Dr. Steve Y. Yang

Dr. Steve Y. Yang

Assistant Professor

School of Systems and Enterprises

Stevens Institute of Technology

Office: Babbio 536

Phone: (201) 216-3394 (w)

Email: STEVE.YANG@STEVENS.EDU

 

Research interests:

Market microstructure, algorithmic trading strategies, behavioral finance, trading behavior/mathematical modeling, system optimization and fraud detection, and agent based financial market simulation.

 


Teaching:

FE 570

Financial Market Mircrostructure and Trading Strategies

FE 610

Stochastic Calculus for Financial Engineers

FE 670

Algorithmic Trading Strategies


Publications:

Twitter financial community sentiment and its predictive relationship to stock market movement, Steve Y. Yang, Sheung Yin Kevin Mo, Anqi Liu. Quantitative Finance SPECIAL ISSUE ON BIG DATA ANALYTICS: ALGORITHMIC TRADING AND FINANCIAL TEXT MINING (Submitted)

 

Algorithmic Trading Behavior Identification Using Reward Learning Method, Steve Y. Yang, Qifeng Qiao, Peter A. Beling, and William T. Scherer. 2014 International Joint Conference on Neural Networks

 

Twitter Financial Community Modeling using Agent Based Simulation, Steve Y. Yang, Anqi Liu, and Sheung Yin Kevin Mo. 2014 IEEE Computational Intelligence in Financial Engineering and Economics, London, United Kingdom

 

An Empirical Study of the Financial Community Network on Twitter, Steve Y. Yang, Sheung Yin Kevin Mo, and Xiaodi Zhu. 2014 IEEE Computational Intelligence in Financial Engineering and Economics, London, United Kingdom

 

A Study of Dark Pool Trading Using Agent Based Modeling, Kevin Mo, Mark Paddrik, and Steve Y. Yang. 2013 IEEE Computational Intelligence in Financial Engineering and Economics, Singapore, Singapore

 

Balance Sheet Outliers Detection Using a Graph Similarity Algorithm, Steve Y. Yang, and Randy Cogill. 2013 IEEE Computational Intelligence in Financial Engineering and Economics, Singapore, Singapore

 

Behavior based Learning in Identifying High Frequency Trading Strategies, Steve Y. Yang, Mark Paddrik, Roy Hayes, Andrew Todd, A. Kirilenko, Peter Beling, and William Scherer. 2012 IEEE Computational Intelligence in Financial Engineering and Economics, New York City, USA

 

An Agent Based Model of the E-Mini S&P 500, Mark Paddrik, Roy Hayes, Andrew Todd, Steve Y. Yang, Peter Beling, and William Scherer; 2012 IEEE Computational Intelligence in Financial Engineering and Economics, New York City, USA

 

Agent Based Model of the E-MINI Future Market: Applied to Policy Decisions, Mark Paddrik, Roy Hayes, Andrew Todd, Steve Y. Yang, Peter Beling, and William Scherer; 2012 Winter Simulation Conference, Berlin, Germany

 

A Systems Approach to the Promotion and Implementation of Medical Translational Research at the University of Virginia, J. Ablowitz, Steve Y. Yang, et al. - 2008 IEEE Systems and Information Engineering Design Symposium

 

GPIRL Based Algorithmic Trading Behavior Learning, Steve Yang, Qifeng Qiao, Peter Beling, William Scherer and Andrei Kirilenko, Quantitative Finance (R2 Revision)

 

A behavior learning approach to identifying Algorithmic trading strategies, Steve Yang, Mark Paddrik, Roy Hayes, Andrew Todd, Steve Y. Yang, Peter Beling, and William Scherer

 

Work in Progress:

 

A System Complexity Measure for SWAP Market, Steve Yang, Esen Onur, John Casti, (Working paper)

 

Dark pool trading mechanism and its trade-offs, Steve Yang, Kevin Mo, Mark Paddric and Richard Haynes, (Working paper)

 

An agent-based approach to systemic risk contagion problem, Steve Yang, Kevin Mo, and Anqi Liu, (Working paper)

 

A graph mining approach to detecting financial disclosure outliers, Steve Yang, and Xiaodi Zhu, (Working paper)

 

Twitter Sentiment Propagation Modeling using Agent Based Simulation, Steve Yang, Kevin Mo, and Mark Paddrik, (Working paper)

 

Modeling of Social Contagent Networks to Financial Market Movement, Steve Yang, Kevin Mo, and Mark Paddrik, (Working paper)

 

Financial Footnotes Mining for Accounting Information Fraud Detection, Steve Yang, Stavros Tsarpolis and Kevin Mo(Working paper)

 

Structural Pattern Discovery using Graph Mining Algorithms, Steve Yang, and Stavros Tsarpalis (Working paper)

 

Trading Agent Optimization Using Inverse Reinforcement Learning, Steve Yang, Mark Paddrik, Kevin Mo (Working paper)

 

A Case Study of Trade Based Market Manipulation Fraud Detection, Steve Yang, Jeremy Cusimano (Working paper)

 

Trading Network Dynamics and its Influence on Traders’ Behavior, Steve Yang, Esen Onur (Working paper)

 


Presentations:

 

A critical and empirical examination of currently-used financial data collection processes and standards, Suzanne Morsfield, Steve Yang and Susan Yount, Initial Model & Pilot Study Results for SWIFT Institute Annual Conference 2014, London, UK

 

A graph mining approach to Big Financial Data problem in XBRL financial disclosures, Steve Yang, Invited speaker at 2014 XBRL International Conference, Orlando, FL, US

 

Emerging Complex Systems Behavior using a Bottom-up Approach in Finance, Steve Yang, KAIST Workshop at Stevens, U.S, June 2014

 

Twitter Financial Community Modeling using Agent Based Simulation, Steve Yang, IEEE CIFEr Conference 2014, London, UK

 

Emerging Behavior Pattern Identification and Prediction Using a Bottom-up Approach in Finance, Steve Yang and Peter Beling, FDIC, Washington DC, 2014

 

Elite Source Information Modeling for Financial Investment, Steve Yang, Northrop Grumman Information Systems’ 2014 TechExpo in McLean, VA, US

 

Emerging Behavior Pattern Identification Using Social Media Twitter Sentiment Analysis, Steve Yang, Accenture-AIB (Scottland) Workshop on Financial Analytics at Stevens Institute of Technology, U.S.

 

Financial Systemic Risk vs. Social Mood, Steve Yang, Accenture-Fannie Mae Workshop on Financial Analytics at Stevens Institute of Technology, U.S.

 

Systemic Risk Modeling using a Bottom-up Approach in Finance, Steve Yang, NSF CDDA Annual Conference 2014 at Stony Brook University, U.S. 2014

 

Balance sheet Based Outlier Detection, Steve Yang, IEEE Computational Intelligence Society Symposium Series, April, 2013

 

Balance sheet Based Outlier Detection, Steve Yang, IEEE Computational Intelligence Society Symposium Series, April, 2013

 

Model Financial Market Complexity, Steve Yang, Financial Engineering Seminar at Stevens Institute of Technology, Feb, 2013

 

Decoding Genes of Algorithmic Trading Strategies, Steve Yang, Division of Market Surveillance Seminar at Commodity Futures Trading Commission, July, 2012

 

Decoding Genes of Algorithmic Trading Strategies, Steve Yang, Office of Chief Economist at Commodity Futures Trading Commission, March, 2012

           

Behavior Based Learning in Identifying Algorithmic Trading Strategies, Steve Yang, Financial Engineering Seminar at Stevens Institute of Technology, December, 2011

 

Agent Based E-Mini S&P 500 Futures Market Simulation and Algorithmic Trading Strategies, Steve Yang, Mark Paddrik, Roy Hayes, Andrew Todd. Colloquium Presentation at University of Virginia, August, 2011

 

Behavior Based Learning in Identifying Algorithmic Trading Strategies, Steve Yang, Research Seminar at Commodity Futures Trading Commission, July, 2011

 

CME GLOBEX Trading System Incident and Economic Impact, Steve Yang, Commission Testimony/Hearing at Commodity Futures Trading Commission, February, 2011

 

Commodity and Futures Trading Data Standardization, Steve Yang, Technology Seminar at Commodity Futures Trading Commission, April, 2009

 

Achieving High Business Agility through Data Standardization, Steve Yang, Technical Fellow Seminar at Northrop Grumman Corporation, July, 2008

 


Funding:
PI

Methodology and Tools for Detecting Spoofing

Commodity Futures Trading Commission 2014-2015
PI

Market Elite Soured Data Modeling

Northrop Grumman Corporation 2014
CoPI

Mining Financial Text Disclosures for Fraud Detection

IGI Grant - ACT/SERC, Stevens 2014
CoPI

The Impact of High Frequency Trading on Institutional Investing

Investor Responsibility Research Center (IRRC) Institute 2013
CoPI

Financial Standards and Big Data

The Society for Worldwide Interbank Financial Telecommunication (SWIFT) 2013
PI

Limit Order Book Modeling/Visualization

Northrop Grumman Corporation 2013
PI

Trade Based Fraud Detection Analytics

Commodity and Futures Trading Commission, 2012

Education:

Ph.D. in Systems Engineering

Concentration: Financial Engineering

 School of Engineering & Applied Science, Charlottesville, VA, USA

University of Virginia

           

M.E. in System Engineering

Concentration: Engineering Management

School of Engineering & Applied Science Charlottesville, VA, USA

University of Virginia

 

M.S. Computer Science Application

Concentration: Software Engineering

Virginia Polytechnic Institute & State University, Blacksburg, VA, USA

Virginia Tech

 

B.S. Aerospace Engineering

Beijing Institute of Aeronautics & Astronautics, Beijing, China

 


Awards:

·         Best Applied Paper Award 2012, Berlin Winter Simulation Conference

·         Honorary Mention of the Best Student Paper Award, 2012, IEEE Computational Intelligence in Financial Engineering and Economics Conference, New York

·         Summer Fellowship 2010, University of Virginia

·         Scholarship 2009, Department of Systems Engineering, University of Virginia

·         Emerging Leader Award 2009, Northrop Grumman

·         Peak Performance Award 2005, Northrop Grumman

·         Timely Performance Award 2004, Northrop Grumman

 


Affiliations:

Institute of Electrical and Electronic Engineers (IEEE Computational Intelligence Society)

International Council of Systems Engineers (INCOSE)