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(2,962)
- News (476)
- Research (2,196)
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- Multimedia (14)
- Faculty Publications (1,424)
Show Results For
- All HBS Web
(2,962)
- News (476)
- Research (2,196)
- Events (43)
- Multimedia (14)
- Faculty Publications (1,424)
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- Article
Interpretable Decision Sets: A Joint Framework for Description and Prediction
By: Himabindu Lakkaraju, Stephen H. Bach and Jure Leskovec
Lakkaraju, Himabindu, Stephen H. Bach, and Jure Leskovec. "Interpretable Decision Sets: A Joint Framework for Description and Prediction." Proceedings of the ACM SIGKDD Conference on Knowledge Discovery and Data Mining 22nd (2016).
- June 2023
- Case
Accounting for Loan Losses at JPMorgan Chase: Predicting Credit Costs
By: Jonas Heese, Jung Koo Kang and James Weber
The case examines the accounting for loan losses at a large bank, how a bank sets its Allowance for Loan and Lease Losses (ALLL) on its financial statements. ALLL, and the rules that set them, determine when banks would and would not extend loans, which significantly... View Details
Keywords: Accounting Standards; Accrual Accounting; Financial Statements; Financial Reporting; Banks and Banking; Financing and Loans; Banking Industry; United States
Heese, Jonas, Jung Koo Kang, and James Weber. "Accounting for Loan Losses at JPMorgan Chase: Predicting Credit Costs." Harvard Business School Case 123-042, June 2023.
- 1996
- Other Unpublished Work
Testing for Structural Change in the Predictability of Asset Returns
By: Luis M. Viceira
Viceira, Luis M. "Testing for Structural Change in the Predictability of Asset Returns." 1996.
- 10 Aug 2013 - 13 Aug 2013
- Conference Presentation
Stock Market Prediction via Social Media: The Importance of Competitors
By: Frank Nagle
- 15 Aug 2016
- Research & Ideas
Black Swans and Big Trends Can Ruin Anyone's Internet Prediction
investments are once again declining. Reasoning that today’s tech entrepreneurs and investors might value a history lesson, I’ve published Speed Trap as an ebook, which is downloadable for free in PDF format, and available in the iBooks Store for free and in the Kindle... View Details
- October 2023
- Teaching Note
Accounting for Loan Losses at JPMorgan Chase: Predicting Credit Costs
By: Jonas Heese and Jung Koo Kang
Teaching Note for HBS Case No. 123-042. View Details
- November 2023
- Article
Knowledge About the Source of Emotion Predicts Emotion-Regulation Attempts, Strategies, and Perceived Emotion-Regulation Success
By: Yael Millgram, Matthew K. Nock, David D. Bailey and Amit Goldenberg
People’s ability to regulate emotions is crucial to healthy emotional functioning. One overlooked aspect in emotion-regulation research is that knowledge about the source of emotions can vary across situations and individuals, which could impact people’s ability to... View Details
Millgram, Yael, Matthew K. Nock, David D. Bailey, and Amit Goldenberg. "Knowledge About the Source of Emotion Predicts Emotion-Regulation Attempts, Strategies, and Perceived Emotion-Regulation Success." Psychological Science 34, no. 11 (November 2023): 1244–1255.
- 2023
- Chapter
Analyzing Human Decisions and Machine Predictions in Bail Decision Making
By: Jon Kleinberg, Himabindu Lakkaraju, Jure Leskovec, Jens Ludwig and Sendhil Mullainathan
BOOK ABSTRACT: Oriented toward the introductory student, The Inequality Reader is the essential textbook for today's undergraduate courses. The editors have assembled the most important classic and contemporary readings about how poverty and inequality are... View Details
Keywords: Equality and Inequality
Kleinberg, Jon, Himabindu Lakkaraju, Jure Leskovec, Jens Ludwig, and Sendhil Mullainathan. "Analyzing Human Decisions and Machine Predictions in Bail Decision Making." In The Inequality Reader: Contemporary and Foundational Readings in Race, Class, and Gender. 3rd edition, edited by David B. Grusky and Szonja Szelényi. Routledge, forthcoming.
- 9 May 2013 - 11 May 2013
- Conference Presentation
Stock Market Prediction via Social Media: The Importance of Competitors
By: Frank Nagle
- August 2016
- Article
The Role of (Dis)similarity in (Mis)predicting Others' Preferences
By: Kate Barasz, Tami Kim and Leslie K. John
Consumers readily indicate liking options that appear dissimilar—for example, enjoying both rustic lake vacations and chic city vacations or liking both scholarly documentary films and action-packed thrillers. However, when predicting other consumers’ tastes for the... View Details
Keywords: Perceived Similarity; Prediction Error; Preference Prediction; Self-other Difference; Social Inference; Cognition and Thinking; Perception; Forecasting and Prediction
Barasz, Kate, Tami Kim, and Leslie K. John. "The Role of (Dis)similarity in (Mis)predicting Others' Preferences." Journal of Marketing Research (JMR) 53, no. 4 (August 2016): 597–607.
- August 1999
- Article
Positive Illusions and Biases of Prediction in Mutual Fund Investment Decisions
By: D. A. Moore, T. R. Kurtzberg, C. R. Fox and M. H. Bazerman
Moore, D. A., T. R. Kurtzberg, C. R. Fox, and M. H. Bazerman. "Positive Illusions and Biases of Prediction in Mutual Fund Investment Decisions." Organizational Behavior and Human Decision Processes 79, no. 2 (August 1999): 95–114.
- December 2021
- Article
Entrepreneurial Learning and Strategic Foresight
By: Aticus Peterson and Andy Wu
We study how learning by experience across projects affects an entrepreneur's strategic foresight. In a quantitative study of 314 entrepreneurs across 722 crowdfunded projects supplemented with a program of qualitative interviews, we counterintuitively find that... View Details
Keywords: Crowdfunding; Experience; Prediction; Timeline; Complexity; Entrepreneurship; Learning; Experience and Expertise; Forecasting and Prediction
Peterson, Aticus, and Andy Wu. "Entrepreneurial Learning and Strategic Foresight." Art. 1. Strategic Management Journal 42, no. 13 (December 2021): 2357–2388. (Lead article.)
- 31 May 2023
- Research & Ideas
With Predictive Analytics, Companies Can Tap the Ultimate Opportunity: Customers’ Routines
used that information to predict how often and when a customer may request a car as part of their routine. The model could drill into specific kinds of routines, too: The model identifies seven clusters of typical ridesharing routines in... View Details
- 2013
- Article
Where Not to Eat? Improving Public Policy by Predicting Hygiene Inspections Using Online Reviews
By: Jun Seok Kang, Polina Kuznetsova, Yejin Choi and Michael Luca
Restaurant hygiene inspections are often cited as a success story of public disclosure. Hygiene grades influence customer decisions and serve as an accountability system for restaurants. However, cities (which are responsible for inspections) have limited resources to... View Details
Keywords: Safety; Food; Governance Compliance; Mathematical Methods; Applications and Software; Public Administration Industry; Retail Industry; Food and Beverage Industry
Kang, Jun Seok, Polina Kuznetsova, Yejin Choi, and Michael Luca. "Where Not to Eat? Improving Public Policy by Predicting Hygiene Inspections Using Online Reviews." Proceedings of the Conference on Empirical Methods in Natural Language Processing (2013): 1443–1448.
- June 7, 1990
- Article
New Trading Practices and the Short-run Predictability of the S&P 500
By: André Perold, Kenneth A. Froot and James F. Gammill Jr.
- 2016
- Chapter
Return Predictability in the Treasury Market: Real Rates, Inflation, and Liquidity
By: Carolin E. Pflueger and Luis M. Viceira
Pflueger, Carolin E., and Luis M. Viceira. "Return Predictability in the Treasury Market: Real Rates, Inflation, and Liquidity." Chap. 10 in Handbook of Fixed-Income Securities, edited by Pietro Veronesi, 191–209. Wiley Handbooks in Financial Engineering and Econometrics. Hoboken, NJ: John Wiley & Sons, 2016.
- 2004
- Book
Seeing What's Next: Using the Theories of Innovation to Predict Industry Change
By: C. M. Christensen, Scott D. Anthony and Erik A Roth
Christensen, C. M., Scott D. Anthony, and Erik A Roth. Seeing What's Next: Using the Theories of Innovation to Predict Industry Change. Boston: Harvard Business School Press, 2004.
- January 2021
- Article
How Personality and Policy Predict Pandemic Behavior: Understanding Sheltering-in-Place in 55 Countries at the Onset of COVID-19
By: Friedrich M. Götz, Andrés Gvirtz, Adam D. Galinsky and Jon M. Jachimowicz
The spread of COVID-19 within any given country or community at the onset of the pandemic depended in part on the sheltering-in-place rate of its citizens. The pandemic led us to revisit one of psychology’s most fundamental and most basic questions in a high-stakes... View Details
Keywords: COVID; COVID-19; Pandemic; Shelter-in-place; Personality; Government; Interactionism; Health Pandemics; Behavior; Personal Characteristics; Policy; Governance Compliance
Götz, Friedrich M., Andrés Gvirtz, Adam D. Galinsky, and Jon M. Jachimowicz. "How Personality and Policy Predict Pandemic Behavior: Understanding Sheltering-in-Place in 55 Countries at the Onset of COVID-19." American Psychologist 76, no. 1 (January 2021): 39–49.
- June 2019
- Supplement
Improving Worker Safety in the Era of Machine Learning: Practicum in Predictive Analytics
By: Michael W. Toffel and Dan Levy