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09 May 2005
Research & Ideas

Hold or Fold? Sizing Up Business Risk

one this step is based on, is figuring out how you will know when to go for Options B or C and call it quits on the current game. To do this, we first assess what our best option seems to be based on: our satisfaction to date with the current game, our View Details

Keywords: by Eileen C. Shapiro & Howard H. Stevenson

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

Keywords: Decision Analysis; Data Science; Forecasting and Prediction; Data and Data Sets

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Article

Beacon and Warning: Sherman Kent, Scientific Hubris, and the CIA's Office of National Estimates

By: J. Peter Scoblic

Would-be forecasters have increasingly extolled the predictive potential of Big Data and artificial intelligence. This essay reviews the career of Sherman Kent, the Yale historian who directed the CIA’s Office of National Estimates from 1952 to 1967, with an eye toward... View Details

Keywords: National Security; Analytics and Data Science; Analysis; Forecasting and Prediction; History

2025
Working Paper

Warnings and Endorsements: Improving Human-AI Collaboration in the Presence of Outliers

By: Matthew DosSantos DiSorbo, Kris Ferreira, Maya Balakrishnan and Jordan Tong

Problem definition: While artificial intelligence (AI) algorithms may perform well on data that are representative of the training set (inliers), they may err when extrapolating on non-representative data (outliers). How can humans and algorithms work together to make... View Details

Keywords: AI and Machine Learning; Decision Choices and Conditions

August 2018 (Revised September 2018)
Case

LendingClub (A): Data Analytic Thinking (Abridged)

By: Srikant M. Datar and Caitlin N. Bowler

LendingClub was founded in 2006 as an alternative, peer-to-peer lending model to connect individual borrowers to individual investor-lenders through an online platform. Since 2014 the company has worked with institutional investors at scale. While the company assigns... View Details

Keywords: Data Science; Data Analytics; Investing; Loans; Investment; Financing and Loans; Analytics and Data Science; Analysis; Forecasting and Prediction; Business Model

Article

Why Do Pro Forma and Street Earnings Not Reflect Changes in GAAP? Evidence from SFAS 123R

By: Ian D. Gow, Mary E. Barth and Daniel Taylor

This study examines how key market participants—managers and analysts—responded to SFAS 123R's controversial requirement that firms recognize stock-based compensation expense. Despite mandated recognition of the expense, some firms' managers exclude it from pro forma... View Details

Keywords: Motivation and Incentives; Employee Stock Ownership Plan

October 2019
Article

Making Sense of Recommendations

By: Michael Yeomans, Anuj Shah, Sendhil Mullainathan and Jon Kleinberg

Computer algorithms are increasingly being used to predict people's preferences and make recommendations. Although people frequently encounter these algorithms because they are cheap to scale, we do not know how they compare to human judgment. Here, we compare computer... View Details

Keywords: Recommender Systems; Artificial Intelligence; Interpretability; Information Technology; Forecasting and Prediction; Decision Making; Attitudes

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July 1986 (Revised August 1987)
Background Note

Note on Comparative Advantage

By: David B. Yoffie and John J. Coleman

Discusses David Ricardo's theory of comparative advantage and the refinement of his model developed by Eli Heckscher and Bertil Ohlin. Presents several criticisms of the Heckscher-Ohlin theory, including Wassily Leontief's empirical demonstration that the nature of... View Details

Keywords: Business Model; Forecasting and Prediction; Macroeconomics; Trade; Theory

08 Dec 2010
Working Paper Summaries

Decoding Inside Information

Keywords: by Lauren Cohen, Christopher Malloy & Lukasz Pomorski; Financial Services

2008
Working Paper

Catering through Nominal Share Prices

By: Malcolm Baker, Robin Greenwood and Jeffrey Wurgler

We propose and test a catering theory of nominal stock prices. The theory predicts that when investors place higher valuation on low-price firms, managers will maintain share prices at lower levels, and vice-versa. Using measures of time-varying catering... View Details

Keywords: Stocks; Stock Shares; Investment; Investment Return; Price; Theory; Valuation

March 2002 (Revised December 2002)
Background Note

A Note on Corporate Venturing and New Business Creation

By: David A. Garvin

Presents an introduction and overview of corporate venturing. Describes the need for companies to create new businesses, the stages in the process, predictable problems and challenges, the strengths and weaknesses of alternative approaches such as internal venture... View Details

Keywords: Business Plan; Business Startups; Forecasting and Prediction; Venture Capital; Problems and Challenges

January–February 2023
Article

Forecasting COVID-19 and Analyzing the Effect of Government Interventions

By: Michael Lingzhi Li, Hamza Tazi Bouardi, Omar Skali Lami, Thomas Trikalinos, Nikolaos Trichakis and Dimitris Bertsimas

We developed DELPHI, a novel epidemiological model for predicting detected cases and deaths in the prevaccination era of the COVID-19 pandemic. The model allows for underdetection of infections and effects of government interventions. We have applied DELPHI across more... View Details

Keywords: COVID-19 Pandemic; Epidemics; Analytics and Data Science; Health Pandemics; AI and Machine Learning; Forecasting and Prediction

February 2024
Article

Representation and Extrapolation: Evidence from Clinical Trials

By: Marcella Alsan, Maya Durvasula, Harsh Gupta, Joshua Schwartzstein and Heidi L. Williams

This article examines the consequences and causes of low enrollment of Black patients in clinical trials. We develop a simple model of similarity-based extrapolation that predicts that evidence is more relevant for decision-making by physicians and patients when it... View Details

Keywords: Representation; Racial Disparity; Health Testing and Trials; Race; Equality and Inequality; Innovation and Invention; Pharmaceutical Industry

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03 Mar 2014
Research & Ideas

Facebook’s Future

Editor's note: Now 10 years old, Facebook's growth is starting to slow. That's one reason it purchased What'sApp last month in a jaw-dropping deal valued at $19 billion. What might the next decade be like? Harvard Business School Associate Professor Mikolaj Piskorski,... View Details

Keywords: by Mikolaj Piskorski

May 2012
Article

Complicated Firms

By: Lauren Cohen and Dong Lou

We exploit a novel setting in which the same piece of information affects two sets of firms: one set of firms requires straightforward processing to update prices, while the other set requires more complicated analyses to incorporate the same piece of information into... View Details

Keywords: Investment Portfolio; Information; Price; Forecasting and Prediction; Complexity; Mathematical Methods

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2001
Working Paper

When Does the Market Matter? Stock Prices and the Investment of Equity Dependent Firms

By: Malcolm Baker, Jeremy Stein and Jeffrey Wurgler

We use a simple model of corporate investment to determine when investment will be sensitive to non-fundamental movements in stock prices. The key cross-sectional prediction of the model is that stock prices will have a stronger impact on the investment of firms that... View Details

Keywords: Investment; Equity; Stocks; Price; Mathematical Methods; Forecasting and Prediction

August 2003
Article

When Does the Market Matter? Stock Prices and the Investment of Equity-Dependent Firms

By: Malcolm Baker, Jeremy Stein and Jeffrey Wurgler

We use a simple model of corporate investment to determine when investment will be sensitive to non-fundamental movements in stock prices. The key cross-sectional prediction of the model is that stock prices will have a stronger impact on the investment of firms that... View Details

Keywords: Stocks; Price; Investment; Equity; Forecasting and Prediction; Rank and Position; Markets

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2010
Working Paper

Decoding Inside Information

By: Lauren Cohen, Christopher Malloy and Lukasz Pomorski

Using a simple empirical strategy, we decode the information in insider trades. Exploiting the fact that insiders trade for a variety of reasons, we show that there is predictable, identifiable "routine" insider trading that is not informative for the future of firms.... View Details

Keywords: Forecasting and Prediction; Stocks; Financial Markets; Investment; Investment Return; Investment Portfolio; Market Transactions

2007
Working Paper

Irving Fisher, Economic Forecasting, and the Myth of the Business Cycle

By: Walter A. Friedman

A premier economist of the twentieth century and a founder of neoclassical thought, Irving Fisher was also an active participant in the field of economic forecasting. Fisher made theoretical contributions to the understanding of economic fluctuations, popularized the... View Details

Keywords: Forecasting and Prediction; Economics; Business Cycles; Business History; Newspapers; Personal Development and Career

25 Apr 2007
Research & Ideas

Feeling Stuck? Getting Past Impasse

the crisis. We realize that our old ways are not working. It's not a matter of staying up late, working harder, and getting in earlier. Emotionally there's the feeling of being stuck. And then some predictable things happen in the second... View Details

Keywords: by Martha Lagace

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