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(2,836)
- News (457)
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- Faculty Publications (1,383)
Show Results For
- All HBS Web
(2,836)
- News (457)
- Research (2,173)
- Events (39)
- Multimedia (14)
- Faculty Publications (1,383)
- 2001
- Working Paper
When Does the Market Matter? Stock Prices and the Investment of Equity Dependent Firms
By: Malcolm Baker, Jeremy Stein and Jeffrey Wurgler
We use a simple model of corporate investment to determine when investment will be sensitive to non-fundamental movements in stock prices. The key cross-sectional prediction of the model is that stock prices will have a stronger impact on the investment of firms that... View Details
Baker, Malcolm, Jeremy Stein, and Jeffrey Wurgler. "When Does the Market Matter? Stock Prices and the Investment of Equity Dependent Firms." NBER Working Paper Series, No. 8750, December 2001. (First draft in 2001.)
- fall 2007
- Article
The Design of Patent Pools: The Determinants of Licensing Rules
By: Josh Lerner, Marcin Strojwas and Jean Tirole
Patent pools are an important but little-studied economic institution. In this paper, we first make a set of predictions about the licensing terms associated with patent pools. The theoretical framework predicts that (a) pools consisting of complementary patents are... View Details
Keywords: Governing Rules, Regulations, and Reforms; Collaborative Innovation and Invention; Patents; Rights
Lerner, Josh, Marcin Strojwas, and Jean Tirole. "The Design of Patent Pools: The Determinants of Licensing Rules." RAND Journal of Economics 38, no. 3 (fall 2007): 610–625. (Earlier version distributed as National Bureau of Economic Research Working Paper No. 9680.)
- February 2024
- Article
Representation and Extrapolation: Evidence from Clinical Trials
By: Marcella Alsan, Maya Durvasula, Harsh Gupta, Joshua Schwartzstein and Heidi L. Williams
This article examines the consequences and causes of low enrollment of Black patients in clinical
trials. We develop a simple model of similarity-based extrapolation that predicts that evidence is
more relevant for decision-making by physicians and patients when it... View Details
Keywords: Representation; Racial Disparity; Health Testing and Trials; Race; Equality and Inequality; Innovation and Invention; Pharmaceutical Industry
Alsan, Marcella, Maya Durvasula, Harsh Gupta, Joshua Schwartzstein, and Heidi L. Williams. "Representation and Extrapolation: Evidence from Clinical Trials." Quarterly Journal of Economics 139, no. 1 (February 2024): 575–635.
- March 2002 (Revised December 2002)
- Background Note
A Note on Corporate Venturing and New Business Creation
By: David A. Garvin
Presents an introduction and overview of corporate venturing. Describes the need for companies to create new businesses, the stages in the process, predictable problems and challenges, the strengths and weaknesses of alternative approaches such as internal venture... View Details
Keywords: Business Plan; Business Startups; Forecasting and Prediction; Venture Capital; Problems and Challenges
Garvin, David A. "A Note on Corporate Venturing and New Business Creation." Harvard Business School Background Note 302-091, March 2002. (Revised December 2002.)
- Article
Soul and Machine (Learning)
By: Davide Proserpio, John R. Hauser, Xiao Liu, Tomomichi Amano, Burnap Alex, Tong Guo, Dokyun (DK) Lee, Randall Lewis, Kanishka Misra, Eric Schwarz, Artem Timoshenko, Lilei Xu and Hema Yoganarasimhan
Machine learning is bringing us self-driving cars, medical diagnoses, and language translation, but how can machine learning help marketers improve marketing decisions? Machine learning models predict extremely well, are scalable to “big data,” and are a natural fit to... View Details
Keywords: Machine Learning; Marketing Applications; Knowledge; Technological Innovation; Core Relationships; Marketing; Applications and Software
Proserpio, Davide, John R. Hauser, Xiao Liu, Tomomichi Amano, Burnap Alex, Tong Guo, Dokyun (DK) Lee, Randall Lewis, Kanishka Misra, Eric Schwarz, Artem Timoshenko, Lilei Xu, and Hema Yoganarasimhan. "Soul and Machine (Learning)." Marketing Letters 31, no. 4 (December 2020): 393–404.
- Article
The Cross Section of Expected Holding Period Returns and Their Dynamics: A Present Value Approach
By: Matthew R. Lyle and Charles C.Y. Wang
We provide a tractable model of firm-level expected holding period returns using two firm fundamentals—book-to-market ratio and ROE—and study the cross-sectional properties of the model-implied expected returns. We find that 1) firm-level expected returns and expected... View Details
Keywords: Expected Returns; Discount Rates; Holding Period Returns; Fundamental Valuation; Present Value; Valuation; Investment Return
Lyle, Matthew R., and Charles C.Y. Wang. "The Cross Section of Expected Holding Period Returns and Their Dynamics: A Present Value Approach." Journal of Financial Economics 116, no. 3 (June 2015): 505–525.
- May 2006
- Case
Nokia in 2003
By: Paul M. Healy
Examines the challenges facing a money manager who owns stock in Nokia, the leading wireless handset provider. Two analysts covering the stock make very different predictions about the economies of the industry, Nokia's future performance, and stock recommendations.... View Details
- April 2024
- Article
Loneliness and Emotion Regulation in Daily Life
By: Lameese Eldesouky, Amit Goldenberg and Kate Ellis
There is a growing understanding that emotion regulation (ER) abilities can be an important buffer for loneliness. However, most of this research is cross-sectional. Thus, it is unknown whether loneliness is associated with ER in momentary evaluations and can predict... View Details
Eldesouky, Lameese, Amit Goldenberg, and Kate Ellis. "Loneliness and Emotion Regulation in Daily Life." Art. 112566. Personality and Individual Differences 221 (April 2024).
- December 2012
- Article
Evidence on the Use of Unverifiable Estimates in Required Goodwill Impairment
By: Karthik Ramanna and Ross L. Watts
SFAS 142 requires managers to estimate the current fair value of goodwill to determine goodwill write-offs. In promulgating the standard, the FASB predicted managers will, on average, use the fair value estimates to convey private information on future cash flows. The... View Details
Keywords: Goodwill Impairment; Fair-value Accounting; FASB; SFAS 142; Fair Value Accounting; Standards; Cash Flow; Agency Theory; Motivation and Incentives; Forecasting and Prediction; Goodwill Accounting
Ramanna, Karthik, and Ross L. Watts. "Evidence on the Use of Unverifiable Estimates in Required Goodwill Impairment." Review of Accounting Studies 17, no. 4 (December 2012): 749–780.
- 2009
- Article
Compelled to Help: Effects of Direct and Indirect Exchange on Perceived Obligation in Professional Networks
By: Roy Y.J. Chua, Billian Sullivan and Michael W. Morris
This research examines felt obligation to help others in employees' and managers' professional networks using a social exchange perspective. We hypothesize that obligation toward others would follow the norms of both direct and indirect reciprocity. Direct reciprocity... View Details
Keywords: Perspective; Conflict of Interests; Research; Surveys; Networks; Forecasting and Prediction; Social Issues
Chua, Roy Y.J., Billian Sullivan, and Michael W. Morris. "Compelled to Help: Effects of Direct and Indirect Exchange on Perceived Obligation in Professional Networks." Academy of Management Annual Meeting Proceedings (2009).
- 18 Nov 2015
- News
The internet of things will bring makers closer to customers
- 03 Jan 2014
- News
Book Review: 'Fortune Tellers' by Walter Friedman
- August 2018 (Revised September 2018)
- Case
LendingClub (A): Data Analytic Thinking (Abridged)
By: Srikant M. Datar and Caitlin N. Bowler
LendingClub was founded in 2006 as an alternative, peer-to-peer lending model to connect individual borrowers to individual investor-lenders through an online platform. Since 2014 the company has worked with institutional investors at scale. While the company assigns... View Details
Keywords: Data Science; Data Analytics; Investing; Loans; Investment; Financing and Loans; Analytics and Data Science; Analysis; Forecasting and Prediction; Business Model
Datar, Srikant M., and Caitlin N. Bowler. "LendingClub (A): Data Analytic Thinking (Abridged)." Harvard Business School Case 119-020, August 2018. (Revised September 2018.)
- 07 Jun 2019
- Working Paper Summaries
Reflexivity in Credit Markets
- 2022
- Working Paper
Values as Luxury Goods and Political Polarization
By: Benjamin Enke, Mattias Polborn and Alex A Wu
Motivated by novel survey evidence, this paper develops a theory of political
behavior in which values are a luxury good: the relative weight voters place
on values rather than material considerations increases in income. The model
predicts (i) voters who are... View Details
Keywords: Political Polarization; Government and Politics; Moral Sensibility; Luxury; Values and Beliefs; Voting
Enke, Benjamin, Mattias Polborn, and Alex A Wu. "Values as Luxury Goods and Political Polarization." Working Paper, April 2022. (Revised April 2023.)
- December 2009
- Article
Catering Through Nominal Share Prices
By: Malcolm Baker, Robin Greenwood and Jeffrey Wurgler
We propose and test a catering theory of nominal stock prices. The theory predicts that when investors place higher valuation on low-price firms, managers will maintain share prices at lower levels, and vice-versa. Using measures of time-varying catering incentives... View Details
Baker, Malcolm, Robin Greenwood, and Jeffrey Wurgler. "Catering Through Nominal Share Prices." Journal of Finance 64, no. 6 (December 2009): 2559–2590. (Internet Appendix.)
- 2024
- Working Paper
Warnings and Endorsements: Improving Human-AI Collaboration Under Covariate Shift
By: Matthew DosSantos DiSorbo and Kris Ferreira
Problem definition: While artificial intelligence (AI) algorithms may perform well on data that are representative of the training set (inliers), they may err when extrapolating on non-representative data (outliers). These outliers often originate from covariate shift,... View Details
DosSantos DiSorbo, Matthew, and Kris Ferreira. "Warnings and Endorsements: Improving Human-AI Collaboration Under Covariate Shift." Working Paper, February 2024.
- 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... View Details
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.