Author Page for Lea Henny Stern

Pay for Performance from Future Fund Flows: The Case of Private Equity

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Citation 14

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Pay for Performance from Future Fund Flows: The Case of Private Equity

Review of Financial Studies, Forthcoming, Charles A. Dice Center Working Paper No. 2010-003, Fisher College of Business Working Paper No. 2010-3-003

Number of pages: 52 Posted: 20 Feb 2010 Last Revised: 11 Dec 2011

Ji-Woong Chung, Berk A. Sensoy, Lea Henny Stern and Michael S. Weisbach

Korea University - Department of Finance, Vanderbilt University - Finance, University of Washington - Michael G. Foster School of Business and Ohio State University (OSU) - Department of Finance

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Citation 14

Abstract:

Pay for Performance from Future Fund Flows: The Case of Private Equity

NBER Working Paper No. w16369

Number of pages: 46 Posted: 20 Sep 2010

Ji-Woong Chung, Berk A. Sensoy, Lea Henny Stern and Michael S. Weisbach

Korea University - Department of Finance, Vanderbilt University - Finance, University of Washington - Michael G. Foster School of Business and Ohio State University (OSU) - Department of Finance

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Citation 14

Abstract:

2.

Selecting Directors Using Machine Learning

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3

Selecting Directors Using Machine Learning

Fisher College of Business Working Paper No. 2018-03-005, Charles A. Dice Center Working Paper No. 2018-05

Number of pages: 55 Posted: 21 Mar 2018 Last Revised: 06 Oct 2018

Isil Erel, Lea Henny Stern, Chenhao Tan and Michael S. Weisbach

Ohio State University (OSU) - Department of Finance, University of Washington - Michael G. Foster School of Business, University of Colorado at Boulder and Ohio State University (OSU) - Department of Finance

Downloads 580 (42,183)

Abstract:

Selecting Directors Using Machine Learning

NBER Working Paper No. w24435

Number of pages: 60 Posted: 26 Mar 2018

Isil Erel, Lea Henny Stern, Chenhao Tan and Michael S. Weisbach

Ohio State University (OSU) - Department of Finance, University of Washington - Michael G. Foster School of Business, University of Colorado at Boulder and Ohio State University (OSU) - Department of Finance

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Abstract:

Selecting Directors Using Machine Learning

Number of pages: 60 Posted: 17 Aug 2018

Isil Erel, Lea Henny Stern, Chenhao Tan and Michael S. Weisbach

Ohio State University (OSU) - Department of Finance, University of Washington - Michael G. Foster School of Business, University of Colorado at Boulder and Ohio State University (OSU) - Department of Finance

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Abstract:

3.

Is Corporate Governance Risk Valued? Evidence from Directors’ and Officers’ Insurance

Journal of Corporate Finance, Vol. 18, No. 2, 2012

Number of pages: 54 Posted: 18 Mar 2010 Last Revised: 10 Aug 2015

Lea Henny Stern and M. Martin Boyer

University of Washington - Michael G. Foster School of Business and HEC Montreal - Department of Finance

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Citation 2

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4.

A Learning-Based Approach to Evaluating Boards of Directors

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2

A Learning-Based Approach to Evaluating Boards of Directors

Number of pages: 57 Posted: 13 Aug 2015 Last Revised: 07 Oct 2018

Lea Henny Stern

University of Washington - Michael G. Foster School of Business

Downloads 210 (135,406)

Abstract:

A Learning-Based Approach to Evaluating Boards of Directors

Paris December 2017 Finance Meeting EUROFIDAI - AFFI

Number of pages: 60 Posted: 07 Jun 2017

Lea Henny Stern

University of Washington - Michael G. Foster School of Business

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Abstract:

5.

D&O Insurance and IPO Performance: What Can We Learn from Insurers?

Journal of Financial Intermediation, Forthcoming

Number of pages: 52 Posted: 09 Nov 2013 Last Revised: 12 Sep 2014

M. Martin Boyer and Lea Henny Stern

HEC Montreal - Department of Finance and University of Washington - Michael G. Foster School of Business

Downloads 176 (159,777)

Lea Henny Stern

University of Washington - Michael G. Foster School of Business

Assistant Professor of Finance and Business Economics

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Scholarly Papers (5)

Pay for Performance from Future Fund Flows: The Case of Private Equity

Pay for Performance from Future Fund Flows: The Case of Private Equity

Abstract:

Pay for Performance from Future Fund Flows: The Case of Private Equity

Abstract:

Selecting Directors Using Machine Learning

Selecting Directors Using Machine Learning

Abstract:

Selecting Directors Using Machine Learning

Abstract:

Selecting Directors Using Machine Learning

Abstract:

Is Corporate Governance Risk Valued? Evidence from Directors’ and Officers’ Insurance

Abstract:

A Learning-Based Approach to Evaluating Boards of Directors

A Learning-Based Approach to Evaluating Boards of Directors

Abstract:

A Learning-Based Approach to Evaluating Boards of Directors

Abstract:

D&O Insurance and IPO Performance: What Can We Learn from Insurers?

Abstract: