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: (385) Arrow Down
Filter Results: (385) Arrow Down Arrow Up

Show Results For

  • All HBS Web  (385)
    • News  (33)
    • Research  (318)
    • Events  (1)
  • Faculty Publications  (149)

Show Results For

  • All HBS Web  (385)
    • News  (33)
    • Research  (318)
    • Events  (1)
  • Faculty Publications  (149)
← Page 3 of 385 Results →
  • 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.)
  • June 2020 (Revised August 2020)
  • Supplement

Vanguard Retail Operations (B)

By: Willy C. Shih and Antonio Moreno
The first two cases in this series are set in the financial services industry, and explore whether it is better for back-office workers to be generalists who provide the flexibility of being able to handle the complete range of transactions that the company faces or... View Details
Keywords: Pooling; Generalist Model; Specialist Model; Service Operations; Management; Financial Services Industry; United States
Citation
Purchase
Related
Shih, Willy C., and Antonio Moreno. "Vanguard Retail Operations (B)." Harvard Business School Supplement 620-105, June 2020. (Revised August 2020.)
  • May 2006
  • Article

Detection Defection: Measuring and Understanding the Predictive Accuracy of Customer Churn Models

By: Scott Neslin, Sunil Gupta, Wagner Kamakura, Junxiang Lu and Charlotte Mason
Keywords: Measurement and Metrics; Forecasting and Prediction; Customers
Citation
Find at Harvard
Related
Neslin, Scott, Sunil Gupta, Wagner Kamakura, Junxiang Lu, and Charlotte Mason. "Detection Defection: Measuring and Understanding the Predictive Accuracy of Customer Churn Models." Journal of Marketing Research (JMR) 43, no. 2 (May 2006): 204–211.
  • 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; Stocks
Citation
Educators
Purchase
Related
Baker, Malcolm, Elisabeth Kempf, and Jonathan Wallen. "Optimalen Capital." Harvard Business School Case 223-099, June 2023. (Revised April 2025.)
  • 1995
  • Chapter

Alternative Models of Negotiated Outcomes and the Nontraditional Utility Concerns That Limit Their Predictability

By: S. B. White, M. H. Bazerman and M. A. Neale
Keywords: Negotiation; Outcome or Result; Forecasting and Prediction
Citation
Related
White, S. B., M. H. Bazerman, and M. A. Neale. "Alternative Models of Negotiated Outcomes and the Nontraditional Utility Concerns That Limit Their Predictability." In Research on Negotiation in Organizations, edited by R. J. Bies, R. Lewicki, and B. Sheppard. Greenwich, CT: JAI Press, 1995.
  • 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
Citation
Read Now
Related
Upadhyay, Sohini, Shalmali Joshi, and Himabindu Lakkaraju. "Towards Robust and Reliable Algorithmic Recourse." Advances in Neural Information Processing Systems (NeurIPS) 34 (2021).
  • 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.)
  • March 2020
  • Supplement

People Analytics at Teach For America (B)

By: Jeffrey T. Polzer and Julia Kelley
This is a supplement to the People Analytics at Teach For America (A) case. In this supplement, situated one year after the A case, Managing Director Michael Metzger must decide how to apply his team's predictive models generated from the previous year’s data. View Details
Keywords: Analytics; Human Resource Management; Data; Workforce; Hiring; Talent Management; Forecasting; Predictive Analytics; Organizational Behavior; Recruiting; Analytics and Data Science; Forecasting and Prediction; Recruitment; Selection and Staffing; Talent and Talent Management
Citation
Purchase
Related
Polzer, Jeffrey T., and Julia Kelley. "People Analytics at Teach For America (B)." Harvard Business School Supplement 420-086, March 2020.
  • 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.)
  • February 2011 (Revised February 2011)
  • Supplement

The Auction for Burger King (A) (CW)

By: Malcolm P. Baker and David Lane
The courseware contains information on comparable firms and transactions as well as a forecasting model using the case data. View Details
Keywords: Forecasting and Prediction; Auctions; Market Transactions; Valuation; Service Industry
Citation
Purchase
Related
Baker, Malcolm P., and David Lane. "The Auction for Burger King (A) (CW)." Harvard Business School Spreadsheet Supplement 211-712, February 2011. (Revised February 2011.)
  • Teaching Interest

Overview

Paul is primarily interested in teaching data science to management students through the case method. This includes technical topics (programming and statistics) as well as higher-level management issues (digital transformation, data governance, etc.) As a research... View Details
Keywords: A/B Testing; AI; AI Algorithms; AI Creativity; Algorithm; Algorithm Bias; Algorithmic Bias; Algorithmic Fairness; Algorithms; Analytics; Application Program Interface; Artificial Intelligence; Causality; Causal Inference; Computing; Computers; Data Analysis; Data Analytics; Data Architecture; Data As A Service; Data Centers; Data Governance; Data Labeling; Data Management; Data Manipulation; Data Mining; Data Ownership; Data Privacy; Data Protection; Data Science; Data Science And Analytics Management; Data Scientists; Data Security; Data Sharing; Data Strategy; Data Visualization; Database; Data-driven Decision-making; Data-driven Management; Data-driven Operations; Datathon; Economics Of AI; Economics Of Innovation; Economics Of Information System; Economics Of Science; Forecast; Forecast Accuracy; Forecasting; Forecasting And Prediction; Information Technology; Machine Learning; Machine Learning Models; Prediction; Prediction Error; Predictive Analytics; Predictive Models; Analysis; AI and Machine Learning; Analytics and Data Science; Applications and Software; Digital Transformation; Information Management; Digital Strategy; Technology Adoption
  • Research Summary

Incorporating Price and Inventory Endogeneity in Firm-Level Sales Forecasting.

Forecasting firm-level sales is a key activity in top-down planning in most organizations. In the retailing industry, firms can use inventory and price to stimulate demand. Hence, standard time series methods for sales forecasting can be improved by incorporating... View Details
  • 2014
  • Article

The Promise of Prediction Contests

By: Phillip E. Pfeifer, Yael Grushka-Cockayne and Kenneth C. Lichtendahl
This article examines the prediction contest as a vehicle for aggregating the opinions of a crowd of experts. After proposing a general definition distinguishing prediction contests from other mechanisms for harnessing the wisdom of crowds, we focus on... View Details
Keywords: Prediction; Forecasting and Prediction
Citation
Find at Harvard
Related
Pfeifer, Phillip E., Yael Grushka-Cockayne, and Kenneth C. Lichtendahl. "The Promise of Prediction Contests." American Statistician 68, no. 4 (2014): 264–270.
  • June 2012
  • Case

Innovating at AT&T: Partnering to Lead the Broadband Revolution

By: Lynda M. Applegate, Phillip Andrews and Kerry Herman
In 2010, the U.S. retail market value for next-generation non-handset wirelessly-enabled devices was just over $1 billion. By 2011 it had grown 1,141% to $13.2 billion and was forecast to reach $24.7 billion in 2015. At the same time, user demand for data was surging... View Details
Keywords: Innovation & Entrepreneurship; Team Leadership; Emerging Technologies; Business Models; Business To Business; Corporate Vision; Growth Strategy; Corporate Culture; Innovation and Invention; Corporate Entrepreneurship; Partners and Partnerships; Leadership; Mobile and Wireless Technology; Growth and Development Strategy; Globalized Firms and Management; Business Model; Technology Industry; United States
Citation
Educators
Purchase
Related
Applegate, Lynda M., Phillip Andrews, and Kerry Herman. "Innovating at AT&T: Partnering to Lead the Broadband Revolution." Harvard Business School Case 812-124, June 2012.
  • February 2010
  • Background Note

Marketing Analysis Toolkit: Market Size and Market Share Analysis

By: Thomas J. Steenburgh and Jill Avery
Marketers frequently need to estimate the size of their markets—both for existing products so that sales forecasts can be developed and for new products so that market opportunities can be assessed. This toolkit enables students to size a market and generate a sales... View Details
Keywords: Forecasting and Prediction; Management Analysis, Tools, and Techniques; Marketing Strategy; Markets; Demand and Consumers; Size; Strategic Planning; Sales
Citation
Educators
Purchase
Related
Steenburgh, Thomas J., and Jill Avery. "Marketing Analysis Toolkit: Market Size and Market Share Analysis." Harvard Business School Background Note 510-081, February 2010.
  • 09 Jun 2020
  • Working Paper Summaries

Aggregate and Firm-Level Stock Returns During Pandemics, in Real Time

Keywords: by Laura Alfaro, Anusha Chari, Andrew Greenland, and Peter K. Schott
  • 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.
  • July 1987 (Revised October 2009)
  • Background Note

A Method For Valuing High-Risk, Long-Term Investments: The "Venture Capital Method"

By: William A. Sahlman and Daniel R Scherlis
Describes a method for valuing high-risk, long-term investments such as those confronting venture capitalists. The method entails forecasting a future value (e.g., five years from the present) and discounting that terminal value back to the present by applying a high... View Details
Keywords: Forecasting and Prediction; Entrepreneurship; Venture Capital; Investment; Risk Management; Valuation
Citation
Educators
Purchase
Related
Sahlman, William A., and Daniel R Scherlis. A Method For Valuing High-Risk, Long-Term Investments: The "Venture Capital Method". Harvard Business School Background Note 288-006, July 1987. (Revised October 2009.)
  • Article

The Cross Section of Expected Holding Period Returns and Their Dynamics: A Present Value Approach

By: Matthew R. Lyle and Charles C.Y. Wang
We provide a tractable model of firm-level expected holding period returns using two firm fundamentals—book-to-market ratio and ROE—and study the cross-sectional properties of the model-implied expected returns. We find that 1) firm-level expected returns and expected... View Details
Keywords: Expected Returns; Discount Rates; Holding Period Returns; Fundamental Valuation; Present Value; Valuation; Investment Return
Citation
SSRN
Find at Harvard
Read Now
Related
Lyle, Matthew R., and Charles C.Y. Wang. "The Cross Section of Expected Holding Period Returns and Their Dynamics: A Present Value Approach." Journal of Financial Economics 116, no. 3 (June 2015): 505–525.
  • 09 Jun 2020
  • News

Fed action, debt markets and stocks

  • ←
  • 3
  • 4
  • …
  • 19
  • 20
  • →
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.