Bei Cui

Monash Centre for Financial Studies, Monash Business School, Monash University

13/f 30 Collins Street

Melbourne, Victorial 3000

Australia

  • Monash Centre for Financial Studies, Monash Business School, Monash University

SCHOLARLY PAPERS

4

DOWNLOADS
Rank 25,130

SSRN RANKINGS

Top 25,130

in Total Papers Downloads

4,289

TOTAL CITATIONS

7

Scholarly Papers (4)

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1.

Stock Price Overreaction to ESG Controversies

Number of pages: 21 Posted: 08 Apr 2020
Bei Cui and Paul Docherty
Monash Centre for Financial Studies, Monash Business School, Monash University and The Brattle Group
Downloads 3,237 (7,996)
Citation 3

Abstract:

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ESG, Investment Management, Over-Reaction, News, Institutional Investors

2.

A Pond for Small Fish? News and  (Retail) Trading After-Hours

Number of pages: 64 Posted: 11 Mar 2021 Last Revised: 19 Dec 2024
Bei Cui, Arie Eskenazi Gozluklu and Ozkan Haykir
Monash Centre for Financial Studies, Monash Business School, Monash University, University of Warwick - Finance Group and Nigde Omer Halisdemir University
Downloads 656 (84,990)
Citation 1

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After-hours trading, news events, insider trades, Robinhood, machine learning

3.

Intraday Rallies and Crashes: Spillovers of Trading Halts

Number of pages: 46 Posted: 30 Oct 2015 Last Revised: 16 May 2016
Bei Cui and Arie Eskenazi Gozluklu
Monash Centre for Financial Studies, Monash Business School, Monash University and University of Warwick - Finance Group
Downloads 327 (193,982)
Citation 3

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circuit breakers, trading halts, arbitrage, momentum, pairs trading

4.

Bond Defaults in China: Using Machine Learning to Make Predictions

International Review of Finance, volume 25, issue 1, 2025[10.1111/irfi.70010]
Number of pages: 39 Posted: 16 Jan 2025 Last Revised: 17 Mar 2025
Bei Cui, Li Ge and Priscila Grecov
Monash Centre for Financial Studies, Monash Business School, Monash University, Monash Business School and Monash University - Faculty of Information Technology
Downloads 69 (698,696)

Abstract:

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Chinese Bond Markets, Credit Risk Assessment, Machine Learning, Credit Bond Defaults