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(2,836)
- News (457)
- Research (2,173)
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- Faculty Publications (1,383)
Show Results For
- All HBS Web
(2,836)
- News (457)
- Research (2,173)
- Events (39)
- Multimedia (14)
- Faculty Publications (1,383)
- 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
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.)
- 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
Cohen, Lauren, Christopher Malloy, and Lukasz Pomorski. "Decoding Inside Information." NBER Working Paper Series, No. 16454, October 2010. (Winner of Institute for Quantitative Investment Research (INQUIRE) Grant presented by Institute for Quantitative Investment Research. Winner of Chicago Quantitative Alliance Academic Paper Competition. First Prize presented by Chicago Quantitative Alliance.)
- 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
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).
- 09 Jun 2020
- Working Paper Summaries
Aggregate and Firm-Level Stock Returns During Pandemics, in Real Time
- 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
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.
- 04 Apr 2016
- HBS Seminar
Ariel Stern, Harvard Business School
- 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
- 09 May 2018
- News
Experts puzzle over Partners-Harvard Pilgrim merger talks
- 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
- 18 Mar 2015
- News
Did Fear-Mongering Make Ebola's Impact Worse?
- December 2012
- Article
Behavioral Ethics: Toward a Deeper Understanding of Moral Judgment and Dishonesty
By: Max Bazerman and Francesca Gino
Early research and teaching on ethics focused on either a moral development perspective or philosophical approaches, and used a normative approach by focusing on the question of how people should act when resolving ethical dilemmas. In this paper, we briefly describe... View Details
Keywords: Ethical Decision Making; Corruption; Unethical Behavior; Behavioral Decision Research; Behavior; Ethics
Bazerman, Max, and Francesca Gino. "Behavioral Ethics: Toward a Deeper Understanding of Moral Judgment and Dishonesty." Annual Review of Law and Social Science 8 (December 2012): 85–104.
- 01 Aug 2011
- News
Reforming Health Care Systems
- 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
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?
- 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
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.
- Research Summary
Working Hard and Investing for an Early Retirement
I examine consumption, leisure, and portfolio choices made over the life-cycle using a model allowing for semi-flexible leisure and an endogenously chosen retirement date. Under a Cobb-Douglas utility specification, I present closed-form expressions for optimal... View Details
- 2007
- Working Paper
Evidence from Goodwill Non-impairments on the Effects of Unverifiable Fair-Value Accounting
By: Karthik Ramanna and Ross L. Watts
SFAS 142 requires firms to use unverifiable fair-value estimates to determine goodwill impairments. Standard setters suggest managers will use the discretion given by such estimates to convey private information on future cash flows, while agency theory predicts... View Details
Ramanna, Karthik, and Ross L. Watts. "Evidence from Goodwill Non-impairments on the Effects of Unverifiable Fair-Value Accounting." Harvard Business School Working Paper, No. 08-014, August 2007.
Achieving Reliable Causal Inference with Data-Mined Variables: A Random Forest Approach to the Measurement Error Problem
Combining machine learning with econometric analysis is becoming increasingly prevalent in both research and practice. A common empirical strategy involves the application of predictive modeling techniques to "mine" variables of interest from available data,... View Details