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- 2018
- Working Paper
Averaging Probability Forecasts: Back to the Future
By: Robert L. Winkler, Yael Grushka-Cockayne, Kenneth C. Lichtendahl Jr. and Victor Richmond R. Jose
The use and aggregation of probability forecasts in practice is on the rise. In this position piece, we explore some recent, and not so recent, developments concerning the use of probability forecasts in decision-making. Despite these advances, challenges still exist.... View Details
Keywords: Probability Forecast; Forecast Combination; Forecast Evaluation; Decision Analysis; Forecasting and Prediction; Decision Making; Analysis
Winkler, Robert L., Yael Grushka-Cockayne, Kenneth C. Lichtendahl Jr., and Victor Richmond R. Jose. "Averaging Probability Forecasts: Back to the Future." Harvard Business School Working Paper, No. 19-039, October 2018.
- Article
Is it Better to Average Probabilities or Quantiles?
By: Kenneth C. Lichtendahl, Yael Grushka-Cockayne and Robert L. Winkler
We consider two ways to aggregate expert opinions using simple averages: averaging probabilities and averaging quantiles. We examine analytical properties of these forecasts and compare their ability to harness the wisdom of the crowd. In terms of location, the two... View Details
Keywords: Probability Forecasts; Quantile Forecasts; Expert Combination; Linear Opinion Pooling; Forecasting and Prediction
Lichtendahl, Kenneth C., Yael Grushka-Cockayne, and Robert L. Winkler. "Is it Better to Average Probabilities or Quantiles?" Management Science 59, no. 7 (July 2013): 1594–1611.
- Article
Bringing Probability Judgments into Policy Debates via Forecasting Tournaments
By: Philip E. Tetlock, Barbara A. Mellers and J. Peter Scoblic
Political debates often suffer from vague-verbiage predictions that make it difficult to assess accuracy and improve policy. A tournament sponsored by the U.S. intelligence community revealed ways in which forecasters can better use probability estimates to make... View Details
Keywords: Tournaments; Politics; Depolarization; Knowledge Creation; Forecasting and Prediction; Government and Politics
Tetlock, Philip E., Barbara A. Mellers, and J. Peter Scoblic. "Bringing Probability Judgments into Policy Debates via Forecasting Tournaments." Science 355, no. 6324 (February 3, 2017): 481–483.
- 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.
- Article
Ensembles of Overfit and Overconfident Forecasts
By: Y. Grushka-Cockayne, V.R.R. Jose and K. C. Lichtendahl
Firms today average forecasts collected from multiple experts and models. Because of cognitive biases, strategic incentives, or the structure of machine-learning algorithms, these forecasts are often overfit to sample data and are overconfident. Little is known about... View Details
Grushka-Cockayne, Y., V.R.R. Jose, and K. C. Lichtendahl. "Ensembles of Overfit and Overconfident Forecasts." Management Science 63, no. 4 (April 2017): 1110–1130.
- 24 Nov 2010
- Working Paper Summaries
Valuation When Cash Flow Forecasts Are Biased
Keywords: by Richard S. Ruback
- 07 Jan 2019
- Research & Ideas
The Better Way to Forecast the Future
Grushka-Cockayne, that executives should adopt a similar approach when it comes to using probability forecasts of business-critical issues; for example, the likelihood that product demand will increase by a... View Details
- 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.
- 2015
- Working Paper
The Probability of Rare Disasters: Estimation and Implications
By: Emil Siriwardane
I analyze a rare disasters economy that yields a measure of the risk neutral probability of a macroeconomic disaster, p*t. A large panel of options data provides strong evidence that p*t is the single factor driving option-implied jump risk measures in the cross... View Details
Siriwardane, Emil. "The Probability of Rare Disasters: Estimation and Implications." Harvard Business School Working Paper, No. 16-061, November 2015.
- 20 Jun 2016
- Research & Ideas
When Predicting Other People's Preferences, You're Probably Wrong
implications for anyone looking to impress others, for those who are tasked with forecasting consumer behavior, or for salespeople who consult with customers on prospective purchases. In short, it’s dangerous to predict what others will... View Details
- 2018
- Working Paper
Bayesian Ensembles of Binary-Event Forecasts: When Is It Appropriate to Extremize or Anti-Extremize?
By: Kenneth C. Lichtendahl Jr., Yael Grushka-Cockayne, Victor Richmond R. Jose and Robert L. Winkler
Many organizations face critical decisions that rely on forecasts of binary events. In these situations, organizations often gather forecasts from multiple experts or models and average those forecasts to produce a single aggregate forecast. Because the average... View Details
Keywords: Forecast Aggregation; Linear Opinion Pool; Generalized Additive Model; Generalized Linear Model; Stacking.; Forecasting and Prediction
Lichtendahl, Kenneth C., Jr., Yael Grushka-Cockayne, Victor Richmond R. Jose, and Robert L. Winkler. "Bayesian Ensembles of Binary-Event Forecasts: When Is It Appropriate to Extremize or Anti-Extremize?" Harvard Business School Working Paper, No. 19-041, October 2018.
- Article
Trimmed Opinion Pools and the Crowd's Calibration Problem
By: Victor Richmond R. Jose, Yael Grushka-Cockayne and Kenneth C. Lichtendahl
We introduce an alternative to the popular linear opinion pool for combining individual probability forecasts. One of the well-known problems with the linear opinion pool is that it can be poorly calibrated. It tends toward underconfidence as the crowd's diversity... View Details
Jose, Victor Richmond R., Yael Grushka-Cockayne, and Kenneth C. Lichtendahl. "Trimmed Opinion Pools and the Crowd's Calibration Problem." Management Science 60, no. 2 (February 2014): 463–475.
- 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.)
- January 2021
- Case
The FIRE Savings Calculator
By: Michael Parzen and Paul Hamilton
This case follows Carol Muñoz, a member of the Financial Independence, Retire Early (FIRE) lifestyle movement. At the age of 45, Carol is considering retiring and living off the $1 million she has accumulated. Using Monte Carlo simulation, Carol forecasts the... View Details
- January 2001 (Revised July 2003)
- Case
Pharmacyclics: Financing Research & Development
By: Malcolm P. Baker, Richard S. Ruback and Aldo Sesia
Pharmacyclics (NASDAQ: PCYC), a pharmaceutical company that manufactures products that will improve existing therapeutic treatments for cancer, arteriosclerosis, and retinal disease, was considering a $60 million private placement in February 2000. The company had more... View Details
Keywords: Valuation; Cash Flow; Financing and Loans; Business Startups; Financial Strategy; Medical Devices and Supplies Industry; Pharmaceutical Industry; Health Industry
Baker, Malcolm P., Richard S. Ruback, and Aldo Sesia. "Pharmacyclics: Financing Research & Development." Harvard Business School Case 201-056, January 2001. (Revised July 2003.)
- 03 Dec 2015
- Op-Ed
How "New Nuclear" Power Could Save the Planet—If Regulators Would Allow It
Leaders from some 150 nations have convened in Paris this week for the COP21 conference with a singular goal: to fight the global threat of climate change. Each of them have brought to Paris their own national plan for reducing greenhouse gas emissions that drive... View Details
- 07 Oct 2024
- Research & Ideas
Election 2024: Why Demographics Won't Predict the Next President
Pundits love a political horse race, parsing the latest polls to predict who might win an election. And in the final runup to the US presidential contest, these forecasts can influence markets and shape public opinion and policies. But as... View Details
Keywords: by Jay Fitzgerald
- 12 Jul 2016
- First Look
July 12, 2016
forecasts as an input into the government budgeting-making process would probably reduce official forecast errors for budget deficits. Download working paper:... View Details
Keywords: Sean Silverthorne
- April 2022
- Article
Predictable Financial Crises
Using historical data on post-war financial crises around the world, we show that crises are substantially predictable. The combination of rapid credit and asset price growth over the prior three years, whether in the nonfinancial business or the household sector, is... View Details
Greenwood, Robin, Samuel G. Hanson, Andrei Shleifer, and Jakob Ahm Sørensen. "Predictable Financial Crises." Journal of Finance 77, no. 2 (April 2022): 863–921.
- August 2018
- Case
BlackBuck (A)
By: Shikhar Ghosh and Shweta Bagai
The case presents the challenges of scaling an asset-heavy company (that relies on its operations). It highlights how decisions on the early team impact a company’s ability to scale, linkage between growth and cash flows, as well the organizational impact of high... View Details