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(3,296)
- News (517)
- Research (2,504)
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- Faculty Publications (1,610)
Show Results For
- All HBS Web
(3,296)
- News (517)
- Research (2,504)
- Events (43)
- Multimedia (18)
- Faculty Publications (1,610)
- 2023
- Chapter
Analyzing Human Decisions and Machine Predictions in Bail Decision Making
By: Jon Kleinberg, Himabindu Lakkaraju, Jure Leskovec, Jens Ludwig and Sendhil Mullainathan
BOOK ABSTRACT: Oriented toward the introductory student, The Inequality Reader is the essential textbook for today's undergraduate courses. The editors have assembled the most important classic and contemporary readings about how poverty and inequality are... View Details
Keywords: Equality and Inequality
Kleinberg, Jon, Himabindu Lakkaraju, Jure Leskovec, Jens Ludwig, and Sendhil Mullainathan. "Analyzing Human Decisions and Machine Predictions in Bail Decision Making." In The Inequality Reader: Contemporary and Foundational Readings in Race, Class, and Gender. 3rd edition, edited by David B. Grusky and Szonja Szelényi. Routledge, forthcoming.
- 15 Aug 2016
- Research & Ideas
Black Swans and Big Trends Can Ruin Anyone's Internet Prediction
how we thought about online opportunities one year after the dot-com bubble burst. In retrospect, many of my thoughts about the internet’s future evolution missed the mark. If you think history repeats itself, then these forecasting... View Details
- Article
The Wisdom of Competitive Crowds
By: Kenneth C. Lichtendahl, Yael Grushka-Cockayne and Phillip E. Pfeifer
When several individuals are asked to forecast an uncertain quantity, they often face implicit or explicit incentives to be the most accurate. Despite the desire to elicit honest forecasts, such competition induces forecasters to report strategically and nontruthfully.... View Details
Lichtendahl, Kenneth C., Yael Grushka-Cockayne, and Phillip E. Pfeifer. "The Wisdom of Competitive Crowds." Operations Research 61, no. 6 (November–December 2013): 1383–1398. (*Finalist in the Decision Analysis Society Publication Award, 2015.)
- November 2023
- Article
Knowledge About the Source of Emotion Predicts Emotion-Regulation Attempts, Strategies, and Perceived Emotion-Regulation Success
By: Yael Millgram, Matthew K. Nock, David D. Bailey and Amit Goldenberg
People’s ability to regulate emotions is crucial to healthy emotional functioning. One overlooked aspect in emotion-regulation research is that knowledge about the source of emotions can vary across situations and individuals, which could impact people’s ability to... View Details
Millgram, Yael, Matthew K. Nock, David D. Bailey, and Amit Goldenberg. "Knowledge About the Source of Emotion Predicts Emotion-Regulation Attempts, Strategies, and Perceived Emotion-Regulation Success." Psychological Science 34, no. 11 (November 2023): 1244–1255.
- August 1999
- Article
Positive Illusions and Biases of Prediction in Mutual Fund Investment Decisions
By: D. A. Moore, T. R. Kurtzberg, C. R. Fox and M. H. Bazerman
Moore, D. A., T. R. Kurtzberg, C. R. Fox, and M. H. Bazerman. "Positive Illusions and Biases of Prediction in Mutual Fund Investment Decisions." Organizational Behavior and Human Decision Processes 79, no. 2 (August 1999): 95–114.
- October 17, 2022
- Article
Relational Diversity in Social Portfolios Predicts Well-Being
By: Hanne K. Collins, Serena F. Hagerty, Jordi Quoidbach, Michael I. Norton and Alison Wood Brooks
We document a link between the relational diversity of one’s social portfolio—the richness and evenness of relationship types across one’s social interactions—and well-being. Across four distinct samples, respondents from the United States who completed a preregistered... View Details
Keywords: Social Interaction; Social Engagement; Well-being; Happiness; Social and Collaborative Networks; Family and Family Relationships
Collins, Hanne K., Serena F. Hagerty, Jordi Quoidbach, Michael I. Norton, and Alison Wood Brooks. "Relational Diversity in Social Portfolios Predicts Well-Being." Proceedings of the National Academy of Sciences 119, no. 43 (October 17, 2022).
- 31 Oct 2017
- News
Predictions for the Future of Small Business Lending and Fintech
- June 7, 1990
- Article
New Trading Practices and the Short-run Predictability of the S&P 500
By: André Perold, Kenneth A. Froot and James F. Gammill Jr.
- 2013
- Article
What Goes Up Must Come Down? Experimental Evidence on Intuitive Forecasting
By: John Beshears, James J. Choi, Andreas Fuster, David Laibson and Brigitte C. Madrian
Do laboratory subjects correctly perceive the dynamics of a mean-reverting time series? In our experiment, subjects receive historical data and make forecasts at different horizons. The time series process that we use features short-run momentum and long-run partial... View Details
Beshears, John, James J. Choi, Andreas Fuster, David Laibson, and Brigitte C. Madrian. "What Goes Up Must Come Down? Experimental Evidence on Intuitive Forecasting." American Economic Review: Papers and Proceedings 103, no. 3 (May 2013): 570–574.
- October 2014
- Supplement
Financial Policy at Apple, 2013 Powerpoint Supplement
By: Mihir Desai and Elizabeth A. Meyer
This is the PowerPoint supplement to the teaching note: Financial Policy at Apple, 2013 (A) - (B), number 215-022. View Details
Keywords: Apple; Steve Jobs; Forecast; Forecasting; Forecasting And Prediction; Shareholder Activism; Share Repurchase; Dividends; Financial Ratios; Preferred Shares; Cash Distribution; Corporate Finance; Borrowing and Debt; Financial Management; Financial Strategy; Technology Industry; Consumer Products Industry; United States; Republic of Ireland
Desai, Mihir, and Elizabeth A. Meyer. "Financial Policy at Apple, 2013 Powerpoint Supplement." Harvard Business School PowerPoint Supplement 215-023, October 2014.
- October 2014
- Supplement
Financial Policy at Apple, 2013 Excel Supplement
By: Mihir Desai and Elizabeth A. Meyer
This is the Excel Supplement to Teaching Note 215-022: Financial Policy at Apple, 2013 (A) - (B). View Details
Keywords: Apple; Steve Jobs; Forecast; Forecasting; Forecasting And Prediction; Shareholder Activism; Share Repurchase; Dividends; Financial Ratios; Preferred Shares; Cash Distribution; Corporate Finance; Borrowing and Debt; Financial Management; Financial Strategy; United States; Republic of Ireland
- Article
The Relation between Analysts' Long-Term Earnings Forecasts and Stock Performance following Equity Offerings
By: P. Dechow, A. Hutton and R. Sloan
Dechow, P., A. Hutton, and R. Sloan. "The Relation between Analysts' Long-Term Earnings Forecasts and Stock Performance following Equity Offerings." Contemporary Accounting Research 17, no. 3 (Fall 2000).
- 2023
- Article
Provable Detection of Propagating Sampling Bias in Prediction Models
By: Pavan Ravishankar, Qingyu Mo, Edward McFowland III and Daniel B. Neill
With an increased focus on incorporating fairness in machine learning models, it becomes imperative not only to assess and mitigate bias at each stage of the machine learning pipeline but also to understand the downstream impacts of bias across stages. Here we consider... View Details
Ravishankar, Pavan, Qingyu Mo, Edward McFowland III, and Daniel B. Neill. "Provable Detection of Propagating Sampling Bias in Prediction Models." Proceedings of the AAAI Conference on Artificial Intelligence 37, no. 8 (2023): 9562–9569. (Presented at the 37th AAAI Conference on Artificial Intelligence (2/7/23-2/14/23) in Washington, DC.)
- January 1982
- Case
New York Telephone Co.: The 1975 Revenue Forecast
Schleifer, Arthur, Jr. "New York Telephone Co.: The 1975 Revenue Forecast." Harvard Business School Case 182-060, January 1982.
- 2022
- Working Paper
Machine Learning Models for Prediction of Scope 3 Carbon Emissions
By: George Serafeim and Gladys Vélez Caicedo
For most organizations, the vast amount of carbon emissions occur in their supply chain and in the post-sale processing, usage, and end of life treatment of a product, collectively labelled scope 3 emissions. In this paper, we train machine learning algorithms on 15... View Details
Keywords: Carbon Emissions; Climate Change; Environment; Carbon Accounting; Machine Learning; Artificial Intelligence; Digital; Data Science; Environmental Sustainability; Environmental Management; Environmental Accounting
Serafeim, George, and Gladys Vélez Caicedo. "Machine Learning Models for Prediction of Scope 3 Carbon Emissions." Harvard Business School Working Paper, No. 22-080, June 2022.
- 10 Dec 2015
- News
Can Google Street View Images Predict Household Income?
- January 1982 (Revised May 1983)
- Case
CBS Record Co. (A): The Long-Range Industry Forecast
Schleifer, Arthur, Jr. "CBS Record Co. (A): The Long-Range Industry Forecast." Harvard Business School Case 182-182, January 1982. (Revised May 1983.)
- May 2006
- Article
Detection Defection: Measuring and Understanding the Predictive Accuracy of Customer Churn Models
By: Scott Neslin, Sunil Gupta, Wagner Kamakura, Junxiang Lu and Charlotte Mason
Neslin, Scott, Sunil Gupta, Wagner Kamakura, Junxiang Lu, and Charlotte Mason. "Detection Defection: Measuring and Understanding the Predictive Accuracy of Customer Churn Models." Journal of Marketing Research (JMR) 43, no. 2 (May 2006): 204–211.
- Article
Can Analysts Assess Fundamental Risk and Valuation Uncertainty? An Empirical Analysis of Scenario-Based Value Estimates
By: Peter R. Joos, Joseph D. Piotroski and Suraj Srinivasan
We use a dataset of sell-side analysts' scenario-based valuation estimates to examine whether analysts reliably assess the risk surrounding a firm's fundamental value. We find that the spread in analysts' state-side contingent valuations captures the riskiness of... View Details
Keywords: Analyst Forecasts; Scenarios; Uncertainty; Risk and Uncertainty; Valuation; Forecasting and Prediction
Joos, Peter R., Joseph D. Piotroski, and Suraj Srinivasan. "Can Analysts Assess Fundamental Risk and Valuation Uncertainty? An Empirical Analysis of Scenario-Based Value Estimates." Journal of Financial Economics 121, no. 3 (September 2016): 645–663.