Publications

Educators

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

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

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

23 Jan 2013
Working Paper Summaries

Cost of Capital Dynamics Implied by Firm Fundamentals

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

23 Aug 2013
Working Paper Summaries

Waves in Ship Prices and Investment

Keywords: by Robin Greenwood & Samuel Hanson

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

Article

Measuring the Effectiveness of Competition in Defense Procurement: A Survey of the Empirical Literature

By: James J. Anton and Dennis A. Yao

This article surveys the literature that has attempted to measure competition's effects on defense procurement. The focus is on conceptual underpinnings of models rather than technical aspects of estimation procedures. While providing valuable insight, the models are... View Details

Keywords: Performance Effectiveness; Competition; Surveys; Value; Economics; Forecasting and Prediction; Programs; Power and Influence; Management Analysis, Tools, and Techniques

Find at Harvard

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

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

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

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

Fall 2012
Article

Innovation Strategy and Entry Deterrence

By: Ozge Turut and Elie Ofek

We model an incumbent's decision to pursue radical or incremental innovation when facing a rival entrant. The radical innovation may yield lucrative financial returns but entails significant technological and market-related uncertainties. It is also particularly... View Details

Keywords: Competition; Innovation Strategy; Risk and Uncertainty; Markets; Mathematical Methods

Find at Harvard

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

August 2018 (Revised September 2018)
Supplement

LendingClub (C): Gradient Boosting & Payoff Matrix

By: Srikant M. Datar and Caitlin N. Bowler

This case builds directly on the LendingClub (A) and (B) cases. In this case students follow Emily Figel as she builds an even more sophisticated model using the gradient boosted tree method to predict, with some probability, whether a borrower would repay or default... View Details

Keywords: Data Analytics; Data Science; Investment; Financing and Loans; Analytics and Data Science; Analysis; Forecasting and Prediction

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

Find at Harvard

August 2018 (Revised September 2018)
Supplement

LendingClub (B): Decision Trees & Random Forests

By: Srikant M. Datar and Caitlin N. Bowler

This case builds directly on the LendingClub (A) case. In this case students follow Emily Figel as she builds two tree-based models using historical LendingClub data to predict, with some probability, whether borrower will repay or default on his loan.
... View Details

Keywords: Data Science; Data Analytics; Decision Trees; Investment; Financing and Loans; Analytics and Data Science; Analysis; Forecasting and Prediction