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- Faculty Publications (26)
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- 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.
- 2013
- Working Paper
Do Strict Capital Requirements Raise the Cost of Capital? Banking Regulation and the Low Risk Anomaly
By: Malcolm Baker and Jeffrey Wurgler
Minimum capital requirements are a central tool of banking regulation. Setting them balances a number of factors, including any effects on the cost of capital and in turn the rates available to borrowers. Standard theory predicts that, in perfect and efficient capital... View Details
Keywords: Risk and Uncertainty; Cost of Capital; Capital Markets; Banks and Banking; Banking Industry; United States
Baker, Malcolm, and Jeffrey Wurgler. "Do Strict Capital Requirements Raise the Cost of Capital? Banking Regulation and the Low Risk Anomaly." NBER Working Paper Series, No. 19018, May 2013.
- 2011
- Chapter
The Analyst Recommendation and Earnings Forecast Anomaly
By: George Serafeim
Serafeim, George. "The Analyst Recommendation and Earnings Forecast Anomaly." Chap. 3 in The Handbook of Equity Market Anomalies: Translating Market Inefficiencies into Effective Investment Strategies, edited by Len Zacks, 63–91. John Wiley & Sons, 2011.
- January – February 2011
- Article
Benchmarks as Limits to Arbitrage: Understanding the Low-Volatility Anomaly
By: Malcolm Baker, Brendan Bradley and Jeffrey Wurgler
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
Keywords: Volatility; Stocks; Investment Return; Investment Portfolio; Risk Management; Performance Expectations
Baker, Malcolm, Brendan Bradley, and Jeffrey Wurgler. "Benchmarks as Limits to Arbitrage: Understanding the Low-Volatility Anomaly." Financial Analysts Journal 67, no. 1 (January–February 2011).
- 2010
- Chapter
Understanding and Coping with the Increasing Risk of System-Level Accidents
By: Dutch Leonard and Arnold M. Howitt
The world has seen a number of recent events in which major systems came to a standstill, not from one cause alone but from the interaction of a combination of causes. System-level accidents occur when anomalies or errors in different parts of an interconnected system... View Details
Leonard, Dutch, and Arnold M. Howitt. "Understanding and Coping with the Increasing Risk of System-Level Accidents." In Integrative Risk Management: Advanced Disaster Recovery, edited by Simon Woodward. Zurich, Switzerland: Swiss Re, Centre for Global Dialogue, 2010.
- 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).