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(2,847)
- News (463)
- Research (2,187)
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- Faculty Publications (1,400)
Show Results For
- All HBS Web
(2,847)
- News (463)
- Research (2,187)
- Events (40)
- Multimedia (14)
- Faculty Publications (1,400)
- 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.
- 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... View Details
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.
- Article
Sadness, Identity, and Plastic in Over-shopping: The Interplay of Materialism, Poor Credit Management, and Emotional Buying Motives in Predicting Compulsive Buying
By: Grant Edward Donnelly, Masha Ksendzova and Ryan Howell
A comprehensive study is currently lacking to explain why material values strongly influence compulsive buying. The goal of the current study is to test if money management, buying motivations for improving mood and identity, and self-transformation expectations... View Details
Donnelly, Grant Edward, Masha Ksendzova, and Ryan Howell. "Sadness, Identity, and Plastic in Over-shopping: The Interplay of Materialism, Poor Credit Management, and Emotional Buying Motives in Predicting Compulsive Buying." Journal of Economic Psychology 39 (December 2013): 113–125.
- 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.
- Article
Consumer Neuroscience: Advances in Understanding Consumer Psychology
By: Uma R. Karmarkar and Carolyn Yoon
While the study of consumer behavior has been enriched by improved abilities to generate new insights, many of the mechanisms underlying judgments and decision making remain difficult to investigate. In this review, we highlight some of the ways in which our... View Details
Keywords: Consumer Neuroscience; Neuroscience; Neuroeconomics; Consumer Psychology; Customer Behavior; Predictive Analytics; Neural Prediction; Neuroimaging; fMRI; Eye-tracking; Consumer Behavior; Marketing
Karmarkar, Uma R., and Carolyn Yoon. "Consumer Neuroscience: Advances in Understanding Consumer Psychology." Current Opinion in Psychology 10 (August 2016): 160–165.
- October 2020
- Article
IQ from IP: Simplifying Search in Portfolio Choice
By: Huaizhi Chen, Lauren Cohen, Umit Gurun, Dong Lou and Christopher J. Malloy
Using a novel database that tracks web traffic on the SEC’s EDGAR servers between 2004 and 2015, we show that mutual fund managers gather information on a very particular subset of firms and insiders, and their surveillance is very persistent over time. This tracking... View Details
Keywords: Tracked Trades; Return Predictability; Institutional Trading; Insider Trading; Institutional Investing; Information; Investment Portfolio; Decisions; Management
Chen, Huaizhi, Lauren Cohen, Umit Gurun, Dong Lou, and Christopher J. Malloy. "IQ from IP: Simplifying Search in Portfolio Choice." Journal of Financial Economics 138, no. 1 (October 2020): 118–137. (Winner of the First Prize, Crowell Memorial Award for Best Paper in Quantitative Investments, PanAgora Asset Management, 2019.)
- 2000
- Other Unpublished Work
New Trading Practices and the Short-run Predictability of the S&P 500: Market Volatility and Investor Confidence, Report to the Board of Directors of the New York Stock Exchange, Inc.
By: André Perold
- September 2017
- Article
The Belief in a Favorable Future
By: Todd Rogers, Don A. Moore and Michael I. Norton
People believe that future others’ preferences and beliefs will change to align with their own. People holding a particular view (e.g., support of President Trump) are more likely to believe that future others will share their view than to believe that future others... View Details
Keywords: Social Cognition; Judgment; Prediction; Forecasting; False Consensus; Donation; Open Data; Open Materials; Preregistered; Forecasting and Prediction; Perception; Values and Beliefs; Behavior
Rogers, Todd, Don A. Moore, and Michael I. Norton. "The Belief in a Favorable Future." Psychological Science 28, no. 9 (September 2017): 1290–1301.
- February 2017 (Revised June 2017)
- Case
ExxonMobil: Business as Usual? (A)
By: George Serafeim, Shiva Rajgopal and David Freiberg
Climate change was becoming an important societal and business issue as more governments were introducing climate change related regulations and investors became increasibly worried about stranded assets within oil and gas firms. In September 2016, the U.S. Securities... View Details
Keywords: Oil & Gas; Oil Prices; Oil Companies; Asset Impairment; Predictive Analytics; Sustainability; Environmental Impact; Innovation; Disclosure; Accounting; Valuation; Climate Change; Renewable Energy; Environmental Sustainability; Financial Reporting; Energy Industry
Serafeim, George, Shiva Rajgopal, and David Freiberg. "ExxonMobil: Business as Usual? (A)." Harvard Business School Case 117-046, February 2017. (Revised June 2017.)
- February 2017 (Revised June 2017)
- Supplement
ExxonMobil: Business as Usual? (B)
By: George Serafeim, Shiva Rajgopal and David Freiberg
The case presents ExxonMobil's response to growing pressure to disclose how climate change will impact their business. This includes multiple asset impairments and losing a proxy vote to shareholders to increase climate change related reporting. Supplements the (B)... View Details
Keywords: Oil & Gas; Oil Prices; Oil Companies; Asset Impairment; Predictive Analytics; Sustainability; Environmental Impact; Innovation; Disclosure; Accounting; Valuation; Energy Sources; Ethics; Corporate Disclosure; Governance Compliance; Climate Change; Financial Reporting; Energy Industry; United States
Serafeim, George, Shiva Rajgopal, and David Freiberg. "ExxonMobil: Business as Usual? (B)." Harvard Business School Supplement 117-047, February 2017. (Revised June 2017.)
- June 2014
- Case
Financial Policy at Apple, 2013 (A)
By: Mihir A. Desai and Elizabeth A. Meyer
By the end of 2013, Apple had $137 billion dollars in cash and marketable securities. This case explores how companies can generate such large amounts of cash and how and if they should distribute it to shareholders, especially in the face of shareholder pressure. In... View Details
Keywords: Apple; Steve Jobs; Forecast; Forecasting; Forecasting And Prediction; Shareholder Activism; Share Repurchase; Dividends; Financial Ratios; Preferred Shares; Cash Distribution; Corporate Finance; Borrowing and Debt; Financial Management; Financial Strategy; Technology Industry; Consumer Products Industry; United States; Republic of Ireland
- January 2021 (Revised March 2021)
- Case
THE YES: Reimagining the Future of E-Commerce with Artificial Intelligence (AI)
By: Jill Avery, Ayelet Israeli and Emma von Maur
THE YES, a multi-brand shopping app launched in May 2020 offered a new type of buying experience for women’s fashion, driven by a sophisticated algorithm that used data science and machine learning to create and deliver a personalized store for every shopper, based on... View Details
Keywords: Data; Data Analytics; Artificial Intelligence; AI; AI Algorithms; AI Creativity; Fashion; Retail; Retail Analytics; E-Commerce Strategy; Platform; Platforms; Big Data; Preference Elicitation; Preference Prediction; Predictive Analytics; App Development; "Marketing Analytics"; Advertising; Mobile App; Mobile Marketing; Apparel; Online Advertising; Referral Rewards; Referrals; Female Ceo; Female Entrepreneur; Female Protagonist; Analytics and Data Science; Analysis; Creativity; Marketing Strategy; Brands and Branding; Consumer Behavior; Demand and Consumers; Forecasting and Prediction; Marketing Channels; Digital Marketing; Internet and the Web; Mobile and Wireless Technology; AI and Machine Learning; E-commerce; Digital Platforms; Fashion Industry; Retail Industry; Apparel and Accessories Industry; Consumer Products Industry; United States
Avery, Jill, Ayelet Israeli, and Emma von Maur. "THE YES: Reimagining the Future of E-Commerce with Artificial Intelligence (AI)." Harvard Business School Case 521-070, January 2021. (Revised March 2021.)
- February 2018 (Revised December 2020)
- Supplement
People Analytics at Teach For America (Data Set)
This data set is a supplement to the People Analytics at Teach For America (A) case. View Details
- October 2017 (Revised November 2017)
- Case
NYC311
By: Constantine E. Kontokosta, Mitchell Weiss, Christine Snively and Sarah Gulick
Joe Morrisroe, executive director for NYC311, had some gut instincts but no definitive answer to the question he was just asked by one of the mayor’s deputies: “Are some communities being underserved by 311? How do we know we are hearing from the right people?” Founded... View Details
Keywords: New York City; NYC; 311; NYC311; Big Data; Equal Access; Bias; Data Analysis; Public Entrepreneurship; Urban Informatics; Predictive Analytics; Chief Data Officer; Data Analytics; Cities; City Leadership; Analytics and Data Science; Analysis; Prejudice and Bias; Entrepreneurship; Public Sector; City; Public Administration Industry; New York (city, NY)
- June 2014
- Supplement
Financial Policy at Apple, 2013 (B)
By: Mihir Desai and Elizabeth A. Meyer
This case is meant to accompany Financial Policy at Apple, 2013 (A) and details the results of Apple's Q2 2013 earnings call. View Details
Keywords: Apple; Steve Jobs; Forecast; Forecasting; Forecasting And Prediction; Shareholder Activism; Share Repurchase; Dividends; Financial Ratios; Preferred Shares; Cash Distribution; Corporate Finance; Borrowing and Debt; Financial Management; Financial Strategy; Technology Industry; Consumer Products Industry; United States; Republic of Ireland
Desai, Mihir, and Elizabeth A. Meyer. "Financial Policy at Apple, 2013 (B)." Harvard Business School Supplement 214-094, June 2014.
- June 2014
- Supplement
Financial Policy at Apple, 2013 Student Supplement
By: Mihir Desai and Elizabeth A. Meyer
This is the student spreadsheet supplement to case 214-085, Financial Policy at Apple, 2013 (A). View Details
Keywords: Apple; Steve Jobs; Forecast; Forecasting; Forecasting And Prediction; Shareholder Activism; Share Repurchase; Dividends; Financial Ratios; Preferred Shares; Cash Distribution; Corporate Finance; Borrowing and Debt; Financial Management; Financial Strategy; Technology Industry; Consumer Products Industry; United States; Republic of Ireland
- October 2014
- Supplement
Financial Policy at Apple, 2013 Excel Supplement
By: Mihir Desai and Elizabeth A. Meyer
This is the Excel Supplement to Teaching Note 215-022: Financial Policy at Apple, 2013 (A) - (B). View Details
Keywords: Apple; Steve Jobs; Forecast; Forecasting; Forecasting And Prediction; Shareholder Activism; Share Repurchase; Dividends; Financial Ratios; Preferred Shares; Cash Distribution; Corporate Finance; Borrowing and Debt; Financial Management; Financial Strategy; United States; Republic of Ireland
- October 2014
- Supplement
Financial Policy at Apple, 2013 Powerpoint Supplement
By: Mihir Desai and Elizabeth A. Meyer
This is the PowerPoint supplement to the teaching note: Financial Policy at Apple, 2013 (A) - (B), number 215-022. View Details
Keywords: Apple; Steve Jobs; Forecast; Forecasting; Forecasting And Prediction; Shareholder Activism; Share Repurchase; Dividends; Financial Ratios; Preferred Shares; Cash Distribution; Corporate Finance; Borrowing and Debt; Financial Management; Financial Strategy; Technology Industry; Consumer Products Industry; United States; Republic of Ireland
Desai, Mihir, and Elizabeth A. Meyer. "Financial Policy at Apple, 2013 Powerpoint Supplement." Harvard Business School PowerPoint Supplement 215-023, October 2014.
- October 2014
- Teaching Note
Financial Policy at Apple, 2013 (A) and (B)
By: Mihir A. Desai and Elizabeth Meyer
This is the teaching note to HBS case 214-085: Financial Policy at Apple, 2013 (A). View Details
Keywords: Apple; Steve Jobs; Forecast; Forecasting; Forecasting And Prediction; Shareholder Activism; Share Repurchase; Dividends; Financial Ratios; Preferred Shares; Cash Distribution; Corporate Finance; Borrowing and Debt; Financial Management; Financial Strategy; Technology Industry; Consumer Products Industry; United States; Republic of Ireland
- Teaching Interest
Overview
Paul is primarily interested in teaching data science to management students through the case method. This includes technical topics (programming and statistics) as well as higher-level management issues (digital transformation, data governance, etc.) As a research... View Details
Keywords: A/B Testing; AI; AI Algorithms; AI Creativity; Algorithm; Algorithm Bias; Algorithmic Bias; Algorithmic Fairness; Algorithms; Analytics; Application Program Interface; Artificial Intelligence; Causality; Causal Inference; Computing; Computers; Data Analysis; Data Analytics; Data Architecture; Data As A Service; Data Centers; Data Governance; Data Labeling; Data Management; Data Manipulation; Data Mining; Data Ownership; Data Privacy; Data Protection; Data Science; Data Science And Analytics Management; Data Scientists; Data Security; Data Sharing; Data Strategy; Data Visualization; Database; Data-driven Decision-making; Data-driven Management; Data-driven Operations; Datathon; Economics Of AI; Economics Of Innovation; Economics Of Information System; Economics Of Science; Forecast; Forecast Accuracy; Forecasting; Forecasting And Prediction; Information Technology; Machine Learning; Machine Learning Models; Prediction; Prediction Error; Predictive Analytics; Predictive Models; Analysis; AI and Machine Learning; Analytics and Data Science; Applications and Software; Digital Transformation; Information Management; Digital Strategy; Technology Adoption