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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

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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December 2019
Case

Forecasting ClimaCell

By: Joshua Lev Krieger, Christopher Stanton and James Barnett

A weather technology startup, ClimaCell considers the R&D trade-offs and financing implications of pursuing a proposed contract with a major automobile maker, rather than continuing its focus on building a scalable, all-purpose weather prediction engine. View Details

Keywords: Weather; Forecasting and Prediction; Technological Innovation; Research and Development; Finance; Cost vs Benefits; Decision Making; Strategy

May 2006
Case

Nokia in 2003

By: Paul M. Healy

Examines the challenges facing a money manager who owns stock in Nokia, the leading wireless handset provider. Two analysts covering the stock make very different predictions about the economies of the industry, Nokia's future performance, and stock recommendations.... View Details

Keywords: Financial Reporting; Forecasting and Prediction; Performance Effectiveness; Performance Evaluation; Problems and Challenges; Electronics Industry

October–December 2022
Article

Achieving Reliable Causal Inference with Data-Mined Variables: A Random Forest Approach to the Measurement Error Problem

By: Mochen Yang, Edward McFowland III, Gordon Burtch and Gediminas Adomavicius

Combining machine learning with econometric analysis is becoming increasingly prevalent in both research and practice. A common empirical strategy involves the application of predictive modeling techniques to "mine" variables of interest from available data, followed... View Details

Keywords: Machine Learning; Econometric Analysis; Instrumental Variable; Random Forest; Causal Inference; AI and Machine Learning; Forecasting and Prediction

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2017
Working Paper

Investment Timing with Costly Search for Financing

By: Samuel Antill

I develop a dynamic model of investment timing in which firms must first choose when to search for external financing. Search is costly and the arrival of investors is uncertain, leading to delay in financing and investment. Depending on parameters, my model can... View Details

Keywords: Real Options; Search And Bargaining; Time-varying Financial Conditions; Investment; Venture Capital; Mathematical Methods

2024
Working Paper

Finance Without Exotic Risk

By: Pedro Bordalo, Nicola Gennaioli, Rafael La Porta and Andrei Shleifer

We address the joint hypothesis problem in cross-sectional asset pricing by using measured analyst expectations of earnings growth. We construct a firm-level measure of Expectations Based Returns (EBRs) that uses analyst forecast errors and revisions and shuts down any... View Details

Keywords: Investment Return; Financial Markets; Behavioral Finance; Risk and Uncertainty

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Article

Measuring Audit Quality

By: Shivaram Rajgopal, Suraj Srinivasan and Xin Zheng

In this paper, we document 45 specific allegations related to audit deficiencies based on GAAS, as detailed in 141 AAERs and 153 securities class action lawsuits over the violation years 1978–2016. Next, we use these allegations to validate existing popular proxies of... View Details

Keywords: Audit Quality; Audit Deficiency; AAER; Securities Class Action Lawsuits; Enforcement; Accounting Audits; Quality; Measurement and Metrics

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July – August 2008
Article

When Virtue Is a Vice

By: Anat Keinan and Ran Kivetz

Choosing duty over pleasure today can cause regret down the road—whereas regret over the reverse is fleeting. Marketers of luxury products and services should consider prompting customers to predict their future feelings about choices made now. View Details

Keywords: Decision Choices and Conditions; Forecasting and Prediction; Moral Sensibility; Marketing Strategy; Consumer Behavior; Emotions; Luxury

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October 2000
Article

The Equity Share in New Issues and Aggregate Stock Returns

By: Malcolm Baker and Jeffrey Wurgler

The share of equity issues in total new equity and debt issues is a strong predictor of U.S. stock market returns between 1928 and 1997. In particular, firms issue more equity than debt just before periods of low market returns. The equity share in new issues has... View Details

Keywords: Equity; Borrowing and Debt; Stocks; Markets; Debt Securities; Forecasting and Prediction; Accounting Industry; United States

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Forthcoming
Article

An AI Method to Score Celebrity Visual Potential from Human Faces

By: Flora Feng, Shunyuan Zhang, Xiao Liu, Kannan Srinivasan and Cait Lamberton

It has long been a mantra of marketing practice that, particularly in low-involvement situations, spokespeople should be physically attractive. This paper suggests there is a higher probability of gaining fame and influence (i.e., celebrity potential) than is captured... View Details

Keywords: Personal Characteristics; AI and Machine Learning; Forecasting and Prediction; Marketing

August 2017
Article

Is the SEC Captured? Evidence from Comment-Letter Reviews

By: Jonas Heese, Mozaffar Khan and Karthik Ramanna

SEC oversight of publicly listed firms ranges from comment letter (CL) reviews of firms’ reporting compliance to pursuing enforcement actions against violators. Prior literature finds that firm political connections (PC) negatively predict enforcement actions,... View Details

Keywords: Comment Letters; Political Connections; Regulatory Capture; SEC Enforcement; Government Administration; Business and Government Relations; Government and Politics

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December 2023
Article

Save More Today or Tomorrow: The Role of Urgency in Precommitment Design

By: Joseph Reiff, Hengchen Dai, John Beshears, Katherine L. Milkman and Shlomo Benartzi

To encourage farsighted behaviors, past research suggests that marketers may be wise to invite consumers to pre-commit to adopt them “later.” However, the authors propose that people will draw different inferences from different types of pre-commitment offers, and that... View Details

Keywords: Consumer Behavior; Decision Choices and Conditions

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March 2024
Article

The Asymmetric Mispricing Information in Analysts’ Target Prices

By: Jeremiah Green, John R. M. Hand and Anywhere Sikochi

We study the mispricing information present in the target prices of U.S. and international analysts. We hypothesize that asymmetry in the value-relevance of the information that managers supply to analysts, combined with asymmetry in the incentives facing analysts to... View Details

Keywords: Analysts; Target Prices; Mispricing; Cost Of Equity; Valuation; Price; Cost; Analysis; Theory

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Research Summary

The Role of Financial and Information Intermediaries in the Capital Markets

Hutton's research investigates the role of financial analysts and short sellers in the pricing of equity securities. Recently, Hutton examines (with Patricia Dechow and Richard Sloan) the role of sell-side analysts' earnings forecasts in the pricing of common equity... View Details

Research Summary

Implications of Limits of Arbitrage (with James Choi)

In this project we investigate the relationship between limits to arbitrage facing mutual fund managers and asset pricing anomalies. We measure changes in the limits to arbitrage by computing the average of slopes on current and past returns in quarterly... View Details

August–September 2012
Article

The Future of Boards: Meeting the Governance Challenges of the 21st Century

By: Jay W. Lorsch

Predicting the challenges boards will face in the years ahead requires an understanding of how they and the governance they have provided has evolved in past years, as well as the challenges they face in the years ahead. Since I have been serving on and doing research... View Details

Keywords: Boards Of Directors; Corporate Governance; Governance; Succession; Compensation; Governing and Advisory Boards

2014
Working Paper

Visualizing and Measuring Software Portfolio Architectures: A Flexibility Analysis

By: Robert Lagerstrom, Carliss Y. Baldwin, Alan MacCormack and David Dreyfus

In this paper, we test a method for visualizing and measuring software portfolio architectures and use our measures to predict the costs of architectural change. Our data is drawn from a biopharmaceutical company, comprising 407 architectural components with 1,157... View Details

Keywords: Design Structure Matrices; Software Architecture; Flexibility; Software Application Portfolio; Complexity; Applications and Software; Forecasting and Prediction

2019
Book

The Age of Surveillance Capitalism: The Fight for a Human Future at the New Frontier of Power

By: Shoshana Zuboff

In this masterwork of original thinking and research, Shoshana Zuboff provides startling insights into the phenomenon that she has named surveillance capitalism. The stakes could not be higher: a global architecture of behavior modification threatens human nature in... View Details

Keywords: Consumer Profiling; Consumer Behavior; Forecasting and Prediction; Information Technology; Power and Influence; Ethics; Society; Transformation

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February 2018
Supplement

People Analytics at Teach For America (B)

By: Jeffrey T. Polzer and Julia Kelley

This is a supplement to the People Analytics at Teach For America (A) case. In this supplement, Managing Director Michael Metzger must decide how to extend his team’s predictive analytics work using Natural Language Processing (NLP) techniques. View Details

Keywords: Analytics and Data Science; Forecasting and Prediction; Recruitment; Analysis

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