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    • All HBS Web  (111)
      • Faculty Publications  (15)

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      • February 2025
      • Tutorial

      Preparing Business Leaders for an Era of Climate Instability: Understanding and Managing Physical Climate Risk

      By: Michael W. Toffel and Spencer Glendon
      In this compelling video, Spencer Glendon, founder of Probable Futures and Executive Fellow at Harvard Business School, describes the profound implications of climate change for businesses, the economy, and societies around the world. Drawing from his background in... View Details
      Keywords: Modeling; Climate Change; Adaptation; Risk and Uncertainty; Risk Management; Forecasting and Prediction
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      Toffel, Michael W., and Spencer Glendon. Preparing Business Leaders for an Era of Climate Instability: Understanding and Managing Physical Climate Risk. Harvard Business School Tutorial 625-709, February 2025. (Click here for HBP Educators link.)
      • October 2024
      • Article

      Canary Categories

      By: Eric Anderson, Chaoqun Chen, Ayelet Israeli and Duncan Simester
      Past customer spending in a category is generally a positive signal of future customer spending. We show that there exist “canary categories” for which the reverse is true. Purchases in these categories are a signal that customers are less likely to return to that... View Details
      Keywords: Churn; Churn Management; Churn/retention; Assortment Planning; Retail; Retailing; Retailing Industry; Preference Heterogeneity; Assortment Optimization; Customers; Retention; Consumer Behavior; Forecasting and Prediction; Retail Industry
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      Anderson, Eric, Chaoqun Chen, Ayelet Israeli, and Duncan Simester. "Canary Categories." Journal of Marketing Research (JMR) 61, no. 5 (October 2024): 872–890.
      • April 2022
      • Article

      Predictable Financial Crises

      By: Robin Greenwood, Samuel G. Hanson, Andrei Shleifer and Jakob Ahm Sørensen
      Using historical data on post-war financial crises around the world, we show that crises are substantially predictable. The combination of rapid credit and asset price growth over the prior three years, whether in the nonfinancial business or the household sector, is... View Details
      Keywords: Financial Crisis; Global Range; Forecasting and Prediction; Mathematical Methods
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      Greenwood, Robin, Samuel G. Hanson, Andrei Shleifer, and Jakob Ahm Sørensen. "Predictable Financial Crises." Journal of Finance 77, no. 2 (April 2022): 863–921.
      • January 2021
      • Case

      The FIRE Savings Calculator

      By: Michael Parzen and Paul Hamilton
      This case follows Carol Muñoz, a member of the Financial Independence, Retire Early (FIRE) lifestyle movement. At the age of 45, Carol is considering retiring and living off the $1 million she has accumulated. Using Monte Carlo simulation, Carol forecasts the... View Details
      Keywords: Analysis; Forecasting and Prediction; Financial Strategy; Investment Portfolio; Investment Return; Personal Finance; Saving; Risk and Uncertainty; Diversification; Theory; Personal Development and Career; Financial Services Industry
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      Parzen, Michael, and Paul Hamilton. "The FIRE Savings Calculator." Harvard Business School Case 621-087, January 2021.
      • Article

      Towards Robust and Reliable Algorithmic Recourse

      By: Sohini Upadhyay, Shalmali Joshi and Himabindu Lakkaraju
      As predictive models are increasingly being deployed in high-stakes decision making (e.g., loan approvals), there has been growing interest in post-hoc techniques which provide recourse to affected individuals. These techniques generate recourses under the assumption... View Details
      Keywords: Machine Learning Models; Algorithmic Recourse; Decision Making; Forecasting and Prediction
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      Upadhyay, Sohini, Shalmali Joshi, and Himabindu Lakkaraju. "Towards Robust and Reliable Algorithmic Recourse." Advances in Neural Information Processing Systems (NeurIPS) 34 (2021).
      • January 2019
      • Article

      Bubbles for Fama

      By: Robin Greenwood, Andrei Shleifer and Yang You
      We evaluate Eugene Fama's claim that stock prices do not exhibit price bubbles. Based on U.S. industry returns 1926–2014 and international sector returns 1985–2014, we present four findings: (1) Fama is correct in that a sharp price increase of an industry portfolio... View Details
      Keywords: Bubble; Market Efficiency; Predictability; Price Bubble; Stocks; Price; Forecasting and Prediction
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      Greenwood, Robin, Andrei Shleifer, and Yang You. "Bubbles for Fama." Journal of Financial Economics 131, no. 1 (January 2019): 20–43. (Internet Appendix Here.)
      • August 2018
      • Case

      BlackBuck (A)

      By: Shikhar Ghosh and Shweta Bagai
      The case presents the challenges of scaling an asset-heavy company (that relies on its operations). It highlights how decisions on the early team impact a company’s ability to scale, linkage between growth and cash flows, as well the organizational impact of high... View Details
      Keywords: Founders; Entrepreneurship; Growth and Development Strategy; Service Delivery; Cash Flow; Growth Management; Truck Transportation; Online Technology; India
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      Ghosh, Shikhar, and Shweta Bagai. "BlackBuck (A)." Harvard Business School Case 819-031, August 2018.
      • 2015
      • Working Paper

      The Probability of Rare Disasters: Estimation and Implications

      By: Emil Siriwardane
      I analyze a rare disasters economy that yields a measure of the risk neutral probability of a macroeconomic disaster, p*t. A large panel of options data provides strong evidence that p*t is the single factor driving option-implied jump risk measures in the cross... View Details
      Keywords: Financial Markets; Forecasting and Prediction; Financial Crisis; Macroeconomics
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      Siriwardane, Emil. "The Probability of Rare Disasters: Estimation and Implications." Harvard Business School Working Paper, No. 16-061, November 2015.
      • 2011
      • Article

      A Choice Prediction Competition for Social Preferences in Simple Extensive Form Games: An Introduction

      By: Eyal Ert, Ido Erev and Alvin E. Roth
      Two independent, but related, choice prediction competitions are organized that focus on behavior in simple two-person extensive form games: one focuses on predicting the choices of the first mover and the other on predicting the choices of the second mover. The... View Details
      Keywords: Forecasting and Prediction; Behavior; Decision Choices and Conditions; Competition; Motivation and Incentives; Game Theory; Fairness
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      Ert, Eyal, Ido Erev, and Alvin E. Roth. "A Choice Prediction Competition for Social Preferences in Simple Extensive Form Games: An Introduction." Special Issue on Predicting Behavior in Games. Games 2, no. 3 (September 2011): 257–276.
      • January 2011
      • Article

      Good Intentions, Optimistic Self-Predictions, and Missed Opportunities

      By: Derek Koehler, Rebecca White and Leslie K. John
      Self-predictions are highly sensitive to current intentions but often largely insensitive to factors influencing the readiness with which those intentions are translated into future behavior. When such factors are under a person's control, they could be used to... View Details
      Keywords: Planning; Saving; Behavior; Forecasting and Prediction
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      Koehler, Derek, Rebecca White, and Leslie K. John. "Good Intentions, Optimistic Self-Predictions, and Missed Opportunities." Social Psychological & Personality Science 2, no. 1 (January 2011): 90–96.
      • 2010
      • Working Paper

      Valuation When Cash Flow Forecasts Are Biased

      By: Richard S. Ruback
      This paper focuses adaptations to the discount cash flow (DCF) method when valuing forecasted cash flows that are biased measures of expected cash flows. I imagine a simple setting where the expected cash flows equal the forecasted cash flows plus an omitted downside.... View Details
      Keywords: Forecasting and Prediction; Cash Flow; Cost of Capital; Performance Expectations; Prejudice and Bias; Valuation
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      Ruback, Richard S. "Valuation When Cash Flow Forecasts Are Biased." Harvard Business School Working Paper, No. 11-036, October 2010.
      • June 2009
      • Article

      Highbrow Films Gather Dust: Time-inconsistent Preferences and Online DVD Rentals

      By: Katherine L. Milkman, Todd Rogers and Max H. Bazerman
      We report on a field study demonstrating systematic differences between the preferences people anticipate they will have over a series of options in the future and their subsequent revealed preferences over those options. Using a novel panel data set, we analyze the... View Details
      Keywords: Decision Choices and Conditions; Forecasting and Prediction; Film Entertainment; Demand and Consumers; Renting or Rental; Power and Influence; Prejudice and Bias; Online Technology; Motion Pictures and Video Industry
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      Milkman, Katherine L., Todd Rogers, and Max H. Bazerman. "Highbrow Films Gather Dust: Time-inconsistent Preferences and Online DVD Rentals." Management Science 55, no. 6 (June 2009): 1047–1059.
      • January 2001 (Revised July 2003)
      • Case

      Pharmacyclics: Financing Research & Development

      By: Malcolm P. Baker, Richard S. Ruback and Aldo Sesia
      Pharmacyclics (NASDAQ: PCYC), a pharmaceutical company that manufactures products that will improve existing therapeutic treatments for cancer, arteriosclerosis, and retinal disease, was considering a $60 million private placement in February 2000. The company had more... View Details
      Keywords: Valuation; Cash Flow; Financing and Loans; Business Startups; Financial Strategy; Medical Devices and Supplies Industry; Pharmaceutical Industry; Health Industry
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      Baker, Malcolm P., Richard S. Ruback, and Aldo Sesia. "Pharmacyclics: Financing Research & Development." Harvard Business School Case 201-056, January 2001. (Revised July 2003.)
      • Forthcoming
      • Article

      An AI Method to Score Celebrity Visual Potential from Human Faces

      By: Flora Feng, Shunyuan Zhang, Xiao Liu, Kannan Srinivasan and Cait Lamberton
      It has long been a mantra of marketing practice that, particularly in low-involvement situations, spokespeople should be physically attractive. This paper suggests there is a higher probability of gaining fame and influence (i.e., celebrity potential) than is captured... View Details
      Keywords: Personal Characteristics; AI and Machine Learning; Forecasting and Prediction; Marketing
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      Feng, Flora, Shunyuan Zhang, Xiao Liu, Kannan Srinivasan, and Cait Lamberton. "An AI Method to Score Celebrity Visual Potential from Human Faces." Journal of Marketing Research (JMR) (forthcoming).
      • Teaching Interest

      Decision Making Under Uncertainty

      By: David E. Bell

      Many of the decisions we face are made complicated by having uncertain consequences: how should I set my inventory when I don’t know what demand will be, should I refinance my mortgage when rates might go lower, how big a bet shall I make in a new business, and so... View Details

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