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(3,298)
- News (517)
- Research (2,506)
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- Faculty Publications (1,615)
Show Results For
- All HBS Web
(3,298)
- News (517)
- Research (2,506)
- Events (43)
- Multimedia (18)
- Faculty Publications (1,615)
- Article
Political Forecasting as a Management Tool
By: James E. Austin and David Yoffie
Keywords: Forecasting and Prediction; Government and Politics; Management Analysis, Tools, and Techniques
Austin, James E., and David Yoffie. "Political Forecasting as a Management Tool." Journal of Forecasting 3, no. 4 (October–December 1984).
- January 1996
- Article
Real Business Cycle Models and the Forecastable Movements in Output, Hours and Consumption
By: J. J. Rotemberg and Michael Woodford
Keywords: Forecasting and Prediction
Rotemberg, J. J., and Michael Woodford. "Real Business Cycle Models and the Forecastable Movements in Output, Hours and Consumption." American Economic Review 86, no. 1 (January 1996): 71–89.
- May 2018
- Article
The Amount and Source of Millionaires' Wealth (Moderately) Predicts Their Happiness
By: Grant Edward Donnelly, Tianyi Zheng, Emily Haisley and Michael I. Norton
Two samples of more than 4,000 millionaires reveal two primary findings. First, only at high levels of wealth—in excess of $8 million (Study 1) and $10 million (Study 2)—are wealthier millionaires happier than millionaires with lower levels of wealth, though these... View Details
Donnelly, Grant Edward, Tianyi Zheng, Emily Haisley, and Michael I. Norton. "The Amount and Source of Millionaires' Wealth (Moderately) Predicts Their Happiness." Personality and Social Psychology Bulletin 44, no. 5 (May 2018): 684–699.
- 1999
- Working Paper
Positive Illusions and Forecasting Errors in Mutual Fund Investment Decisions
By: Don A. Moore, Terri Kurtzberg, Craig R. Fox and Max Bazerman
- August 2020 (Revised September 2020)
- Technical Note
Assessing Prediction Accuracy of Machine Learning Models
The note introduces a variety of methods to assess the accuracy of machine learning prediction models. The note begins by briefly introducing machine learning, overfitting, training versus test datasets, and cross validation. The following accuracy metrics and tools... View Details
Keywords: Machine Learning; Statistics; Econometric Analyses; Experimental Methods; Data Analysis; Data Analytics; Forecasting and Prediction; Analytics and Data Science; Analysis; Mathematical Methods
Toffel, Michael W., Natalie Epstein, Kris Ferreira, and Yael Grushka-Cockayne. "Assessing Prediction Accuracy of Machine Learning Models." Harvard Business School Technical Note 621-045, August 2020. (Revised September 2020.)
- May 1981
- Supplement
Stride Rite: Demand Forecasting Process (B)
Schleifer, Arthur, Jr. "Stride Rite: Demand Forecasting Process (B)." Harvard Business School Supplement 181-123, May 1981.
- fall 2007
- Article
Estimating Demand Uncertainty Using Judgmental Forecasts
By: Vishal Gaur, Saravanan Kesavan, Ananth Raman and Marshall L. Fisher
Gaur, Vishal, Saravanan Kesavan, Ananth Raman, and Marshall L. Fisher. "Estimating Demand Uncertainty Using Judgmental Forecasts." Manufacturing & Service Operations Management 9, no. 4 (fall 2007).
- August 2018 (Revised September 2018)
- Supplement
Predicting Purchasing Behavior at PriceMart (B)
By: Srikant M. Datar and Caitlin N. Bowler
Supplements the (A) case. In this case, Wehunt and Morse are concerned about the logistic regression model overfitting to the training data, so they explore two methods for reducing the sensitivity of the model to the data by regularizing the coefficients of the... View Details
Keywords: Data Science; Analytics and Data Science; Analysis; Customers; Household; Forecasting and Prediction
Datar, Srikant M., and Caitlin N. Bowler. "Predicting Purchasing Behavior at PriceMart (B)." Harvard Business School Supplement 119-026, August 2018. (Revised September 2018.)
- 01 Feb 2002
- News
Europe Business Conference Forecasts the Future
a New Yorker. In the business world, Hannezo predicted that synergies will continue to develop between Europe and the United States, thanks to a shared system of values and a... View Details
- 01 Jun 2015
- News
Three Predictions for Boston’s Innovation Scene in 2035
- Article
Interpretable Decision Sets: A Joint Framework for Description and Prediction
By: Himabindu Lakkaraju, Stephen H. Bach and Jure Leskovec
Lakkaraju, Himabindu, Stephen H. Bach, and Jure Leskovec. "Interpretable Decision Sets: A Joint Framework for Description and Prediction." Proceedings of the ACM SIGKDD Conference on Knowledge Discovery and Data Mining 22nd (2016).
- 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.)
- January 2019
- Article
Bubbles for Fama
By: Robin Greenwood, Andrei Shleifer and Yang You
We evaluate Eugene Fama's claim that stock prices do not exhibit price bubbles. Based on U.S. industry returns 1926–2014 and international sector returns 1985–2014, we present four findings: (1) Fama is correct in that a sharp price increase of an industry portfolio... View Details
Keywords: Bubble; Market Efficiency; Predictability; Price Bubble; Stocks; Price; Forecasting and Prediction
Greenwood, Robin, Andrei Shleifer, and Yang You. "Bubbles for Fama." Journal of Financial Economics 131, no. 1 (January 2019): 20–43. (Internet Appendix Here.)
- 09 Feb 2007
- Working Paper Summaries
Do Corporate Social Responsibility Ratings Predict Corporate Social Performance?
- 15 Apr 2019
- News
How Companies Should Prepare Their Forecasts
- 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
- June 2014
- Case
Financial Policy at Apple, 2013 (A)
By: Mihir A. Desai and Elizabeth A. Meyer
By the end of 2013, Apple had $137 billion dollars in cash and marketable securities. This case explores how companies can generate such large amounts of cash and how and if they should distribute it to shareholders, especially in the face of shareholder pressure. In... 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
- 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.