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- January 2022
- Article
Investing Outside the Box: Evidence from Alternative Vehicles in Private Equity
By: Josh Lerner, Jason Mao, Antoinette Schoar and Nan R. Zhang
This paper uses previously unexplored custodial data to examine the use of alternative investment vehicles in private equity (PE) over four decades. We document a steep increase in the capital directed to alternative vehicles, with these vehicles approaching a 40%...
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- January 2022
- Article
People Overestimate the Self-Presentation Costs of Deadline Extension Requests
By: Ashley V. Whillans, Jaewon Yoon and Grant Donnelly
Across five studies (N = 4,151), we investigate a novel barrier that prevents people from making personally beneficial requests: the overestimation of self-presentation costs. Even when deadlines are easily adjustable, people are less likely to request an extension and...
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- 2021
- Working Paper
Stock Investors' Returns are Exaggerated
By: Jesse M. Fried, Paul Ma and Charles C.Y. Wang
The stock market generates less wealth than it appears. We show that total shareholder return (TSR), the standard measure of stock investor performance, substantially exaggerates returns earned by these investors in aggregate, and thus by most investors. The main...
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- December 2021
- Case
Grace Capital
By: Sara Fleiss, Robin Greenwood, Eren Kuzucu and Denise Han
In March 2020, the global pandemic was delivering a dose of volatility to the US economy. Catherine Faddis, the CIO of Grace Capital, a Boston-based long-only equity manager, analyzed movements in her portfolio while eyeing previously shelved opportunities to invest in...
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- Article
A Prescriptive Analytics Framework for Optimal Policy Deployment Using Heterogeneous Treatment Effects
By: Edward McFowland III, Sandeep Gangarapu, Ravi Bapna and Tianshu Sun
We define a prescriptive analytics framework that addresses the needs of a constrained decision-maker facing, ex ante, unknown costs and benefits of multiple policy levers. The framework is general in nature and can be deployed in any utility maximizing context, public...
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- 2021
- Article
Adaptive Machine Unlearning
By: Seth Neel
Data deletion algorithms aim to remove the influence of deleted data points from trained models at a cheaper computational cost than fully retraining those models. However, for sequences of deletions, most prior work in the non-convex setting gives valid guarantees...
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Keywords:
Machine Learning
- December 2021
- Article
Cash-for-Information Whistleblower Programs: Effects on Whistleblowing and Consequences for Whistleblowers
By: Aiyesha Dey, Jonas Heese and Gerardo Pérez Cavazos
We study the effect of financial incentives on whistleblowing and the consequences for whistleblowers under the cash-for-information program of the False Claims Act (FCA). Exploiting appeals-court decisions that increase financial incentives for whistleblowing, we find...
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- December 2021
- Case
Troverie (A)
By: Thomas R. Eisenmann, Lindsay N. Hyde and Olivia Graham
Six months after the August 2018 launch of Troverie, a U.S.-based online retailer of luxury watches, the average cost of acquiring a customer is much higher than originally projected, and the startup is incurring a substantial loss on each sales transaction. Could...
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- November 2021
- Case
Hitting Home: Amazon and Mary's Place
By: Paul M. Healy, Debora L. Spar and Amy Klopfenstein
In 2020, Amazon, the $386 billion online retail behemoth, built an eight-story shelter for women and families experiencing homelessness on its expanding headquarters in Seattle, Washington. The shelter, operated in partnership with a non-profit organization known as...
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- Article
Accounting for Climate Change
By: Robert S. Kaplan and Karthik Ramanna
Corporations are facing growing pressure—from investors, advocacy groups, politicians, and even business leaders themselves—to reduce greenhouse gas (GHG) emissions from their operations and their supply and distribution chains. About 90% of the companies in the S&P...
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- 2021
- Working Paper
Segmented Arbitrage
We use arbitrage activity in equity, fixed income, and foreign exchange markets to characterize the frictions and constraints facing intermediaries. The average pairwise correlation between the twenty-nine arbitrage spreads that we study is 22%. These low correlations...
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- 2021
- Working Paper
Rising Markups and the Role of Consumer Preferences
By: Hendrik Döpper, Alexander MacKay, Nathan H. Miller and Joel Stiebale
We characterize the evolution of markups for consumer products in the United States from 2006 to 2019. We use detailed data on prices and quantities for products in more than 100 distinct product categories to estimate demand systems with flexible consumer preferences....
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- 2021
- Working Paper
The Business of K-12 Education in China
By: Geoffrey Jones and Yuhai Wu
This working paper examines the evolution of K-12 education in China, especially between 1985 and the present day, drawing extensive interviews with participants in the educational sector. China has been hugely successful in reaching almost 100 percent literacy,...
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- October 2021
- Case
Project Maji: Pricing Water in Sub-Saharan Africa
By: Elie Ofek, Marco Bertini, Esel Çekin and Dilyana Karadzhova Botha
In July 2021, Sunil Lalvani, founder and CEO of Project Maji, a non-profit social enterprise headquartered in Dubai that had already provided sustainable, clean water solutions to 80,000 people living in rural communities across Ghana and Kenya, was facing an important...
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- October 2021
- Article
And the Children Shall Lead: Gender Diversity and Performance in Venture Capital
By: Paul A. Gompers and Sophie Calder-Wang
With an overall lack of gender and ethnic diversity in the innovation sector documented in Gompers and Wang (2017), we ask the natural next question: Does increased diversity lead to better firm performances? In this paper, we attempt to answer this question using a...
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- 2021
- Chapter
Building Small Business Utopia: How Artificial Intelligence and Big Data Can Increase Small Business Success
By: Karen G. Mills and Annie Dang
Small business lending has remained unchanged for decades, laden with frictions and barriers that prevent many small businesses from accessing the capital they need to succeed. Financial technology, or “fintech,” promises to change this trajectory. In 2010, new fintech...
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Keywords:
Big Data;
Fintech;
Artificial Intelligence;
Small Business;
Financing and Loans;
Capital;
Success
- October 2021
- Article
Fintech Borrowers: Lax Screening or Cream-Skimming?
By: Marco Di Maggio and Vincent Yao
Personal credit is the fastest-growing segment of the consumer credit market, mainly driven by fintech lenders' staggering expansion. We study this market using a unique individual-level data, which covers most of the top fintech and traditional lenders, and provides...
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- October 2021
- Article
Judgment Aggregation in Creative Production: Evidence from the Movie Industry
By: Hong Luo, Jeffrey T. Macher and Michael Wahlen
We study a novel, low-cost approach to aggregating judgment from a large number of industry experts on ideas that they encounter in their normal course of business. Our context is the movie industry, in which customer appeal is difficult to predict and investment costs...
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- September 2021
- Case
Harambe: Mobilizing Capital in Africa
By: Anywhere (Siko) Sikochi, Dilyana Karadzhova Botha and Francesco Tronci
Harambe was a non-profit organization whose mission was to build an ecosystem to identify promising young African entrepreneurs and provide them access to training, markets, capital, and support networks. From 2007 to 2021, Harambe had grown to a network of 367...
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- September 2021
- Case
Community Solutions
By: Brian Trelstad and Tom Quinn
Community Solutions was an anti-homelessness nonprofit founded in 2011 after protagonist Rosanne Haggerty grew frustrated with the limited impact of traditional housing and outreach strategies. It set an ambitious goal, reached in some partner communities, of ending...
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Change;
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United States;
New York (city, NY);
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