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  • All HBS Web  (2,865)
    • News  (471)
    • Research  (2,200)
    • Events  (43)
    • Multimedia  (14)
  • Faculty Publications  (1,411)

Show Results For

  • All HBS Web  (2,865)
    • News  (471)
    • Research  (2,200)
    • Events  (43)
    • Multimedia  (14)
  • Faculty Publications  (1,411)
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  • August 2008
  • Article

Economic Links and Predictable Returns

By: Lauren Cohen and Andrea Frazzini
This paper finds evidence of return predictability across economically linked firms. We test the hypothesis that in the presence of investors subject to attention constraints, stock prices do not promptly incorporate news about economically related firms, generating... View Details
Keywords: Economics; Price; Assets; Analytics and Data Science; Customers; Stocks; Equity; Strategy; Investment Return; Forecasting and Prediction
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Cohen, Lauren, and Andrea Frazzini. "Economic Links and Predictable Returns." Journal of Finance 63, no. 4 (August 2008). (Winner of Smith Breeden Prize for the Best Paper Published in the Journal of Finance in Asset Pricing (Distinguished Paper) 2008. Winner of Chicago Quantitative Alliance Academic Paper Competition. First Prize presented by Chicago Quantitative Alliance. Winner of BSI Gamma Foundation Research Grant presented by BSI Gamma Foundation​.)
  • 2022
  • Chapter

What Predicts Corruption?

By: Emanuele Colonnelli, Jorge Gallego and Mounu Prem
Keywords: Crime and Corruption
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Colonnelli, Emanuele, Jorge Gallego, and Mounu Prem. "What Predicts Corruption?" Chap. 16 in A Modern Guide to the Economics of Crime, edited by Paolo Buonanno, Paolo Vanin, and Juan Vargas, 345–373. Edward Elgar Publishing, 2022.
  • 28 Sep 2012
  • News

The predictability principle

  • July 2019
  • Case

Four Products: Predicting Diffusion (2019)

By: John Gourville
One job of product managers, marketers, strategic planners, and other corporate executives is to predict what the demand will be for a new product. This task is easier for certain classes of new products than for others. For new consumer package goods, for instance,... View Details
Keywords: Diffusion Processes; Product Adoption; Marketing; Forecasting and Prediction; Demand and Consumers; Product; Adoption; Product Launch
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Gourville, John. "Four Products: Predicting Diffusion (2019)." Harvard Business School Case 520-012, July 2019.
  • August 2018
  • Case

Four Products: Predicting Diffusion (2018)

By: John Gourville
One job of product managers, marketers, strategic planners, and other corporate executives is to predict what the demand will be for a new product. This task is easier for certain classes of new products than for others. For new consumer package goods, for instance,... View Details
Keywords: Diffusion Processes; Product Adoption; Marketing; Forecasting and Prediction; Demand and Consumers; Adoption; Product Launch
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Gourville, John. "Four Products: Predicting Diffusion (2018)." Harvard Business School Case 519-018, August 2018.
  • 15 Apr 2020
  • News

Predictions for the New Normal

  • 07 Jul 2020
  • News

Predictable Financial Crises

Keywords: Robin Greenwood, Samuel G. Hanson, Andrei Shleifer, and Jakob Ahm Sørensen
  • May 2017
  • Case

Four Products: Predicting Diffusion (2017)

By: John Gourville
One job of product managers, marketers, strategic planners, and other corporate executives is to predict what the demand will be for a new product. This task is easier for certain classes of new products than for others. For new consumer package goods, for instance,... View Details
Keywords: Diffusion Processes; Product Adoption; Forecasting and Prediction; Product; Product Launch; Marketing
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Gourville, John. "Four Products: Predicting Diffusion (2017)." Harvard Business School Case 517-121, May 2017.
  • February 2021
  • Tutorial

Assessing Prediction Accuracy of Machine Learning Models

By: Michael Toffel and Natalie Epstein
This video describes how to assess the accuracy of machine learning prediction models, primarily in the context of machine learning models that predict binary outcomes, such as logistic regression, random forest, or nearest neighbor models. After introducing and... View Details
Keywords: Statistics; Experiments; Forecasting and Prediction; Performance Evaluation; AI and Machine Learning
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Toffel, Michael, and Natalie Epstein. Assessing Prediction Accuracy of Machine Learning Models. Harvard Business School Tutorial 621-706, February 2021. (Click here to access this tutorial.)
  • 2005
  • Working Paper

Pseudo Market Timing and Predictive Regressions

By: Malcolm Baker, Ryan Taliaferro and Jeffrey Wurgler
A number of studies claim that aggregate managerial decision variables, such as aggregate equity issuance, have power to predict stock or bond market returns. Recent research argues that these results may be driven by an aggregate time-series version of Schultz's... View Details
Keywords: Managerial Roles; Equity; Market Timing; Financial Instruments; Investment Return; Mathematical Methods
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Baker, Malcolm, Ryan Taliaferro, and Jeffrey Wurgler. "Pseudo Market Timing and Predictive Regressions." NBER Working Paper Series, No. 10823, January 2005. (First Draft in 2004.)
  • November 2011
  • Case

Four Products: Predicting Diffusion (2011)

By: John T. Gourville
An updated "Four Products" case. This 2011 version includes: sliced peanut butter, artificial dirt for thoroughbred race tracks, interactive tombstones, and stride-changing running shoes. These four products form the basis to assess the drivers of new product adoption.... View Details
Keywords: Innovation and Invention; Product Launch; Marketing
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Gourville, John T. "Four Products: Predicting Diffusion (2011)." Harvard Business School Case 512-047, November 2011.
  • January–February 2021
  • Article

Cross‐firm Return Predictability and Accounting Quality

By: Wen Chen, Mozaffar Khan, Leonid Kogan and George Serafeim
We test the hypothesis that if poor accounting quality (AQ) is associated with poor investor understanding of firms’ revenue and cost structures, then poor AQ stocks likely respond more slowly than good AQ stocks to new non‐idiosyncratic information that affects both... View Details
Keywords: Accounting Quality; Earnings Quality; Stock Returns; Investment Strategy; Accounting; Business Earnings; Quality; Investment Return; Investment; Strategy
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Chen, Wen, Mozaffar Khan, Leonid Kogan, and George Serafeim. "Cross‐firm Return Predictability and Accounting Quality." Journal of Business Finance & Accounting 48, nos. 1-2 (January–February 2021): 70–101.
  • April 2011
  • Teaching Note

Prediction Markets at Google (TN)

Teaching Note for 607088. View Details
Keywords: Interests; Forecasting and Prediction; Market Participation; Information Technology Industry
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Coles, Peter A. "Prediction Markets at Google (TN)." Harvard Business School Teaching Note 911-070, April 2011.
  • Article

Buying (Quality) Time Predicts Relationship Satisfaction

By: A.V. Whillans, Jessie Pow and Joe J. Gladstone
Seven studies examine the association between time-saving purchases (e.g., housecleaning and meal delivery services) and relationship satisfaction. Study 1 uses an eleven-year longitudinal panel survey to show that increases in time-saving purchases predict long-term... View Details
Keywords: Personal Finance; Family and Family Relationships; Satisfaction; Well-being
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Whillans, A.V., Jessie Pow, and Joe J. Gladstone. "Buying (Quality) Time Predicts Relationship Satisfaction." Journal of Personality and Social Psychology (in press).
  • March 2022 (Revised January 2025)
  • Technical Note

Prediction & Machine Learning

By: Iavor I. Bojinov, Michael Parzen and Paul Hamilton
This note provides an introduction to machine learning for an introductory data science course. The note begins with a description of supervised, unsupervised, and reinforcement learning. Then, the note provides a brief explanation of the difference between traditional... View Details
Keywords: Machine Learning; Data Science; Learning; Analytics and Data Science; Performance Evaluation; AI and Machine Learning
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Bojinov, Iavor I., Michael Parzen, and Paul Hamilton. "Prediction & Machine Learning." Harvard Business School Technical Note 622-101, March 2022. (Revised January 2025.)
  • April 2008
  • Case

Four Products: Predicting Diffusion (2008)

By: John T. Gourville
An updated "Four Products" case. This 2008 version includes: sliced peanut butter, foldable bicycle tires, high-end wooden puzzles, and artificial dirt for thoroughbred race tracks. These four products form the basis to assess the drivers of new product adoption. In... View Details
Keywords: Forecasting and Prediction; Innovation and Invention; Product Marketing; Demand and Consumers; Adoption
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Gourville, John T. "Four Products: Predicting Diffusion (2008)." Harvard Business School Case 508-103, April 2008.
  • 1996
  • Chapter

The Power of Predictability

By: H. H. Stevenson and Mihnea Moldoveanu
Keywords: Forecasting and Prediction
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Stevenson, H. H., and Mihnea Moldoveanu. "The Power of Predictability." In The Quest for Loyalty: Creating Value Through Partnership, edited by Fred Reichheld. Boston: Harvard Business School Press, 1996.
  • Article

Human Decisions and Machine Predictions

By: Jon Kleinberg, Himabindu Lakkaraju, Jure Leskovec, Jens Ludwig and Sendhil Mullainathan
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Kleinberg, Jon, Himabindu Lakkaraju, Jure Leskovec, Jens Ludwig, and Sendhil Mullainathan. "Human Decisions and Machine Predictions." Quarterly Journal of Economics 133, no. 1 (February 2018): 237–293.
  • July–August 1995
  • Article

The Power of Predictability

By: H. H. Stevenson and M. C. Moldoveanu
Keywords: Forecasting and Prediction
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Stevenson, H. H., and M. C. Moldoveanu. "The Power of Predictability." Harvard Business Review 73, no. 4 (July–August 1995).
  • August 2014
  • Case

Four Products: Predicting Diffusion (2014)

By: John Gourville
An updated "Four Products" case. This 2014 version includes: raw lobster meat, electric-powered Formula One race cars, a 3D printer for cosmetics, and a "smart" tennis racket. These four products form the basis to assess the drivers of new product adoption. In... View Details
Keywords: Product Diffusion; Innovation and Invention; Product Launch; Marketing; Demand and Consumers; Technology Adoption
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Gourville, John. "Four Products: Predicting Diffusion (2014)." Harvard Business School Case 515-023, August 2014.
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