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- November–December 2024
- Article
Retire Without Regrets
By: Teresa M. Amabile, Lotte Bailyn, Marcy Crary, Douglas T. "Tim" Hall and Kathy E. Kram
This article explores the significant transition of retirement and offers insights into creating a satisfying postcareer life. It highlights the contrasting experiences of Irene and Lawrence, two retirees who navigated this change differently. Irene embraced retirement... View Details
- 2024
- Working Paper
What Do Bank Trading Desks Do?
By: Lina Lu and Jonathan Wallen
Bank trading desks earn profits from intermediating customer trading volume. Across a broad set of asset markets, we document that the trading desks of large U.S. dealer banks behave as financial intermediaries that profit from toll-taking as in Duffie et al. (2005).... View Details
- March 2024 (Revised July 2024)
- Case
WeightWatchers: Promoting Weight Health
In December 2023, the 60-year-old weight management industry stalwart WeightWatchers announced the launch of WeightWatchers Clinic, which incorporated GLP-1s , a new class of prescription weight-loss medications, into the company’s portfolio of products and mobile app... View Details
- March 2024 (Revised May 2024)
- Case
Masterpiece for the Masses: The First Art Exchange ARTEX
By: Lauren Cohen, Anastasiya Siroochenko (Siro) and Sophia Pan
Yassir Benjelloun-Touimi, CEO of ARTEX, aspired to marry the world of art and finance. Hoping to promote transparent, fractionalized ownership of renowned artwork, the founder had spent years contemplating the birth of an art stock market. This exchange would allow... View Details
Keywords: Trading; Art Market; Art Fair; Tokenization; Democratization; Exchange Traded Fund; Price Monitoring; Trends And Opportunities; Financial Liquidity; Financial Markets; Arts; Financial Strategy; Initial Public Offering; Investment Return; Technological Innovation; Business Model; Trends; Stocks; Assets; Diversification; Trade; Financial Services Industry; Fine Arts Industry; Paris; France
- 2024
- Working Paper
Bootstrap Diagnostics for Irregular Estimators
By: Isaiah Andrews and Jesse M. Shapiro
Empirical researchers frequently rely on normal approximations in order to summarize and communicate uncertainty about their findings to their scientific audience. When such approximations are unreliable, they can lead the audience to make misguided decisions. We... View Details
- September 2023
- Article
Customer Churn and Intangible Capital
By: Scott R. Baker, Brian Baugh and Marco Sammon
Intangible capital is a crucial and growing piece of firms’ capital structure, but many of its distinct components are difficult to measure. We develop and make available several new firm-level metrics regarding a key component of intangible capital – firms’ customer... View Details
- 2023
- Working Paper
In-Context Unlearning: Language Models as Few Shot Unlearners
By: Martin Pawelczyk, Seth Neel and Himabindu Lakkaraju
Machine unlearning, the study of efficiently removing the impact of specific training points on the
trained model, has garnered increased attention of late, driven by the need to comply with privacy
regulations like the Right to be Forgotten. Although unlearning is... View Details
- September 2023
- Teaching Note
Shad Process Flow Design Exercise: Kick-Off Class
By: Willy C. Shih
The Shad Process Flow Design Exercise is a simulation designed to help students cement what they learn in the process fundamentals section of the RCTOM course by giving them the opportunity to translate classroom concepts into actual physical processes and experience... View Details
- September 2023
- Article
The Changing Role of Managers
By: Letian Zhang
This study argues that the increase in middle management in recent decades was
accompanied by a major shift in managerial roles. Increased task complexity and a
new management philosophy have reduced the need for direct supervision but generated
a much greater... View Details
- 2023
- Article
Towards Bridging the Gaps between the Right to Explanation and the Right to Be Forgotten
By: Himabindu Lakkaraju, Satyapriya Krishna and Jiaqi Ma
The Right to Explanation and the Right to be Forgotten are two important principles outlined to regulate algorithmic decision making and data usage in real-world applications. While the right to explanation allows individuals to request an actionable explanation for an... View Details
- July 2023 (Revised February 2024)
- Case
Equity Restructuring at Dell Technologies: Buy Out, Buy Up, Buy In (A)
By: Stuart C. Gilson and Sarah L. Abbott
In November 2018, Dell Technologies was poised to re-enter the public markets by means of a complex recapitalization that would replace an entire class of publicly-traded “tracking stock,” with new shares that would trade publicly without the need of a formal IPO. The... View Details
- July 2023
- Article
Design and Analysis of Switchback Experiments
By: Iavor I Bojinov, David Simchi-Levi and Jinglong Zhao
In switchback experiments, a firm sequentially exposes an experimental unit to a random treatment, measures its response, and repeats the procedure for several periods to determine which treatment leads to the best outcome. Although practitioners have widely adopted... View Details
- 2023
- Chapter
Private Equity Financing
The goal of this chapter is to understand the common practices of PE funds’ structure and funding. The chapter covers three topics. First, it gives an overview of the traditional private equity (PE) financing structure; then, it discusses other investment vehicles like... View Details
- June 2023
- Technical Note
Enhancing Your Contribution to Group Learning in Marketing
By: Jill Avery
How to enhance your contribution to group learning in RC Marketing. Includes information on the learning contract in a case class and the respective roles of instructor and students, how to analyze a marketing case, how to participate in a marketing case discussion,... View Details
Keywords: Marketing
- June 2023
- Case
Investing in the Climate Transition at Neuberger Berman
By: George Serafeim and Benjamin Maletta
By mid-2023, Neuberger Berman (NB), an active asset manager, had grown its assets under management to about half a trillion dollars and took pride in its client centricity and innovative spirit. Responding to client demand for investment products that integrated... View Details
Keywords: Carbon Emissions; Sustainability; Decarbonization; Performance; Risk Assessment; Opportunities; Environmental Sustainability; Carbon Footprint; Business Analysis; Investing; Regulation; Asset Management; Investment Strategy; Climate Change; Transition; Analysis; Product Positioning; Strategy; Investment Portfolio; Financial Services Industry; Energy Industry
- 2023
- Working Paper
Design-Based Confidence Sequences: A General Approach to Risk Mitigation in Online Experimentation
By: Dae Woong Ham, Michael Lindon, Martin Tingley and Iavor Bojinov
Randomized experiments have become the standard method for companies to evaluate the performance of new products or services. In addition to augmenting managers’ decision-making, experimentation mitigates risk by limiting the proportion of customers exposed to... View Details
- 2023
- Article
Probabilistically Robust Recourse: Navigating the Trade-offs between Costs and Robustness in Algorithmic Recourse
By: Martin Pawelczyk, Teresa Datta, Johannes van-den-Heuvel, Gjergji Kasneci and Himabindu Lakkaraju
As machine learning models are increasingly being employed to make consequential decisions in real-world settings, it becomes critical to ensure that individuals who are adversely impacted (e.g., loan denied) by the predictions of these models are provided with a means... View Details
- 24 Apr 2023 - 27 Apr 2023
- Conference Presentation
Diversity, Equity, & Inclusion: The Paradoxical Effect & Impact on Security
By: J. Carlos Vega, Hise O. Gibson, Nicole Gilmore and Larry Whiteside Jr.
Diversity, Equity, & Inclusion (DEI) is necessary to create the world class teams we need to defend against advanced threats and adversaries; however, the approach that most take often fails spectacularly. The panel challenges the current practices, the failings, and... View Details
- 2023
- Working Paper
Feature Importance Disparities for Data Bias Investigations
By: Peter W. Chang, Leor Fishman and Seth Neel
It is widely held that one cause of downstream bias in classifiers is bias present in the training data. Rectifying such biases may involve context-dependent interventions such as training separate models on subgroups, removing features with bias in the collection... View Details
- 2023
- Working Paper
PRIMO: Private Regression in Multiple Outcomes
By: Seth Neel
We introduce a new differentially private regression setting we call Private Regression in Multiple Outcomes (PRIMO), inspired the common situation where a data analyst wants to perform a set of l regressions while preserving privacy, where the covariates... View Details