Publications

04 Dec 2019
Working Paper Summaries

Pathways to Materiality: How Sustainability Issues Become Financially Material to Corporations and Their Investors

Keywords: by Jean Rogers and George Serafeim

September–October 2020
Article

Managing Churn to Maximize Profits

By: Aurelie Lemmens and Sunil Gupta

Customer defection threatens many industries, prompting companies to deploy targeted, proactive customer retention programs and offers. A conventional approach has been to target customers either based on their predicted churn probability or their responsiveness to a... View Details

Keywords: Churn Management; Defection Prediction; Loss Function; Stochastic Gradient Boosting; Customer Relationship Management; Consumer Behavior; Profit

SSRN

December 2013
Article

Legislating Stock Prices

By: Lauren Cohen, Karl Diether and Christopher Malloy

We demonstrate that legislation has a simple, yet previously undetected impact on stock prices. Exploiting the voting record of legislators whose constituents are the affected industries, we show that the votes of these "interested" legislators capture important... View Details

Keywords: Legislator Incentives; Voting; Return Predictability; Lobbying; Motivation and Incentives; Government Legislation; Stocks

2000
Other Unpublished Work

New Trading Practices and the Short-run Predictability of the S&P 500: Market Volatility and Investor Confidence, Report to the Board of Directors of the New York Stock Exchange, Inc.

By: André Perold

Keywords: Stocks; Financial Markets; Governing Rules, Regulations, and Reforms; Capital Markets; Volatility; Market Timing

July 2019
Article

I Know Why You Voted for Trump: (Over)inferring Motives Based on Choice

By: Kate Barasz, Tami Kim and Ioannis Evangelidis

People often speculate about why others make the choices they do. This paper investigates how such inferences are formed as a function of what is chosen. Specifically, when observers encounter someone else's choice (e.g., of political candidate), they use the chosen... View Details

Keywords: Self-other Difference; Social Perception; Inference-making; Preferences; Consumer Behavior; Prediction; Prediction Error; Decision Choices and Conditions; Perception; Behavior; Forecasting and Prediction

September 2010
Supplement

New Heritage Doll Company, Faculty Spreadsheet Supplement (Brief Case)

By: Timothy A. Luehrman and Heide Abelli

Keywords: Forecasting; Resource Management; Resource Allocation; Forecasting and Prediction; Capital Budgeting

Purchase

April 2012
Article

Share Issuance and Factor Timing

By: Robin Greenwood and Samuel G. Hanson

We show that characteristics of stock issuers can be used to forecast important common factors in stocks' returns such as those associated with book-to-market, size, and industry. Specifically, we use differences between the attributes of stock issuers and repurchasers... View Details

Keywords: Investment Portfolio; Stock Shares; Forecasting and Prediction; Investment Return; Policy; Profit

Article

Algorithms Need Managers, Too

By: Michael Luca, Jon Kleinberg and Sendhil Mullainathan

Algorithms are powerful predictive tools, but they can run amok when not applied properly. Consider what often happens with social media sites. Today many use algorithms to decide which ads and links to show users. But when these algorithms focus too narrowly on... View Details

Keywords: Machine Learning; Algorithms; Predictive Analytics; Management; Big Data; Analytics and Data Science

Register to Read

April 2013
Case

Managing with Analytics at Procter & Gamble

By: Thomas H. Davenport, Marco Iansiti and Alain Serels

Senior management at P&G has put a strong emphasis on using data to make "better, smarter, real-time business decisions." The Global Business Services (GBS) organization has developed tools, systems and processes to provide managers throughout P&G with direct access to... View Details

Keywords: Analytics; Data Management; Forecasting; Shared Services; Procter ＆ Gamble; Laundry Detergent; Information Management; Forecasting and Prediction; Information Technology; Mathematical Methods; Consumer Products Industry; North America

Educators

Purchase

10 May 2019
Working Paper Summaries

Consumer Inertia and Market Power

Keywords: by Alexander MacKay and Marc Remer

Article

Getting the Most Out of Giving: Concretely Framing a Prosocial Goal Maximizes Happiness

By: Melanie Rudd, Jennifer Aaker and Michael I. Norton

Across six field and laboratory experiments, participants assigned a more concretely-framed prosocial goal (e.g., making someone smile or increasing recycling) felt happier and reported creating greater personal happiness after performing a goal-directed act of... View Details

Keywords: Prosocial Behavior; Goal Framing; Affective Forecasting; Goals and Objectives; Happiness; Philanthropy and Charitable Giving

08 Nov 2016
Working Paper Summaries

Managers' Cultural Background and Disclosure Attributes

Keywords: by Francois Brochet, Gregory S. Miller, Patricia Naranjo, and Gwen Yu

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

2010
Other Unpublished Work

Share Issuance and Factor Timing

By: Robin Greenwood and Samuel Hanson

We show that characteristics of stock issuers can be used to forecast important common factors in stocks returns such as those associated with book-to-market, size, and industry. Specifically, we use differences between the attributes of stock issuers and repurchasers... View Details

Keywords: Forecasting and Prediction; Equity; Stocks; Stock Shares; Investment Return; Investment Portfolio; Price; Performance Evaluation

SSRN

Teaching Interest

Overview

Paul is primarily interested in teaching data science to management students through the case method. This includes technical topics (programming and statistics) as well as higher-level management issues (digital transformation, data governance, etc.) As a research... View Details

Keywords: A/B Testing; AI; AI Algorithms; AI Creativity; Algorithm; Algorithm Bias; Algorithmic Bias; Algorithmic Fairness; Algorithms; Analytics; Application Program Interface; Artificial Intelligence; Causality; Causal Inference; Computing; Computers; Data Analysis; Data Analytics; Data Architecture; Data As A Service; Data Centers; Data Governance; Data Labeling; Data Management; Data Manipulation; Data Mining; Data Ownership; Data Privacy; Data Protection; Data Science; Data Science And Analytics Management; Data Scientists; Data Security; Data Sharing; Data Strategy; Data Visualization; Database; Data-driven Decision-making; Data-driven Management; Data-driven Operations; Datathon; Economics Of AI; Economics Of Innovation; Economics Of Information System; Economics Of Science; Forecast; Forecast Accuracy; Forecasting; Forecasting And Prediction; Information Technology; Machine Learning; Machine Learning Models; Prediction; Prediction Error; Predictive Analytics; Predictive Models; Analysis; AI and Machine Learning; Analytics and Data Science; Applications and Software; Digital Transformation; Information Management; Digital Strategy; Technology Adoption

09 Jun 2020
News

Fed action, debt markets and stocks

07 Oct 2016
Working Paper Summaries

Sovereign Debt Portfolios, Bond Risks, and the Credibility of Monetary Policy

Keywords: by Wenxin Du, Carolin E. Pflueger, and Jesse Schreger

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

Winter 2022
Article

Determinants of Small Business Reopening Decisions After COVID Restrictions Were Lifted

By: Dylan Balla-Elliott, Zoë B. Cullen, Edward L. Glaeser, Michael Luca and Christopher Stanton

The COVID-19 pandemic led to dramatic economic disruptions, including government-imposed restrictions that temporarily shuttered millions of American businesses. We use a nation-wide survey of thousands of small business owners to establish three main facts about... View Details

Keywords: COVID-19; Demand Forecasting; Reopening; Health Pandemics; Government Administration; Small Business