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(1,262)
- News (116)
- Research (1,041)
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- Faculty Publications (791)
Show Results For
- All HBS Web
(1,262)
- News (116)
- Research (1,041)
- Events (2)
- Multimedia (5)
- Faculty Publications (791)
- 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.
- 1998
- Book
Forecasting Methods and Applications
By: S. Makridakis, S. Wheelwright, R. Hyndman and Y. Chang
Keywords: Forecasting and Prediction
Makridakis, S., S. Wheelwright, R. Hyndman, and Y. Chang. Forecasting Methods and Applications. 3rd ed. New York: John Wiley & Sons, 1998.
- 2024
- Working Paper
Pitfalls of Demographic Forecasts of U.S. Elections
By: Richard Calvo, Vincent Pons and Jesse M. Shapiro
Many observers have forecast large partisan shifts in the US electorate based on demographic trends. Such forecasts are appealing because demographic trends are often predictable even over long horizons. We backtest demographic forecasts using data on US elections... View Details
Keywords: Mathematical Methods; Voting; Political Elections; Trends; Forecasting and Prediction; Demographics
Calvo, Richard, Vincent Pons, and Jesse M. Shapiro. "Pitfalls of Demographic Forecasts of U.S. Elections." NBER Working Paper Series, No. 33016, October 2024.
- April 2016
- Teaching Note
Whither the Weather (Company): Forecasting 2016
By: Rosabeth Moss Kanter and Jonathan Cohen
This Note was created for the purpose of aiding classroom instructors in the use of the Harvard Business School case, "Whither the Weather (Company): Forecasting 2016." As chairman and CEO, David Kenny guided the Weather Company's transformation from a cable television... View Details
- 2010
- Working Paper
Valuation When Cash Flow Forecasts Are Biased
This paper focuses adaptations to the discount cash flow (DCF) method when valuing forecasted cash flows that are biased measures of expected cash flows. I imagine a simple setting where the expected cash flows equal the forecasted cash flows plus an omitted downside.... View Details
Keywords: Forecasting and Prediction; Cash Flow; Cost of Capital; Performance Expectations; Prejudice and Bias; Valuation
Ruback, Richard S. "Valuation When Cash Flow Forecasts Are Biased." Harvard Business School Working Paper, No. 11-036, October 2010.
- November 2018
- Case
Komatsu Komtrax: Asset Tracking Meets Demand Forecasting
By: Willy Shih, Paul Hong and YoungWon Park
Komatsu's Komtrax system started as a way of remotely monitoring and tracking equipment for the purpose of improving operational efficiency. This case follows its evolution towards other uses including demand forecasting for its sales, marketing, and production... View Details
Keywords: Big Data; Manufacturing; Manufacturing Industry; Data Strategy; Internet Of Things; Construction; Production; Analytics and Data Science; Strategy; Performance Efficiency; Forecasting and Prediction; Industrial Products Industry; Construction Industry; Japan
Shih, Willy, Paul Hong, and YoungWon Park. "Komatsu Komtrax: Asset Tracking Meets Demand Forecasting." Harvard Business School Case 619-022, November 2018.
- September 1960 (Revised April 1983)
- Background Note
Note on Financial Forecasting
Introduction to basic techniques of constructing pro forma statements and cash budgets. Illustrated by examples, supplemented by exercises. View Details
Helfert, Erich A. "Note on Financial Forecasting." Harvard Business School Background Note 206-048, September 1960. (Revised April 1983.)
- 2013
- Other Teaching and Training Material
Operations Management Reading: Forecasting
By: Steven C. Wheelwright and Ann B. Winslow
Wheelwright, Steven C., and Ann B. Winslow. "Operations Management Reading: Forecasting." Core Curriculum Readings Series. Harvard Business Publishing 8042HBH, 2013.
- February 2005
- Article
Financial Analyst Characteristics and Herding Behavior in Forecasting
By: Michael B. Clement and Senyo Tse
This study classifies analysts' earnings forecasts as herding or bold and finds that (1) boldness likelihood increases with the analyst's prior accuracy, brokerage size, and experience and declines with the number of industries the analyst follows, consistent with... View Details
Keywords: Experience and Expertise; Forecasting and Prediction; Performance Evaluation; Financial Services Industry
Clement, Michael B., and Senyo Tse. "Financial Analyst Characteristics and Herding Behavior in Forecasting." Journal of Finance 60, no. 1 (February 2005): 307–341.
- 2016
- Working Paper
Bias in Official Fiscal Forecasts: Can Private Forecasts Help?
By: Jeffrey A. Frankel and Jesse Schreger
Government forecasts of GDP growth and budget balances are generally more over optimistic than private sector forecasts. When official forecasts are especially optimistic relative to private forecasts ex ante, they are more likely also to be over optimistic relative to... View Details
Frankel, Jeffrey A., and Jesse Schreger. "Bias in Official Fiscal Forecasts: Can Private Forecasts Help?" NBER Working Paper Series, No. 22349, June 2016.
- 1989
- Book
Forecasting Methods for Management
By: S. Makridakis and S. C. Wheelwright
Keywords: Forecasting and Prediction
Makridakis, S., and S. C. Wheelwright. Forecasting Methods for Management. 5th ed. New York: John Wiley & Sons, 1989.
- Research Summary
Does the Adoption of Rolling Forecasts Improve Planning?
This field study investigates the consequences of adopting rolling forecasts on organizational planning. Using quarterly product-line forecasted and realized sales data from several business units of a multinational biotechnology supplier, I find that subsequent to the... View Details
- 05 Jul 2006
- Working Paper Summaries
Analyst Disagreement, Forecast Bias and Stock Returns
- Research Summary
Analyst Disagreement, Forecast Bias and Stock Returns
We present evidence of inefficient information processing in
equity markets by documenting that biases in analysts' earnings
forecasts are reflected in stock prices. In particular, investors
fail to account for analysts' tendency to withhold negative views
and to issue... View Details
- 25 Jul 2016
- Working Paper Summaries
Bias in Official Fiscal Forecasts: Can Private Forecasts Help?
Keywords: by Jeffrey A. Frankel and Jesse Schreger
- June 2020
- Supplement
Ride-Hailing Services: Forecasting Uber's Growth
By: E. Ofek, Eitan Muller and Barak Libai
- 1995
- Book
Data Analysis, Regression, and Forecasting
By: A. Schleifer Jr. and D. E. Bell
Keywords: Forecasting and Prediction
Schleifer, A., Jr., and D. E. Bell. Data Analysis, Regression, and Forecasting. Cambridge, MA: Course Technology Inc. (CTI), 1995.
- 01 Mar 2017
- News
Students Forecast Climate Change’s Impact
MORE Watch three students discuss their approach to the climate change challenge MORE Watch three students discuss their approach to the climate change challenge Professors Mike Toffel and Marco Iansiti presented the more than 900 RC students in their Technology &... View Details
Keywords: Dan Morrell
- July 1999
- Article
Analysts' Forecast Accuracy: Do Ability and Portfolio Complexity Matter
By: Michael B. Clement
Prior studies have identified systematic and time persistent differences in analysts’ earnings forecast accuracy, but have not explained why the differences exist. Using the I/B/E/S Detail History database, this study finds that forecast accuracy is positively... View Details
Clement, Michael B. "Analysts' Forecast Accuracy: Do Ability and Portfolio Complexity Matter." Journal of Accounting & Economics 27, no. 3 (July 1999): 285–303.