window and aggregates the cumulative abnormal returns (CARs) for the whole event window. Finally, cnevent can plot a graph to show the trend of the CAR t within the event window and test whether the event has a significant effect on valuation.

Authors

Institutions

Publication Details

Journal
The Stata Journal Promoting communications on statistics and Stata
Published
2024-09-01
DOI
https://doi.org/10.1177/1536867x241276112
Primary Topic
Financial Markets and Investment Strategies
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

cnevent: Event study with Chinese equity market data

Lifang Cao, Chuntao Li, Yizhuo Fang
The Stata Journal Promoting communications on statistics and Stata
Financial Markets and Investment Strategies
article

cnevent: Event study with Chinese equity market data

Lifang Cao, Chuntao Li, Yizhuo Fang
article en

Abstract

In this article, we present a new command, cnevent, that runs event studies about Chinese-listed companies. With cnevent, researchers are required to provide only a list of events with the Chinese stock code and the corresponding date for each event, and the command can automatically extract indexes and each individual stock’s return data to run the whole process of the event study. Furthermore, cnevent enables users to choose the benchmark from among different market indexes and different event window sets with options. The command then generates daily abnormal returns for all trading days within the event window and aggregates the cumulative abnormal returns (CARs) for the whole event window. Finally, cnevent can plot a graph to show the trend of the CAR t within the event window and test whether the event has a significant effect on valuation.

The Stata Journal Promoting communications on statistics and StataVol. 24(3)
Henan University (CN)
Openalex Percentile: Top 79%
Financial Markets and Investment Strategies
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.