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Show Results For
- All HBS Web
(2,883)
- News (476)
- Research (2,206)
- Events (43)
- Multimedia (14)
- Faculty Publications (1,425)
- 14 Mar 2023
- Cold Call Podcast
Can AI and Machine Learning Help Park Rangers Prevent Poaching?
- August 2018 (Revised April 2019)
- Supplement
Chateau Winery (B): Supervised Learning
By: Srikant M. Datar and Caitlin N. Bowler
This case builds directly on “Chateau Winery (A).” In this case, Bill Booth, marketing manager of a regional wine distributor, shifts to supervised learning techniques to try to predict which deals he should offer to customers based on the purchasing behavior of those... View Details
Datar, Srikant M., and Caitlin N. Bowler. "Chateau Winery (B): Supervised Learning." Harvard Business School Supplement 119-024, August 2018. (Revised April 2019.)
- 04 Oct 2017
- News
Researchers Combat Gender and Racial Bias in Artificial Intelligence
- January 2022
- Article
Why is Corporate Virtue in the Eye of The Beholder? The Case of ESG Ratings
By: Dane Christensen, George Serafeim and Anywhere Sikochi
Despite the rising use of environmental, social, and governance (ESG) ratings, there is substantial disagreement across rating agencies regarding what rating to give to individual firms. As what drives this disagreement is unclear, we examine whether a firm’s ESG... View Details
Keywords: ESG Ratings; Rating Agency Disagreement; ESG Disclosure; Corporate Social Responsibility; Sustainability; Corporate Social Responsibility and Impact; Environmental Sustainability; Corporate Disclosure
Christensen, Dane, George Serafeim, and Anywhere Sikochi. "Why Is Corporate Virtue in the Eye of the Beholder? The Case of ESG Ratings." Accounting Review 97, no. 1 (January 2022): 147–175.
- 17 Dec 2020
- Research & Ideas
The 10 Most Popular Stories of 2020
about the most interesting business trends of the year, and your predictions for 2021. Top 10 most popular stories Merck CEO Ken Frazier Discusses a COVID Cure, Racism, and Why Leaders Need to Walk the Talk Ken Frazier, one of only four... View Details
Keywords: by Dina Gerdeman
- March 2024
- Article
The Asymmetric Mispricing Information in Analysts’ Target Prices
By: Jeremiah Green, John R. M. Hand and Anywhere Sikochi
We study the mispricing information present in the target prices of U.S. and international analysts. We hypothesize that asymmetry in the value-relevance of the information that managers supply to analysts, combined with asymmetry in the incentives facing analysts to... View Details
Keywords: Analysts; Target Prices; Mispricing; Cost Of Equity; Valuation; Price; Cost; Analysis; Theory
Green, Jeremiah, John R. M. Hand, and Anywhere Sikochi. "The Asymmetric Mispricing Information in Analysts’ Target Prices." Review of Accounting Studies 29, no. 1 (March 2024): 889–915.
- Research Summary
Making Machine Learning Models Interpretable
I work on developing various tools and methodologies which can help decision makers (e.g., doctors, managers) to better understand the predictions of machine learning models. View Details
- December 2020 (Revised March 2022)
- Teaching Note
Forecasting ClimaCell
By: Joshua Lev Krieger, Christopher Stanton and James Barnett
A weather technology startup, ClimaCell considers the R&D trade-offs and financing implications of pursuing a proposed contract with a major automobile maker, rather than continuing its focus on building a scalable, all-purpose weather prediction engine. View Details
- February 2018
- 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, Managing Director Michael Metzger must decide how to extend his team’s predictive analytics work using Natural Language Processing (NLP) techniques. View Details
- 2023
- Working Paper
New Facts and Data about Professors and Their Research
By: Kyle Myers, Wei Yang Tham, Jerry Thursby, Marie Thursby, Nina Cohodes, Karim R. Lakhani, Rachel Mural and Yilun Xu
We introduce a new survey of professors at roughly 150 of the most research-intensive institutions of higher education in the US. We document seven new features of how research-active professors are compensated, how they spend their time, and how they perceive their... View Details
Keywords: Research; Higher Education; Compensation and Benefits; Measurement and Metrics; Equality and Inequality; Performance Productivity
Myers, Kyle, Wei Yang Tham, Jerry Thursby, Marie Thursby, Nina Cohodes, Karim R. Lakhani, Rachel Mural, and Yilun Xu. "New Facts and Data about Professors and Their Research." Harvard Business School Working Paper, No. 24-036, December 2023.
- 07 Dec 2018
- Video
Current Events Through the Lens of Theory: Tesla's Debt Downgraded
- 09 May 2005
- Research & Ideas
Hold or Fold? Sizing Up Business Risk
one this step is based on, is figuring out how you will know when to go for Options B or C and call it quits on the current game. To do this, we first assess what our best option seems to be based on: our satisfaction to date with the current game, our View Details
- 05 Aug 2024
- Research & Ideas
Watching for the Next Economic Downturn? Follow Corporate Debt
What really fuels a boom-and-bust cycle in the modern global economy? It’s not always household debt, says a new paper that parses in-depth data across 115 countries. Instead, rising corporate debt may flash the clearest warning that a fiscal crisis is on the horizon.... View Details
Keywords: by Rachel Layne
- September 26, 2018
- Article
Ownership and Power Structure: Together at Last
By: Laura Alfaro, Nicholas Bloom, Paola Conconi, Harald Fadinger, Patrick Legros, Andrew Newman, Raffaella Sadun and John Van Reenen
Economists have largely ignored the deep interdependency between integration and delegation. This column describes a new theory of integration and delegation choices aimed at shedding light on how these distinct elements of organizational design interact. Contrary to... View Details
Alfaro, Laura, Nicholas Bloom, Paola Conconi, Harald Fadinger, Patrick Legros, Andrew Newman, Raffaella Sadun, and John Van Reenen. "Ownership and Power Structure: Together at Last." Vox, CEPR Policy Portal (September 26, 2018).
- Awards
BSI Gamma Foundation Research Grant
By: Lauren H. Cohen
Won the 2006 BSI Gamma Foundation Grant, Firm Characteristics and Investment Management for the paper (with Andrea Frazzini) "Economic Links and Predictable Returns" (Journal of Finance, August 2008). View Details
- 2019
- Working Paper
Soul and Machine (Learning)
By: Davide Proserpio, John R. Hauser, Xiao Liu, Tomomichi Amano, Alex Burnap, Tong Guo, Dokyun Lee, Randall Lewis, Kanishka Misra, Eric Schwarz, Artem Timoshenko, Lilei Xu and Hema Yoganarasimhan
Machine learning is bringing us self-driving cars, improved medical diagnostics, and machine translation, but can it improve marketing decisions? It can. Machine learning models predict extremely well, are scalable to “big data,” and are a natural fit to rich media... View Details
Proserpio, Davide, John R. Hauser, Xiao Liu, Tomomichi Amano, Alex Burnap, Tong Guo, Dokyun Lee, Randall Lewis, Kanishka Misra, Eric Schwarz, Artem Timoshenko, Lilei Xu, and Hema Yoganarasimhan. "Soul and Machine (Learning)." Harvard Business School Working Paper, No. 20-036, September 2019.
- October–December 2022
- Article
Achieving Reliable Causal Inference with Data-Mined Variables: A Random Forest Approach to the Measurement Error Problem
By: Mochen Yang, Edward McFowland III, Gordon Burtch and Gediminas Adomavicius
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, followed... View Details
Keywords: Machine Learning; Econometric Analysis; Instrumental Variable; Random Forest; Causal Inference; AI and Machine Learning; Forecasting and Prediction
Yang, Mochen, Edward McFowland III, Gordon Burtch, and Gediminas Adomavicius. "Achieving Reliable Causal Inference with Data-Mined Variables: A Random Forest Approach to the Measurement Error Problem." INFORMS Journal on Data Science 1, no. 2 (October–December 2022): 138–155.
- 02 Aug 2010
- News
Four Things Groups Want that Leaders Can't Give — and One They Can
- 2024
- Working Paper
Finance Without Exotic Risk
By: Pedro Bordalo, Nicola Gennaioli, Rafael La Porta and Andrei Shleifer
We address the joint hypothesis problem in cross-sectional asset pricing by using measured analyst expectations of earnings growth. We construct a firm-level measure of Expectations Based Returns (EBRs) that uses analyst forecast errors and revisions and shuts down any... View Details
Bordalo, Pedro, Nicola Gennaioli, Rafael La Porta, and Andrei Shleifer. "Finance Without Exotic Risk." NBER Working Paper Series, No. 33004, September 2024.