- Applied econometrics
- Damages estimation
- Energy market analysis
- Class certification analysis
- Market manipulation
- Predictive modeling
- Commodity markets
- Computer hardware and software
- Oil and gas
- Chinese (Mandarin)
Ai Deng has over a decade of experience in litigation consulting and academic research. With expertise in econometrics and data analysis and a passion for teaching, he assists clients with understanding complex economic and econometric issues and developing easy-to-understand documents that explain technical arguments to judges and juries and leads teams in these analyses. He has also worked extensively with government agencies including the Federal Energy Regulatory Commission (FERC), the Commodities Futures Trade Commission (CFTC), and the US Federal Trade Commission (FTC). He has experience in a variety of industries, including high-tech, financial (including commodities), chemical, vitamins, and energy industries.
Dr. Deng is an invited external expert for the Romanian National Council for Scientific Research and a lecturer at the Advanced Academic Program, Johns Hopkins University. He has published in and been invited as a peer referee for many academic journals. In addition to his academic publications, Dr. Deng has also written for the general antitrust audience. Some of this work has appeared in Journal of Competition Law & Economics, Journal of Antitrust Enforcement, Antitrust Magazine, Antitrust Bulletin, Law360, and American Bar Association’s Economics Committee Newsletter. He is also a guest contributor to the popular blog cartelcapers (an ABA Journal Blawg 100 honoree), offering commentary on economic and econometric issues in litigation.
In addition to his consulting work, he enjoys teaching graduate-level courses at Johns Hopkins University. His current research interests include predictive and causal inferences with machine learning algorithms with applications to price and market manipulation and the intersection between artificial intelligence and antitrust.
- Co-led extensive analyses in support of cartel damages in a number of litigations, including In re Dynamic Random Access Memory (DRAM) Antitrust Litigation, Oracle America, Inc. v. Micron Technology, Inc., In re TFT-LCD (Flat Panel) Antitrust Litigation, In re Urethane Antitrust Litigation, In re Rubber Chemicals Antitrust Litigation, and In re Vitamin C Antitrust Litigation.
- Supported the expert witness and advised clients in CFTC v. Parnon Energy Inc., et al., Case No. 11-cv-3543 (SDNY) involving alleged manipulation of crude oil calendar spreads. Analyzed whether the NYMEX Light Sweet Crude Oil Futures Contract calendar spread prices were artificial on specified dates, the degree of artificiality, and whether defendants’ actions were a proximate cause of the artificiality.
- Co-led both the affirmative and rebuttal econometric analyses to examine NYMEX natural gas futures price behavior in In re Amaranth Advisors LLC.
- Developed rebuttal and affirmative econometric analyses to support multiple experts to analyze damages issues related to the misreporting of prices to publishers of natural gas price indices in In re Natural Gas Commodity Litigation.
- Consulted for a financial exchange on its market surveillance program.
PhD, Economics, Boston University
MA, Political Economy, Boston University
BA, Economics, Chongqing University
- Antitrust, Vol. 32, No. 2, Spring 2018, May 1, 2018
- Law360, October 3, 2017
- To Pool or Not to Pool: A Closer Look at the Use of Sub-Regressions in Antitrust Class CertificationJournal of Competition Law & Economics, September 15, 2017
- September 2017
- Journal of Antitrust Enforcement, January 10, 2017
- Antitrust Bulletin, July 2016
- cartelcapers, June 20, 2016
- Cartelcapers, March 24, 2016
- Law360 Competition Section, September 29, 2015
- Economics Committee Newsletter, American Bar Association Section of Antitrust Law, Spring 2015
- Journal of Financial Econometrics, February 2014
- April 1, 2012
- An Econometric Analysis of Recent Oil Price Movements: The Role of Political Events, Economic News, and Market FundamentalsJanuary 2012
- Local power of consistent tests for serial correlation against the nearly integrated, nearly white noise processEconomics Letters, April 2010
- Journal of the American Statistical Association, September 1, 2009
- Econometric Theory, June 2008
- A non-local perspective on the power properties of the Cusum and Cusum of Squares Tests for Structural ChangeJournal of Econometrics, January 2008
- A comparison of alternative asymptotic frameworks to analyse a structural change in a linear time trendThe Econometrics Journal, October 31, 2006
- Decomposing Predictability: A Multi-Resolution AnalysisLecture Series on Computer and Computational Sciences, April 2005
- Washington, DC, April 11–13, 2018