Professor Maggie Chen
(she/her)
- Available for postgraduate supervision
Teams and roles for Maggie Chen
Personal Chair
Overview
I am a Professor of Financial Mathematics at Cardiff and belongs to Operational Research Group. In the academic community, I am known for my expertise in interdisciplinary approaches of financial modeling (e.g. Hawkes processes, network approaches) that tackles modern finance problems. My research provides a methodological foundation for social-technical issues in FinTech, financial market behaviour, and regulatory impacts. holds editorships for The Jounrnal of Futures Market, The European Journal of Finance (EJF), International Review of Economics and Finance, IMA Journal of Management Mathematics and Quantitative Finance.
I also hold adjunct/visiting professorship in various world-leading universities including Columbia, UCL etc. I co-lead the EPSRC UKFin+ Network for Financial Services (https://ukfin.network/). I have been PI/Co-Is for multiple Fintech projects funded by Wales Data Nation Acceleration/Turing Institute and Data Transformation Innovation Institute (Cardiff). I advise on Fintech and wider Finance/Economics problems for Cardiff-ONS (Office for National Statistics) strategic partnershi, Finance and Economics Section of Royal StatisticalSociety (RSS), and the Center for Research toward Advancing Financial Technologies (CRAFT https://www.stevens.edu/craft). I am one of the leads of the Fintech theme in the Data Transformation Innovative Institute at Cardiff. My research directly engages with diverse range of stakeholders (e.g., government, companies, regional Fintech hubs, charities, start-ups, educational groups, schools etc.) in the FinTech industry and benefits them with deployable solutions and products.
I am passionate about several fundamental problems in finance that share the nature of being complex sociol-technological problems and demand for interdiscipinary methodologies and deployable applications as well as solutions. The following provides some recent directions my research dives into:
- Fintech and applications
- Lending and payment method (e.g., psychometric credit scoring)
- ESG and applications (e.g., impact trading)
- Cryptocurrency (e.g., trading, behaviour patterns, market design)
- Financial inclusion and policy impact
- Collective AI for finance(e.g., collecitve informed smart decision making)
- Stochastic Processes and Financial Applications
- Hawkes Processes in Finance
- Market Microstructure and Ultra-High Frequency Trading
- Financial Modelling of Volatility, Jumps and Liquidity
Publication
2025
- Corcoran, P. et al. 2025. A spatial analysis of the use of Bitcoin as a medium of exchange. Financial Innovation 11 127. (10.1186/s40854-025-00871-z)
- Hainaut, D. , Chen, J. and Scalas, E. 2025. The rough Hawkes process. Communications in Statistics - Theory and Methods 54 (11), pp.3322-3349. (10.1080/03610926.2024.2389959)
- Han, B. et al. 2025. Can machine learning models better volatility forecasting? A combined method. European Journal of Finance (10.1080/1351847X.2025.2553053)
- Han, Q. et al., 2025. Does asynchronous market update matter? Re-examining the price discovery of stock index and futures in China. Emerging Markets Review 67 101307. (10.1016/j.ememar.2025.101307)
- Khashanah, K. et al., 2025. A new method for jump detection: Analysis of jumps in S&P 500 financial index. Journal of the Royal Statistical Society: Series C 74 (5), pp.1321-1339. (10.1093/jrsssc/qlaf025)
- Kim, D. et al., 2025. Bitcoin as a legal tender. Asia-Pacific Financial Markets 32 , pp.1175-1188. (10.1007/s10690-024-09499-y)
- Riedl, C. et al., 2025. The potential and challenges of AI for collective intelligence. Collective Intelligence 4 1. (10.1177/26339137241308821)
2024
- Bullock, S. et al., 2024. Artificial intelligence for collective intelligence: A national-scale research strategy. Knowledge Engineering Review 39 e10. (10.1017/S0269888924000110)
- Wu, F. et al. 2024. Analysing network dynamics: The contagion effects of SVB's collapse on the US tech industry. Journal of Risk and Financial Management 17 (10) 427. (10.3390/jrfm17100427)
- Zhang, J. et al., 2024. Cryptocurrency price bubble detection using log-periodic power law model and wavelet analysis. IEEE Transactions on Engineering Management 71 , pp.11796-1812. (10.1109/TEM.2024.3427647)
2023
- Chen, J. et al. 2023. Does Smile help detect the UK’s price leadership change after MiFID?. International Review of Economics and Finance 84 , pp.765-769. (10.1016/j.iref.2022.11.033)
- Chen, J. et al. 2023. A fractional Hawkes process II: further characterization of the process. Physica A 615 128596. (10.1016/j.physa.2023.128596)
- Liu, A. et al. 2023. Trading patterns in the Bitcoin market. European Journal of Finance (10.1080/1351847X.2023.2241883)
- Zhang, J. , Wen, J. and Chen, J. 2023. Modelling market fluctuations under investor sentiment with a Hawkes-contact process. The European Journal of Finance 29 (1), pp.17-32. (10.1080/1351847X.2021.1957699)
2022
- Chen, J. et al. 2022. Does the world smile together? A network analysis of global index option implied volatilities. Journal of International Financial Markets, Institutions and Money 77 101497. (10.1016/j.intfin.2021.101497)
- Chen, J. et al. 2022. Hawkes processes in finance: Market structure and impact. European Journal of Finance 28 (7), pp.621-626. (10.1080/1351847x.2022.2060755)
- Han, Q. et al., 2022. Reexamining the impact of closing call auction on market quality: A natural experiment from the Shanghai stock exchange. Pacific-Basin Finance Journal 74 101821. (10.1016/j.pacfin.2022.101821)
2021
- Chen, J. 2021. A fractional Hawkes process. Presented at: Nonlocal and Fractional Operators in honour of Prof. Renato Spigler Rome, Italy 12-13 April 2019. Published in: Garrappa, R. , Mainardi, F. and Beghin, L. eds. Nonlocal and fractional operators: Theory and applications to physics, probability and numerical analysis. SEMA SIMAI Springer Series Springer. , pp.121-131. (10.1007/978-3-030-69236-0_7)
- Chen, J. and Liu, A. 2021. Information transition in trading and its effect on market efficiency: an entropy approach. Presented at: 1st International Forum on Financial Mathematics and FinTech Beijing, China 29 June - 2 July 2019. Proceeding of the First International Academic Forum on Financial Mathematics and Financial Technology. Financial Mathematics and Fintech Springer. , pp.59-77.
- Hawkes, A. and Chen, J. 2021. A personal history of Hawkes process. Proceedings of the Institute of Statistical Mathematics (統計数理) 69 (2), pp.123-143.
2020
- Calice, G. , Chen, J. and Williams, J. 2020. Forecasting options prices using discrete time volatility models estimated at mixed timescales. Journal of Derivatives 27 (3), pp.45-74. (10.3905/jod.2019.1.094)
- Chen, J. and McMillan, D. 2020. Stock returns, illiquidity and feedback trading. Review of Accounting and Finance 19 (2), pp.135-145. (10.1108/RAF-02-2017-0024)
- Liu, A. et al. 2020. The flow of information in trading: an entropy approach to market regimes. Entropy 22 (9) 1064. (10.3390/e22091064)
2019
- Chen, J. , Adams, M. and Upreti, V. 2019. Product-market strategy and underwriting performance in the United Kingdom’s (UK) property-casualty insurance market. European Journal of Finance 25 (11), pp.1012-1031. (10.1080/1351847X.2019.1578676)
- Chen, J. et al. 2019. The impact of multilateral trading facilities on price discovery: Further evidence from the European markets. Financial Markets, Institutions and Instruments 28 (4), pp.321-343. (10.1111/fmii.12121)
2018
- Buckle, M. et al., 2018. Do ETFs lead the price moves? Evidence from the major US markets. International Review of Financial Analysis 58 , pp.91-103. (10.1016/j.irfa.2017.12.005)
- Buckle, M. et al., 2018. The impact of multilateral trading facilities on price discovery. Financial Markets, Institutions and Instruments 27 (4), pp.145-165. (10.1111/fmii.12096)
- Chen, J. et al. 2018. Performance of information criteria for selection of Hawkes process models of financial data. Quantitative Finance 18 (2), pp.225-235. (10.1080/14697688.2017.1403140)
- Chen, J. et al. 2018. Does feedback trading drive return of cross-listed shares?. Journal of International Financial Markets, Institutions and Money 53 , pp.179-199. (10.1016/j.intfin.2017.09.018)
- Chen, J. , McMillan, D. G. and Buckle, M. 2018. Information transmission across European equity markets during crisis periods. Manchester School 86 (6), pp.770-788. (10.1111/manc.12226)
- Khashanah, K. , Chen, J. and Hawkes, A. 2018. A slightly depressing jump model: intraday volatility pattern simulation. Quantitative Finance 18 (2), pp.213-224. (10.1080/14697688.2017.1403139)
- Tong, C. , Chen, J. and Buckle, M. 2018. A network visualisation approach and global stock market integration. International Journal of Finance and Economics 23 , pp.296-314.
- Yang, S. Y. et al., 2018. Applications of multi-variate Hawkes process to joint modelling of sentiment and market return events. Quantitative Finance 18 (2), pp.295-310. (10.1080/14697688.2017.1403156)
2017
- Chen, J. et al. 2017. Negative real interest rates. European Journal of Finance 23 (15), pp.1447-1467. (10.1080/1351847X.2016.1158729)
- Chen, M. et al. 2017. Editors’ foreword: special issue of Quantitative Finance on ‘Hawkes processes in finance’. Quantitative Finance 18 (2), pp.191-192. (10.1080/14697688.2018.1404804)
2014
- Buckle, M. , Chen, J. and Williams, J. 2014. How predictable are equity covariance matrices? Evidence from high-frequency data for four markets. Journal of Forecasting 33 (7), pp.542-557. (10.1002/for.2310)
- Buckle, M. , Chen, J. and Williams, J. M. 2014. Realised higher moments: theory and practice. The European Journal of Finance 22 (13), pp.1272-1291. (10.1080/1351847X.2014.885456)
2013
- Calice, G. , Chen, J. and Williams, J. 2013. Liquidity spillovers in sovereign bond and CDS markets: An analysis of the Eurozone sovereign debt crisis. Journal of Economic Behavior & Organization 85 , pp.122-143. (10.1016/j.jebo.2011.10.013)
- Calice, G. , Chen, J. and Williams, J. M. 2013. Are there benefits to being naked? The returns and diversification impact of capital structure arbitrage. The European Journal of Finance 19 (9), pp.815-840. (10.1080/1351847X.2011.637115)
2011
- Chen, J. , Buckland, R. and Williams, J. 2011. Regulatory changes, market integration and spillover effects in the Chinese A, B and Hong Kong equity markets. Pacific-Basin Finance Journal 19 (4), pp.351-373. (10.1016/j.pacfin.2011.01.002)
Articles
- Buckle, M. et al., 2018. Do ETFs lead the price moves? Evidence from the major US markets. International Review of Financial Analysis 58 , pp.91-103. (10.1016/j.irfa.2017.12.005)
- Buckle, M. et al., 2018. The impact of multilateral trading facilities on price discovery. Financial Markets, Institutions and Instruments 27 (4), pp.145-165. (10.1111/fmii.12096)
- Buckle, M. , Chen, J. and Williams, J. 2014. How predictable are equity covariance matrices? Evidence from high-frequency data for four markets. Journal of Forecasting 33 (7), pp.542-557. (10.1002/for.2310)
- Buckle, M. , Chen, J. and Williams, J. M. 2014. Realised higher moments: theory and practice. The European Journal of Finance 22 (13), pp.1272-1291. (10.1080/1351847X.2014.885456)
- Bullock, S. et al., 2024. Artificial intelligence for collective intelligence: A national-scale research strategy. Knowledge Engineering Review 39 e10. (10.1017/S0269888924000110)
- Calice, G. , Chen, J. and Williams, J. 2013. Liquidity spillovers in sovereign bond and CDS markets: An analysis of the Eurozone sovereign debt crisis. Journal of Economic Behavior & Organization 85 , pp.122-143. (10.1016/j.jebo.2011.10.013)
- Calice, G. , Chen, J. and Williams, J. M. 2013. Are there benefits to being naked? The returns and diversification impact of capital structure arbitrage. The European Journal of Finance 19 (9), pp.815-840. (10.1080/1351847X.2011.637115)
- Calice, G. , Chen, J. and Williams, J. 2020. Forecasting options prices using discrete time volatility models estimated at mixed timescales. Journal of Derivatives 27 (3), pp.45-74. (10.3905/jod.2019.1.094)
- Chen, J. et al. 2018. Performance of information criteria for selection of Hawkes process models of financial data. Quantitative Finance 18 (2), pp.225-235. (10.1080/14697688.2017.1403140)
- Chen, J. , Adams, M. and Upreti, V. 2019. Product-market strategy and underwriting performance in the United Kingdom’s (UK) property-casualty insurance market. European Journal of Finance 25 (11), pp.1012-1031. (10.1080/1351847X.2019.1578676)
- Chen, J. , Buckland, R. and Williams, J. 2011. Regulatory changes, market integration and spillover effects in the Chinese A, B and Hong Kong equity markets. Pacific-Basin Finance Journal 19 (4), pp.351-373. (10.1016/j.pacfin.2011.01.002)
- Chen, J. et al. 2019. The impact of multilateral trading facilities on price discovery: Further evidence from the European markets. Financial Markets, Institutions and Instruments 28 (4), pp.321-343. (10.1111/fmii.12121)
- Chen, J. et al. 2018. Does feedback trading drive return of cross-listed shares?. Journal of International Financial Markets, Institutions and Money 53 , pp.179-199. (10.1016/j.intfin.2017.09.018)
- Chen, J. et al. 2023. Does Smile help detect the UK’s price leadership change after MiFID?. International Review of Economics and Finance 84 , pp.765-769. (10.1016/j.iref.2022.11.033)
- Chen, J. et al. 2022. Does the world smile together? A network analysis of global index option implied volatilities. Journal of International Financial Markets, Institutions and Money 77 101497. (10.1016/j.intfin.2021.101497)
- Chen, J. et al. 2017. Negative real interest rates. European Journal of Finance 23 (15), pp.1447-1467. (10.1080/1351847X.2016.1158729)
- Chen, J. and McMillan, D. 2020. Stock returns, illiquidity and feedback trading. Review of Accounting and Finance 19 (2), pp.135-145. (10.1108/RAF-02-2017-0024)
- Chen, J. , McMillan, D. G. and Buckle, M. 2018. Information transmission across European equity markets during crisis periods. Manchester School 86 (6), pp.770-788. (10.1111/manc.12226)
- Chen, J. et al. 2023. A fractional Hawkes process II: further characterization of the process. Physica A 615 128596. (10.1016/j.physa.2023.128596)
- Chen, J. et al. 2022. Hawkes processes in finance: Market structure and impact. European Journal of Finance 28 (7), pp.621-626. (10.1080/1351847x.2022.2060755)
- Chen, M. et al. 2017. Editors’ foreword: special issue of Quantitative Finance on ‘Hawkes processes in finance’. Quantitative Finance 18 (2), pp.191-192. (10.1080/14697688.2018.1404804)
- Corcoran, P. et al. 2025. A spatial analysis of the use of Bitcoin as a medium of exchange. Financial Innovation 11 127. (10.1186/s40854-025-00871-z)
- Hainaut, D. , Chen, J. and Scalas, E. 2025. The rough Hawkes process. Communications in Statistics - Theory and Methods 54 (11), pp.3322-3349. (10.1080/03610926.2024.2389959)
- Han, B. et al. 2025. Can machine learning models better volatility forecasting? A combined method. European Journal of Finance (10.1080/1351847X.2025.2553053)
- Han, Q. et al., 2025. Does asynchronous market update matter? Re-examining the price discovery of stock index and futures in China. Emerging Markets Review 67 101307. (10.1016/j.ememar.2025.101307)
- Han, Q. et al., 2022. Reexamining the impact of closing call auction on market quality: A natural experiment from the Shanghai stock exchange. Pacific-Basin Finance Journal 74 101821. (10.1016/j.pacfin.2022.101821)
- Hawkes, A. and Chen, J. 2021. A personal history of Hawkes process. Proceedings of the Institute of Statistical Mathematics (統計数理) 69 (2), pp.123-143.
- Khashanah, K. et al., 2025. A new method for jump detection: Analysis of jumps in S&P 500 financial index. Journal of the Royal Statistical Society: Series C 74 (5), pp.1321-1339. (10.1093/jrsssc/qlaf025)
- Khashanah, K. , Chen, J. and Hawkes, A. 2018. A slightly depressing jump model: intraday volatility pattern simulation. Quantitative Finance 18 (2), pp.213-224. (10.1080/14697688.2017.1403139)
- Kim, D. et al., 2025. Bitcoin as a legal tender. Asia-Pacific Financial Markets 32 , pp.1175-1188. (10.1007/s10690-024-09499-y)
- Liu, A. et al. 2020. The flow of information in trading: an entropy approach to market regimes. Entropy 22 (9) 1064. (10.3390/e22091064)
- Liu, A. et al. 2023. Trading patterns in the Bitcoin market. European Journal of Finance (10.1080/1351847X.2023.2241883)
- Riedl, C. et al., 2025. The potential and challenges of AI for collective intelligence. Collective Intelligence 4 1. (10.1177/26339137241308821)
- Tong, C. , Chen, J. and Buckle, M. 2018. A network visualisation approach and global stock market integration. International Journal of Finance and Economics 23 , pp.296-314.
- Wu, F. et al. 2024. Analysing network dynamics: The contagion effects of SVB's collapse on the US tech industry. Journal of Risk and Financial Management 17 (10) 427. (10.3390/jrfm17100427)
- Yang, S. Y. et al., 2018. Applications of multi-variate Hawkes process to joint modelling of sentiment and market return events. Quantitative Finance 18 (2), pp.295-310. (10.1080/14697688.2017.1403156)
- Zhang, J. et al., 2024. Cryptocurrency price bubble detection using log-periodic power law model and wavelet analysis. IEEE Transactions on Engineering Management 71 , pp.11796-1812. (10.1109/TEM.2024.3427647)
- Zhang, J. , Wen, J. and Chen, J. 2023. Modelling market fluctuations under investor sentiment with a Hawkes-contact process. The European Journal of Finance 29 (1), pp.17-32. (10.1080/1351847X.2021.1957699)
Conferences
- Chen, J. 2021. A fractional Hawkes process. Presented at: Nonlocal and Fractional Operators in honour of Prof. Renato Spigler Rome, Italy 12-13 April 2019. Published in: Garrappa, R. , Mainardi, F. and Beghin, L. eds. Nonlocal and fractional operators: Theory and applications to physics, probability and numerical analysis. SEMA SIMAI Springer Series Springer. , pp.121-131. (10.1007/978-3-030-69236-0_7)
- Chen, J. and Liu, A. 2021. Information transition in trading and its effect on market efficiency: an entropy approach. Presented at: 1st International Forum on Financial Mathematics and FinTech Beijing, China 29 June - 2 July 2019. Proceeding of the First International Academic Forum on Financial Mathematics and Financial Technology. Financial Mathematics and Fintech Springer. , pp.59-77.
Research
Maggie's main research focus is on liquidity provision, information dynamics and their relation to policy changes in financial markets. To date, her research agenda has focused on modelling the effect of various liquidity measures on trading decisions in different segments of financial markets in both developed countries (e.g., the UK) and emerging economies (e.g., China). Recently, this research has mainly focused on applying Hawkes processes to model jumps in financial markets. The overarching goal of the research agenda has been to obtain more robust and powerful empirically derived measures of liquidity utilizing market microstructure theories drawn from the academic finance literature. She anticipates that this area of research activity could help investors, analysts, regulators and others to better assess information on market liquidity, and so more effectively predict future prices and trades. The applications of Hawkes types of models can also be extended to users in other industries such as insurance, into which industry Maggie has invested time and effort to form good understanding.
Selected Conference Talks
- The 52nd Gregynog Statistical Conference. Gregynog. 04/2016 (Organizer)
- Emerging Risk Modelling Conference 2015. London UK. 10/2015 (Industry Conference)
- The 51st Gregynog Statistical Conference. Gregynog. 04/2015 (Organizer)
- St. John's University School of Risk Management Conference (jointly with the International Insurance Society). New York. 10/2014
- Catastrophic Risk Modelling Conference 2013. Cambridge UK. 09/2013 2015 (Industry Conference)
- Welsh Universities Accounting and Finance Colloquium 2013, Gregynog, UK. 05/2013(also the Colloquium Coordinator)
- BAFA South Region Conference 2012, Aberystwyth, UK. 08/2012
- A Workshop on Ultra-high Frequency Econometrics, Market Liquidity and Microstructure. Isle of Skye, Scotland. 06/2012. (Acted as the co-chair)
- Welsh Universities Accounting and Finance Colloquium 2012, Gregynog, UK. 05/2012 (also the Colloquium Organizer)
- The 5th International Conference MAF 2012 (Mathematical and Statistical Methods for Actuarial Sciences and Finance). Venice, Italy. 04/ 2012
- OECD Banking Law Symposium 2011. Paris, France.10/2011(Invited Panel Discussant)
- Conference on Financial Sector Performance & Risk (Post-Crisis). Bangor. 06/201
- Asian Finance Association Annual Meeting (AsianFA2011), Macau. 07/2011
- HUKU 2011 Conference. Copenhagen, Denmark. 05/2011
- International Conference on Financial Markets, Shanghai, China, 07/2010
- The 27th Spring Conference of the French Finance Association, Saint-Malo, France, 04/2010
- Finance and Corporate Governance Conference (FGCG), Melbourne, Australia, 04/2010
Seminar Series
- School of Management, University of Bath. 02/2016 (Scheduled)
- School of Mathematics, Cardiff University. 11/2015
- Plymouth Business School, Plymouth University. 11/2015
- Commodity Futures Trading Committee (CFTC), The Federal Reserve (Feds), International Monetary Fund (IMF) & Office of Finance Research (OFR) special seminar. Washington DC.10/2015
- Department of Statistics, University College London. 04/2015
- Department of Informatics, King's College London. 03/2015
- Department of Management, King's College London. 03/2015
- Cardiff Business School, Cardiff University. 03/2015
- Steven's Institute Research Seminar Series (New Jersey). 01/2015
- Steven's Institute Research Seminar Series (New Jersey). 10/2014
- Swansea University Texas Strategic Partnership & Research Showcase (Houston, College Station & Austin). 10/2014
- Credit Suisse Seminar Series. Credit Suisse (New York). 10/2014
- Institution of Insurance, Risk Management & Actuarial Science, St. John's University (New York). 10/2014
- Credit Suisse Seminar Series. Credit Suisse (London). 09/2013
- Department of Economics, College of Business, Economics and Law, Swansea University. 12/2012
- School of Business and Economics, Loughborough University. 03/2012
- Business School, Leeds University. 11/2011
- School of Management, University of Bath. 11/2011
- School of Business and Economics, Swansea University. 11/2011
- Cardiff Business School, Cardiff University. 10/2011
- School of Economics, Finance and Management, University of Bristol. 10/2011
Teaching
Biography
Dr Jing (Maggie) Chen holds BSc in Computer Science from the Lanzhou Jiaotong University, China, MSc in Finance & Investment Management and PhD in Finance from the University of Aberdeen, UK (2011).
Prior to coming to the UK, Dr Chen worked at China Telecom and Dell (China) ltd. She started her business career as a computer software engineer, specialising in programming and system design before moving into company management and subsequently, pursuing an academic career in finance and investment. From September 2010 to August 2015, Dr Chen has been a lecturer and senior lecturer in the School of Management at Swansea University and senior lecturer in financial mathematics in the School of Mathematics at Cardiff University afterwards. During the 2014/2015 academic year, Maggie holds visiting/adjunct professorship in the Statistics Departments in both the Columbia University (New York City) and University College London.
Maggie's main research focus is on liquidity provision, information dynamics and their relation to policy changes in financial markets. To date, her research agenda has focused on modelling the effect of various liquidity measures on trading decisions in different segments of financial markets in both developed countries (e.g., the UK) and emerging economies (e.g., China). Recently, this research has mainly focused on applying Hawkes processes to model jumps in financial markets. The overarching goal of the research agenda has been to obtain more robust and powerful empirically derived measures of liquidity utilising market microstructure theories drawn from the academic finance literature. She anticipates that this area of research activity could help investors, analysts, regulators and others to better assess information on market liquidity, and so more effectively predict future prices and trades. The applications of Hawkes types of models can also be extended to users in other industries such as insurance, into which industry Maggie has invested time and effort to form good understanding.
Dr Chen has built-up an international research profile by publishing her work in leading academic finance journals. Her work has appeared in esteemed international scholarly journals including the Pacific Basin Finance Journal, European Journal of Finance, Journal of Economics Behaviour and Organisation and Journal of Forecasting. Additionally, her study on the link between CDSs and the current Eurozone sovereign debt crisis has been cited in the House of Lords and the Organisation for Economic Cooperation and Development (OECD). Her research was reported in the Financial Times in its edition of 14 November 2011. - See more at here.
Most recently, her research on Jump detection has attracted wide interest from the U.S. regulators and practitioners from the industry. This work is presented in the Commodity Futures Trading Commission (CFTC), the Office of Financial Research (OFR) and International Monetary Fund (IMF). Other on-going projects Maggie collaborates with CFTC will potentially build up policy impact in the area of High Frequency Trading.