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(3,297)
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Show Results For
- All HBS Web
(3,297)
- News (517)
- Research (2,505)
- Events (43)
- Multimedia (18)
- Faculty Publications (1,611)
- February 2022
- Teaching Note
Borusan CAT: Monetizing Prediction in the Age of AI
By: Navid Mojir
Teaching Note for HBS Case No. 521-053. View Details
- fall 2004
- Article
Predictable Negotiations: Should Have Seen This Coming (Book Excerpt)
By: M. Bazerman and Michael Watkins
Bazerman, M., and Michael Watkins. "Predictable Negotiations: Should Have Seen This Coming (Book Excerpt)." Compass 2, no. 1 (fall 2004): 42–43.
- Article
Learning and Equilibrium as Useful Approximations: Accuracy of Prediction on Randomly Selected Constant Sum Games
By: Ido Erev, Alvin E. Roth, R. Slonim and Greg Barron
Erev, Ido, Alvin E. Roth, R. Slonim, and Greg Barron. "Learning and Equilibrium as Useful Approximations: Accuracy of Prediction on Randomly Selected Constant Sum Games." Special Issue on Behavioral Game Theory. Economic Theory 33, no. 1 (October 2007): 29–51.
- 21 Oct 2015
- Research & Ideas
How to Predict if a New Business Idea is Any Good
innovation and entrepreneurship. When dealing with something truly innovative, it’s difficult to compare it to anything that came before. That uncertainty makes the line between a tremendous success and a... View Details
- April 2024
- Article
A Machine Learning Algorithm Predicting Risk of Dilating VUR among Infants with Hydronephrosis Using UTD Classification
By: Hsin-Hsiao Scott Wang, Michael Lingzhi Li, Dylan Cahill, John Panagides, Tanya Logvinenko, Jeanne Chow and Caleb Nelson
Backgrounds: Urinary Tract Dilation (UTD) classification has been designed to be a more objective grading system to evaluate antenatal and post-natal UTD. Due to unclear association between UTD classifications to specific anomalies such as vesico-ureteral reflux (VUR),... View Details
Wang, Hsin-Hsiao Scott, Michael Lingzhi Li, Dylan Cahill, John Panagides, Tanya Logvinenko, Jeanne Chow, and Caleb Nelson. "A Machine Learning Algorithm Predicting Risk of Dilating VUR among Infants with Hydronephrosis Using UTD Classification." Journal of Pediatric Urology 20, no. 2 (April 2024): 271–278.
- Article
Inflation-Indexed Bonds and the Expectations Hypothesis
By: Carolin E. Pflueger and Luis M. Viceira
This paper empirically analyzes the Expectations Hypothesis (EH) in inflation-indexed (or real) bonds and in nominal bonds in the U.S. and in the U.K. We strongly reject the EH in inflation-indexed bonds and also confirm and update the existing evidence rejecting the... View Details
Keywords: TIPS; Breakeven Inflation; Return Predictability; Bond Risk Premia; Risk Management; Bonds; Financial Liquidity; Inflation and Deflation; United Kingdom; United States
Pflueger, Carolin E., and Luis M. Viceira. "Inflation-Indexed Bonds and the Expectations Hypothesis." Annual Review of Financial Economics 3 (2011): 139–158.
- March 2013
- Article
Misvaluing Innovation
By: Lauren Cohen, Karl Diether and Christopher Malloy
We demonstrate that a firm's ability to innovate is predictable, persistent, and relatively simple to compute, and yet the stock market ignores the implications of past successes when valuing future innovation. We show that two firms that invest the exact same in... View Details
Keywords: Innovation; Return Predictability; R＆D; Information; Forecasting and Prediction; Research and Development; Innovation and Invention
Cohen, Lauren, Karl Diether, and Christopher Malloy. "Misvaluing Innovation." Review of Financial Studies 26, no. 3 (March 2013): 635–666.
- 31 May 2023
- Research & Ideas
With Predictive Analytics, Companies Can Tap the Ultimate Opportunity: Customers’ Routines
If knowing what customers need is marketing gold, pinpointing exactly when they need it may just be platinum. Services that become part of a customer’s routine may deliver advantages beyond repeat business for a company, Harvard Business School Associate Professor Eva... View Details
- 2023
- Working Paper
Nailing Prediction: Experimental Evidence on the Value of Tools in Predictive Model Development
By: Daniel Yue, Paul Hamilton and Iavor Bojinov
Predictive model development is understudied despite its centrality in modern artificial
intelligence and machine learning business applications. Although prior discussions
highlight advances in methods (along the dimensions of data, computing power, and
algorithms)... View Details
Keywords: Analytics and Data Science
Yue, Daniel, Paul Hamilton, and Iavor Bojinov. "Nailing Prediction: Experimental Evidence on the Value of Tools in Predictive Model Development." Harvard Business School Working Paper, No. 23-029, December 2022. (Revised April 2023.)
- June 2015
- Case
The Valuation and Financing of Lady M Confections
By: Mihir A. Desai and Elizabeth A. Meyer
This case explores the decision-making process that small, private businesses must undertake when considering an expansion and when selling equity to outside investors. In the process, students are asked to complete two exercises: a break-even analysis and a valuation... View Details
Keywords: Lady M; Bakery; Foodservice Industry; Breakeven Analysis; Restaurant Industry; Forecasting; Forecast; Financial Analysis; Borrowing and Debt; Corporate Finance; Equity; Financial Management; Financial Strategy; Finance; Food; Valuation; Food and Beverage Industry; New York (city, NY)
Desai, Mihir A., and Elizabeth A. Meyer. "The Valuation and Financing of Lady M Confections." Harvard Business School Case 215-047, June 2015.
Nailing Prediction: Experimental Evidence on the Value of Tools in Predictive Model Development
Predictive model development is understudied despite its importance to modern businesses. Although prior discussions highlight advances in methods (along the dimensions of data, computing power, and algorithms) as the primary driver of model quality, the value of... View Details
- March 2020
- Supplement
People Analytics at Teach For America (B)
By: Jeffrey T. Polzer and Julia Kelley
This is a supplement to the People Analytics at Teach For America (A) case. In this supplement, situated one year after the A case, Managing Director Michael Metzger must decide how to apply his team's predictive models generated from the previous year’s data. View Details
Keywords: Analytics; Human Resource Management; Data; Workforce; Hiring; Talent Management; Forecasting; Predictive Analytics; Organizational Behavior; Recruiting; Analytics and Data Science; Forecasting and Prediction; Recruitment; Selection and Staffing; Talent and Talent Management
Polzer, Jeffrey T., and Julia Kelley. "People Analytics at Teach For America (B)." Harvard Business School Supplement 420-086, March 2020.
- 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
- 2006
- Working Paper
Learning and Equilibrium As Useful Approximations: Accuracy of Prediction on Randomly Selected Constant Sum Games
By: Ido Erev, Alvin E. Roth, Robert L. Slonim and Greg Barron
- 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.
- 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.