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- June 2024
- Article
Going Digital: Implications for Firm Value and Performance
By: Wilbur Chen and Suraj Srinivasan
We examine firm value and performance implications of the growing trend of non-technology companies engaging in digital transformation. We measure digital activities in firms based on the disclosure of digital words in the business description section of 10-Ks. Digital...
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Keywords:
Digital Technologies;
Valuation;
Return Predictability;
Financial Statement Analysis;
Performance;
Value;
Information Technology
Chen, Wilbur, and Suraj Srinivasan. "Going Digital: Implications for Firm Value and Performance." Review of Accounting Studies 29, no. 2 (June 2024): 1619–1665.
- 2024
- Working Paper
Does the Case for Private Equity Still Hold?
By: Nori Gerardo Lietz and Philipp Chvanov
Private Equity (“PE”) received a 10-fold increase in capital flows since the Great Financial Crisis (“GFC”) Investors sought higher nominal returns relative to those they could obtain in the public capital markets. This paper questions the fundamental assumptions...
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Lietz, Nori Gerardo, and Philipp Chvanov. "Does the Case for Private Equity Still Hold?" Harvard Business School Working Paper, No. 24-066, January 2024.
- April 2024
- Article
Decision Authority and the Returns to Algorithms
By: Hyunjin Kim, Edward L. Glaeser, Andrew Hillis, Scott Duke Kominers and Michael Luca
We evaluate a pilot in an Inspections Department to explore the returns to a pair of algorithms that varied in their sophistication. We find that both algorithms provided substantial prediction gains, suggesting that even simple data may be helpful. However, these...
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Keywords:
Algorithmic Aversion;
Algorithmic Decision Making;
Algorithms;
Public Entrepreneurship;
Govenment;
Local Government;
Crowdsourcing;
Crowdsourcing Contests;
Inspection;
Principal-agent Theory;
Government Administration;
Decision Making;
Public Administration Industry;
United States
Kim, Hyunjin, Edward L. Glaeser, Andrew Hillis, Scott Duke Kominers, and Michael Luca. "Decision Authority and the Returns to Algorithms." Strategic Management Journal 45, no. 4 (April 2024): 619–648.
- April 2024
- Article
Demand-and-Supply Imbalance Risk and Long-Term Swap Spreads
By: Samuel G. Hanson, Aytek Malkhozov and Gyuri Venter
We develop and test a model in which swap spreads are determined by end users' demand for
and constrained intermediaries’ supply of long-term interest rate swaps. Swap spreads reflect
compensation both for using scarce intermediary capital and for bearing convergence...
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Keywords:
Swap Spreads;
Credit Derivatives and Swaps;
Interest Rates;
Risk and Uncertainty;
Volatility
Hanson, Samuel G., Aytek Malkhozov, and Gyuri Venter. "Demand-and-Supply Imbalance Risk and Long-Term Swap Spreads." Art. 103814. Journal of Financial Economics 154 (April 2024).
- 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
- Teaching Note
Data-Driven Denim: Financial Forecasting at Levi Strauss
By: Mark Egan
Teaching Note for HBS Case No. 224-029. Levi Strauss & Co. (“Levi Strauss”) partnered with the IT services company Wipro to incorporate more sophisticated methods, such as machine learning, into their financial forecasting process starting in 2018. The decision to...
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- 2023
- Working Paper
Do Active Funds Do Better in What They Trade?
By: Marco Sammon and John J. Shim
We develop two new, simple measures to quantify active fund decisions at the individual position level. The intuition is to separate passive rebalancing induced by flows and position changes from active rebalancing decisions. We find that additive active rebalancing --...
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Sammon, Marco, and John J. Shim. "Do Active Funds Do Better in What They Trade?" Working Paper, November 2023.
- 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...
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Keywords:
Price;
Investment Return;
AI and Machine Learning;
Valuation;
Cash Flow;
Forecasting and Prediction
Hillenbrand, Sebastian, and Odhrain McCarthy. "The Optimal Stock Valuation Ratio." Working Paper, November 2023.
- 2023
- Working Paper
Interest-Rate Risk and Household Portfolios
By: Sylvain Catherine, Max Miller, James Paron and Natasha Sarin
How are households exposed to interest-rate risk? When rates fall, households face lower future expected returns but those holding long-term assets—disproportionately the wealthy and middle-aged—experience capital gains. We study the hedging demand for long-term assets...
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Keywords:
Portfolio Choice;
Social Security;
Interest Rates;
Investment Portfolio;
Equality and Inequality;
Welfare
Catherine, Sylvain, Max Miller, James Paron, and Natasha Sarin. "Interest-Rate Risk and Household Portfolios." Working Paper, October 2023. (Reject and Resubmit, American Economic Review.)
- September 2023 (Revised January 2024)
- Case
AB InBev: Brewing Up Forecasts during COVID-19
By: Mark Egan, C. Fritz Foley, Esel Cekin and Emilie Billaud
In July 2021, the CEO of AB InBev's European operations and his team strategized to position the company for success post-pandemic. As the world's largest beer company, boasting over 500 brands, revenue of $46 billion, and a workforce of 160,000 in 2020, AB InBev...
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Keywords:
Beer;
Forecasting;
COVID-19;
Decision;
Forecasting and Prediction;
Analytics and Data Science;
Crisis Management;
Decisions;
Financing and Loans;
Investment Return;
Resource Allocation;
Distribution;
Production;
Business Processes;
Strategic Planning;
Health Pandemics;
Digital Transformation;
Markets;
Food and Beverage Industry;
Belgium;
Europe;
Latin America;
North and Central America
Egan, Mark, C. Fritz Foley, Esel Cekin, and Emilie Billaud. "AB InBev: Brewing Up Forecasts during COVID-19." Harvard Business School Case 224-020, September 2023. (Revised January 2024.)
- 2023
- Working Paper
Summarizing the Mental Customer Journey
By: Julian De Freitas, Ahmet Uğuralp, Zeliha Uğuralp, Pechthida Kim and Tomer Ullman
How do consumers summarize and act on their experiences, as when deciding whether an interaction with a firm was satisfying and whether to buy from it? Previous work on the summary of continuous experiences has tended to focus on a handful of experience patterns and...
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Keywords:
Customer Experience;
Customer Journey;
Natural Language Processing;
Summarization;
Customer Satisfaction;
Outcome or Result;
Decision Choices and Conditions
De Freitas, Julian, Ahmet Uğuralp, Zeliha Uğuralp, Pechthida Kim, and Tomer Ullman. "Summarizing the Mental Customer Journey." Harvard Business School Working Paper, No. 23-038, January 2023.
- Article
Expected Stock Returns Worldwide: A Log-Linear Present-Value Approach
By: Akash Chattopadhyay, Matthew R. Lyle and Charles C.Y. Wang
This study provides the first large-scale study of the performance of expected-return proxies (ERPs) internationally. Analyst-forecast-based ICCs are sparsely populated and not robustly associated with future returns. Earnings-model-forecast-based ICCs are...
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Keywords:
Expected Returns;
Discount Rates;
Fundamental Valuation;
Implied Cost Of Capital;
International Equity Markets;
Present Value;
Investment Return;
Equity;
Markets;
Global Range
Chattopadhyay, Akash, Matthew R. Lyle, and Charles C.Y. Wang. "Expected Stock Returns Worldwide: A Log-Linear Present-Value Approach." Accounting Review 97, no. 2 (March 2022): 107–133.
- March 2022
- Article
Targeting High Ability Entrepreneurs Using Community Information: Mechanism Design in the Field
Identifying high-growth microentrepreneurs in low-income countries remains a challenge due to a scarcity of verifiable information. With a cash grant experiment in India we demonstrate that community knowledge can help target high-growth microentrepreneurs; while the...
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Keywords:
Microentrepreneurs;
Community Information;
Field Experiment;
Loans;
Entrepreneurship;
Developing Countries and Economies;
Financing and Loans;
Information;
Mathematical Methods;
India
Hussam, Reshmaan, Natalia Rigol, and Benjamin N. Roth. "Targeting High Ability Entrepreneurs Using Community Information: Mechanism Design in the Field." American Economic Review 112, no. 3 (March 2022): 861–898.
(Online Appendix with Corrigendum—Thanks to Isabella Masetto, Diego Ubfal, and The Institute for Replication for identifying a minor coding error in the production of Table 4.)
(Online Appendix with Corrigendum—Thanks to Isabella Masetto, Diego Ubfal, and The Institute for Replication for identifying a minor coding error in the production of Table 4.)
- 2022
- Working Paper
What Triggers National Stock Market Jumps?
By: Scott R. Baker, Nicholas Bloom, Steven J. Davis and Marco Sammon
We examine newspapers the day after major stock-market jumps to evaluate the proximate cause, geographic source, and clarity of these events from 1900 in the US, 1930 in the UK and 1980 in 12 other countries. We find four main results. First, the United States plays an...
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Keywords:
Uncertainty;
Policy Uncertainty;
Stock Market;
Financial Markets;
Volatility;
Risk and Uncertainty;
Policy;
Newspapers
Baker, Scott R., Nicholas Bloom, Steven J. Davis, and Marco Sammon. "What Triggers National Stock Market Jumps?" Working Paper, February 2022.
- January 2022
- Article
Rational Habit Formation: Experimental Evidence from Handwashing in India
By: Reshmaan Hussam, Atonu Rabbani, Giovanni Reggiani and Natalia Rigol
We test the predictions of the rational addiction model, reconceptualized as rational habit formation, in the context of handwashing in rural India. To track handwashing, we design soap dispensers with timed sensors. We test for rational habit formation by informing...
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Hussam, Reshmaan, Atonu Rabbani, Giovanni Reggiani, and Natalia Rigol. "Rational Habit Formation: Experimental Evidence from Handwashing in India." American Economic Journal: Applied Economics 14, no. 1 (January 2022): 1–41. (Lead Article.)
- January 2022
- Article
Why Is Corporate Virtue in the Eye of the Beholder? The Case of ESG Ratings
By: Dane Christensen, George Serafeim and Anywhere Sikochi
Despite the rising use of environmental, social, and governance (ESG) ratings, there is substantial disagreement across rating agencies regarding what rating to give to individual firms. As what drives this disagreement is unclear, we examine whether a firm’s ESG...
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Keywords:
ESG Ratings;
Rating Agency Disagreement;
ESG Disclosure;
Corporate Social Responsibility;
Sustainability;
Corporate Social Responsibility and Impact;
Environmental Sustainability;
Corporate Disclosure
Christensen, Dane, George Serafeim, and Anywhere Sikochi. "Why Is Corporate Virtue in the Eye of the Beholder? The Case of ESG Ratings." Accounting Review 97, no. 1 (January 2022): 147–175.
- Article
Megastudies Improve the Impact of Applied Behavioural Science
By: Katherine L. Milkman, Dena Gromet, Hung Ho, Joseph S. Kay, Timothy W. Lee, Pepi Pandiloski, Yeji Park, Aneesh Rai, Max Bazerman, John Beshears, Lauri Bonacorsi, Colin Camerer, Edward Chang, Gretchen Chapman, Robert Cialdini, Hengchen Dai, Lauren Eskreis-Winkler, Ayelet Fishbach, James J. Gross, Samantha Horn, Alexa Hubbard, Steven J. Jones, Dean Karlan, Tim Kautz, Erika Kirgios, Joowon Klusowski, Ariella Kristal, Rahul Ladhania, Jens Ludwig, George Loewenstein, Barbara Mellers, Sendhil Mullainathan, Silvia Saccardo, Jann Spiess, Gaurav Suri, Joachim H. Talloen, Jamie Taxer, Yaacov Trope, Lyle Ungar, Kevin G. Volpp, Ashley V. Whillans, Jonathan Zinman and Angela L. Duckworth
Policy-makers are increasingly turning to behavioural science for insights about how to improve citizens’ decisions and outcomes. Typically, different scientists test different intervention ideas in different samples using different outcomes over different time...
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Milkman, Katherine L., Dena Gromet, Hung Ho, Joseph S. Kay, Timothy W. Lee, Pepi Pandiloski, Yeji Park, Aneesh Rai, Max Bazerman, John Beshears, Lauri Bonacorsi, Colin Camerer, Edward Chang, Gretchen Chapman, Robert Cialdini, Hengchen Dai, Lauren Eskreis-Winkler, Ayelet Fishbach, James J. Gross, Samantha Horn, Alexa Hubbard, Steven J. Jones, Dean Karlan, Tim Kautz, Erika Kirgios, Joowon Klusowski, Ariella Kristal, Rahul Ladhania, Jens Ludwig, George Loewenstein, Barbara Mellers, Sendhil Mullainathan, Silvia Saccardo, Jann Spiess, Gaurav Suri, Joachim H. Talloen, Jamie Taxer, Yaacov Trope, Lyle Ungar, Kevin G. Volpp, Ashley V. Whillans, Jonathan Zinman, and Angela L. Duckworth. "Megastudies Improve the Impact of Applied Behavioural Science." Nature 600, no. 7889 (December 16, 2021): 478–483.
- October 2021
- Article
Overcoming the Cold Start Problem of CRM Using a Probabilistic Machine Learning Approach
By: Nicolas Padilla and Eva Ascarza
The success of Customer Relationship Management (CRM) programs ultimately depends on the firm's ability to understand consumers' preferences and precisely capture how these preferences may differ across customers. Only by understanding customer heterogeneity, firms can...
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Keywords:
Customer Management;
Targeting;
Deep Exponential Families;
Probabilistic Machine Learning;
Cold Start Problem;
Customer Relationship Management;
Programs;
Consumer Behavior;
Analysis
Padilla, Nicolas, and Eva Ascarza. "Overcoming the Cold Start Problem of CRM Using a Probabilistic Machine Learning Approach." Journal of Marketing Research (JMR) 58, no. 5 (October 2021): 981–1006.
- July–August 2021
- Article
Why You Aren't Getting More from Your Marketing AI
By: Eva Ascarza, Michael Ross and Bruce G.S. Hardie
Fewer than 40% of companies that invest in AI see gains from it, usually because of one or more of these errors: (1) They don’t ask the right question, and end up directing AI to solve the wrong problem. (2) They don’t recognize the differences between the value of...
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Keywords:
Artificial Intelligence;
Marketing;
Decision Making;
Communication;
Framework;
AI and Machine Learning
Ascarza, Eva, Michael Ross, and Bruce G.S. Hardie. "Why You Aren't Getting More from Your Marketing AI." Harvard Business Review 99, no. 4 (July–August 2021): 48–54.
- January–February 2021
- Article
Cross‐firm Return Predictability and Accounting Quality
By: Wen Chen, Mozaffar Khan, Leonid Kogan and George Serafeim
We test the hypothesis that if poor accounting quality (AQ) is associated with poor investor understanding of firms’ revenue and cost structures, then poor AQ stocks likely respond more slowly than good AQ stocks to new non‐idiosyncratic information that affects both...
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Keywords:
Accounting Quality;
Earnings Quality;
Stock Returns;
Investment Strategy;
Accounting;
Business Earnings;
Quality;
Investment Return;
Investment;
Strategy
Chen, Wen, Mozaffar Khan, Leonid Kogan, and George Serafeim. "Cross‐firm Return Predictability and Accounting Quality." Journal of Business Finance & Accounting 48, nos. 1-2 (January–February 2021): 70–101.