Publications

2021
Article

An Empirical Examination of Sell-Side Brokerage Analysts' Published Research, Concierge Services, and High-Touch Services

By: David A. Maber, Boris Groysberg and Paul M. Healy

This paper uses a proprietary panel dataset to categorize and quantify the activities that sell-side brokerage analysts use to build and sustain their network of buy-side client relations. We then examine the marginal impact of these activities on key analyst outcome... View Details

Keywords: Sell-side Analysts; Analyst Ratings; Brokerage Commissions; Earnings Forecasts

May 2018
Article

Nowcasting Gentrification: Using Yelp Data to Quantify Neighborhood Change

By: Edward L. Glaeser, Hyunjin Kim and Michael Luca

Data from digital platforms have the potential to improve our understanding of gentrification and enable new measures of how neighborhoods change in close to real time. Combining data on businesses from Yelp with data on gentrification from the Census, Federal Housing... View Details

Keywords: Forecasting Models; Simulation Methods; Regional Economic Activity: Growth, Development, Environmental Issues, And Changes; Geographic Location; Local Range; Transition; Analytics and Data Science; Measurement and Metrics; Economic Growth; Forecasting and Prediction

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

February 2019
Case

Miroglio Fashion (A)

By: Sunil Gupta and David Lane

Francesco Cavarero, chief information officer of Miroglio Fashion, Italy’s third-largest retailer of women’s apparel, was trying to bring analytical rigor to the company’s forecasting and inventory management decisions. But fashion is inherently hard to predict. Can... View Details

Keywords: Inventory Management; Demand Forecasting; Artificial Intelligence; Machine Learning; Forecasting and Prediction; Operations; Management; Decision Making; AI and Machine Learning; Apparel and Accessories Industry; Apparel and Accessories Industry

Educators

05 Feb 2019
Working Paper Summaries

Stereotypes and Belief Updating

Keywords: by Katherine B. Coffman, Manuela Collis, and Leena Kulkarni

11 Jul 2018
Working Paper Summaries

Channeled Attention and Stable Errors

Keywords: by Tristan Gagnon-Bartsch, Matthew Rabin, and Joshua Schwartzstein

09 Mar 2021
Working Paper Summaries

Stock Price Reactions to ESG News: The Role of ESG Ratings and Disagreement

Keywords: by George Serafeim and Aaron Yoon; Financial Services

September 2010
Teaching Note

New Heritage Doll Company (Brief Case)

By: Timothy A. Luehrman and Heide Abelli

Teaching Note for 4212. View Details

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

June 2009 (Revised March 2010)
Supplement

Hansson Private Label, Inc.: Evaluating an Investment in Expansion, Student Spreadsheet (Brief Case)

By: Erik Stafford and Joel L. Heilprin

Keywords: Present Value; Forecasting; Expansion; Valuation; Forecasting and Prediction; Capital Budgeting

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

2016
Book

Innovation Equity: Assessing and Managing the Monetary Value of New Products and Services

By: Elie Ofek, Eitan Muller and Barak Libai

This book bridges the gap between what academics know, and what innovation stakeholders—from managers, to investors, to analysts, to consumers—need to know about how new products and services are expected to perform in the marketplace. The book develops a compelling... View Details

Keywords: Innovation; Technology Diffusion; New Products; Customer Lifetime Value; Monetization Strategy; Social Influence; Innovation Adoption; Forecasting Demand; Commercialization; Marketing Strategy; Practice; Customer Value and Value Chain; Research; Innovation and Management; Technology Adoption; Forecasting and Prediction; Product Development

04 Jun 2019
Working Paper Summaries

Political Influence and Merger Antitrust Reviews

Keywords: by Mihir N. Mehta, Suraj Srinivasan, and Wanli Zhao

15 Jun 2004
Conference Presentation

What is the Best Measure of Adiposity for Predicting Testosterone? Results from the Massachusetts Male Aging Study

By: William B. Simpson, Frances J. Hayes, Andre B. Araujo and John B. McKinlay

Keywords: Measurement and Metrics; Health Testing and Trials; Age Characteristics; Gender Characteristics; Massachusetts

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

Read Now

June 2010 (Revised July 2011)
Teaching Note

Classic Knitwear and Guardian: A Perfect Fit? (Brief Case)

By: John A. Quelch and Patricia Girardi

Teaching Note for 4217. View Details

Keywords: Market Research; Forecasting; Consumer Marketing; New Product Marketing; Product Lines; Merchandising; Branding; Research; Marketing Channels; Forecasting and Prediction; Product Launch; Brands and Branding

2019
Working Paper

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

Read Now

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