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- All HBS Web (87)
- Faculty Publications (41)
Show Results For
- All HBS Web (87)
- Faculty Publications (41)
- Article
Do Strict Capital Requirements Raise the Cost of Capital? Bank Regulation, Capital Structure and the Low Risk Anomaly
By: Malcolm Baker and Jeffrey Wurgler
Traditional capital structure theory predicts that reducing banks' leverage reduces the risk and cost of equity but does not change the weighted average cost of capital, and thus the rates for borrowers. We confirm that the equity of better-capitalized banks has lower... View Details
Baker, Malcolm, and Jeffrey Wurgler. "Do Strict Capital Requirements Raise the Cost of Capital? Bank Regulation, Capital Structure and the Low Risk Anomaly." American Economic Review: Papers and Proceedings 105, no. 5 (May 2015): 315–320.
- 2006
- Working Paper
Anomalies in Estimates of Cross-Elasticities for Marketing Mix Models: Theory and Empirical Test
By: Andre Bonfrer, Ernest R. Berndt and Alvin J. Silk
Bonfrer, Andre, Ernest R. Berndt, and Alvin J. Silk. "Anomalies in Estimates of Cross-Elasticities for Marketing Mix Models: Theory and Empirical Test." NBER Working Paper Series, No. 12756, December 2006.
- 2018
- Working Paper
Detecting Anomalies: The Relevance and Power of Standard Asset Pricing Tests
By: Malcolm Baker, Patrick Luo and Ryan Taliaferro
The two standard approaches for identifying capital market anomalies are cross-sectional coefficient tests, in the spirit of Fama and MacBeth (1973), and time-series intercept tests, in the spirit of Jensen (1968). A new signal can pass the first test, which we label a... View Details
Keywords: Investment Management; Anomalies; Portfolio Construction; Transaction Costs; Investment; Management; Asset Pricing; Market Transactions; Cost
Baker, Malcolm, Patrick Luo, and Ryan Taliaferro. "Detecting Anomalies: The Relevance and Power of Standard Asset Pricing Tests." Working Paper, July 2018.
- January–February 2012
- Article
A Simple Model Relating Accruals to Risk, and its Implications for the Accrual Anomaly
By: Mozaffar N. Khan
This paper models systematic risk as a function of mean-reverting accruals. When the true abnormal returns are zero, but the true betas are empirically unobserved, the model predicts the anomalous pattern of empirical results on the accrual anomaly: (i) CAPM abnormal... View Details
Khan, Mozaffar N. "A Simple Model Relating Accruals to Risk, and its Implications for the Accrual Anomaly." Journal of Business Finance & Accounting 39, nos. 1-2 (January–February 2012): 35–59.
- 2022
- Article
Nonparametric Subset Scanning for Detection of Heteroscedasticity
By: Charles R. Doss and Edward McFowland III
We propose Heteroscedastic Subset Scan (HSS), a novel method for identifying covariates that are responsible for violations of the homoscedasticity assumption in regression settings. Viewing the problem as one of anomalous pattern detection, we use subset scanning... View Details
Doss, Charles R., and Edward McFowland III. "Nonparametric Subset Scanning for Detection of Heteroscedasticity." Journal of Computational and Graphical Statistics 31, no. 3 (2022): 813–823.
- 2017
- Working Paper
Optimal Tilts: Combining Persistent Characteristic Portfolios
By: Malcolm Baker, Ryan Taliaferro and Terry Burnham
We examine the optimal weighting of four tilts in US equity markets from 1968 through 2014. We define a “tilt” as a characteristic-based portfolio strategy that requires relatively low annual turnover. This is a continuum, with small size, a very persistent... View Details
Baker, Malcolm, Ryan Taliaferro, and Terry Burnham. "Optimal Tilts: Combining Persistent Characteristic Portfolios." Working Paper, March 2017.
- Fourth Quarter 2017
- Article
Optimal Tilts: Combining Persistent Characteristic Portfolios
By: Malcolm Baker, Ryan Taliaferro and Terry Burnham
We examine the optimal weighting of four tilts in U.S. equity markets from 1968 through 2014. We define a “tilt” as a characteristic-based portfolio strategy that requires relatively low annual turnover. This is a continuum, with small size (a very persistent... View Details
Baker, Malcolm, Ryan Taliaferro, and Terry Burnham. "Optimal Tilts: Combining Persistent Characteristic Portfolios." Financial Analysts Journal 73, no. 4 (Fourth Quarter 2017): 75–89.
- Article
Fast Generalized Subset Scan for Anomalous Pattern Detection
By: Edward McFowland III, Skyler Speakman and Daniel B. Neill
We propose Fast Generalized Subset Scan (FGSS), a new method for detecting anomalous patterns in general categorical data sets. We frame the pattern detection problem as a search over subsets of data records and attributes, maximizing a nonparametric scan statistic... View Details
Keywords: Pattern Detection; Anomaly Detection; Knowledge Discovery; Bayesian Networks; Scan Statistics; Analytics and Data Science
McFowland III, Edward, Skyler Speakman, and Daniel B. Neill. "Fast Generalized Subset Scan for Anomalous Pattern Detection." Art. 12. Journal of Machine Learning Research 14 (2013): 1533–1561.
- 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.
- 2008
- Article
Learning (Not) to Talk About Race: When Older Children Underperform in Social Categorization
By: Evan P. Apfelbaum, Kristin Pauker, Nalini Ambady, Samuel R. Sommers and Michael I. Norton
The present research identifies an anomaly in sociocognitive development, whereby younger children (8 and 9 years) outperform their older counterparts (10 and 11 years) in a basic categorization task in which the acknowledgment of racial difference facilitates... View Details
Apfelbaum, Evan P., Kristin Pauker, Nalini Ambady, Samuel R. Sommers, and Michael I. Norton. "Learning (Not) to Talk About Race: When Older Children Underperform in Social Categorization." Developmental Psychology 44, no. 5 (2008).
- January 1993 (Revised June 1995)
- Case
Arbitrage in the Government Bond Market?
Documents a pricing anomaly in the large and liquid treasury bond market. The prices of callable treasury bonds seem to be inconsistent with the prices of noncallable treasuries and an arbitrage opportunity appears to exist. Permits instructors to introduce the... View Details
Edleson, Michael E., and Peter Tufano. "Arbitrage in the Government Bond Market?" Harvard Business School Case 293-093, January 1993. (Revised June 1995.)
Understanding Why Low Risk Stocks Can Be Undervalued
Contrary to basic finance principles, high-beta and high-volatility stocks have long underperformed low-beta and low-volatility stocks. This anomaly may be partly explained by the fact that the typical institutional investor's mandate to beat a fixed benchmark... View Details
- 12 PM – 1 PM EDT, 07 May 2015
- Webinars: Trending@HBS
The Low Risk Anomaly: Implications for Investment, Asset Allocation, and Corporate Finance
One of the basic principles of finance is that, in competitive and efficient markets, investors earn higher average returns only by taking greater risks. Asset classes follow this pattern: Stocks have returned more than bonds, and bonds have returned more than cash.... View Details
- March–April 2014
- Article
The Low-Risk Anomaly: A Decomposition into Micro and Macro Effects
By: Malcolm Baker, Brendan Bradley and Ryan Taliaferro
Low beta stocks have offered a combination of low risk and high returns. We decompose the anomaly into micro and macro components. The micro component comes from the selection of low beta stocks. The macro component comes from the selection of low beta countries or... View Details
Keywords: Low Volatility; Beta; Portfolio Construction; Market Efficiency; Capital Asset Pricing Model; Asset Management
Baker, Malcolm, Brendan Bradley, and Ryan Taliaferro. "The Low-Risk Anomaly: A Decomposition into Micro and Macro Effects." Financial Analysts Journal 70, no. 2 (March–April 2014): 43–58.
- Teaching Interest
Information in Financial Markets (Econ 970, Spring 2016)
Second-year undergraduate course covering various aspects of information propagation in financial markets. The course is divided into four units. We begin by covering canonical pricing anomalies that illustrate the importance of information distribution and... View Details
- November 2018
- Case
Swissgrid: Enterprise Risk Management in a Digital Age
By: Robert S. Kaplan and Anette Mikes
Kurt Meyer, chief risk officer of Swissgrid, the Swiss national electricity transmission system operator, reflects on the risk management system he installed after the deregulation and liberalization of the European energy market. With 41 connections to other European... View Details
Keywords: Enterprise Risk Management; Energy Transmission; Risk and Uncertainty; Risk Management; Energy; Energy Industry; Utilities Industry; Switzerland
Kaplan, Robert S., and Anette Mikes. "Swissgrid: Enterprise Risk Management in a Digital Age." Harvard Business School Case 119-045, November 2018.
- Research Summary
Biological Basis of Economic Behavior
Terry Burnham's research focuses on understanding human behavior, and economic behavior in particular, in the context of humans as evolved animals.
This research aims to reconcile two competing views within economics. The mainstream economic view is that economic... View Details
- November–December 2020
- Article
The Risks You Can't Foresee: What to Do When There's No Playbook
By: Robert S. Kaplan, Herman B. Leonard and Anette Mikes
No matter how good their risk management systems are, companies can’t plan for everything. Some risks are outside people’s realm of experience or so remote no one could have imagined them. Some result from a perfect storm of coinciding breakdowns, and some materialize... View Details
Kaplan, Robert S., Herman B. Leonard, and Anette Mikes. "The Risks You Can't Foresee: What to Do When There's No Playbook." Harvard Business Review 98, no. 6 (November–December 2020): 40–46.
- January–February 2022
- Article
Operational Disruptions, Firm Risk, and Control Systems
By: William Schmidt and Ananth Raman
Operational disruptions can impact a firm's risk, which manifests in a host of operational issues, including a higher holding cost for inventory, a higher financing cost for capacity expansion, and a higher perception of the firm's risk among its supply chain partners.... View Details
Keywords: Operational Risk; Operational Disruptions; Information Asymmetry; Control Systems; Operations; Disruption; Risk Management
Schmidt, William, and Ananth Raman. "Operational Disruptions, Firm Risk, and Control Systems." Manufacturing & Service Operations Management 24, no. 1 (January–February 2022): 411–429.
- 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.