Skip to Main Content
HBS Home
  • About
  • Academic Programs
  • Alumni
  • Faculty & Research
  • Baker Library
  • Giving
  • Harvard Business Review
  • Initiatives
  • News
  • Recruit
  • Map / Directions
Faculty & Research
  • Faculty
  • Research
  • Featured Topics
  • Academic Units
  • …→
  • Harvard Business School→
  • Faculty & Research→
  • Research
    • Research
    • Publications
    • Global Research Centers
    • Case Development
    • Initiatives & Projects
    • Research Services
    • Seminars & Conferences
    →
  • Publications→

Publications

Publications

Filter Results: (100) Arrow Down
Filter Results: (100) Arrow Down Arrow Up

Show Results For

  • All HBS Web  (389)
    • Faculty Publications  (100)

    Show Results For

    • All HBS Web  (389)
      • Faculty Publications  (100)

      Forecasting ModelsRemove Forecasting Models →

      Page 1 of 100 Results →

      Are you looking for?

      →Search All HBS Web
      • 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
      Citation
      Purchase
      Related
      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.)
      • January 2025
      • Supplement

      Hippo: Weathering the Storm of the Home Insurance Crisis (B)

      By: Lauren Cohen, Grace Headinger and Sophia Pan
      Rick McCathron, CEO of Hippo, was optimistic about the InsurTech's path to profitability after navigating the financial uncertainties of 2022. By bundling their home insurance services with third-parties and established insurance incumbents, Hippo was adopting a... View Details
      Keywords: Fintech; Underwriters; Big Data; Homeowners' Insurance; Catastrophe Risk; Global Warming; Environment; Business Economics; Vertical Specialization; Bundling; Economies Of Scale; 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; Profit; Growth and Development Strategy; Insurance Industry; California; United States
      Citation
      Related
      Cohen, Lauren, Grace Headinger, and Sophia Pan. "Hippo: Weathering the Storm of the Home Insurance Crisis (B)." Harvard Business School Supplement 225-051, January 2025.
      • January 2025
      • Case

      AI Meets VC: The Data-Driven Revolution at Quantum Light Capital

      By: Lauren Cohen, Grace Headinger and Sophia Pan
      Ilya Kondrashov, CEO of Quantum Light Capital, was driven to harness AI for identifying high-potential scale-ups. Collaborating with Nik Storonsky, founder of Revolut, the duo observed that most venture capital (VC) decisions were heavily influenced by emotion, with... View Details
      Keywords: Artificial Intelligence; Business Finance; Data Analysis; Angel Investors; Cognitive Biases; Scale; Venture Capital; Investment; Business Model; Forecasting and Prediction; Technological Innovation; Innovation Strategy; Behavior; Cognition and Thinking; Public Opinion; Private Sector; Business Strategy; Competitive Advantage; Business Earnings; Behavioral Finance; AI and Machine Learning; Analytics and Data Science; Business Startups; Financial Services Industry; London; United Kingdom
      Citation
      Educators
      Purchase
      Related
      Cohen, Lauren, Grace Headinger, and Sophia Pan. "AI Meets VC: The Data-Driven Revolution at Quantum Light Capital." Harvard Business School Case 225-053, January 2025.
      • November 2024
      • Article

      Perceptions About Monetary Policy

      By: Michael D. Bauer, Carolin Pflueger and Adi Sunderam
      We estimate perceptions about the Federal Reserve’s monetary policy rule from panel data on professional forecasts of interest rates and macroeconomic conditions. The perceived dependence of the federal funds rate on economic conditions varies substantially over time,... View Details
      Keywords: Monetary Policy; Policy; Interest Rates; Perception; Economy; Forecasting and Prediction
      Citation
      Find at Harvard
      Read Now
      Purchase
      Related
      Bauer, Michael D., Carolin Pflueger, and Adi Sunderam. "Perceptions About Monetary Policy." Quarterly Journal of Economics 139, no. 4 (November 2024): 2227–2278.
      • 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
      Citation
      Find at Harvard
      Purchase
      Related
      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

      Pitfalls of Demographic Forecasts of U.S. Elections

      By: Richard Calvo, Vincent Pons and Jesse M. Shapiro
      Many observers have forecast large partisan shifts in the US electorate based on demographic trends. Such forecasts are appealing because demographic trends are often predictable even over long horizons. We backtest demographic forecasts using data on US elections... View Details
      Keywords: Mathematical Methods; Voting; Political Elections; Trends; Forecasting and Prediction; Demographics
      Citation
      Find at Harvard
      Register to Read
      Related
      Calvo, Richard, Vincent Pons, and Jesse M. Shapiro. "Pitfalls of Demographic Forecasts of U.S. Elections." NBER Working Paper Series, No. 33016, October 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
      Citation
      Educators
      Related
      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.)
      • February 2024
      • Teaching Note

      AB InBev: Brewing Up Forecasts during COVID-19

      By: Mark Egan and C. Fritz Foley
      Teaching Note for HBS Case No. 224-020. In July 2021, the CEO of AB InBev's European operations and his team strategized to position the company for success post-pandemic. As the world's largest beer company, boasting over 500 brands, revenue of $46 billion, and a... View Details
      Keywords: Forecasting; Investor Relations; Beverage Industry; Corporate Finance; Decisions; Forecasting and Prediction; Health Pandemics; Analytics and Data Science; Digital Transformation; Crisis Management; Business Model; Food and Beverage Industry; United States; Europe
      Citation
      Purchase
      Related
      Egan, Mark, and C. Fritz Foley. "AB InBev: Brewing Up Forecasts during COVID-19." Harvard Business School Teaching Note 224-074, February 2024.
      • 2023
      • Working Paper

      'De Gustibus' and Disputes about Reference Dependence

      By: Thomas Graeber, Pol Campos-Mercade, Lorenz Goette, Alexandre Kellogg and Charles Sprenger
      Existing tests of reference-dependent preferences assume universal loss aversion. This paper examines the implications of heterogeneity in gain-loss attitudes for such tests. In experiments on labor supply and exchange behavior we measure gain-loss attitudes and then... View Details
      Keywords: Behavioral Economics; Decision Choices and Conditions; Forecasting and Prediction
      Citation
      Read Now
      Related
      Graeber, Thomas, Pol Campos-Mercade, Lorenz Goette, Alexandre Kellogg, and Charles Sprenger. "'De Gustibus' and Disputes about Reference Dependence." Harvard Business School Working Paper, No. 24-046, January 2024.
      • January 2024
      • Supplement

      Winning Business at Russell Reynolds

      By: Ethan Bernstein and Cara Mazzucco
      In an effort to make compensation drive collaboration, Russell Reynolds Associates’ (RRA) CEO Clarke Murphy sought to re-engineer the bonus system for his executive search consultants in 2016. As his HR analytics guru, Kelly Smith, points out, that risks upsetting—and... View Details
      Keywords: Restructuring; Talent and Talent Management; Compensation and Benefits; Growth and Development Strategy; Organizational Change and Adaptation; Organizational Culture; Performance Evaluation; Motivation and Incentives; Consulting Industry
      Citation
      Purchase
      Related
      Bernstein, Ethan, and Cara Mazzucco. "Winning Business at Russell Reynolds." Harvard Business School Multimedia/Video Supplement 424-704, January 2024.
      • October 2023
      • Article

      Improving Regulatory Effectiveness Through Better Targeting: Evidence from OSHA

      By: Matthew S. Johnson, David I. Levine and Michael W. Toffel
      We study how a regulator can best target inspections. Our case study is a U.S. Occupational Safety and Health Administration (OSHA) program that randomly allocated some inspections. On average, each inspection averted 2.4 serious injuries (9%) over the next five years.... View Details
      Keywords: Safety Regulations; Regulations; Regulatory Enforcement; Machine Learning Models; Safety; Operations; Service Operations; Production; Forecasting and Prediction; Decisions; United States
      Citation
      Find at Harvard
      Read Now
      Related
      Johnson, Matthew S., David I. Levine, and Michael W. Toffel. "Improving Regulatory Effectiveness Through Better Targeting: Evidence from OSHA." American Economic Journal: Applied Economics 15, no. 4 (October 2023): 30–67. (Profiled in the Regulatory Review.)
      • September 2023 (Revised October 2024)
      • Case

      Forecasting Climate Risks: Aviva’s Climate Calculus

      By: Mark Egan and Peter Tufano
      In late 2021, Ben Carr, Director of Analytics and Capital Modeling at Aviva Plc (Aviva)—a leading insurer with core operations in the UK, Ireland and Canada,—was preparing for an upcoming presentation before the company's board which included its CEO, Amanda Blanc,... View Details
      Keywords: Climate Risk; Climate Finance; Forecasting; Insurance; Risk Measurement; Climate Change; Risk Management; Forecasting and Prediction; Insurance Industry; United States
      Citation
      Educators
      Purchase
      Related
      Egan, Mark, and Peter Tufano. "Forecasting Climate Risks: Aviva’s Climate Calculus." Harvard Business School Case 224-025, September 2023. (Revised October 2024.)
      • 2023
      • Article

      On the Impact of Actionable Explanations on Social Segregation

      By: Ruijiang Gao and Himabindu Lakkaraju
      As predictive models seep into several real-world applications, it has become critical to ensure that individuals who are negatively impacted by the outcomes of these models are provided with a means for recourse. To this end, there has been a growing body of research... View Details
      Keywords: Forecasting and Prediction; AI and Machine Learning; Outcome or Result
      Citation
      Read Now
      Related
      Gao, Ruijiang, and Himabindu Lakkaraju. "On the Impact of Actionable Explanations on Social Segregation." Proceedings of the International Conference on Machine Learning (ICML) 40th (2023): 10727–10743.
      • July 2023
      • Article

      Takahashi-Alexander Revisited: Modeling Private Equity Portfolio Outcomes Using Historical Simulations

      By: Dawson Beutler, Alex Billias, Sam Holt, Josh Lerner and TzuHwan Seet
      In 2001, Dean Takahashi and Seth Alexander of the Yale University Investments Office developed a deterministic model for estimating future cash flows and valuations for the Yale endowment’s private equity portfolio. Their model, which is simple and intuitive, is still... View Details
      Keywords: Forecasting and Prediction; Investment Portfolio; Analytics and Data Science
      Citation
      Purchase
      Related
      Beutler, Dawson, Alex Billias, Sam Holt, Josh Lerner, and TzuHwan Seet. "Takahashi-Alexander Revisited: Modeling Private Equity Portfolio Outcomes Using Historical Simulations." Journal of Portfolio Management 49, no. 7 (July 2023): 144–158.
      • June 2023 (Revised April 2025)
      • Case

      Optimalen Capital

      By: Malcolm Baker, Elisabeth Kempf and Jonathan Wallen
      A new client portfolio manager at a quantitative investment management firm must explain why her firm, Optimalen Capital, has rebalanced a client portfolio with a set of trades that seem unintuitive. In particular, Optimalen has added to its position of Walmart (ticker... View Details
      Keywords: Investments; CAPM; Capital Asset Pricing Model; Investment Portfolio; Asset Pricing
      Citation
      Educators
      Purchase
      Related
      Baker, Malcolm, Elisabeth Kempf, and Jonathan Wallen. "Optimalen Capital." Harvard Business School Case 223-099, June 2023. (Revised April 2025.)
      • 2023
      • Working Paper

      Evaluation and Learning in R&D Investment

      By: Alexander P. Frankel, Joshua L. Krieger, Danielle Li and Dimitris Papanikolaou
      We examine the role of spillover learning in shaping the value of exploratory versus incremental R&D. Using data from drug development, we show that novel drug candidates generate more knowledge spillovers than incremental ones. Despite being less likely to reach... View Details
      Keywords: Research and Development; Forecasting and Prediction; Valuation; Pharmaceutical Industry
      Citation
      Read Now
      Purchase
      Related
      Frankel, Alexander P., Joshua L. Krieger, Danielle Li, and Dimitris Papanikolaou. "Evaluation and Learning in R&D Investment." Harvard Business School Working Paper, No. 23-074, May 2023. (NBER Working Paper Series, No. 31290, May 2023.)
      • April 12, 2023
      • Article

      Using AI to Adjust Your Marketing and Sales in a Volatile World

      By: Das Narayandas and Arijit Sengupta
      Why are some firms better and faster than others at adapting their use of customer data to respond to changing or uncertain marketing conditions? A common thread across faster-acting firms is the use of AI models to predict outcomes at various stages of the customer... View Details
      Keywords: Forecasting and Prediction; AI and Machine Learning; Consumer Behavior; Technology Adoption; Competitive Advantage
      Citation
      Register to Read
      Related
      Narayandas, Das, and Arijit Sengupta. "Using AI to Adjust Your Marketing and Sales in a Volatile World." Harvard Business Review Digital Articles (April 12, 2023).
      • March–April 2023
      • Article

      Market Segmentation Trees

      By: Ali Aouad, Adam Elmachtoub, Kris J. Ferreira and Ryan McNellis
      Problem definition: We seek to provide an interpretable framework for segmenting users in a population for personalized decision making. Methodology/results: We propose a general methodology, market segmentation trees (MSTs), for learning market... View Details
      Keywords: Decision Trees; Computational Advertising; Market Segmentation; Analytics and Data Science; E-commerce; Consumer Behavior; Marketplace Matching; Marketing Channels; Digital Marketing
      Citation
      Find at Harvard
      Read Now
      Purchase
      Related
      Aouad, Ali, Adam Elmachtoub, Kris J. Ferreira, and Ryan McNellis. "Market Segmentation Trees." Manufacturing & Service Operations Management 25, no. 2 (March–April 2023): 648–667.
      • February 2023
      • Supplement

      Coats Dyehouse Management

      By: Willy C. Shih
      Coats, the largest thread maker in the world, transformed its business to digital colour measurement so that it could respond better to customer demand in the garment industry for rapid product cycles and more fragmented colour choices. Its embrace of digital colour... View Details
      Keywords: Inventory Management; Supply Chain; Inventory; Supply Chain Management; Operations; Apparel and Accessories Industry; Asia
      Citation
      Purchase
      Related
      Shih, Willy C. "Coats Dyehouse Management." Harvard Business School Multimedia/Video Supplement 622-703, February 2023.
      • January–February 2023
      • Article

      Forecasting COVID-19 and Analyzing the Effect of Government Interventions

      By: Michael Lingzhi Li, Hamza Tazi Bouardi, Omar Skali Lami, Thomas Trikalinos, Nikolaos Trichakis and Dimitris Bertsimas
      We developed DELPHI, a novel epidemiological model for predicting detected cases and deaths in the prevaccination era of the COVID-19 pandemic. The model allows for underdetection of infections and effects of government interventions. We have applied DELPHI across more... View Details
      Keywords: COVID-19 Pandemic; Epidemics; Analytics and Data Science; Health Pandemics; AI and Machine Learning; Forecasting and Prediction
      Citation
      Read Now
      Related
      Li, Michael Lingzhi, Hamza Tazi Bouardi, Omar Skali Lami, Thomas Trikalinos, Nikolaos Trichakis, and Dimitris Bertsimas. "Forecasting COVID-19 and Analyzing the Effect of Government Interventions." Operations Research 71, no. 1 (January–February 2023): 184–201.
      • 1
      • 2
      • 3
      • 4
      • 5
      • →

      Are you looking for?

      →Search All HBS Web
      ǁ
      Campus Map
      Harvard Business School
      Soldiers Field
      Boston, MA 02163
      →Map & Directions
      →More Contact Information
      • Make a Gift
      • Site Map
      • Jobs
      • Harvard University
      • Trademarks
      • Policies
      • Accessibility
      • Digital Accessibility
      Copyright © President & Fellows of Harvard College.