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  • All HBS Web  (119)
    • Faculty Publications  (14)

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    • All HBS Web  (119)
      • Faculty Publications  (14)

      Forecast OptimismRemove Forecast Optimism →

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      • 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.
      • 2024
      • Working Paper

      Behavioral Attenuation

      By: Thomas Graeber, Benjamin Enke, Ryan Oprea and Jeffrey Yang
      We report a large-scale examination of behavioral attenuation: due to information-processing constraints, the elasticity of people’s decisions with respect to economic fundamentals is generally too small. We implement more than 30 experiments, 20 of which were... View Details
      Keywords: Decisions; Behavior; Cognition and Thinking; Behavioral Finance
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      Graeber, Thomas, Benjamin Enke, Ryan Oprea, and Jeffrey Yang. "Behavioral Attenuation." NBER Working Paper Series, No. 32973, September 2024.
      • March 2024 (Revised January 2025)
      • Case

      Hippo: Weathering the Storm of the Home Insurance Crisis

      By: Lauren Cohen, Grace Headinger and Sophia Pan
      Rick McCathron, CEO of Hippo, considered how the firm’s underwriting model could account for the effects of climate change. Along with providing smart home packages, targeting risk-friendly customers, and using data-driven pricing, the Insurtech used technologically... View Details
      Keywords: Fintech; Underwriters; Big Data; Insurance Companies; Business Model Design; Weather Insurance; Business Model; Forecasting and Prediction; Climate Change; Environmental Sustainability; Green Technology; Technological Innovation; Natural Environment; Natural Disasters; Weather; Business Strategy; Competitive Advantage; Business Earnings; Insurance; Social Issues; Insurance Industry; United States; California
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      Cohen, Lauren, Grace Headinger, and Sophia Pan. "Hippo: Weathering the Storm of the Home Insurance Crisis." Harvard Business School Case 224-080, March 2024. (Revised January 2025.)
      • 2023
      • Working Paper

      The Optimal Stock Valuation Ratio

      By: Sebastian Hillenbrand and Odhrain McCarthy
      Trailing price ratios, such as the price-dividend and the price-earnings ratio, scale prices by trailing cash flow measures. They theoretically contain expected returns, yet, their performance in predicting stock market returns is poor. This is because of an omitted... View Details
      Keywords: Price; Investment Return; AI and Machine Learning; Valuation; Cash Flow; Forecasting and Prediction
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      Hillenbrand, Sebastian, and Odhrain McCarthy. "The Optimal Stock Valuation Ratio." Working Paper, November 2023.
      • March 2022
      • Article

      Where to Locate COVID-19 Mass Vaccination Facilities?

      By: Dimitris Bertsimas, Vassilis Digalakis Jr, Alexander Jacquillat, Michael Lingzhi Li and Alessandro Previero
      The outbreak of COVID-19 led to a record-breaking race to develop a vaccine. However, the limited vaccine capacity creates another massive challenge: how to distribute vaccines to mitigate the near-end impact of the pandemic? In the United States in particular, the new... View Details
      Keywords: Vaccines; COVID-19; Health Care and Treatment; Health Pandemics; Performance Effectiveness; Analytics and Data Science; Mathematical Methods
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      Bertsimas, Dimitris, Vassilis Digalakis Jr, Alexander Jacquillat, Michael Lingzhi Li, and Alessandro Previero. "Where to Locate COVID-19 Mass Vaccination Facilities?" Naval Research Logistics Quarterly 69, no. 2 (March 2022): 179–200.
      • June 2021
      • Article

      From Predictions to Prescriptions: A Data-driven Response to COVID-19

      By: Dimitris Bertsimas, Léonard Boussioux, Ryan Cory-Wright, Arthur Delarue, Vassilis Digalakis Jr, Alexander Jacquillat, Driss Lahlou Kitane, Galit Lukin, Michael Lingzhi Li, Luca Mingardi, Omid Nohadani, Agni Orfanoudaki, Theodore Papalexopoulos, Ivan Paskov, Jean Pauphilet, Omar Skali Lami, Bartolomeo Stellato, Hamza Tazi Bouardi, Kimberly Villalobos Carballo, Holly Wiberg and Cynthia Zeng
      The COVID-19 pandemic has created unprecedented challenges worldwide. Strained healthcare providers make difficult decisions on patient triage, treatment and care management on a daily basis. Policy makers have imposed social distancing measures to slow the disease, at... View Details
      Keywords: COVID-19; Health Pandemics; AI and Machine Learning; Forecasting and Prediction; Analytics and Data Science
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      Bertsimas, Dimitris, Léonard Boussioux, Ryan Cory-Wright, Arthur Delarue, Vassilis Digalakis Jr, Alexander Jacquillat, Driss Lahlou Kitane, Galit Lukin, Michael Lingzhi Li, Luca Mingardi, Omid Nohadani, Agni Orfanoudaki, Theodore Papalexopoulos, Ivan Paskov, Jean Pauphilet, Omar Skali Lami, Bartolomeo Stellato, Hamza Tazi Bouardi, Kimberly Villalobos Carballo, Holly Wiberg, and Cynthia Zeng. "From Predictions to Prescriptions: A Data-driven Response to COVID-19." Health Care Management Science 24, no. 2 (June 2021): 253–272.
      • 2025
      • Working Paper

      Government-Brokerage Analysts and Market Stabilization: Evidence from China

      By: Sheng Cao, Xianjie He, Charles C.Y. Wang and Huifang Yin
      We show analysts at government-controlled brokerage firms serve as a market stabilization tool in China. Using earnings forecasts from 2005–2019, we find government-brokerage analysts issue relatively more optimistic—yet less accurate and timely—forecasts during... View Details
      Keywords: Sell-side Analysts; Forecast Optimism; Forecast Accuracy; Government Incentives; Market Stabilization; Government Ownership; Coordinated Economies; Stocks; Forecasting and Prediction; Business and Government Relations; Emerging Markets
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      Cao, Sheng, Xianjie He, Charles C.Y. Wang, and Huifang Yin. "Government-Brokerage Analysts and Market Stabilization: Evidence from China." Harvard Business School Working Paper, No. 18-095, March 2018. (Revised March 2025.)
      • March 2017 (Revised March 2022)
      • Case

      Flashion: Art vs. Science in Fashion Retailing

      By: Kris Ferreira and Karim R. Lakhani
      Kate Wilson, retail analytics manager at Flashion, a fashion flash-sale site, is tasked with developing analytics to optimize pricing for first-exposure products on the site. Many in the industry have relied on years of experience and intuition to determine pricing—can... View Details
      Keywords: Analytics; Pricing; Data; Service Operations; Forecasting and Prediction; Internet and the Web; Technology Adoption; Mathematical Methods; Decision Making; E-commerce; Retail Industry; Fashion Industry; United States
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      Ferreira, Kris, and Karim R. Lakhani. "Flashion: Art vs. Science in Fashion Retailing." Harvard Business School Case 617-059, March 2017. (Revised March 2022.)
      • Winter 2016
      • Article

      Analytics for an Online Retailer: Demand Forecasting and Price Optimization

      By: Kris J. Ferreira, Bin Hong Alex Lee and David Simchi-Levi
      We present our work with an online retailer, Rue La La, as an example of how a retailer can use its wealth of data to optimize pricing decisions on a daily basis. Rue La La is in the online fashion sample sales industry, where they offer extremely limited-time... View Details
      Keywords: Internet and the Web; Price; Forecasting and Prediction; Revenue; Sales; Retail Industry
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      Ferreira, Kris J., Bin Hong Alex Lee, and David Simchi-Levi. "Analytics for an Online Retailer: Demand Forecasting and Price Optimization." Manufacturing & Service Operations Management 18, no. 1 (Winter 2016): 69–88.
      • October 2013
      • Article

      How Much to Make and How Much to Buy? An Analysis of Optimal Plural Sourcing Strategies

      By: Phanish Puranam, Ranjay Gulati and Sourav Bhattacharya
      While many theories of the firm seek to explain when firms make rather than buy, in practice, firms often make and buy the same input—they engage in plural sourcing. We argue that explaining the mix of external procurement and internal sourcing for the same input... View Details
      Keywords: Supply Chain; Forecasting and Prediction; Framework; Prejudice and Bias; Mathematical Methods
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      Puranam, Phanish, Ranjay Gulati, and Sourav Bhattacharya. "How Much to Make and How Much to Buy? An Analysis of Optimal Plural Sourcing Strategies." Strategic Management Journal 34, no. 10 (October 2013): 1145–1161.
      • 2012
      • Working Paper

      ~Why Do We Redistribute so Much but Tag so Little? Normative Diversity, Equal Sacrifice and Optimal Taxation

      By: Matthew Weinzierl
      Tagging is a free lunch in conventional optimal tax theory because it eases the classic tradeoff between efficiency and equality. But tagging is used in only limited ways in tax policy. I propose one explanation: conventional optimal tax theory has yet to capture the... View Details
      Keywords: Forecasting and Prediction; Cost; Framework; Policy; Taxation; Analytics and Data Science; Performance Efficiency; United States
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      Weinzierl, Matthew. "~Why Do We Redistribute so Much but Tag so Little? Normative Diversity, Equal Sacrifice and Optimal Taxation." Harvard Business School Working Paper, No. 12-064, January 2012. (Revised August 2012. NBER Working Paper Series, No. 18045, August 2012)
      • April 2010
      • Case

      Metabical: Pricing, Packaging, and Demand Forecasting Recommendations for a New Weight Loss Drug

      By: John A. Quelch and Heather Beckham
      Metabical is a new weight loss drug from Cambridge Sciences Pharmaceuticals intended for moderately overweight individuals. In anticipation of final FDA approval, the senior director of marketing, Barbara Printup, prepares for the product launch and must make several... View Details
      Keywords: Return On Investment; Forecasting; Pricing Policies; Demand Planning; Marketing Strategy; Price; Consumer Behavior; Investment Return; Forecasting and Prediction; Product Launch; Planning; Brands and Branding; Pharmaceutical Industry
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      Quelch, John A., and Heather Beckham. "Metabical: Pricing, Packaging, and Demand Forecasting Recommendations for a New Weight Loss Drug." Harvard Business School Brief Case 104-183, April 2010.
      • 01 Jan 1977
      • Conference Presentation

      Short Term Natural Gas Consumption Forecasts: Optimal Use of National Weather Service Data

      By: James K. Sebenius and Richard Lehman
      Keywords: Forecasting and Prediction; Research; Business and Government Relations; Energy Industry
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      Sebenius, James K., and Richard Lehman. "Short Term Natural Gas Consumption Forecasts: Optimal Use of National Weather Service Data." Paper presented at the American Geophysical Union Annual Meeting, American Geophysical Union, January 01, 1977.
      • Teaching Interest

      Executive Education: Finance for Senior Executives

      By: Malcolm P. Baker

      Finance for Senior Executives provides the frameworks to strategically use financial resources and position your company for future success. By examining corporate finance from both internal and external perspectives, this HBS Executive Education View Details

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