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(113)
- Faculty Publications (13)
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- October 2024
- Article
Canary Categories
By: Eric Anderson, Chaoqun Chen, Ayelet Israeli and Duncan Simester
Past customer spending in a category is generally a positive signal of future customer spending. We show that there exist “canary categories” for which the reverse is true. Purchases in these categories are a signal that customers are less likely to return to that... View Details
Keywords: Churn; Churn Management; Churn/retention; Assortment Planning; Retail; Retailing; Retailing Industry; Preference Heterogeneity; Assortment Optimization; Customers; Retention; Consumer Behavior; Forecasting and Prediction; Retail Industry
Anderson, Eric, Chaoqun Chen, Ayelet Israeli, and Duncan Simester. "Canary Categories." Journal of Marketing Research (JMR) 61, no. 5 (October 2024): 872–890.
- April 2022
- Article
Predictable Financial Crises
Using historical data on post-war financial crises around the world, we show that crises are substantially predictable. The combination of rapid credit and asset price growth over the prior three years, whether in the nonfinancial business or the household sector, is... View Details
Greenwood, Robin, Samuel G. Hanson, Andrei Shleifer, and Jakob Ahm Sørensen. "Predictable Financial Crises." Journal of Finance 77, no. 2 (April 2022): 863–921.
- January 2021
- Case
The FIRE Savings Calculator
By: Michael Parzen and Paul Hamilton
This case follows Carol Muñoz, a member of the Financial Independence, Retire Early (FIRE) lifestyle movement. At the age of 45, Carol is considering retiring and living off the $1 million she has accumulated. Using Monte Carlo simulation, Carol forecasts the... View Details
- Article
Towards Robust and Reliable Algorithmic Recourse
By: Sohini Upadhyay, Shalmali Joshi and Himabindu Lakkaraju
As predictive models are increasingly being deployed in high-stakes decision making (e.g., loan
approvals), there has been growing interest in post-hoc techniques which provide recourse to affected
individuals. These techniques generate recourses under the assumption... View Details
Keywords: Machine Learning Models; Algorithmic Recourse; Decision Making; Forecasting and Prediction
Upadhyay, Sohini, Shalmali Joshi, and Himabindu Lakkaraju. "Towards Robust and Reliable Algorithmic Recourse." Advances in Neural Information Processing Systems (NeurIPS) 34 (2021).
- January 2019
- Article
Bubbles for Fama
By: Robin Greenwood, Andrei Shleifer and Yang You
We evaluate Eugene Fama's claim that stock prices do not exhibit price bubbles. Based on U.S. industry returns 1926–2014 and international sector returns 1985–2014, we present four findings: (1) Fama is correct in that a sharp price increase of an industry portfolio... View Details
Keywords: Bubble; Market Efficiency; Predictability; Price Bubble; Stocks; Price; Forecasting and Prediction
Greenwood, Robin, Andrei Shleifer, and Yang You. "Bubbles for Fama." Journal of Financial Economics 131, no. 1 (January 2019): 20–43. (Internet Appendix Here.)
- August 2018
- Case
BlackBuck (A)
By: Shikhar Ghosh and Shweta Bagai
The case presents the challenges of scaling an asset-heavy company (that relies on its operations). It highlights how decisions on the early team impact a company’s ability to scale, linkage between growth and cash flows, as well the organizational impact of high... View Details
- 2015
- Working Paper
The Probability of Rare Disasters: Estimation and Implications
By: Emil Siriwardane
I analyze a rare disasters economy that yields a measure of the risk neutral probability of a macroeconomic disaster, p*t. A large panel of options data provides strong evidence that p*t is the single factor driving option-implied jump risk measures in the cross... View Details
Siriwardane, Emil. "The Probability of Rare Disasters: Estimation and Implications." Harvard Business School Working Paper, No. 16-061, November 2015.
- 2011
- Article
A Choice Prediction Competition for Social Preferences in Simple Extensive Form Games: An Introduction
By: Eyal Ert, Ido Erev and Alvin E. Roth
Two independent, but related, choice prediction competitions are organized that focus on behavior in simple two-person extensive form games: one focuses on predicting the choices of the first mover and the other on predicting the choices of the second mover. The... View Details
Keywords: Forecasting and Prediction; Behavior; Decision Choices and Conditions; Competition; Motivation and Incentives; Game Theory; Fairness
Ert, Eyal, Ido Erev, and Alvin E. Roth. "A Choice Prediction Competition for Social Preferences in Simple Extensive Form Games: An Introduction." Special Issue on Predicting Behavior in Games. Games 2, no. 3 (September 2011): 257–276.
- January 2011
- Article
Good Intentions, Optimistic Self-Predictions, and Missed Opportunities
By: Derek Koehler, Rebecca White and Leslie K. John
Self-predictions are highly sensitive to current intentions but often largely insensitive to factors influencing the readiness with which those intentions are translated into future behavior. When such factors are under a person's control, they could be used to... View Details
Koehler, Derek, Rebecca White, and Leslie K. John. "Good Intentions, Optimistic Self-Predictions, and Missed Opportunities." Social Psychological & Personality Science 2, no. 1 (January 2011): 90–96.
- 2010
- Working Paper
Valuation When Cash Flow Forecasts Are Biased
This paper focuses adaptations to the discount cash flow (DCF) method when valuing forecasted cash flows that are biased measures of expected cash flows. I imagine a simple setting where the expected cash flows equal the forecasted cash flows plus an omitted downside.... View Details
Keywords: Forecasting and Prediction; Cash Flow; Cost of Capital; Performance Expectations; Prejudice and Bias; Valuation
Ruback, Richard S. "Valuation When Cash Flow Forecasts Are Biased." Harvard Business School Working Paper, No. 11-036, October 2010.
- June 2009
- Article
Highbrow Films Gather Dust: Time-inconsistent Preferences and Online DVD Rentals
By: Katherine L. Milkman, Todd Rogers and Max H. Bazerman
We report on a field study demonstrating systematic differences between the preferences people anticipate they will have over a series of options in the future and their subsequent revealed preferences over those options. Using a novel panel data set, we analyze the... View Details
Keywords: Decision Choices and Conditions; Forecasting and Prediction; Film Entertainment; Demand and Consumers; Renting or Rental; Power and Influence; Prejudice and Bias; Online Technology; Motion Pictures and Video Industry
Milkman, Katherine L., Todd Rogers, and Max H. Bazerman. "Highbrow Films Gather Dust: Time-inconsistent Preferences and Online DVD Rentals." Management Science 55, no. 6 (June 2009): 1047–1059.
- January 2001 (Revised July 2003)
- Case
Pharmacyclics: Financing Research & Development
By: Malcolm P. Baker, Richard S. Ruback and Aldo Sesia
Pharmacyclics (NASDAQ: PCYC), a pharmaceutical company that manufactures products that will improve existing therapeutic treatments for cancer, arteriosclerosis, and retinal disease, was considering a $60 million private placement in February 2000. The company had more... View Details
Keywords: Valuation; Cash Flow; Financing and Loans; Business Startups; Financial Strategy; Medical Devices and Supplies Industry; Pharmaceutical Industry; Health Industry
Baker, Malcolm P., Richard S. Ruback, and Aldo Sesia. "Pharmacyclics: Financing Research & Development." Harvard Business School Case 201-056, January 2001. (Revised July 2003.)
- Teaching Interest
Decision Making Under Uncertainty
By: David E. Bell
Many of the decisions we face are made complicated by having uncertain consequences: how should I set my inventory when I don’t know what demand will be, should I refinance my mortgage when rates might go lower, how big a bet shall I make in a new business, and so... View Details