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  • All HBS Web  (2,939)
    • News  (470)
    • Research  (2,186)
    • Events  (43)
    • Multimedia  (14)
  • Faculty Publications  (1,410)
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  • 2024
  • Working Paper

Warnings and Endorsements: Improving Human-AI Collaboration Under Covariate Shift

By: Matthew DosSantos DiSorbo and Kris Ferreira
Problem definition: While artificial intelligence (AI) algorithms may perform well on data that are representative of the training set (inliers), they may err when extrapolating on non-representative data (outliers). These outliers often originate from covariate shift,... View Details
Keywords: AI and Machine Learning; Decision Choices and Conditions
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DosSantos DiSorbo, Matthew, and Kris Ferreira. "Warnings and Endorsements: Improving Human-AI Collaboration Under Covariate Shift." Working Paper, February 2024.
  • 2022
  • Working Paper

Values as Luxury Goods and Political Polarization

By: Benjamin Enke, Mattias Polborn and Alex A Wu
Motivated by novel survey evidence, this paper develops a theory of political behavior in which values are a luxury good: the relative weight voters place on values rather than material considerations increases in income. The model predicts (i) voters who are... View Details
Keywords: Political Polarization; Government and Politics; Moral Sensibility; Luxury; Values and Beliefs; Voting
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Enke, Benjamin, Mattias Polborn, and Alex A Wu. "Values as Luxury Goods and Political Polarization." Working Paper, April 2022. (Revised April 2023.)
  • December 2009
  • Article

Catering Through Nominal Share Prices

By: Malcolm Baker, Robin Greenwood and Jeffrey Wurgler
We propose and test a catering theory of nominal stock prices. The theory predicts that when investors place higher valuation on low-price firms, managers will maintain share prices at lower levels, and vice-versa. Using measures of time-varying catering incentives... View Details
Keywords: Stocks; Stock Shares; Investment; Investment Return; Price; Theory; Valuation
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Baker, Malcolm, Robin Greenwood, and Jeffrey Wurgler. "Catering Through Nominal Share Prices." Journal of Finance 64, no. 6 (December 2009): 2559–2590. (Internet Appendix.)
  • 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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Calvo, Richard, Vincent Pons, and Jesse M. Shapiro. "Pitfalls of Demographic Forecasts of U.S. Elections." NBER Working Paper Series, No. 33016, October 2024.
  • 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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Trelstad, Brian, and Bonnie Yining Cao. "SMART: AI and Machine Learning for Wildlife Conservation." Harvard Business School Case 323-036, October 2022. (Revised December 2022.)
  • 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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Grushka-Cockayne, Y., V.R.R. Jose, and K. C. Lichtendahl. "Ensembles of Overfit and Overconfident Forecasts." Management Science 63, no. 4 (April 2017): 1110–1130.
  • 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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Scoblic, J. Peter. "Beacon and Warning: Sherman Kent, Scientific Hubris, and the CIA's Office of National Estimates." Texas National Security Review 1, no. 4 (August 2018).
  • 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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Gow, Ian D., Mary E. Barth, and Daniel Taylor. "Why Do Pro Forma and Street Earnings Not Reflect Changes in GAAP? Evidence from SFAS 123R." Review of Accounting Studies 17, no. 3 (September 2012): 526–562.
  • Research Summary

The Role of Financial and Information Intermediaries in the Capital Markets

Hutton's research investigates the role of financial analysts and short sellers in the pricing of equity securities. Recently, Hutton examines (with Patricia Dechow and Richard Sloan) the role of sell-side analysts' earnings forecasts in the pricing of common equity... View Details
  • Research Summary

Implications of Limits of Arbitrage (with James Choi)

In this project we investigate the relationship between limits to arbitrage facing mutual fund managers and asset pricing anomalies. We measure changes in the limits to arbitrage by computing the average of slopes on current and past returns in quarterly... View Details
  • August–September 2012
  • Article

The Future of Boards: Meeting the Governance Challenges of the 21st Century

By: Jay W. Lorsch
Predicting the challenges boards will face in the years ahead requires an understanding of how they and the governance they have provided has evolved in past years, as well as the challenges they face in the years ahead. Since I have been serving on and doing research... View Details
Keywords: Boards Of Directors; Corporate Governance; Governance; Succession; Compensation; Governing and Advisory Boards
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Lorsch, Jay W. "The Future of Boards: Meeting the Governance Challenges of the 21st Century." European Financial Review (August–September 2012), 2–4.
  • 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
  • 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
  • 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.
  • 23 Aug 2013
  • Working Paper Summaries

Waves in Ship Prices and Investment

Keywords: by Robin Greenwood & Samuel Hanson
  • 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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Bozic, Kevin J., J H Keyak, H B Skinner, H U Bueff, and David Bradford. "Three-dimensional Finite Element Modeling of a Cervical Vertebra: An Investigation of Burst Fracture Mechanism." Journal of Spinal Disorders & Techniques 7, no. 2 (1994): 102–110.
  • December 2002 (Revised February 2003)
  • Case

Broken Trust: Role of Professionals in the Enron Debacle

By: Ashish Nanda
Discusses the role of professionals in the Enron debacle. Argues that professionals failed to prevent or predict Enron's collapse because of the conflicts of interest they faced. Concludes with observations on management and regulation of conflicts of interest facing... View Details
Keywords: Conflict of Interests; Trust; Management Teams; Energy Industry
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Nanda, Ashish. "Broken Trust: Role of Professionals in the Enron Debacle." Harvard Business School Case 903-084, December 2002. (Revised February 2003.)
  • 26 Nov 2018
  • Working Paper Summaries

Demand Estimation in Models of Imperfect Competition

Keywords: by Alexander MacKay and Nathan H. Miller
  • May 2012
  • Article

Complicated Firms

By: Lauren Cohen and Dong Lou
We exploit a novel setting in which the same piece of information affects two sets of firms: one set of firms requires straightforward processing to update prices, while the other set requires more complicated analyses to incorporate the same piece of information into... View Details
Keywords: Investment Portfolio; Information; Price; Forecasting and Prediction; Complexity; Mathematical Methods
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Cohen, Lauren, and Dong Lou. "Complicated Firms." Journal of Financial Economics 104, no. 2 (May 2012). (Winner of Istanbul Stock Exchange 25th Anniversary Best Paper Competition. First Prize presented by Istanbul Stock Exchange. Winner of Center for Research in Security Prices Forum. Best Paper Prize presented by University of Chicago Booth School of Business. Winner of Paul Woolley Centre for the Study of Capital Market Dysfunctionality. Academic Grant presented by Paul Woolley Centre for the Study of Capital Market Dysfunctionality. Winner of Crowell Memorial Prize For the best paper on quantitative investing presented by PanAgora Asset Management, Inc.)
  • 08 Nov 2018
  • Cold Call Podcast

Could Big Data Replace the Creative Director at the Gap?

Keywords: Re: Ayelet Israeli; Fashion; Retail
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