Publications

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Article

An Integrated Decision-Making Approach for Improving European Air Traffic Management

By: Yael Grushka-Cockayne, Bert De Reyck and Zeger Degraeve

We develop a multistakeholder, multicriteria decision-making framework for Eurocontrol, the European air traffic management organization, for evaluating and selecting operational improvements to the air traffic management system. The selected set of improvements will... View Details

Keywords: Decision Making; Framework; Operations; Performance Improvement; Government Administration; Air Transportation Industry; Europe

Find at Harvard

January 2011
Case

The Risk-Reward Framework at Morgan Stanley Research

By: Suraj Srinivasan and David Lane

The case describes the Risk-Reward framework that Morgan Stanley analysts use as a systematic approach to communicate a broader range of fundamental insights about a company rather than the traditional single point estimates. The goal of the framework is to focus the... View Details

Keywords: Financial Statements; Forecasting and Prediction; Equity; Framework; Management Analysis, Tools, and Techniques; Risk Management; Business Processes; Research; Valuation

Educators

February 2023
Supplement

Coats Dyehouse Management

By: Willy C. Shih

Coats, the largest thread maker in the world, transformed its business to digital colour measurement so that it could respond better to customer demand in the garment industry for rapid product cycles and more fragmented colour choices. Its embrace of digital colour... View Details

Keywords: Inventory Management; Supply Chain; Inventory; Supply Chain Management; Operations; Apparel and Accessories Industry; Asia

23 Jan 2013
Working Paper Summaries

Cost of Capital Dynamics Implied by Firm Fundamentals

Keywords: by Matthew Lyle & Charles C.Y. Wang

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

Keywords: Financial Markets; Forecasting and Prediction; Financial Crisis; Macroeconomics

SSRN

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 retailer, Rue La La, as an... View Details

Keywords: Sean Silverthorne

August 2021 (Revised November 2023)
Supplement

Coats: Supply Chain Challenges

By: Willy C. Shih

Coats, the largest thread maker in the world, transformed its business to digital colour measurement so that it could respond better to customer demand in the garment industry for rapid product cycles and more fragmented colour choices. Its embrace of digital colour... View Details

Keywords: Inventory Management; Supply Chain; Inventory; Supply Chain Management; Operations; Apparel and Accessories Industry; Asia

20 Oct 2011
Research & Ideas

Getting the Marketing Mix Right

to the effectiveness of their marketing instruments” Thomas J. Steenburgh, an associate professor in the Marketing Unit at Harvard Business School, has developed a new analytical tool that more accurately measures the effectiveness of various marketing efforts. He... View Details

Keywords: by Dina Gerdeman

August 2021 (Revised February 2024)
Case

Data Science at the Warriors

By: Iavor I. Bojinov and Michael Parzen

The case explores the development and early growth of a data science team at the Golden State Warriors, an NBA team based in San Francisco. The case begins by explaining the initial rationale for investing in data science, then covers a debate on the appropriate team... View Details

Keywords: Data Science; Digital Marketing; Analysis; Forecasting and Prediction; Technological Innovation; Information Technology; Sports Industry; San Francisco; United States

Educators

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

Research Summary

Supply Chain Inventory Planning

My work studies management decision-making in demand and supply planning contexts with a focus on forecasting and inventory planning decisions. I examine these decision-making processes from both a supply chain (i.e. across firm) and an... View Details

15 May 2007
First Look

First Look: May 15, 2007

model produces unbiased, out-of-sample forecasts of abnormal returns for firms being added to the S&P 500 index. Download the paper: http://papers.ssrn.com/sol3/papers.cfm?abstract_id=934193 The... View Details

Keywords: Martha Lagace

June 2021
Article

From Predictions to Prescriptions: A Data-driven Response to COVID-19

By: Dimitris Bertsimas, Léonard Boussioux, Ryan Cory-Wright, Arthur Delarue, Vassilis Digalakis Jr, Alexander Jacquillat, Driss Lahlou Kitane, Galit Lukin, Michael Lingzhi Li, Luca Mingardi, Omid Nohadani, Agni Orfanoudaki, Theodore Papalexopoulos, Ivan Paskov, Jean Pauphilet, Omar Skali Lami, Bartolomeo Stellato, Hamza Tazi Bouardi, Kimberly Villalobos Carballo, Holly Wiberg and Cynthia Zeng

The COVID-19 pandemic has created unprecedented challenges worldwide. Strained healthcare providers make difficult decisions on patient triage, treatment and care management on a daily basis. Policy makers have imposed social distancing measures to slow the disease, at... View Details

Keywords: COVID-19; Health Pandemics; AI and Machine Learning; Forecasting and Prediction; Analytics and Data Science

Fourth Quarter 2007
Article

Contingent Claims Approach to Measuring and Managing Sovereign Credit Risk

By: Dale . F. Gray, Robert C. Merton and Zvi Bodie

This paper proposes a new approach to measure, analyze, and manage sovereign risk based on the theory and practice of modern contingent claims analysis (CCA). The paper provides a new framework for adapting the CCA model to the sovereign balance sheet in a way that can... View Details

Keywords: Credit; Investment; Sovereign Finance; Risk Management; Emerging Markets; Market Transactions; Mathematical Methods; Valuation

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23 Oct 2018
First Look

New Research and Ideas, October 23, 2018

improve the forecasts of arrivals at the immigration and security areas. When compared to several benchmarks, our model is shown to be more accurate in both point forecasting... View Details

Keywords: Dina Gerdeman

August 2018 (Revised September 2018)
Supplement

Predicting Purchasing Behavior at PriceMart (B)

By: Srikant M. Datar and Caitlin N. Bowler

Supplements the (A) case. In this case, Wehunt and Morse are concerned about the logistic regression model overfitting to the training data, so they explore two methods for reducing the sensitivity of the model to the data by regularizing the coefficients of the... View Details

Keywords: Data Science; Analytics and Data Science; Analysis; Customers; Household; Forecasting and Prediction