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- March 2024
- Article
The Asymmetric Mispricing Information in Analysts’ Target Prices
By: Jeremiah Green, John R. M. Hand and Anywhere Sikochi
We study the mispricing information present in the target prices of U.S. and international analysts. We hypothesize that asymmetry in the value-relevance of the information that managers supply to analysts, combined with asymmetry in the incentives facing analysts to...
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Keywords:
Analysts;
Target Prices;
Mispricing;
Cost Of Equity;
Valuation;
Price;
Cost;
Analysis;
Theory
Green, Jeremiah, John R. M. Hand, and Anywhere Sikochi. "The Asymmetric Mispricing Information in Analysts’ Target Prices." Review of Accounting Studies 29, no. 1 (March 2024): 889–915.
- February 2024 (Revised February 2024)
- Teaching Note
Travelogo: Understanding Customer Journeys
By: Eva Ascarza and Ta-Wei Huang
Teaching Note for HBS Exercise 524-044. The exercise aims to teach students about 1) Customer Segmentation; and 2) constructing buying personas, 3) Get actionable insights from clickstream data.
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- January 2024 (Revised February 2024)
- Exercise
Travelogo: Understanding Customer Journeys
By: Eva Ascarza, Nicolas Padilla and Oded Netzer
In late May 2023, Sarah Merino, the newly appointed manager of the Customer Insights group at Travelogo—an online travel booking platform—initiates a comprehensive analysis of clickstream data to understand the varied behaviors and needs of their users. In preparation...
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Keywords:
Customer Relationship Management;
Analysis;
Analytics and Data Science;
Marketing Strategy;
Segmentation;
Consumer Behavior;
Travel Industry;
United States
Ascarza, Eva, Nicolas Padilla, and Oded Netzer. "Travelogo: Understanding Customer Journeys." Harvard Business School Exercise 524-044, January 2024. (Revised February 2024.)
- November 2023
- Case
Aviva plc: Examining Net Zero
By: Peter Tufano, Brian Trelstad and Matteo Gasparini
The board of Aviva Plc, one of the world’s largest insurers, must review its climate risk exposures and evaluate next steps. Risk experts at the firm have conducted a robust set of analyses prepared for its regulator, the Bank of England, simulating how various climate...
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- Working Paper
An AI Method to Score Celebrity Visual Potential from Human Faces
By: Flora Feng, Shunyuan Zhang, Xiao Liu, Kannan Srinivasan and Cait Lamberton
Celebrities have extraordinary abilities to attract and influence others. Predicting celebrity visual potential is important in the domains of business, politics, media, and entertainment. Can we use human faces to predict celebrity visual potential? If so, which...
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Feng, Flora, Shunyuan Zhang, Xiao Liu, Kannan Srinivasan, and Cait Lamberton. "An AI Method to Score Celebrity Visual Potential from Human Faces." SSRN Working Paper Series, No. 4071188, November 2023.
- October 2023
- Case
Prime Coalition: Estimating Climate Impact
A case on CRANE, a tool to help investors and green technology companies estimate the future climate impact of new technologies and products, called emissions reduction potential (ERP). The case includes material on CRANE’s methodology for estimating future carbon...
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Keywords:
Carbon Emissions;
Environmental Accounting;
Analysis;
Climate Change;
Green Technology;
Innovation and Invention;
Measurement and Metrics;
Philanthropy and Charitable Giving;
Risk and Uncertainty;
Nonprofit Organizations;
Social Enterprise
Rigol, Natalia, Benjamin N. Roth, Brian Trelstad, and Amram Migdal. "Prime Coalition: Estimating Climate Impact." Harvard Business School Case 824-119, October 2023.
- October 2023
- Case
ReUp Education: Can AI Help Learners Return to College?
By: Kris Ferreira, Christopher Thomas Ryan and Sarah Mehta
Founded in 2015, ReUp Education helps “stopped out students”—learners who have stopped making progress towards graduation—achieve their college completion goals. The company relies on a team of success coaches to engage with learners and help them reenroll. In 2019,...
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Keywords:
AI;
Algorithms;
Machine Learning;
Edtech;
Education Technology;
Analysis;
Higher Education;
AI and Machine Learning;
Customization and Personalization;
Failure;
Education Industry;
Technology Industry;
United States
Ferreira, Kris, Christopher Thomas Ryan, and Sarah Mehta. "ReUp Education: Can AI Help Learners Return to College?" Harvard Business School Case 624-007, October 2023.
- October 2023 (Revised February 2024)
- Technical Note
Design and Evaluation of Targeted Interventions
By: Eva Ascarza and Ta-Wei (David) Huang
Targeted interventions serve as a pivotal tool in business strategy, streamlining decisions for enhanced efficiency and effectiveness. This note delves into two central facets of such interventions: first, the design of potent decision guidelines, or targeting...
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Keywords:
Marketing;
Customer Relationship Management;
Analysis;
Design;
Business Strategy;
Retail Industry;
Apparel and Accessories Industry;
Technology Industry;
Financial Services Industry;
Telecommunications Industry
Ascarza, Eva, and Ta-Wei (David) Huang. "Design and Evaluation of Targeted Interventions." Harvard Business School Technical Note 524-034, October 2023. (Revised February 2024.)
- July 2023
- Article
Design and Analysis of Switchback Experiments
By: Iavor I Bojinov, David Simchi-Levi and Jinglong Zhao
In switchback experiments, a firm sequentially exposes an experimental unit to a random treatment, measures its response, and repeats the procedure for several periods to determine which treatment leads to the best outcome. Although practitioners have widely adopted...
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Bojinov, Iavor I., David Simchi-Levi, and Jinglong Zhao. "Design and Analysis of Switchback Experiments." Management Science 69, no. 7 (July 2023): 3759–3777.
- June 2023
- Case
Investing in the Climate Transition at Neuberger Berman
By: George Serafeim and Benjamin Maletta
By mid-2023, Neuberger Berman (NB), an active asset manager, had grown its assets under management to about half a trillion dollars and took pride in its client centricity and innovative spirit. Responding to client demand for investment products that integrated...
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Keywords:
Carbon Emissions;
Sustainability;
Decarbonization;
Performance;
Risk Assessment;
Opportunities;
Environmental Sustainability;
Carbon Footprint;
Business Analysis;
Investing;
Regulation;
Asset Management;
Investment Strategy;
Climate Change;
Transition;
Analysis;
Product Positioning;
Strategy;
Investment Portfolio;
Financial Services Industry;
Energy Industry
- 2023
- Working Paper
Detecting Structural Breaks in Inflation Trends: A High-Frequency Approach
By: Alberto Cavallo and Gaston Garcia Zavaleta
We combine standard structural-break methods with high-frequency data to identify shifts in inflation trends. We use this approach to study the inflation dynamics of 25 countries from January 2022 to April 2023 and find evidence of a broad-based slowdown in about half...
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Cavallo, Alberto, and Gaston Garcia Zavaleta. "Detecting Structural Breaks in Inflation Trends: A High-Frequency Approach." Working Paper, May 2023. (Preliminary draft.)
- 2023
- Working Paper
Using GPT for Market Research
By: James Brand, Ayelet Israeli and Donald Ngwe
Large language models (LLMs) have quickly become popular as labor-augmenting tools
for programming, writing, and many other processes that benefit from quick text generation.
In this paper we explore the uses and benefits of LLMs for researchers and...
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Keywords:
Large Language Model;
Research;
AI and Machine Learning;
Analysis;
Customers;
Consumer Behavior;
Technology Industry;
Information Technology Industry
Brand, James, Ayelet Israeli, and Donald Ngwe. "Using GPT for Market Research." Harvard Business School Working Paper, No. 23-062, April 2023. (Revised July 2023.)
- February 2023
- Teaching Note
Bear to Bull? An Analyst’s Journey with Netflix
By: Aiyesha Dey and Joseph Pacelli
Teaching Note for HBS Case No. 123-001. Wedbush Securities analyst Michael Pachter said “hell freezing over” was more likely than him upgrading the “sell” rating he had maintained on movie and television streaming giant Netflix since 2011, despite meteoric subscriber...
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- January 2023 (Revised November 2023)
- Technical Note
Ethical Analysis: Honesty and Self-Interest
By: Nien-hê Hsieh and Christopher Diak
Information asymmetry is pervasive in business and can often confer great advantage. This note distinguishes forms of deceptive behavior in the face of information asymmetry and aims to help students analyze their impermissibility.
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Hsieh, Nien-hê, and Christopher Diak. "Ethical Analysis: Honesty and Self-Interest." Harvard Business School Technical Note 323-067, January 2023. (Revised November 2023.)
- January 2023
- Case
EKI Energy Services: One Billion Carbon Credits
By: George Serafeim
Within nine months from the time of its Initial Public Offering (IPO) in April of 2021, EKI Energy Services (EKI) shares had increased by more than 8,000%. Equally explosive was the growth of the company’s revenues and Earnings Before Interest, Taxes and Depreciation...
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Keywords:
Carbon Credits;
Carbon Emissions;
Growth;
Business Analysis;
Environmental Sustainability;
Corporate Valuation;
Climate Change;
Accounting;
Valuation;
Transition;
Renewable Energy;
Analysis;
Product Positioning;
India
Serafeim, George. "EKI Energy Services: One Billion Carbon Credits." Harvard Business School Case 123-060, January 2023.
- December 2022
- Technical Note
Risks and Opportunities from the Transition to a Low Carbon Economy: A Business Analysis Framework
By: George Serafeim
The transition to a low carbon economy introduces many risks and opportunities for businesses. Risks emerge from regulatory actions, such as carbon taxes and cap and trade systems, technological innovation that develop alternatives for customers making existing...
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Keywords:
Risk Assessment;
Opportunities;
Environmental Sustainability;
Carbon Footprint;
Risk Management;
Competitive Dynamics;
Business Analysis;
Climate Change;
Accounting;
Finance;
Valuation;
Business and Shareholder Relations;
Technological Innovation;
Transition;
Product Positioning;
Renewable Energy;
Analysis
Serafeim, George. "Risks and Opportunities from the Transition to a Low Carbon Economy: A Business Analysis Framework." Harvard Business School Technical Note 123-014, December 2022.
- December 2022
- Article
Two Representations of Information Structures and Their Comparisons
By: Jerry R. Green and Nancy L. Stokey
This paper compares two representations of informativeness.
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Green, Jerry R., and Nancy L. Stokey. "Two Representations of Information Structures and Their Comparisons." Decisions in Economics and Finance 45, no. 2 (December 2022): 541–547.
- September 2022
- Background Note
On CUE: The Quest for Optimal Customer Unit Economics
By: Elie Ofek, Barak Libai and Eitan Muller
Startups are often evaluated by how well they perform on unit economics, defined as the ratio of a customer’s lifetime value (LTV) to acquisition costs (CAC). A common target for unit economics, advocated by many VCs and analysts, is 3:1 (i.e., LTV/CAC=3). While there...
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Keywords:
Unit Economics;
Business Startups;
Performance Evaluation;
Customer Value and Value Chain;
Customer Relationship Management;
Analysis
Ofek, Elie, Barak Libai, and Eitan Muller. "On CUE: The Quest for Optimal Customer Unit Economics." Harvard Business School Background Note 523-050, September 2022.
- September 2022 (Revised January 2023)
- Case
Bear to Bull: An Analyst’s Journey with Netflix
By: Aiyesha Dey, Joseph Pacelli, Jennifer G. Lawson and Tom Quinn
Wedbush Securities analyst Michael Pachter said “hell freezing over” was more likely than him upgrading the “sell” rating he had maintained on movie and television streaming giant Netflix since 2011, despite meteoric subscriber and share price growth. In 2022, however,...
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Keywords:
Accounting;
Asset Pricing;
Cash Flow;
Investment;
Stocks;
Equity;
Analysis;
Attitudes;
Financial Services Industry;
Entertainment and Recreation Industry;
United States
Dey, Aiyesha, Joseph Pacelli, Jennifer G. Lawson, and Tom Quinn. "Bear to Bull: An Analyst’s Journey with Netflix." Harvard Business School Case 123-001, September 2022. (Revised January 2023.)
- September 2022 (Revised November 2022)
- Teaching Note
PittaRosso: Artificial Intelligence-Driven Pricing and Promotion
By: Ayelet Israeli
Teaching Note for HBS Case No. 522-046.
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Keywords:
Artificial Intelligence;
Pricing;
Pricing Algorithm;
Pricing Decisions;
Pricing Strategy;
Pricing Structure;
Promotion;
Promotions;
Online Marketing;
Data-driven Decision-making;
Data-driven Management;
Retail;
Retail Analytics;
Price;
Advertising Campaigns;
Analytics and Data Science;
Analysis;
Digital Marketing;
Budgets and Budgeting;
Marketing Strategy;
Transformation;
Decision Making;
AI and Machine Learning;
Retail Industry;
Italy