Aneel Keswani is a Professor of Investment Management and has been at Bayes for 20 years. He has been an adviser to the fund regulator in the UK, the Financial Conduct Authority (FCA) and the Bank of England. He is also the Director of the MSc in Investment Management at Bayes.
Andrew Clare is the Professor of Asset Management at Bayes Business School and the founding owner of AIME Consulting Ltd. He is the co-author of “The Trustee Guide to Investment” and has published extensively in both academic and practitioner journals on a wide range of economic and financial market issues. He delivers programmes about: monetary policy; the interface between macroeconomics and financial markets; asset management; corporate finance; and investment strategy. He serves as an independent NED for Legal and General Investment Management. Andrew is a Trustee and Chairman of the Investment Committee of the £3.5bn Magnox Electric Group Pension scheme and is an independent member of Quilter Plc’s Investment Committee. Prior to joining the School Andrew was a Senior Research Manager in the Monetary Analysis wing of the Bank of England which supported the work of the Monetary Policy Committee. Andrew also worked as the Financial Economist for Legal and General Investment Management.
Keith Cuthbertson is a Professor of Finance at Bayes Business School. Prior to joining Bayes, Keith has worked at H.M. Treasury, the Bank of England, the National Institute of Economic and Social Research and at Newcastle and Imperial College Business Schools. He has co-authored three finance text books the most recent being “Derivatives: Theory and Practice” (John Wiley, 2020). His published research has covered the term structure of interest rates, excess volatility in stock and bond markets and the testing of mutual fund performance and persistence in performance - taking account of false discoveries in statistical tests. His current work looks at the performance and risk-taking of male and female fund managers.
Ana-Maria Fuertes is a Professor of Finance and Econometrics at Bayes Business School. She holds a BSc and MSc in Industrial (Control) Engineering, and a PhD in Economics. Ana-Maria has served as Associate Editor for the Journal of the Royal Statistical Society (Series A – Statistics in Society), Journal of Economic Behaviour and Organization, and Computational Statistics and Data Analysis. She currently serves as Associate Editor for the International Journal of Forecasting, Journal of Futures Markets and the Global Commodities Applied Research Digest (GCARD) published by the J.P. Morgan Center for Commodities. Her research interests are empirical asset pricing with an emphasis on commodity markets, financial risk modelling and forecasting. She has contributed to practitioner journals such as Investment & Pensions Europe, Hedge Funds Review and policy-oriented journals such as Vox-CEPR and CEPS.
Xiao Han is a Lecturer in Finance at Bayes Business School. Xiao Han obtained a PhD in Finance from the University of Edinburgh. He has previously held visiting positions in institutions such as Wharton School and Shanghai University of Finance and Economics. His research focus on: 1) Subjective expectations of investors and asset pricing, 2) Financial institutions and demand system-based asset pricing, and 3) Machine Learning, Textual Analysis, Big Data, Fintech.
Ian Marsh is Professor of Finance at Bayes Business School, City, University of London. He has been at Bayes since 1998, during which time he has directed the suite of undergraduate finance degrees, the flagship MSc in Finance, and the Finance PhD program. Until recently, he was the Head of the Faculty of Finance. His research interests centre on the foreign exchange market and asset pricing, and he has published in leading finance journals including the Journal of Finance, Journal of Financial Economics and Journal of Financial and Quantitative Analysis. However, his research interests are broad and he has also written papers on the impact of gender in the market for financial advice, economic conditions in the inter-war period and economic productivity. Beside his time in academia, Ian has worked in the City of London as an international banker and financial market economist, for the IMF and at the Bank of England.
Mehrshad Motahari is a Lecturer in Finance at Bayes Business School. His research interests lie primarily in the area of empirical asset pricing looking at drivers of market mispricing from both rational and behavioural perspectives. He also actively works on the implications of machine learning (ML) and firm environmental, social, and corporate governance (ESG) performance for asset pricing. Mehrshad holds a PhD in Finance and an MSc in Accounting and Finance from Warwick Business School, the University of Warwick. Prior to joining Bayes Business School, he was a Research Associate in Finance at Judge Business School, the University of Cambridge, where he currently holds an Honorary Associate position. Insights drawn from Mehrshad's research have been used to devise trading strategies by various major asset managers in the City. He also actively engages in consultancy projects related to systematic equity strategies and machine learning applications in asset management.
Nick Motson holds a BSc from City University Business School, an MSc from London Business School and a PhD from the Business School. Following a 13 year career as a proprietary trader of interest rate derivatives in the City of London for various banks including First National Bank of Chicago, Industrial Bank of Japan and Wachovia Bank, Nick returned to the Business School in 2005 to pursue his doctoral studies. Nick's research interests include asset management, portfolio construction, smart beta, hedge funds, and structured products. In 2009 he was awarded the Sciens Capital Award for Best Academic Article, in The Journal of Alternative Investments for his paper Locking in the Profits or Putting It All on Black? An Empirical Investigation into the Risk-Taking Behaviour of Hedge Fund Managers. As well as teaching and researching at Bayes, Nick actively consults for numerous banks and hedge funds.
Dirk Nitzsche a Senior Lecturer at Bayes Business School. Dirk has published five textbooks in the area of quantitative finance and derivatives: Investment: Spot and Derivative Markets (2001), Financial Engineering: Derivatives and Risk Management (2001), Quantitative Financial Economics (2004), Investments (2008) and Derivatives: Theory and Practice (2019). He also published numerous articles in international journal including the Economic Journal, Journal of Empirical Finance and International Review of Financial Analysis. His recent research focuses on the performance of fund and other asset management companies applying sophisticated statistics such as order statistics, non parametric tests or the false discovery rate. Those techniques allow to address questions whether fund performance can be explained by skill or luck. Dirk has also addressed the question about persistence of performance extensively and I currently looking at gender differences.
Chuanping Sun is a lecturer in Finance at Bayes Business School. He obtained his PhD in Economics from Queen Mary University of London. He has previously held visiting positions in New York University and FGV Sao Paulo. His research interests focus on machine learning, empirical asset pricing, and econometrics. More specifically, his work investigates cross-sectional asset returns and formulates optimal portfolio strategies. He is also working on statistical inferences of Machine Learning models.
Stephen Thomas is a Professor of Finance at Bayes Business School. Steven has been the director of the Bear Sterns Global Alpha Macro hedge fund and has also been the director of a private client investment management company. He has been a Houblon-Norman fellow at the Bank of England and a visiting professor at Queen's University in Canada.
Natasa Todorovic is a senior lecturer in Investment Management at Bayes Business School. Natasa has been a director and admissions tutor of a number of MSc degrees from the Finance group at Bayes. Her research, which focuses on asset management, has been presented at numerous leading conferences. Her latest work re-visits the performance of US and UK mutual funds using new, augmented versions of the standard Fama-French-Carhart models, and examines the choice of benchmarks mutual funds make.
Junli Zhao works as a lecturer in Finance at Bayes Business School. His research mainly focuses on economics of information, intermediaries in financial markets, and human/machine interactions. He obtained his PhD degree from HEC Paris in 2021.