ARA FinTech Research Series:
sponsored by Acer and Beyondbond
Demystify Stock Investing with Self-learning Algorithms – An Implementation for U.S. Markets
Ever since the 2008 financial market meltdown, FinTech has been the main drive to revolutionize the landscape of the financial industry. “Robo-advisors” that use machines to handle financial planning are becoming the future of money management. Will machines beat human insight in terms of investment? Do machines take into account human emotion, and how? Will self-learning algorithms become a self-fulfilling prophecy? Our stock-picking algorithm study will shed light on these questions and more.
FinTech, robo-advisor, machine-learning, deep-learning, algorithmic trading, robot-Journalism, human–computer interaction (HCI)
Dr. Ted Hong Bio
Dr. Hong has more than twenty years of research and market experience in the mortgages and securitization areas. He is currently the president of Beyondbond, a privately held New York-based company founded in 1999 that provides structuring, trading and risk management platforms for financial institutions. Prior to that, he was a director at the CMBS group of Nomura Securities, which was said to have “jump-started the national real estate market” in the 1990’s according to Fortune Magazine. Nomura’s CMBS group would later become Beyondbond’s business partner. Since 2012, Dr. Hong has dedicated his research and application development on financial big data pattern recognition in order to identify algorithmic investment strategies.
Dr. Hong has given numerous speeches to universities, regulators, and financial institutions throughout U.S. and Asia. He’s also a research faculty at the NYU Volatility Institute and a visiting professor at the Chinese Academy of Science (CAS). Beyondbond has supported the NYU VLab since 2008 and also formed a Joint Research Center RiskLab with CAS in 2011.
Dr. Hong received his Ph.D. in Economics from the University of California at San Diego. His specialized research topic was on non-stationary volatility modeling in the time series area. Dr. Hong has several research articles jointly published with Professor Robert Engle, the 2003 Nobel Laureate in Economics. His CMBS research, “An Options Approach to Commercial Mortgages and CMBS Evaluation and Risk Analysis”, has been repeatedly quoted and published.
洪博士於加州大學聖地牙哥分校取得經濟學博士，其論文指導教授羅伯恩格爾 Robert F. Engle 為2003年之諾貝爾經濟學領域得主。恩格爾教授被譽為美國最具商業影響力的財經大師，師生二人曾多次相偕亞洲巡迴演講並拜會各國財經首長。其研究論文「商業抵押貸款和不動產證券化之評估和風險分析」，在固定收益資產證券領域中長期被廣為引用。