吴娟｜清华大学｜学者主页

期刊论文

2026

Deciphering Greenium: The Role of Investor Demand

Li-Ying Wang, Juan Wu

Management Sciences

DOI

2023

E‐platform finance versus bank finance: pricing, quality design, and competition analysis

Gongbing Bi, Juan Wu, Yang Xu

Mathematical methods in the applied sciences

DOI

2023

Standing Out from the Crowd via CSR Engagement: Evidence from Non-Fundamental-Driven Price Pressure

Lei Gao, J. He, Juan Wu

Journal of Financial and Quantitative Analysis

DOI

2022

张孝祥“于湖词”真伪考辨

吴娟

《清华大学学报(哲学社会科学版)》，Vol. 37, No. 6

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2022

两宋别集合刻考论——兼谈别集合刻与文学的交互关系

吴娟

《苏州大学学报(哲学社会科学版)》，Vol. 43, No. 6

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2022

How do stronger creditor rights impact corporate acquisition activity and quality?

Megan Rainville, Emre Unlu, Juan Wu

Journal of Banking & Finance

DOI

2022

Changes in U.S. Multinational Firms’ Investment and Income Shifting after the 2017 Tax Cuts and Jobs Act

Linda K. Krull, Juan Wu

Social Science Research Network

DOI

2021

创业领域即兴行为研究:前因、结果及边界条件

马鸿佳，吴娟，郭海，葛宝山

《管理世界》，No. 5

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2020

Mechanisms of Contact-induced Linguistic Creations in Chinese Buddhist Translations

Wu Juan

Acta Orientalia Academiae Scientiarum Hungaricae，Vol. 73, No. 3

DOI

2020

印度佛教和耆那教的拯救观之比较——以阿阇世王故事为例

吴娟

《清华大学学报(哲学社会科学版)》，Vol. 35, No. 2

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2020

张孝祥《于湖词》版本源流考

吴娟

《图书馆杂志》，Vol. 29, No. 9

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2020

Institutional allocations in the primary market for corporate bonds

Stanislava Nikolova, Li-Ying Wang, Juan Wu

Journal of Financial Economics

DOI

2020

Algorithmic Trading and Market Quality: International Evidence

Ekkehart Boehmer, Kingsley Fong, Juan Wu

Journal of Financial and Quantitative Analysis

DOI

2019

论汉语方言的语义类型学意义——兼谈语义类型学视野下汉语方言大型词典的编纂

黄树先，吴娟

《语文研究》，No. 4

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2019

Short selling and market anomalies

Juan Wu, Jianzhong Zhang

Journal of financial markets

DOI

2018

Vote Avoidance and Shareholder Voting in Mergers and Acquisitions

Kai Li, Tingting Liu, Juan Wu

The Review of financial studies

DOI

2016

Shareholder Approval in Mergers & Acquisitions

Kai Li, Tingting Liu, Juan Wu

DOI

2016

Standing out from the Crowd via Corporate Goodness: Evidence from a Natural Experiment

Lei Gao, Jie He, Juan Wu

2015

What Do Short Sellers Know?*

Ekkehart Boehmer, Charles M. Jones, Juan Wu, Xiao-Yan Zhang

Review of Finance

DOI

2014

Merger Arbitrage Short Selling and Price Pressure

Tingting Liu, Juan Wu

DOI

2013

Short Selling and the Price Discovery Process

Ekkehart Boehmer, Juan Wu

DOI

2011

汉译《维摩诘经》中“云何”的特殊用法

吴娟

《中国语文》，No. 1

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2008

也说“白衣”

吴娟

《语言研究》，No. 1

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2008

Order Flow and Prices

Ekkehart Boehmer, Juan Wu

DOI

2007

Essays on equity prices and market structures

Juan Wu

预印本

2026

When Is Self-Disclosure Optimal? Incentives and Governance of AI-Generated Content

Juan Wu, Zhe, Zhang, Amit Mehra

arXiv preprint

精选作品

期刊论文

Deciphering Greenium: The Role of Investor Demand

E‐platform finance versus bank finance: pricing, quality design, and competition analysis

Standing Out from the Crowd via CSR Engagement: Evidence from Non-Fundamental-Driven Price Pressure

张孝祥“于湖词”真伪考辨

两宋别集合刻考论——兼谈别集合刻与文学的交互关系

How do stronger creditor rights impact corporate acquisition activity and quality?

Changes in U.S. Multinational Firms’ Investment and Income Shifting after the 2017 Tax Cuts and Jobs Act

创业领域即兴行为研究:前因、结果及边界条件

Mechanisms of Contact-induced Linguistic Creations in Chinese Buddhist Translations

印度佛教和耆那教的拯救观之比较——以阿阇世王故事为例

张孝祥《于湖词》版本源流考

Institutional allocations in the primary market for corporate bonds

Algorithmic Trading and Market Quality: International Evidence

论汉语方言的语义类型学意义——兼谈语义类型学视野下汉语方言大型词典的编纂

Short selling and market anomalies

Vote Avoidance and Shareholder Voting in Mergers and Acquisitions

Shareholder Approval in Mergers & Acquisitions

Standing out from the Crowd via Corporate Goodness: Evidence from a Natural Experiment

What Do Short Sellers Know?*

Merger Arbitrage Short Selling and Price Pressure

Short Selling and the Price Discovery Process

汉译《维摩诘经》中“云何”的特殊用法

也说“白衣”

Order Flow and Prices

Essays on equity prices and market structures

预印本

When Is Self-Disclosure Optimal? Incentives and Governance of AI-Generated Content