- PEAD. txt: Post-Earnings-Announcement Drift Using Text. Vitaly Meursault, Pierre Jinghong Liang, Bryan R Routledge, and Madeline Marco Scanlon. Working Paper, March, 2021.
- Getting Blockchain Incentives Right. Zahra Ebrahimi, Bryan Routledge, and Ariel Zetlin-Jones. Working Paper, December, 2019.
- The Price of Oil Risk. Steven A. Baker and Bryan R. Routledge. Working Paper, February, 2017.
- Predicting Merger Targets and Acquirers from Text. Bryan R. Routledge, Noah Smith A. Smith, and Stefano Sacchetto. Working Paper, November, 2016.
- >Currency Stability Using Blockchain Technology. Bryan R. Routledge and Ariel Zetlin-Jones. Journal of Economic Dynamics forthcoming, January, 2021.
- Towards Understanding Cryptocurrency Derivatives: A Case Study of BitMEX. Kyle Soska, Jin-Dong Dong, Alex Khodaverdian, Ariel Zetlin-Jones, Bryan Routledge, and Nicolas Christin. In Proceedings of the 30th international conference on World Wide Web, 2021.
- Why a right to an explanation of algorithmic decision-making should exist: A trust-based approach. Tae Wan Kim and Bryan R. Routledge. Business Ethics Quarterly forthcoming, 2020.
- Are Data Subjects Investors?. Tae Wan Kim, Jooho Lee, Joseph Xu, and Bryan R. Routledge. Berkeley Business Law Journal forthcoming, 2020.
- Machine learning and asset allocation. Bryan R. Routledge. Financial Management 48, 2019.
- Does Macro-Asset Pricing Matter for Corporate Finance?. Yongjin Kim and Bryan R. Routledge. Critical Finance Review Forthcoming, 2019.
- Informational Privacy, A Right to Explanation, and Interpretable AI. Tae Wan Kim and Bryan R Routledge. In 2018 IEEE Symposium on Privacy-Aware Computing (PAC), , 2018.
- Comments on: Big Data in Finance and the Growth of Large Firms, by Juliane Begenau & Maryam Farboodi & Laura Veldkamp. Bryan R. Routledge. Journal of Monetary Economics 97, 2018.
- Equilibrium Commodity Prices with Irreversible Investment and Non-Linear Technologies. Jaime Casassus, Pierre Collin-Dufresne, and Bryan Routledge. Journal of Banking and Finance 95, October, 2018.
- Friends with Motives: Using Text to Infer Influence on SCOTUS. Yanchuan Sim, Bryan Routledge, and Noah A. Smith. In Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, Austin, Texas, November, 2016.
- Character Sequence Models for Colorful Words. Kazuya Kawakami, Chris Dyer, Bryan Routledge, and Noah A. Smith. In Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, Austin, Texas, November, 2016. [Demo] [PDF]
- Linguistic Markers of Status in Food Culture: Bourdieu's Distinction in a Menu Corpus. Dan Jurafsky, Victor Chahuneau, Bryan R. Routledge, and Noah A. Smith. Cultural Analytics October, 2016.
- A Sparse and Adaptive Prior for Time-Dependent Model Parameters. Dani Yogatama, Bryan R Routledge, and Noah A Smith. In Proceedings of the NIPS Workshop on Time Series, Montreal, Québec, December, 2016.
- A Utility Model of Authors in the Scientific Community. Yanchuan Sim, Bryan Routledge, and Noah A. Smith. In Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing, Lisbon, Portugal, September, 2015.
- Narrative framing of consumer sentiment in online restaurant reviews. Dan Jurafsky, Victor Chahuneau, Bryan R Routledge, and Noah A Smith. First Monday 19, 2014.
- The utility of text: The case of Amicus briefs and the Supreme Court. Yanchuan Sim, Bryan Routledge, and Noah A Smith. In Proceedings of the AAAI Conference on Artificial Intelligence (AAAI 2015), Austin, Texas, January, 2015.
- Large-scale insider trading analysis: patterns and discoveries. Acar Tamersoy, Elias Khalil, Bo Xie, Stephen L Lenkey, Bryan R Routledge, Duen Horng Chau, and Shamkant B Navathe. Social Network Analysis and Mining 4, 2014. [PDF]
- Dynamic language models for streaming text. Dani Yogatama, Chong Wang, Bryan R Routledge, Noah A Smith, and Eric P Xing. Transactions of the Association for Computational Linguistics 2, 2014.
- Inside insider trading: Patterns & discoveries from a large scale exploratory analysis. Acar Tamersoy, Bo Xie, Stephen L Lenkey, Bryan R Routledge, Duen Horng Chau, and Shamkant B Navathe. In Proceedings of the 2013 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, , 2013. [PDF] [Poster]
- Word Salad: Relating Food Prices and Descriptions. Victor Chahuneau, Kevin Gimpel, Bryan R. Routledge, Lily Scherlis, and Noah A. Smith. In Proceedings of the 2012 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning, Jeju Island, Korea, July, 2012.
- Corporate Decision-Making, Net Present Value, and the Environment. Bryan R. Routledge. In Pratima Bansal and Andrew J. Hoffman, editors, The Oxford Handbook of Business and the Natural Environment, New York, 2012. [Amzon]
- Predicting a Scientific Community’s Response to an Article. Dani Yogatama, Michael Heilman, Brendan O'Connor, Chris Dyer, Bryan R. Routledge, and Noah A. Smith. In Proceedings of the 2011 Conference on Empirical Methods in Natural Language Processing, Edinburgh, Scotland, UK., July, 2011.
- Generalized Disappointment Aversion and Asset Prices. Bryan R. Routledge and Stanley E. Zin. Journal of Finance 65, August, 2010. [NBER]
- From tweets to polls: Linking text sentiment to public opinion time series.. Brendan O'Connor, Ramnath Balasubramanyan, Bryan R Routledge, and Noah A Smith. In Proceedings of the International AAAI Conference on Weblogs and Social Media (ICWSM 2010), Washington, DC., May, 2010. [PDF]
- Predicting Risk from Financial Reports with Regression. Shimon Kogan, Dimitry Levin, Bryan R. Routledge, Jacob S. Sagi, and Noah A. Smith. In Proceedings of Human Language Technologies: The 2009 Annual Conference of the North American Chapter of the Association for Computational Linguistics, Boulder, Colorado, June, 2009.
- Model uncertainty and liquidity. Bryan R Routledge and Stanley E Zin. Review of Economic dynamics 12, 2009. [NBER] [PDF]
- Recursive Preferences. David K. Backus, Bryan R. Routledge, and Stanley E. Zin. In Steven N. Durlauf and Lawrence E. Blume, editors, The New Palgrave Dictionary of Economics, Basingstoke, 2008. [PDF]
- Exotic Preferences for Macroeconomists. David K. Backus, Bryan R. Routledge, and Stanley E. Zin. In Mark Gertler and Kenneth Rogoff, editors, NBER Macroeconomics Annual 2004, Cambridge, MA, 2005. [NBER]
- Social Capital and Growth. Bryan R. Routledge and Joachim von Amsberg. Journal of Monetary Economics 50, January, 2003. [PDF]
- Project Assignment Rights and Incentives for Eliciting Ideas. Anil Arya, Jonathan Glover, and Bryan R. Routledge. Management Science 48, 2002.
- Genetic Algorithm Learning to Choose and Use Information. Bryan R. Routledge. Macroeconomic Dynamics 5, April, 2001.
- Equilibrium Forward Curves for Commodities. Bryan R. Routledge, Duane J. Seppi, and Chester S. Spatt. Journal of Finance 60, June, 2000. [PDF]
- Adaptive Learning in Financial Markets. Bryan R. Routledge. Review of Financial Studies 12, 1999. [PDF]
- Economics of the Prisoner’s Dilemma: a background. Bryan R Routledge. In Peter Danielson, editors, Modeling Rationality, Morality and Evolution, New York, 1998. [Amazon] [Google]
- Fintech (MBA); Project Course - Machine Learning and Finance (BA); Business Science (BA); Asset Management (MSCF);
Venture Capital and Private Equity (MBA);
“Integrated View of Business” at MBA “Basecamp” (MBA);
Finance core (MBA);
Finance core (MSCF);
Financial Economics for Computational Finance (MSCF);
Alpha: Trading on Behavioral Finance (MBA);
Finance Core/Valuation (Ph.D.);
Preferences and Behaviorioral Finance (Ph.D.);
Various custom programs (Executive Education)
Mailing and Delivery Address
Tepper School of Business
Carnegie Mellon University
5000 Forbes Ave
Pittsburgh, PA, 15213
- Template borrowed from Chris
Dyer who borrowed it from Noah
Smith. Or the other way around.
- Updated: 03.18.2017