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      • 2024
      • Working Paper

      Finance Without Exotic Risk

      By: Pedro Bordalo, Nicola Gennaioli, Rafael La Porta and Andrei Shleifer
      We address the joint hypothesis problem in cross-sectional asset pricing by using measured analyst expectations of earnings growth. We construct a firm-level measure of Expectations Based Returns (EBRs) that uses analyst forecast errors and revisions and shuts down any... View Details
      Keywords: Investment Return; Financial Markets; Behavioral Finance; Risk and Uncertainty
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      Bordalo, Pedro, Nicola Gennaioli, Rafael La Porta, and Andrei Shleifer. "Finance Without Exotic Risk." NBER Working Paper Series, No. 33004, September 2024.
      • September 2024
      • Article

      Investing in the Next Generation: The Long-Run Impacts of a Liquidity Shock

      By: Patrick Agte, Arielle Bernhardt, Erica M. Field, Rohini Pande and Natalia Rigol
      How do poor entrepreneurs trade off investments in business enterprises versus children's human capital, and how do these choices influence intergenerational socio-economic mobility? To examine this, we exploit experimental variation in household income resulting from... View Details
      Keywords: Socio-economic Mobility; Entrepreneurship; Education; Income; Literacy; Poverty
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      Agte, Patrick, Arielle Bernhardt, Erica M. Field, Rohini Pande, and Natalia Rigol. "Investing in the Next Generation: The Long-Run Impacts of a Liquidity Shock." American Economic Review 114, no. 9 (September 2024): 2792–2824.
      • 2024
      • Article

      Learning Under Random Distributional Shifts

      By: Kirk Bansak, Elisabeth Paulson and Dominik Rothenhäusler
      Algorithmic assignment of refugees and asylum seekers to locations within host countries has gained attention in recent years, with implementations in the U.S. and Switzerland. These approaches use data on past arrivals to generate machine learning models that can... View Details
      Keywords: AI and Machine Learning; Refugees; Employment
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      Bansak, Kirk, Elisabeth Paulson, and Dominik Rothenhäusler. "Learning Under Random Distributional Shifts." Proceedings of the International Conference on Artificial Intelligence and Statistics (AISTATS) 27th (2024).
      • September 2024
      • Article

      The Human Side of the Future of Work: Understanding the Role People Play in Shaping a Changing World

      By: Jochen I. Menges, Lauren C. Howe, Erika Hall, Jon M. Jachimowicz, Sharon K. Parker, Riki Takeuchi, Abhijeet K. Vadera, Ashley Whillans and Susan K. Cohen
      For as long as there has been work, there has been a “future of work,” through humans’ ingenuity and drive to get things done easier, faster, and better. With the industrial revolution, efforts to shape a better future of work were dominated by improvements in... View Details
      Keywords: Change; Labor
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      Menges, Jochen I., Lauren C. Howe, Erika Hall, Jon M. Jachimowicz, Sharon K. Parker, Riki Takeuchi, Abhijeet K. Vadera, Ashley Whillans, and Susan K. Cohen. "The Human Side of the Future of Work: Understanding the Role People Play in Shaping a Changing World." Academy of Management Discoveries 10, no. 3 (September 2024): 307–318.
      • August 2024
      • Case

      The Walt Disney Company: Management Guidance

      By: Joseph Pacelli and James Weber
      In November 2023, financial analyst Aurora Fee was forecasting The Walt Disney Company’s earnings and stock price, with the goal of providing an investment recommendation to her clients. Disney, one of the world’s largest media and entertainment companies, had just... View Details
      Keywords: Valuation; Accounting; Investment; Communication; Forecasting and Prediction; Business Earnings; Growth and Development Strategy; Entertainment and Recreation Industry; Entertainment and Recreation Industry; United States
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      Pacelli, Joseph, and James Weber. "The Walt Disney Company: Management Guidance." Harvard Business School Case 125-027, August 2024.
      • August 2024 (Revised November 2024)
      • Case

      No Labels and the 2024 Presidential Insurance Plan

      By: Robert F. White and Tom Quinn
      After observing record voter dissatisfaction with the choices in the 2024 U.S. presidential election—Democratic nominee President Joe Biden and Republican nominee and former President Donald Trump—the bipartisan nonprofit No Labels decided to reserve ballot access in... View Details
      Keywords: Disruption; Forecasting and Prediction; Lawsuits and Litigation; Failure; System Shocks; Political Elections; Motivation and Incentives; Governing Rules, Regulations, and Reforms; United States
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      White, Robert F., and Tom Quinn. "No Labels and the 2024 Presidential Insurance Plan." Harvard Business School Case 825-044, August 2024. (Revised November 2024.)
      • July 2024 (Revised September 2024)
      • Case

      Shell’s Balancing Act: Resource Allocation and the Green Transition (Abridged)

      By: David Collis and Haisley Wert
      In mid-2023, amid pressure from climate change activists, shareholder activists, and confronting enormous uncertainty about the future demand for and price of fossil fuels, new Shell CEO Wael Sawan (Harvard MBA 2003) announced a change in strategy for the U.K. oil... View Details
      Keywords: Oil & Gas; Renewables; Forecasting Demand; Strategy; Energy; Climate Change; Resource Allocation; Corporate Strategy; Investment Activism; Organizational Change and Adaptation; Organizational Culture; Energy Industry
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      Collis, David, and Haisley Wert. "Shell’s Balancing Act: Resource Allocation and the Green Transition (Abridged)." Harvard Business School Case 725-354, July 2024. (Revised September 2024.)
      • July 2024
      • Case

      Jacqueline Cook at Vendasta: Debating an IPO

      By: Reza Satchu, Tom Quinn and Andrew Kosc
      In May 2021, after a surge in demand for digital services that prompted high valuations for startups across the Canadian tech sector, Saskatchewan-based Vendasta entered the final stages of the initial public offering (IPO) process. COO Jacqueline Cook had invested her... View Details
      Keywords: Business Growth and Maturation; Business Startups; Interpersonal Communication; Cost vs Benefits; Forecasting and Prediction; Business Cycles; Entrepreneurship; Fairness; Capital Markets; Private Equity; Investment Banking; Stock Options; Financial Markets; Initial Public Offering; Institutional Investing; Price Bubble; Digital Platforms; Digital Transformation; Internet and the Web; Leadership; Growth and Development Strategy; Managerial Roles; Agreements and Arrangements; Going Public; Ownership Stake; Performance Expectations; Work-Life Balance; Strategic Planning; Business and Stakeholder Relations; Rank and Position; Risk and Uncertainty; Opportunities; Happiness; Reputation; Status and Position; Well-being; Information Technology Industry; Retail Industry; Canada
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      Satchu, Reza, Tom Quinn, and Andrew Kosc. "Jacqueline Cook at Vendasta: Debating an IPO." Harvard Business School Case 825-037, July 2024.
      • July 2024
      • Article

      Chatbots and Mental Health: Insights into the Safety of Generative AI

      By: Julian De Freitas, Ahmet Kaan Uğuralp, Zeliha Uğuralp and Stefano Puntoni
      Chatbots are now able to engage in sophisticated conversations with consumers. Due to the ‘black box’ nature of the algorithms, it is impossible to predict in advance how these conversations will unfold. Behavioral research provides little insight into potential safety... View Details
      Keywords: Autonomy; Chatbots; New Technology; Brand Crises; Mental Health; Large Language Model; AI and Machine Learning; Behavior; Well-being; Technological Innovation; Ethics
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      De Freitas, Julian, Ahmet Kaan Uğuralp, Zeliha Uğuralp, and Stefano Puntoni. "Chatbots and Mental Health: Insights into the Safety of Generative AI." Journal of Consumer Psychology 34, no. 3 (July 2024): 481–491.
      • 2024
      • Working Paper

      How Inflation Expectations De-Anchor: The Role of Selective Memory Cues

      By: Nicola Gennaioli, Marta Leva, Raphael Schoenle and Andrei Shleifer
      In a model of memory and selective recall, household inflation expectations remain rigid when inflation is anchored but exhibit sharp instability during inflation surges, as similarity prompts retrieval of forgotten high-inflation experiences. Using data from the New... View Details
      Keywords: Cognition and Thinking; Inflation and Deflation; Personal Finance
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      Gennaioli, Nicola, Marta Leva, Raphael Schoenle, and Andrei Shleifer. "How Inflation Expectations De-Anchor: The Role of Selective Memory Cues." NBER Working Paper Series, No. 32633, June 2024.
      • June 2024
      • Teaching Note

      Roku 2021

      By: David B. Yoffie
      Teaching Note for HBS Case No. 721-480. This case is used to explore the strategic concept of "look forward, reason back." Roku in 2021 is trying to figure out the future of television and streaming media. Students are asked to provide a vision for television and... View Details
      Keywords: Technology; Television Entertainment; Forecasting and Prediction; Decision Choices and Conditions; Strategy; Strategic Planning; Organizational Change and Adaptation; Media and Broadcasting Industry
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      Yoffie, David B. "Roku 2021." Harvard Business School Teaching Note 724-497, June 2024.
      • June 2024
      • Case

      Vinalhaven: The Downtown Project

      By: Richard S. Ruback, Matthew Preble, Ruth Page and Dave Habeeb
      Vinalhaven is an island community located approximately 12 miles off the coast of Maine. The island has a year-round population of about 1,300 people as of 2022, with an additional 3,000 people who reside on the island in the summer months. The two largest industries... View Details
      Keywords: Climate Change; Environmental Regulation; Environmental Sustainability; Natural Resources; Natural Environment; Weather; Sustainable Cities; Forecasting and Prediction; Construction; Property; Infrastructure; Capital Budgeting; Projects; Project Finance; Negotiation; United States; Maine
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      Ruback, Richard S., Matthew Preble, Ruth Page, and Dave Habeeb. "Vinalhaven: The Downtown Project." Harvard Business School Multimedia/Video Case 224-735, June 2024.
      • June 2024
      • Supplement

      Zeswitz Music (A)

      By: Richard S. Ruback and Royce Yudkoff
      Pre-Abstract: Instructors should consider the timing of making videos available to students, as they may reveal key case details.
      Abstract: In July of 2013, Randy Shayler (HBS, 2012) acquired Zeswitz Music, a musical instrument rental company based in Reading,... View Details
      Keywords: Customer Focus and Relationships; Business Strategy; Acquisition; Revenue; Marketing; Music Industry; Retail Industry; Pennsylvania
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      Ruback, Richard S., and Royce Yudkoff. "Zeswitz Music (A)." Harvard Business School Multimedia/Video Supplement 224-747, June 2024.
      • June 2024
      • Supplement

      Zeswitz Music (B)

      By: Richard S. Ruback and Royce Yudkoff
      Pre-Abstract: Instructors should consider the timing of making videos available to students, as they may reveal key case details.
      Abstract: In July of 2013, Randy Shayler (HBS, 2012) acquired Zeswitz Music, a musical instrument rental company based in Reading,... View Details
      Keywords: Acquisition; Customer Focus and Relationships; Business Strategy; Revenue; Marketing; Music Industry; Retail Industry
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      Ruback, Richard S., and Royce Yudkoff. "Zeswitz Music (B)." Harvard Business School Multimedia/Video Supplement 224-748, June 2024.
      • 2024
      • Working Paper

      Incrementality Representation Learning: Synergizing Past Experiments for Intervention Personalization

      By: Ta-Wei Huang, Eva Ascarza and Ayelet Israeli
      This paper introduces Incrementality Representation Learning (IRL), a novel multitask representation learning framework that predicts heterogeneous causal effects of marketing interventions. By leveraging past experiments, IRL efficiently designs and targets... View Details
      Keywords: Heterogeneous Treatment Effect; Multi-task Learning; Representation Learning; Personalization; Promotion; Deep Learning; Field Experiments; Customer Focus and Relationships; Customization and Personalization
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      Huang, Ta-Wei, Eva Ascarza, and Ayelet Israeli. "Incrementality Representation Learning: Synergizing Past Experiments for Intervention Personalization." Harvard Business School Working Paper, No. 24-076, June 2024.
      • June 2024
      • Article

      Going Digital: Implications for Firm Value and Performance

      By: Wilbur Chen and Suraj Srinivasan
      We examine firm value and performance implications of the growing trend of non-technology companies engaging in digital transformation. We measure digital activities in firms based on the disclosure of digital words in the business description section of 10-Ks. Digital... View Details
      Keywords: Digital Technologies; Valuation; Return Predictability; Financial Statement Analysis; Performance; Value; Information Technology
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      Chen, Wilbur, and Suraj Srinivasan. "Going Digital: Implications for Firm Value and Performance." Review of Accounting Studies 29, no. 2 (June 2024): 1619–1665.
      • June 2024
      • Article

      The Diversity Heuristic: How Team Demographic Composition Influences Judgments of Team Creativity

      By: Devon Proudfoot, Zachariah Berry, Edward H. Chang and Min B. Kay
      Despite mixed evidence for the relationship between demographic diversity and creativity, we propose that observers hold a lay belief that demographic diversity increases creativity and apply this lay belief in judgments about teams and their creative work. Across... View Details
      Keywords: Diversity; Race; Gender; Groups and Teams; Perception; Creativity
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      Proudfoot, Devon, Zachariah Berry, Edward H. Chang, and Min B. Kay. "The Diversity Heuristic: How Team Demographic Composition Influences Judgments of Team Creativity." Management Science 70, no. 6 (June 2024): 3879–3901.
      • 2024
      • Working Paper

      LASH Risk and Interest Rates

      By: Laura Alfaro, Saleem Bahaj, Robert Czech, Jonathan Hazell and Ioana Neamtu
      We introduce a framework to understand and quantify a form of liquidity risk that we dub Liquidity After Solvency Hedging or “LASH” risk. Financial institutions take LASH risk when they hedge against losses, using strategies that lead to liquidity needs when the value... View Details
      Keywords: Liquidity; Monetary Policy; Non-bank Intermediaries; Hedging; Risk and Uncertainty; Investment Funds; Financial Condition; Interest Rates
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      Alfaro, Laura, Saleem Bahaj, Robert Czech, Jonathan Hazell, and Ioana Neamtu. "LASH Risk and Interest Rates." Bank of England Staff Working Papers, No. 1,073, May 2024. (NBER Working Paper Series, No. 33241, December 2024.)
      • May 2024
      • Article

      Relational Attributions for One’s Own Resilience Predict Compassion for Others

      By: Rachel Ruttan, Ting Zhang, Sivahn Barli and Katherine DeCelles
      Existing work on attribution theory distinguishes between external and internal attributions (i.e., “I overcame adversity due to luck” vs. “my own effort”). We introduce the construct of relational resilience attributions (i.e., “due to help from other people”) as a... View Details
      Keywords: Personal Characteristics; Forecasting and Prediction; Attitudes; Behavior
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      Ruttan, Rachel, Ting Zhang, Sivahn Barli, and Katherine DeCelles. "Relational Attributions for One’s Own Resilience Predict Compassion for Others." Journal of Personality and Social Psychology 126, no. 5 (May 2024): 818–840.
      • 2024
      • Working Paper

      Human-Computer Interactions in Demand Forecasting and Labor Scheduling Decisions

      By: Caleb Kwon, Ananth Raman and Jorge Tamayo
      We investigate whether corporate officers should grant managers discretion to override AI-driven demand forecasts and labor scheduling tools. Analyzing five years of administrative data from a large grocery retailer using such an AI tool, encompassing over 500 stores,... View Details
      Keywords: AI and Machine Learning; Forecasting and Prediction; Working Conditions; Performance Productivity
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      Kwon, Caleb, Ananth Raman, and Jorge Tamayo. "Human-Computer Interactions in Demand Forecasting and Labor Scheduling Decisions." Working Paper, April 2024.
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