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Show Results For
- All HBS Web
(2,961)
- News (476)
- Research (2,196)
- Events (43)
- Multimedia (14)
- Faculty Publications (1,425)
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- September 2023
- Article
Stock Price Reactions to ESG News: The Role of ESG Ratings and Disagreement
By: George Serafeim and Aaron Yoon
We investigate whether ESG ratings predict future ESG news and the associated market reactions. We find that the consensus rating predicts future news, but its predictive ability diminishes for firms with large disagreement between raters. Relation between news and... View Details
Keywords: ESG; ESG (Environmental, Social, Governance) Performance; ESG Disclosure; ESG Ratings; ESG Reporting; ESG Disclosure Metrics; Sustainability; Investments; Disagreement; Rating Disagreement; Ratings; Environmental Sustainability; Social Issues; Corporate Social Responsibility and Impact; Performance; News; Investment; Financial Markets; Stocks; Price
Serafeim, George, and Aaron Yoon. "Stock Price Reactions to ESG News: The Role of ESG Ratings and Disagreement." Special Issue on RAST 2022 Conference. Review of Accounting Studies 28, no. 3 (September 2023): 1500–1530.
- 18 Jun 2024
- Research & Ideas
Central Banks Missed Inflation Red Flags. This Pricing Model Could Help.
doctoral student at the University of Chicago. The ‘state’ of the price gap matters Economists generally use two main data models to detect inflation and predict the pace at which retailers raise prices: time dependent and state... View Details
- 07 Jan 2019
- Research & Ideas
The Better Way to Forecast the Future
different fields,” says Grushka-Cockayne, whose research is on data science, forecasting, project management, and behavioral decision-making. “Our work is focused on using crowds for prediction and for forecasting something that is... View Details
- Forthcoming
- Article
Human-Algorithm Collaboration with Private Information: Naïve Advice Weighting Behavior and Mitigation
By: Maya Balakrishnan, Kris Ferreira and Jordan Tong
Even if algorithms make better predictions than humans on average, humans may sometimes have private information which an algorithm does not have access to that can improve performance. How can we help humans effectively use and adjust recommendations made by... View Details
Keywords: AI and Machine Learning; Analytics and Data Science; Forecasting and Prediction; Digital Marketing
Balakrishnan, Maya, Kris Ferreira, and Jordan Tong. "Human-Algorithm Collaboration with Private Information: Naïve Advice Weighting Behavior and Mitigation." Management Science (forthcoming). (Pre-published online March 24, 2025.)
- Article
Investor Sentiment in the Stock Market
By: Malcolm Baker and Jeffrey Wurgler
We examine how investor sentiment affects the cross-section of stock returns. Theory predicts that a broad wave of sentiment will disproportionately affect stocks whose valuations are highly subjective and are difficult to arbitrage. We test this prediction by... View Details
Keywords: Financial Markets; Stocks; Investment Return; Valuation; Forecasting and Prediction; Volatility; Price; Risk and Uncertainty; Behavioral Finance
Baker, Malcolm, and Jeffrey Wurgler. "Investor Sentiment in the Stock Market." Journal of Economic Perspectives 21, no. 2 (Spring 2007): 129–151.
- February 2024
- Module Note
Data-Driven Marketing in Retail Markets
By: Ayelet Israeli
This note describes an eight-class sessions module on data-driven marketing in retail markets. The module aims to familiarize students with core concepts of data-driven marketing in retail, including exploring the opportunities and challenges, adopting best practices,... View Details
Keywords: Data; Data Analytics; Retail; Retail Analytics; Data Science; Business Analytics; ＂Marketing Analytics＂; Omnichannel; Omnichannel Retailing; Omnichannel Retail; DTC; Direct To Consumer Marketing; Ethical Decision Making; Algorithmic Bias; Privacy; A/B Testing; Descriptive Analytics; Prescriptive Analytics; Predictive Analytics; Analytics and Data Science; E-commerce; Marketing Channels; Demand and Consumers; Marketing Strategy; Retail Industry
Israeli, Ayelet. "Data-Driven Marketing in Retail Markets." Harvard Business School Module Note 524-062, February 2024.
- 23 Apr 2024
- In Practice
Getting to Net Zero: The Climate Standards and Ecosystem the World Needs Now
With each month clocking record-breaking temperatures across the planet, this Earth Day reflected the renewed urgency of regulators and businesses to find climate-change solutions. The US Securities and Exchange Commission recently adopted new rules that will mandate... View Details
Keywords: by Rachel Layne
- December 2011
- Article
Stock Price Fragility
By: Robin Greenwood and David Thesmar
We investigate the relationship between ownership structure of financial assets and non-fundamental risk. We define an asset to be fragile if it is susceptible to non-fundamental trading shocks. An asset can be fragile because of concentrated ownership or because its... View Details
Keywords: Stocks; Price; Ownership; Risk and Uncertainty; Assets; System Shocks; Financial Liquidity; Forecasting and Prediction; Investment Return; Volatility; Relationships; United States
Greenwood, Robin, and David Thesmar. "Stock Price Fragility." Journal of Financial Economics 102, no. 3 (December 2011): 471–490.
- April 12, 2023
- Article
Using AI to Adjust Your Marketing and Sales in a Volatile World
By: Das Narayandas and Arijit Sengupta
Why are some firms better and faster than others at adapting their use of customer data to respond to changing or uncertain marketing conditions? A common thread across faster-acting firms is the use of AI models to predict outcomes at various stages of the customer... View Details
Keywords: Forecasting and Prediction; AI and Machine Learning; Consumer Behavior; Technology Adoption; Competitive Advantage
Narayandas, Das, and Arijit Sengupta. "Using AI to Adjust Your Marketing and Sales in a Volatile World." Harvard Business Review Digital Articles (April 12, 2023).
- 20 Mar 2017
- Working Paper Summaries
Bubbles for Fama
- 23 Sep 2017
- Working Paper Summaries
Nowcasting the Local Economy: Using Yelp Data to Measure Economic Activity at Scale
- November 2020
- Case
Axis My India
By: Ananth Raman, Ann Winslow and Kairavi Dey
Pradeep Gupta founded Axis My India (AMI) as a printing and publishing company in 1998. In 2013, AMI expanded into consumer research and election forecasting. Although a relatively unknown entity, AMI predicted several election results accurately. Gupta describes AMI’s... View Details
Keywords: Market Research; Operations; Management; Infrastructure; Logistics; Service Operations; Political Elections; Forecasting and Prediction; Asia; India
Raman, Ananth, Ann Winslow, and Kairavi Dey. "Axis My India." Harvard Business School Case 621-075, November 2020.
- 2020
- Working Paper
Is Accounting Useful for Forecasting GDP Growth? A Machine Learning Perspective
We provide a comprehensive examination of whether, to what extent, and which accounting variables are useful for improving the predictive accuracy of GDP growth forecasts. We leverage statistical models that accommodate a broad set of (341) variables—outnumbering the... View Details
Keywords: Big Data; Elastic Net; GDP Growth; Machine Learning; Macro Forecasting; Short Fat Data; Accounting; Economic Growth; Forecasting and Prediction; Analytics and Data Science
Datar, Srikant, Apurv Jain, Charles C.Y. Wang, and Siyu Zhang. "Is Accounting Useful for Forecasting GDP Growth? A Machine Learning Perspective." Harvard Business School Working Paper, No. 21-113, December 2020.
- February 2018 (Revised December 2020)
- Case
People Analytics at Teach For America (A)
By: Jeffrey T. Polzer and Julia Kelley
As of mid-2016, national nonprofit Teach For America (TFA) had struggled with three consecutive years of declining application totals, and senior management was re-examining the organization's strategy, including recruitment and selection. A few months earlier, former... View Details
Polzer, Jeffrey T., and Julia Kelley. "People Analytics at Teach For America (A)." Harvard Business School Case 418-013, February 2018. (Revised December 2020.)
- 2021
- Working Paper
Entrepreneurial Learning and Strategic Foresight
By: Aticus Peterson and Andy Wu
We study how learning by experience across projects affects an entrepreneur's strategic foresight. In a quantitative study of 314 entrepreneurs across 722 crowdfunded projects supplemented with a program of qualitative interviews, we counterintuitively find that... View Details
Keywords: Experience; Interdependency; Strategic Foresight; Crowdfunding; Timeline; Delay; Forecasting; Entrepreneurship; Learning; Complexity; Forecasting and Prediction; Product Development; Planning
Peterson, Aticus, and Andy Wu. "Entrepreneurial Learning and Strategic Foresight." Harvard Business School Working Paper, No. 21-123, January 2021. (Revised May 2021.)
- 06 Oct 2008
- Research & Ideas
Updating a Classic: Writing a Great Business Plan
business plan and its relation to new venture formation. I tried to explain that a business plan can't be a tightly crafted prediction of the future but rather a depiction of how events might unfold and a road map for change. I emphasized... View Details
Keywords: by Sean Silverthorne
- October 2017 (Revised April 2018)
- Case
Improving Worker Safety in the Era of Machine Learning (A)
By: Michael W. Toffel, Dan Levy, Jose Ramon Morales Arilla and Matthew S. Johnson
Managers make predictions all the time: How fast will my markets grow? How much inventory do I need? How intensively should I monitor my suppliers? Which potential customers will be most responsive to a particular marketing campaign? Which job candidates should I... View Details
Keywords: Machine Learning; Policy Implementation; Empirical Research; Inspection; Occupational Safety; Occupational Health; Regulation; Analysis; Forecasting and Prediction; Policy; Operations; Supply Chain Management; Safety; Manufacturing Industry; Construction Industry; United States
Toffel, Michael W., Dan Levy, Jose Ramon Morales Arilla, and Matthew S. Johnson. "Improving Worker Safety in the Era of Machine Learning (A)." Harvard Business School Case 618-019, October 2017. (Revised April 2018.)
- October 2002 (Revised May 2021)
- Case
Group Process in the Challenger Launch Decision (A)
By: Amy C. Edmondson and Laura Feldman
The night before the launch of the Challenger shuttle, officials from Morton Thiokol (Solid Rocket Booster manufacturer) and NASA participated in a teleconference to discuss whether to postpone the shuttle launch due to predicted low temperatures at Kennedy Space... View Details
Keywords: Process Analysis; Problems and Challenges; Groups and Teams; Engineering; Risk Management; Analysis; Decision Making; Aerospace Industry; United States
Edmondson, Amy C., and Laura Feldman. "Group Process in the Challenger Launch Decision (A)." Harvard Business School Case 603-068, October 2002. (Revised May 2021.)
- 16 Mar 2009
- Research & Ideas
When the Internet Runs Out of IP Addresses
The Internet is running out of room. Experts predict that in two or three years we will run out of Web addresses, so-called IP addresses, that can be assigned to new Internet-based sites and services. Each site is assigned a unique number... View Details
- Research Summary
Entrepreneurial Management
Howard H. Stevenson is researching and writing on the need for and consequences of predictability. In work designed for a managerial audience, he is examining the roles played by organizations, cultures, and ethical systems in enabling individuals to predict the... View Details