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(1,092)
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Show Results For
- All HBS Web
(1,092)
- People (1)
- News (169)
- Research (616)
- Events (17)
- Multimedia (5)
- Faculty Publications (371)
- Article
Preventing Fairness Gerrymandering: Auditing and Learning for Subgroup Fairness
By: Michael J Kearns, Seth Neel, Aaron Leon Roth and Zhiwei Steven Wu
The most prevalent notions of fairness in machine learning are statistical definitions: they fix a small collection of pre-defined groups, and then ask for parity of some statistic of the classifier (like classification rate or false positive rate) across these groups.... View Details
Kearns, Michael J., Seth Neel, Aaron Leon Roth, and Zhiwei Steven Wu. "Preventing Fairness Gerrymandering: Auditing and Learning for Subgroup Fairness." Proceedings of the International Conference on Machine Learning (ICML) 35th (2018).
- 07 Mar 2017
- News
UK prices rising faster after Brexit vote
- April 2005 (Revised April 2005)
- Background Note
An Overview of Project Finance - 2004 Update
By: Benjamin C. Esty and Aldo Sesia
Introduces the field of project finance and provides a statistical overview of the project-financed investments over the last five years. Defines project finance and contrasts it with other well-known financing structures. Describes the evolution of project finance,... View Details
Esty, Benjamin C., and Aldo Sesia. "An Overview of Project Finance - 2004 Update." Harvard Business School Background Note 205-065, April 2005. (Revised April 2005.)
- 16 Nov 2020
- Blog Post
Flatiron School: Reflections from Summer 2020
In the summer of 2020, HBS Career & Professional Development (CPD) partnered with Flatiron School to provide students with an opportunity to gain practical skills, statistics fundamentals, and real-life data science project... View Details
Keywords: All Industries
Jung Koo Kang
Jung Koo Kang is an assistant professor in the Accounting and Management Unit. He teaches the Financial Reporting and Control course in the MBA required curriculum.
Professor Kang’s research areas are in financial technology and innovation, alternative data,... View Details
- Article
Risk and the Cross-Section of Stock Returns
By: Mark Seasholes, Radu Burlacu, Patrice Fontaine and Sonia Jimenez-Garces
This paper mathematically transforms unobservable rational expectation equilibrium model parameters (information precision and supply uncertainty) into a single variable that is correlated with expected returns and that can be estimated with recently observed data. Our... View Details
Keywords: Risk Premiums; Cross-sectional Asset Pricing; REE Models; Risk and Uncertainty; Asset Pricing; Investment Return
Seasholes, Mark, Radu Burlacu, Patrice Fontaine, and Sonia Jimenez-Garces. "Risk and the Cross-Section of Stock Returns." Journal of Financial Economics 105, no. 3 (September 2012): 511–522.
- March 2002
- Case
Women and Power: Stories From Around the Globe
By: Kathleen L. McGinn, Alexis Lefort and Nicole Nasser
This case uses vignettes and statistics of the broader issue discussed in each vignette to explore some of the ways in which gender is played out in the struggle for power and control. Disenfranchised groups--those not allowed access to critical resources--have little... View Details
McGinn, Kathleen L., Alexis Lefort, and Nicole Nasser. "Women and Power: Stories From Around the Globe." Harvard Business School Case 902-203, March 2002.
- July 2013
- Teaching Note
Google's Project Oxygen: Do Managers Matter?
By: David A. Garvin
Google's Project Oxygen started with a fundamental question raised by executives in the early 2000s: do managers matter? The topic generated a multi-year research project that ultimately led to a comprehensive program, built around eight key management attributes,... View Details
- June 2005
- Case
Billy Beane: Changing the Game
Describes how Billy Beane, general manager of the Oakland A's baseball team, employs statistical methodologies to select who is undervalued in the marketplace. Examines why few teams have imitated his organization's successful strategy. Explores threats to Oakland's... View Details
Roberto, Michael. "Billy Beane: Changing the Game." Harvard Business School Case 305-120, June 2005.
- March 1993
- Supplement
Burroughs Wellcome and AZT (C)
Describes key developments relating to Burroughs Wellcome, AZT and other AIDS drugs, and the AIDS issue in general from late 1989 through 1992. Includes excerpts from Wellcome PLC's financial statements and updated statistics on AIDS in the United States. View Details
Keywords: Health Pandemics; Multinational Firms and Management; Financial Statements; Pharmaceutical Industry; United States
Emmons, Willis M., III. "Burroughs Wellcome and AZT (C)." Harvard Business School Supplement 793-115, March 1993.
Antonio Moreno
Antonio (Toni) Moreno is the Sicupira Family Associate Professor in the Technology and Operations Management Unit. He teaches courses related to technology and operations management in the MBA, executive, and doctoral programs. Before joining HBS, he was an... View Details
- 2024
- Working Paper
Anytime-Valid Inference in Linear Models and Regression-Adjusted Causal Inference
By: Michael Lindon, Dae Woong Ham, Martin Tingley and Iavor I. Bojinov
Linear regression adjustment is commonly used to analyze randomized controlled experiments due to its efficiency and robustness against model misspecification. Current testing and interval estimation procedures leverage the asymptotic distribution of such estimators to... View Details
Lindon, Michael, Dae Woong Ham, Martin Tingley, and Iavor I. Bojinov. "Anytime-Valid Inference in Linear Models and Regression-Adjusted Causal Inference." Harvard Business School Working Paper, No. 24-060, March 2024.
- June 2014 (Revised July 2014)
- Background Note
An Overview of Project Finance and Infrastructure Finance—2014 Update
By: Benjamin C. Esty, Carla Chavich and Aldo Sesia
Provides an introduction to the fields of project finance and infrastructure finance, and gives a statistical overview of project-financed investments over the years from 2009 to 2013. Examples of project-financed investments include the Kashagan oil field development... View Details
Keywords: Globalization; Capital Expenditures; International Finance; Data; Financial History; Economic Development; Corporate Governance; Contracts; Industry Analysis; Banking; Capital Investments; Municipal Finance; Project Finance; Infrastructure; Investment; Projects; Trends
Esty, Benjamin C., Carla Chavich, and Aldo Sesia. "An Overview of Project Finance and Infrastructure Finance—2014 Update." Harvard Business School Background Note 214-083, June 2014. (Revised July 2014.)
- 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
- June 2021
- Technical Note
Introduction to Linear Regression
By: Michael Parzen and Paul Hamilton
This technical note introduces (from an applied point of view) the theory and application of simple and multiple linear regression. The motivation for the model is introduced, as well as how to interpret the summary output with regard to prediction and statistical... View Details
- December 2002
- Background Note
Simulation of Prices, Rates and Cash Flows (A)
Explicitly considers the most common propagation models for financial variables and explains how to determine the statistical properties of these variables and simulate their future values. Covers arithmetic Brownian motion, geometric Brownian motion, mean-reversion,... View Details
Shimko, David C. "Simulation of Prices, Rates and Cash Flows (A)." Harvard Business School Background Note 203-056, December 2002.
- 06 Apr 2020
- Working Paper Summaries
A General Theory of Identification
Keywords: by Iavor Bojinov and Guillaume Basse
- February 2021
- Tutorial
T-tests: Theory and Practice
This video provides an introduction to hypothesis testing, sampling, t-tests, and p-values. It provides examples of A/B testing and t-testing to assess whether difference between two groups are statistically significant. This video can be assigned in conjunction with... View Details
- 08 Jun 2016
- News
Study: Airbnb hosts discriminate
Descent-to-Delete: Gradient-Based Methods for Machine Unlearning
We study the data deletion problem for convex models. By leveraging techniques from convex optimization and reservoir sampling, we give the first data deletion algorithms that are able to handle an arbitrarily long sequence of adversarial updates while promising... View Details