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Show Results For
- All HBS Web
(5,810)
- People (11)
- News (902)
- Research (4,158)
- Events (26)
- Multimedia (55)
- Faculty Publications (2,835)
- February 2018
- Article
Structural GARCH: The Volatility-Leverage Connection
By: Robert F. Engle and Emil N. Siriwardane
During the financial crisis, financial firm leverage and volatility both rose dramatically. Consequently, institutions are being asked to reduce leverage in order to reduce risk, though the effectiveness depends upon the role of capital structure in volatility. To... View Details
Keywords: Leverage; Credit Risk; Crisis Management; Equity; Volatility; Credit; Risk Management; Financial Crisis
Engle, Robert F., and Emil N. Siriwardane. "Structural GARCH: The Volatility-Leverage Connection." Review of Financial Studies 31, no. 2 (February 2018): 449–492.
- July 2022
- Article
Countercyclical Prudential Buffers and Bank Risk-taking
By: Manuel Illueca, Lars Norden, Joseph Pacelli and Gregory F. Udell
We investigate the effects of countercyclical prudential buffers on bank risk-taking. We exploit the introduction of dynamic loan loss provisioning in Spain, mandating that banks use historical average loss rates in their estimation of loan loss provisions. We find... View Details
Keywords: Banks; Bank Regulation; Macroprudential Policies; Bank Lending; Loan Loss Provisioning; Risk Taking; Banks and Banking; Financing and Loans; Governing Rules, Regulations, and Reforms; Risk and Uncertainty
Illueca, Manuel, Lars Norden, Joseph Pacelli, and Gregory F. Udell. "Countercyclical Prudential Buffers and Bank Risk-taking." Art. 100961. Journal of Financial Intermediation 51 (July 2022).
- 08 Oct 2020
- Research & Ideas
Keep Your Weary Workers Engaged and Motivated
example by giving rewards for both individual and team performance. Without direct oversight, “Relationships can all too readily slide into cutthroat competition or totally collusive bonding. Either extreme will harm the firm's... View Details
Keywords: by Boris Groysberg and Robin Abrahams
- July 2006
- Article
Do a Firm's Equity Returns Reflect the Risk of Its Pension Plan?
By: Li Jin, Robert C. Merton and Zvi Bodie
Jin, Li, Robert C. Merton, and Zvi Bodie. "Do a Firm's Equity Returns Reflect the Risk of Its Pension Plan?" Journal of Financial Economics 81, no. 1 (July 2006): 1–26.
- Article
Experience Theory, or How Desserts Are Like Losses
By: Jolie M. Martin, Martin Reimann and Michael I. Norton
While many experiments have explored risk preferences for money, few have systematically assessed risk preferences for everyday experiences. We propose a conceptual model and provide convergent evidence from seven experiments that, in contrast to a typical “zero”... View Details
Keywords: Experiences; Monetary Gambles; Risk Preferences; Experience Theory; Risk and Uncertainty; Behavior; Decision Choices and Conditions
Martin, Jolie M., Martin Reimann, and Michael I. Norton. "Experience Theory, or How Desserts Are Like Losses." Journal of Experimental Psychology: General 145, no. 11 (November 2016): 1460–1472.
- September 2012
- Article
The Relationship Between Economic Preferences and Psychological Personality Measures
By: Anke Becker, Thomas Deckers, Thomas Dohmen, Armin Falk and Fabian Kosse
Although both economists and psychologists seek to identify determinants of heterogeneity in behavior, they use different concepts to capture them. In this review, we first analyze the extent to which economic preferences and psychological concepts of personality, such... View Details
Keywords: Risk Preference; Time Preference; Social Preferences; Locus Of Control; Big Five; Economics; Behavior; Personal Characteristics
Becker, Anke, Thomas Deckers, Thomas Dohmen, Armin Falk, and Fabian Kosse. "The Relationship Between Economic Preferences and Psychological Personality Measures." Annual Review of Economics 4 (September 2012): 453–478.
- Article
Who, When, and Why: A Machine Learning Approach to Prioritizing Students at Risk of Not Graduating High School on Time
By: Everaldo Aguiar, Himabindu Lakkaraju, Nasir Bhanpuri, David Miller, Ben Yuhas, Kecia Addison and Rayid Ghani
Aguiar, Everaldo, Himabindu Lakkaraju, Nasir Bhanpuri, David Miller, Ben Yuhas, Kecia Addison, and Rayid Ghani. "Who, When, and Why: A Machine Learning Approach to Prioritizing Students at Risk of Not Graduating High School on Time." Proceedings of the International Learning Analytics and Knowledge Conference 5th (2015).
- Research Summary
Overview
I study how people collaborate with each other as they define, change, and solve problems while working on creativity and innovation projects in organizations.
Conference Proceedings:
Cromwell, J. & Gardner, H. 2017. High-stakes innovation: When... View Details
Conference Proceedings:
Cromwell, J. & Gardner, H. 2017. High-stakes innovation: When... View Details
- 2022
- Article
Missing Novelty in Drug Development
By: Joshua Krieger, Danielle Li and Dimitris Papanikolaou
We provide evidence that risk aversion leads pharmaceutical firms to underinvest in radical innovation. We introduce a new measure of drug novelty based on chemical similarity and show that firms face a risk-reward trade-off: novel drug candidates are less likely to... View Details
Keywords: Drug Development; Risk Aversion; Research and Development; Innovation and Invention; Investment; Pharmaceutical Industry
Krieger, Joshua, Danielle Li, and Dimitris Papanikolaou. "Missing Novelty in Drug Development." Review of Financial Studies 35, no. 2 (February 2022): 636–679.
- December 2021
- Case
Should I Stay or Should I Go? Assessing Risk in Carlos Ghosn's International Escape
By: Eugene F. Soltes, Grace Liu and Muneeb Ahmed
In 2018, automotive tycoon Carlos Ghosn was arrested in Japan on financial misreporting charges, followed later by charges of improper payments and misappropriation of funds. Over a year later, still awaiting trial, Ghosn organized his escape from house arrest in Tokyo... View Details
Keywords: Crime and Corruption; Decision Making; Cost vs Benefits; Decision Choices and Conditions; Ethics; Cross-Cultural and Cross-Border Issues; Law; Courts and Trials; Rights; Risk and Uncertainty; Auto Industry; Japan
Soltes, Eugene F., Grace Liu, and Muneeb Ahmed. "Should I Stay or Should I Go? Assessing Risk in Carlos Ghosn's International Escape." Harvard Business School Case 122-051, December 2021.
- 2002
- Working Paper
Legal Risk as a Determinant of Syndicate Structure in the Project Finance Loan Market
By: Benjamin C. Esty and William L. Megginson
- June 2009
- Teaching Note
Midland Energy Resources, Inc.: Cost of Capital (Brief Case)
By: Timothy A. Luehrman and Joel L. Heilprin
Teaching Note for 4129 View Details
- 07 Oct 2016
- Working Paper Summaries
Sovereign Debt Portfolios, Bond Risks, and the Credibility of Monetary Policy
- 2009
- Working Paper
An Ounce of Prevention: The Power of Public Risk Management in Stabilizing the Financial System
By: David A. Moss
The magnitude of the current financial crisis reflects the failure of an economic and regulatory philosophy that had proved increasingly influential in policy circles over the past three decades.
This paper suggests (1) that contrary to the prevailing wisdom,... View Details
Keywords: Financial Crisis; Financial Institutions; Governing Rules, Regulations, and Reforms; Risk Management; Business and Government Relations; Balance and Stability
Moss, David A. "An Ounce of Prevention: The Power of Public Risk Management in Stabilizing the Financial System." Harvard Business School Working Paper, No. 09-087, January 2009.
- June 2009
- Supplement
Midland Energy Resources, Inc.: Cost of Capital, Instructors Spreadsheet (Brief Case)
By: Timothy A. Luehrman and Joel L. Heilprin
- 03 Dec 2020
- Research & Ideas
Cut Payroll Costs with Transparency, Fairness, and Compassion
laid off 3,000 part-time and seasonal employees, primarily those with “short tenure” and those who “worked limited hours.” Elaborating on why they chose to do layoffs rather than furloughs, the company... View Details
Keywords: by Boris Groysberg and Sarah Abbott
- March 2025
- Article
Novice Risk Work: How Juniors Coaching Seniors on Emerging Technologies Such as Generative AI Can Lead to Learning Failures
By: Katherine C. Kellogg, Hila Lifshitz-Assaf, Steven Randazzo, Ethan Mollick, Fabrizio Dell'Acqua, Edward McFowland III, François Candelon and Karim R. Lakhani
The literature on communities of practice demonstrates that a proven way for senior professionals to upskill
themselves in the use of new technologies that undermine existing expertise is to learn from junior
professionals. It notes that juniors may be better able... View Details
Keywords: Rank and Position; Competency and Skills; Technology Adoption; Experience and Expertise; AI and Machine Learning
Kellogg, Katherine C., Hila Lifshitz-Assaf, Steven Randazzo, Ethan Mollick, Fabrizio Dell'Acqua, Edward McFowland III, François Candelon, and Karim R. Lakhani. "Novice Risk Work: How Juniors Coaching Seniors on Emerging Technologies Such as Generative AI Can Lead to Learning Failures." Art. 100559. Information and Organization 35, no. 1 (March 2025).
- 2023
- Working Paper
Complexity and Time
By: Benjamin Enke, Thomas Graeber and Ryan Oprea
We provide experimental evidence that core intertemporal choice anomalies -- including extreme short-run impatience, structural estimates of present bias, hyperbolicity and transitivity violations -- are driven by complexity rather than time or risk preferences. First,... View Details
Enke, Benjamin, Thomas Graeber, and Ryan Oprea. "Complexity and Time." NBER Working Paper Series, No. 31047, March 2023.
- January 2, 2008
- Editorial
A Better Way to Pay CEOs: Smarter Incentives Could Reduce the Risks They Pursue
By: A. Zelleke
Zelleke, A. "A Better Way to Pay CEOs: Smarter Incentives Could Reduce the Risks They Pursue." Christian Science Monitor (January 2, 2008).
- 2015
- Article
A Machine Learning Framework to Identify Students at Risk of Adverse Academic Outcomes
By: Himabindu Lakkaraju, Everaldo Aguiar, Carl Shan, David Miller, Nasir Bhanpuri, Rayid Ghani and Kecia Addison
Lakkaraju, Himabindu, Everaldo Aguiar, Carl Shan, David Miller, Nasir Bhanpuri, Rayid Ghani, and Kecia Addison. "A Machine Learning Framework to Identify Students at Risk of Adverse Academic Outcomes." Proceedings of the ACM SIGKDD Conference on Knowledge Discovery and Data Mining 21st (2015).