Publications

December 2009
Article

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 incentives... View Details

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

31 Oct 2004
What Do You Think?

Should the Wisdom of Crowds Influence Our Thinking About Leadership?

have been found to be better than a few experts at everything from estimating the true magnitude of things (as in guessing the number of jelly beans in a jar) to diagnosing causes of problems (as in determining that the O-ring seals were the primary cause of the... View Details

Keywords: by James Heskett

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

October 2010
Article

Culture Clash: The Costs and Benefits of Homogeneity

By: Eric Van den Steen

This paper develops an economic theory of the costs and benefits of corporate culture-in the sense of shared beliefs and values in order to study the effects of "culture clash" in mergers and acquisitions. I first use a simple analytical framework to show that shared... View Details

Keywords: Cost vs Benefits; Organizational Culture; Economics; Information Management; Forecasting and Prediction; Values and Beliefs; Mergers and Acquisitions; Framework; Satisfaction; Motivation and Incentives; Power and Influence; Communication

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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

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

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

07 Apr 2003
What Do You Think?

Should Global Business Initiatives Be Devalued?

recently, has been unthinkable: that global initiatives in many cases should be devalued, discounted, or postponed in relation to more predictable business investments "closer to home?" What do you think? View Details

Keywords: by James Heskett

October 2022 (Revised December 2022)
Case

SMART: AI and Machine Learning for Wildlife Conservation

By: Brian Trelstad and Bonnie Yining Cao

Spatial Monitoring and Reporting Tool (SMART), a set of software and analytical tools designed for the purpose of wildlife conservation, had demonstrated significant improvements in patrol coverage, with some observed reductions in poaching and contributing to wildlife... View Details

Keywords: Business and Government Relations; Emerging Markets; Technology Adoption; Strategy; Management; Ethics; Social Enterprise; AI and Machine Learning; Analytics and Data Science; Natural Environment; Technology Industry; Cambodia; United States; Africa

Educators

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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

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23 Aug 2013
Working Paper Summaries

Waves in Ship Prices and Investment

Keywords: by Robin Greenwood & Samuel Hanson

1994
Article

Three-dimensional Finite Element Modeling of a Cervical Vertebra: An Investigation of Burst Fracture Mechanism

By: Kevin J. Bozic, J H Keyak, H B Skinner, H U Bueff and David Bradford

Finite element modeling was used to study the mechanical behavior of a cervical vertebra under axial compressive loading. A three-dimensional (3-D) finite element (FE) model of a mid-cervical vertebra using inhomogeneous material properties was generated from... View Details

Keywords: Performance Expectations; Strength and Weakness; Health; Mathematical Methods; Health Industry

26 Nov 2018
Working Paper Summaries

Demand Estimation in Models of Imperfect Competition

Keywords: by Alexander MacKay and Nathan H. Miller

08 Nov 2018
Cold Call Podcast

Could Big Data Replace the Creative Director at the Gap?

Keywords: Re: Ayelet Israeli; Fashion; Retail

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

09 Jun 2020
Working Paper Summaries

Aggregate and Firm-Level Stock Returns During Pandemics, in Real Time

Keywords: by Laura Alfaro, Anusha Chari, Andrew Greenland, and Peter K. Schott

Winter 2016
Article

Analytics for an Online Retailer: Demand Forecasting and Price Optimization

By: Kris J. Ferreira, Bin Hong Alex Lee and David Simchi-Levi

We present our work with an online retailer, Rue La La, as an example of how a retailer can use its wealth of data to optimize pricing decisions on a daily basis. Rue La La is in the online fashion sample sales industry, where they offer extremely limited-time... View Details

Keywords: Internet and the Web; Price; Forecasting and Prediction; Revenue; Sales; Retail Industry