Filter Results:
(2,847)
Show Results For
- All HBS Web
(2,847)
- News (463)
- Research (2,187)
- Events (40)
- Multimedia (14)
- 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)
- Research Summary
Implications of Limits of Arbitrage (with James Choi)
In this project we investigate the relationship between limits to arbitrage facing mutual fund managers and asset pricing anomalies. We measure changes in the limits to arbitrage by computing the average of slopes on current and past returns in quarterly... View Details
- August–September 2012
- Article
The Future of Boards: Meeting the Governance Challenges of the 21st Century
By: Jay W. Lorsch
Predicting the challenges boards will face in the years ahead requires an understanding of how they and the governance they have provided has evolved in past years, as well as the challenges they face in the years ahead. Since I have been serving on and doing research... View Details
Keywords: Boards Of Directors; Corporate Governance; Governance; Succession; Compensation; Governing and Advisory Boards
Lorsch, Jay W. "The Future of Boards: Meeting the Governance Challenges of the 21st Century." European Financial Review (August–September 2012), 2–4.
- 25 Apr 2007
- Research & Ideas
Feeling Stuck? Getting Past Impasse
the crisis. We realize that our old ways are not working. It's not a matter of staying up late, working harder, and getting in earlier. Emotionally there's the feeling of being stuck. And then some predictable things happen in the second... View Details
Keywords: by Martha Lagace
Siyu Zhang
Siyu Zhang is a second-year doctoral student at HBS. Zhang joined Harvard Business School in 2020 as a Research Associate and has been working on macroeconomic forecasting projects. Prior to joining HBS, he was a Data Scientist at John Hancock, where he utilized... View Details
- 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.
- 31 Oct 2004
- What Do You Think?
Should the Wisdom of Crowds Influence Our Thinking About Leadership?
have been found to be better than a few experts at everything from estimating the true magnitude of things (as in guessing the number of jelly beans in a jar) to diagnosing causes of problems (as in determining that the O-ring seals were the primary cause of the... View Details
Keywords: by James Heskett
- 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.
- July 1986 (Revised August 1987)
- Background Note
Note on Comparative Advantage
By: David B. Yoffie and John J. Coleman
Discusses David Ricardo's theory of comparative advantage and the refinement of his model developed by Eli Heckscher and Bertil Ohlin. Presents several criticisms of the Heckscher-Ohlin theory, including Wassily Leontief's empirical demonstration that the nature of... View Details
Yoffie, David B., and John J. Coleman. "Note on Comparative Advantage." Harvard Business School Background Note 387-023, July 1986. (Revised August 1987.)
- Article
Ensembles of Overfit and Overconfident Forecasts
By: Y. Grushka-Cockayne, V.R.R. Jose and K. C. Lichtendahl
Firms today average forecasts collected from multiple experts and models. Because of cognitive biases, strategic incentives, or the structure of machine-learning algorithms, these forecasts are often overfit to sample data and are overconfident. Little is known about... View Details
Grushka-Cockayne, Y., V.R.R. Jose, and K. C. Lichtendahl. "Ensembles of Overfit and Overconfident Forecasts." Management Science 63, no. 4 (April 2017): 1110–1130.
- 13 Sep 2016
- News
The Hard Truth About Business Model Innovation
- 2008
- Working Paper
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... View Details
Baker, Malcolm, Robin Greenwood, and Jeffrey Wurgler. "Catering through Nominal Share Prices." NBER Working Paper Series, No. w13762, January 2008. (First Draft in 2007.)
- 13 Apr 2017
- News
Three men + software = l'Elysée?
- Article
Beacon and Warning: Sherman Kent, Scientific Hubris, and the CIA's Office of National Estimates
By: J. Peter Scoblic
Would-be forecasters have increasingly extolled the predictive potential of Big Data and artificial intelligence. This essay reviews the career of Sherman Kent, the Yale historian who directed the CIA’s Office of National Estimates from 1952 to 1967, with an eye toward... View Details
Keywords: National Security; Analytics and Data Science; Analysis; Forecasting and Prediction; History
Scoblic, J. Peter. "Beacon and Warning: Sherman Kent, Scientific Hubris, and the CIA's Office of National Estimates." Texas National Security Review 1, no. 4 (August 2018).
- 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.
- 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.)
- Article
Why Do Pro Forma and Street Earnings Not Reflect Changes in GAAP? Evidence from SFAS 123R
By: Ian D. Gow, Mary E. Barth and Daniel Taylor
This study examines how key market participants—managers and analysts—responded to SFAS 123R's controversial requirement that firms recognize stock-based compensation expense. Despite mandated recognition of the expense, some firms' managers exclude it from pro forma... View Details
Gow, Ian D., Mary E. Barth, and Daniel Taylor. "Why Do Pro Forma and Street Earnings Not Reflect Changes in GAAP? Evidence from SFAS 123R." Review of Accounting Studies 17, no. 3 (September 2012): 526–562.
- 2024
- Working Paper
Pitfalls of Demographic Forecasts of U.S. Elections
By: Richard Calvo, Vincent Pons and Jesse M. Shapiro
Many observers have forecast large partisan shifts in the US electorate based on demographic trends. Such forecasts are appealing because demographic trends are often predictable even over long horizons. We backtest demographic forecasts using data on US elections... View Details
Keywords: Mathematical Methods; Voting; Political Elections; Trends; Forecasting and Prediction; Demographics
Calvo, Richard, Vincent Pons, and Jesse M. Shapiro. "Pitfalls of Demographic Forecasts of U.S. Elections." NBER Working Paper Series, No. 33016, October 2024.