Ming Deng, PhD, is a quantitative analyst at LGT Bank. He holds a PhD from the University of Zurich and the Swiss Finance Institute, an MSc from the University of Zurich and ETH Zurich, and a bachelor's degree from Nankai University. His research interests focus on applying machine learning and using textual data to study the impact of public information on financial markets. His research work has been cited in various media outlets such as Bloomberg and NZZ.
The theories and models introduced by Robert Shiller and Didier Sornette are as applicable to the foreign exchange market as they are to the stock market.