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  • 13 Apr 2017
  • News

Three men + software = l'Elysée?

  • 07 Apr 2003
  • What Do You Think?

Should Global Business Initiatives Be Devalued?

recently, has been unthinkable: that global initiatives in many cases should be devalued, discounted, or postponed in relation to more predictable business investments "closer to home?" What do you think? View Details
Keywords: by James Heskett
  • Article

Ensembles of Overfit and Overconfident Forecasts

By: Y. Grushka-Cockayne, V.R.R. Jose and K. C. Lichtendahl
Firms today average forecasts collected from multiple experts and models. Because of cognitive biases, strategic incentives, or the structure of machine-learning algorithms, these forecasts are often overfit to sample data and are overconfident. Little is known about... View Details
Keywords: Decision Analysis; Data Science; Forecasting and Prediction; Data and Data Sets
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  • Article

Beacon and Warning: Sherman Kent, Scientific Hubris, and the CIA's Office of National Estimates

By: J. Peter Scoblic
Would-be forecasters have increasingly extolled the predictive potential of Big Data and artificial intelligence. This essay reviews the career of Sherman Kent, the Yale historian who directed the CIA’s Office of National Estimates from 1952 to 1967, with an eye toward... View Details
Keywords: National Security; Analytics and Data Science; Analysis; Forecasting and Prediction; History
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  • Article

Why Do Pro Forma and Street Earnings Not Reflect Changes in GAAP? Evidence from SFAS 123R

By: Ian D. Gow, Mary E. Barth and Daniel Taylor
This study examines how key market participants—managers and analysts—responded to SFAS 123R's controversial requirement that firms recognize stock-based compensation expense. Despite mandated recognition of the expense, some firms' managers exclude it from pro forma... View Details
Keywords: Motivation and Incentives; Employee Stock Ownership Plan
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  • 13 Sep 2016
  • News

The Hard Truth About Business Model Innovation

  • 09 May 2018
  • News

Experts puzzle over Partners-Harvard Pilgrim merger talks

  • 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
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  • 23 Aug 2013
  • Working Paper Summaries

Waves in Ship Prices and Investment

Keywords: by Robin Greenwood & Samuel Hanson
  • 2010
  • Working Paper

Decoding Inside Information

By: Lauren Cohen, Christopher Malloy and Lukasz Pomorski
Using a simple empirical strategy, we decode the information in insider trades. Exploiting the fact that insiders trade for a variety of reasons, we show that there is predictable, identifiable "routine" insider trading that is not informative for the future of firms.... View Details
Keywords: Forecasting and Prediction; Stocks; Financial Markets; Investment; Investment Return; Investment Portfolio; Market Transactions
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  • 01 Aug 2011
  • News

Reforming Health Care Systems

  • October 2022 (Revised December 2022)
  • Case

SMART: AI and Machine Learning for Wildlife Conservation

By: Brian Trelstad and Bonnie Yining Cao
Spatial Monitoring and Reporting Tool (SMART), a set of software and analytical tools designed for the purpose of wildlife conservation, had demonstrated significant improvements in patrol coverage, with some observed reductions in poaching and contributing to wildlife... View Details
Keywords: Business and Government Relations; Emerging Markets; Technology Adoption; Strategy; Management; Ethics; Social Enterprise; AI and Machine Learning; Analytics and Data Science; Natural Environment; Technology Industry; Cambodia; United States; Africa
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  • 1994
  • Article

Three-dimensional Finite Element Modeling of a Cervical Vertebra: An Investigation of Burst Fracture Mechanism

By: Kevin J. Bozic, J H Keyak, H B Skinner, H U Bueff and David Bradford
Finite element modeling was used to study the mechanical behavior of a cervical vertebra under axial compressive loading. A three-dimensional (3-D) finite element (FE) model of a mid-cervical vertebra using inhomogeneous material properties was generated from... View Details
Keywords: Performance Expectations; Strength and Weakness; Health; Mathematical Methods; Health Industry
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  • 26 Nov 2018
  • Working Paper Summaries

Demand Estimation in Models of Imperfect Competition

Keywords: by Alexander MacKay and Nathan H. Miller
  • 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
  • 10 Mar 2022
  • News

Hybrid Is the New Normal (For Now)

    Robin Greenwood

    Robin is the George Gund Professor of Finance and Banking at Harvard Business School. He serves as the Senior Associate Dean for Faculty Development and Research. He is past faculty director of the Behavioral Finance and Financial Stability project, chair of... View Details

    Keywords: banking; financial services
    • 08 Nov 2018
    • News

    Could Big Data Replace the Creative Director at the Gap?

    • 04 Apr 2016
    • HBS Seminar

    Ariel Stern, Harvard Business School

    • 12 Nov 2013
    • News

    Harvard Professors Express Skepticism About Twitter Stock’s Staying Power