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Publications

Filter Results: (116) Arrow Down
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  • All HBS Web  (116)
    • News  (8)
    • Research  (92)
  • Faculty Publications  (25)

Show Results For

  • All HBS Web  (116)
    • News  (8)
    • Research  (92)
  • Faculty Publications  (25)
Page 1 of 116 Results →
  • 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
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Ferreira, Kris J., Bin Hong Alex Lee, and David Simchi-Levi. "Analytics for an Online Retailer: Demand Forecasting and Price Optimization." Manufacturing & Service Operations Management 18, no. 1 (Winter 2016): 69–88.
  • 11 Dec 2015
  • News

Analytics in Online Flash Sales: Demand Forecasting and Price Optimization

  • 1972
  • Chapter

Optimal Utilization of Market Forecasts and the Evaluation of Portfolio Performance

By: Michael Jensen
Keywords: Investment Portfolio; Financial Markets; Forecasting and Prediction; Performance Evaluation
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Jensen, Michael. "Optimal Utilization of Market Forecasts and the Evaluation of Portfolio Performance." In Mathematical Methods in Finance, edited by G. P. Szego and Karl Shell. North-Holland Publishing Company, 1972.
  • 2018
  • Working Paper

Quantile Forecasts of Product Life Cycles Using Exponential Smoothing.

By: Xiaojia Guo, Kenneth C. Lichtendahl Jr. and Yael Grushka-Cockayne
We introduce an exponential smoothing model that a manager can use to forecast the demand of a new product or service. The model has five features that make it suitable for accurately forecasting product life cycles at scale. First, the trend in our model follows the... View Details
Keywords: New Product Development; Demand Forecasting; Product Adoption; Innovation Diffusion; Product Development; Demand and Consumers; Forecasting and Prediction; Adoption
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Guo, Xiaojia, Kenneth C. Lichtendahl Jr., and Yael Grushka-Cockayne. "Quantile Forecasts of Product Life Cycles Using Exponential Smoothing." Harvard Business School Working Paper, No. 19-038, October 2018. (Darden Business School Working Paper, No. 2805244, July 2016.)
  • 2018
  • Working Paper

Forecasting Airport Transfer Passenger Flow Using Real-Time Data and Machine Learning

By: Xiaojia Guo, Yael Grushka-Cockayne and Bert De Reyck
Problem definition: In collaboration with Heathrow Airport, we develop a predictive system that generates quantile forecasts of transfer passengers’ connection times. Sampling from the distribution of individual passengers’ connection times, the system also produces... View Details
Keywords: Quantile Forecasts; Regression Tree; Copula; Passenger Flow Management; Data-driven Operations; Forecasting and Prediction; Data and Data Sets
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Guo, Xiaojia, Yael Grushka-Cockayne, and Bert De Reyck. "Forecasting Airport Transfer Passenger Flow Using Real-Time Data and Machine Learning." Harvard Business School Working Paper, No. 19-040, October 2018.
  • April 2010
  • Case

Metabical: Pricing, Packaging, and Demand Forecasting Recommendations for a New Weight Loss Drug

By: John A. Quelch and Heather Beckham
Metabical is a new weight loss drug from Cambridge Sciences Pharmaceuticals intended for moderately overweight individuals. In anticipation of final FDA approval, the senior director of marketing, Barbara Printup, prepares for the product launch and must make several... View Details
Keywords: Return On Investment; Forecasting; Pricing Policies; Demand Planning; Marketing Strategy; Price; Consumer Behavior; Investment Return; Forecasting and Prediction; Product Launch; Planning; Brands and Branding; Pharmaceutical Industry
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Quelch, John A., and Heather Beckham. "Metabical: Pricing, Packaging, and Demand Forecasting Recommendations for a New Weight Loss Drug." Harvard Business School Brief Case 104-183, April 2010.
  • 2023
  • Working Paper

The Optimal Stock Valuation Ratio

By: Sebastian Hillenbrand and Odhrain McCarthy
Trailing price ratios, such as the price-dividend and the price-earnings ratio, scale prices by trailing cash flow measures. They theoretically contain expected returns, yet, their performance in predicting stock market returns is poor. This is because of an omitted... View Details
Keywords: Price; Investment Return; AI and Machine Learning; Valuation; Cash Flow; Forecasting and Prediction
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Hillenbrand, Sebastian, and Odhrain McCarthy. "The Optimal Stock Valuation Ratio." Working Paper, November 2023.
  • 24 Nov 2010
  • Working Paper Summaries

Valuation When Cash Flow Forecasts Are Biased

Keywords: by Richard S. Ruback
  • 2025
  • Working Paper

Government-Brokerage Analysts and Market Stabilization: Evidence from China

By: Sheng Cao, Xianjie He, Charles C.Y. Wang and Huifang Yin
We show analysts at government-controlled brokerage firms serve as a market stabilization tool in China. Using earnings forecasts from 2005–2019, we find government-brokerage analysts issue relatively more optimistic—yet less accurate and timely—forecasts during... View Details
Keywords: Sell-side Analysts; Forecast Optimism; Forecast Accuracy; Government Incentives; Market Stabilization; Government Ownership; Coordinated Economies; Stocks; Forecasting and Prediction; Business and Government Relations; Emerging Markets
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Cao, Sheng, Xianjie He, Charles C.Y. Wang, and Huifang Yin. "Government-Brokerage Analysts and Market Stabilization: Evidence from China." Harvard Business School Working Paper, No. 18-095, March 2018. (Revised March 2025.)
  • October 2013
  • Article

How Much to Make and How Much to Buy? An Analysis of Optimal Plural Sourcing Strategies

By: Phanish Puranam, Ranjay Gulati and Sourav Bhattacharya
While many theories of the firm seek to explain when firms make rather than buy, in practice, firms often make and buy the same input—they engage in plural sourcing. We argue that explaining the mix of external procurement and internal sourcing for the same input... View Details
Keywords: Supply Chain; Forecasting and Prediction; Framework; Prejudice and Bias; Mathematical Methods
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Puranam, Phanish, Ranjay Gulati, and Sourav Bhattacharya. "How Much to Make and How Much to Buy? An Analysis of Optimal Plural Sourcing Strategies." Strategic Management Journal 34, no. 10 (October 2013): 1145–1161.
  • 2012
  • Working Paper

~Why Do We Redistribute so Much but Tag so Little? Normative Diversity, Equal Sacrifice and Optimal Taxation

By: Matthew Weinzierl
Tagging is a free lunch in conventional optimal tax theory because it eases the classic tradeoff between efficiency and equality. But tagging is used in only limited ways in tax policy. I propose one explanation: conventional optimal tax theory has yet to capture the... View Details
Keywords: Forecasting and Prediction; Cost; Framework; Policy; Taxation; Analytics and Data Science; Performance Efficiency; United States
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Weinzierl, Matthew. "~Why Do We Redistribute so Much but Tag so Little? Normative Diversity, Equal Sacrifice and Optimal Taxation." Harvard Business School Working Paper, No. 12-064, January 2012. (Revised August 2012. NBER Working Paper Series, No. 18045, August 2012)
  • 2018
  • Working Paper

Bayesian Ensembles of Binary-Event Forecasts: When Is It Appropriate to Extremize or Anti-Extremize?

By: Kenneth C. Lichtendahl Jr., Yael Grushka-Cockayne, Victor Richmond R. Jose and Robert L. Winkler
Many organizations face critical decisions that rely on forecasts of binary events. In these situations, organizations often gather forecasts from multiple experts or models and average those forecasts to produce a single aggregate forecast. Because the average... View Details
Keywords: Forecast Aggregation; Linear Opinion Pool; Generalized Additive Model; Generalized Linear Model; Stacking.; Forecasting and Prediction
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Lichtendahl, Kenneth C., Jr., Yael Grushka-Cockayne, Victor Richmond R. Jose, and Robert L. Winkler. "Bayesian Ensembles of Binary-Event Forecasts: When Is It Appropriate to Extremize or Anti-Extremize?" Harvard Business School Working Paper, No. 19-041, October 2018.
  • 01 Jan 1977
  • Conference Presentation

Short Term Natural Gas Consumption Forecasts: Optimal Use of National Weather Service Data

By: James K. Sebenius and Richard Lehman
Keywords: Forecasting and Prediction; Research; Business and Government Relations; Energy Industry
Citation
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Sebenius, James K., and Richard Lehman. "Short Term Natural Gas Consumption Forecasts: Optimal Use of National Weather Service Data." Paper presented at the American Geophysical Union Annual Meeting, American Geophysical Union, January 01, 1977.
  • 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
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Anderson, Eric, Chaoqun Chen, Ayelet Israeli, and Duncan Simester. "Canary Categories." Journal of Marketing Research (JMR) 61, no. 5 (October 2024): 872–890.
  • March 2022
  • Article

Where to Locate COVID-19 Mass Vaccination Facilities?

By: Dimitris Bertsimas, Vassilis Digalakis Jr, Alexander Jacquillat, Michael Lingzhi Li and Alessandro Previero
The outbreak of COVID-19 led to a record-breaking race to develop a vaccine. However, the limited vaccine capacity creates another massive challenge: how to distribute vaccines to mitigate the near-end impact of the pandemic? In the United States in particular, the new... View Details
Keywords: Vaccines; COVID-19; Health Care and Treatment; Health Pandemics; Performance Effectiveness; Analytics and Data Science; Mathematical Methods
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Bertsimas, Dimitris, Vassilis Digalakis Jr, Alexander Jacquillat, Michael Lingzhi Li, and Alessandro Previero. "Where to Locate COVID-19 Mass Vaccination Facilities?" Naval Research Logistics Quarterly 69, no. 2 (March 2022): 179–200.
  • Research Summary

Current Research

 

I am interested in research on various topics in retail operations and supply chain management, including inventory management, product variety, distribution logistics, financial performance of retailers, and linking operational performance to... View Details

  • 11 Jan 2007
  • Working Paper Summaries

A Perceptions Framework for Categorizing Inventory Policies in Single-stage Inventory Systems

Keywords: by Noel Watson
  • 12 Jul 2016
  • First Look

July 12, 2016

Calibrating the model to data from the Financial Accounts of the U.S., the optimal capital requirement is around 20%. Download working paper: https://www.hbs.edu/faculty/Pages/item.aspx?num=51305 Bias in Official Fiscal Forecasts: Can... View Details
Keywords: Sean Silverthorne
  • 2024
  • Working Paper

Behavioral Attenuation

By: Thomas Graeber, Benjamin Enke, Ryan Oprea and Jeffrey Yang
We report a large-scale examination of behavioral attenuation: due to information-processing constraints, the elasticity of people’s decisions with respect to economic fundamentals is generally too small. We implement more than 30 experiments, 20 of which were... View Details
Keywords: Decisions; Behavior; Cognition and Thinking; Behavioral Finance
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Graeber, Thomas, Benjamin Enke, Ryan Oprea, and Jeffrey Yang. "Behavioral Attenuation." NBER Working Paper Series, No. 32973, September 2024.
  • 15 Sep 2015
  • First Look

September 15, 2015

Operations Management Analytics for an Online Retailer: Demand Forecasting and Price Optimization By: Ferreira, Kris J., Bin Hong Alex Lee, and David Simchi-Levi Abstract—We present our work with an online... View Details
Keywords: Sean Silverthorne
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