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Show Results For
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All HBS Web
(2,815)
- News (443)
- Research (2,158)
- Events (39)
- Multimedia (14)
- Faculty Publications (1,378)
- December 2015
- Article
What Is Disruptive Innovation?
By: Clayton M. Christensen, Michael Raynor and Rory McDonald
For the past 20 years, the theory of disruptive innovation has been enormously influential in business circles and a powerful tool for predicting which industry entrants will succeed. Unfortunately, the theory has also been widely misunderstood, and the "disruptive"...
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Christensen, Clayton M., Michael Raynor, and Rory McDonald. "What Is Disruptive Innovation?" Harvard Business Review 93, no. 12 (December 2015): 44–53.
- 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...
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Keywords:
by Dina Gerdeman
- 07 Dec 2018
- Video
Current Events Through the Lens of Theory: Tesla's Debt Downgraded
- 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...
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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).
- 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...
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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.
- 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...
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Datar, Srikant M., and Caitlin N. Bowler. "Chateau Winery (B): Supervised Learning." Harvard Business School Supplement 119-024, August 2018. (Revised April 2019.)
- 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...
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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.
- 02 Aug 2010
- News
Four Things Groups Want that Leaders Can't Give — and One They Can
- 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.
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- 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.
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- 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
- March 2005
- Article
Short- and Long-term Demand Curves for Stocks: Theory and Evidence on the Dynamics of Arbitrage
By: Robin Greenwood
I develop a framework to analyze demand curves for multiple risky securities at extended horizons in a setting with limits-to-arbitrage. Following an unexpected change in uninformed investor demand for several assets, I predict returns of each security to be...
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Keywords:
Limits To Arbitrage;
Event Studies;
Demand Curves;
Portfolio Choice;
Framework;
Demand and Consumers;
Change;
Risk and Uncertainty;
Debt Securities;
Forecasting and Prediction;
Stocks;
Assets;
Investment Portfolio;
System Shocks;
Price;
Japan
Greenwood, Robin. "Short- and Long-term Demand Curves for Stocks: Theory and Evidence on the Dynamics of Arbitrage." Journal of Financial Economics 75, no. 3 (March 2005): 607–649.
- January 1995
- Background Note
A Note on Distribution of Venture Investments
By: Josh Lerner
Venture capitalists typically exit investments by distributing shares to investors. These transfers pose challenges for these investors. Predictions and evidence about the behavior of stock prices of firms around the time of these distributions are presented.
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Lerner, Josh. "A Note on Distribution of Venture Investments." Harvard Business School Background Note 295-095, January 1995.
- 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.
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Fortune Tellers
The period leading up to the Great Depression witnessed the rise of economic forecasters, pioneers who sought to use the tools of science to predict the future, with the aim of profiting from their forecasts. This book chronicles the lives and careers of the men who...
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- Article
Measuring Audit Quality
By: Shivaram Rajgopal, Suraj Srinivasan and Xin Zheng
In this paper, we document 45 specific allegations related to audit deficiencies based on GAAS, as detailed in 141 AAERs and 153 securities class action lawsuits over the violation years 1978–2016. Next, we use these allegations to validate existing popular proxies of...
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Keywords:
Audit Quality;
Audit Deficiency;
AAER;
Securities Class Action Lawsuits;
Enforcement;
Accounting Audits;
Quality;
Measurement and Metrics
Rajgopal, Shivaram, Suraj Srinivasan, and Xin Zheng. "Measuring Audit Quality." Review of Accounting Studies 26, no. 2 (June 2021): 559–619.
- August 2017
- Article
Is the SEC Captured? Evidence from Comment-Letter Reviews
By: Jonas Heese, Mozaffar Khan and Karthik Ramanna
SEC oversight of publicly listed firms ranges from comment letter (CL) reviews of firms’ reporting compliance to pursuing enforcement actions against violators. Prior literature finds that firm political connections (PC) negatively predict enforcement actions,...
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Keywords:
Comment Letters;
Political Connections;
Regulatory Capture;
SEC Enforcement;
Government Administration;
Business and Government Relations;
Government and Politics
Heese, Jonas, Mozaffar Khan, and Karthik Ramanna. "Is the SEC Captured? Evidence from Comment-Letter Reviews." Journal of Accounting & Economics 64, no. 1 (August 2017). (Revised June 2017.)
- December 2019
- Case
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.
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Keywords:
Weather;
Forecasting and Prediction;
Technological Innovation;
Research and Development;
Finance;
Cost vs Benefits;
Decision Making;
Strategy
Krieger, Joshua Lev, Christopher Stanton, and James Barnett. "Forecasting ClimaCell." Harvard Business School Case 820-044, December 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...
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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.
- 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...
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Bordalo, Pedro, Nicola Gennaioli, Rafael La Porta, and Andrei Shleifer. "Finance Without Exotic Risk." NBER Working Paper Series, No. 33004, September 2024.