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Centre for Digital Finance (CDF)

Background

The rapid pace of technological innovation over the last two decades has changed the way we do business and finance. The Centre for Digital Finance (CDF) brings together researchers to investigate this new electronic world. This includes research in electronic financial markets and banking, which are by far the largest and most important electronic marketplaces in the world today. It also includes the business and financial aspects of technology research.

Our Vision: The Centre for Digital Finance is to become a leading hub for innovative, collaborative and multidisciplinary research that transforms the existing understanding of challenges of technological innovations in finance and provides solutions for contemporary business problems.

The Centre was established in 2014 and has developed a track record of regular publication in international journals and successful research grant applications. In addition, group members regularly disseminate their research via seminars, workshops and international conferences. We actively seek joint activities with other international research centres and institutions.

Our Mission:

The CDF mission is in line with the Southampton University core principles:

Collegiality
One team working, planning and delivering
together, toward our shared vision. We believe that the best results can be achieved via collaboration, transparency and trust. We are committed to treat each other, our external partners, collaborators and other stakeholders with integrity and respect.

Quality
Our research is ambitious, original and relevant. We believe that our multidisciplinary research in digital finance, blockchain, and cryptocurrencies can make a difference to communities, advance existing theories, and inform policy-makers and financial regulators.

Internationalization
We are proud of our research work and we are committed to disseminate the results via seminars, workshops, international conferences, forums, and in the media. We are keen to organize international research events, build linkages with other institutions and work within international research teams.

Sustainability
We believe that our research in digital finance benefits society as a whole and our actions lead to financial, social and environmental sustainability.  
We are keen to explore alternative funding sources to support CDF activities, manage costs and enhance productivity.

Objectives:

  • To explore the opportunities associated with the rapid growth of technological innovation for the wider economy and society as a whole.
  • To contribute to debates about current issues in digital finance using a range of multidisciplinary research.
  • To inform stakeholders, such as financial institutions, corporations and government about the advances in digital finance research.
  • To explore novel blockchain-based applications across multiple domains.

The CDF research is centred around key themes:

International and empirical finance: interconnectedness, contagion and safe haven; cryptocurrency as a financial asset; asset price bubble; portfolio construction and diversification benefits; efficiency/inefficiency; herding behavior; media attention and effect of announcements; price dynamics; price volatility; price discovery; market risk.

Multidisciplinary Research, Social and Behavioural Aspects: behavioural finance and economics; cybercrime; social impacts, potential other uses for blockchain; fintech; environmental issues in cryptocurrencies; legal issues; financial regulation; future for digital payments; taxation; ethical issues.

Corporate Finance: crowdfunding; initial coin offering (ICO); fintech startups; the impact of digitalization on corporate governance issues, agency problem and transparency; new investment opportunities created by blockchain; impact of digitalization on traditional financial institutions.

Computational Finance: machine learning and AI models; factor models; forecasting; text-based sentiment analysis; agent-based modelling and simulation; game theory; complex adaptive systems; prediction markets; insurance; algorithmic trading; high frequency trading; market microstructure; financial networks; dark pools; decentralised finance.

Selected Recent Publications

Akyildirim, E., Corbet, S., Sensoy, A., Yarovaya, L. (2020). The Impact of Blockchain Related Name Changes on Corporate Performance. Journal of Corporate Finance. (In press).

Ibikunle, G., McGroarty, F., & Rzayev, K. (2020). More heat than light: investor attention and bitcoin price discovery. International Review of Financial Analysis, 69, [101459].

Corbet, S., Larkin, C., Lucey, B., Meegan, A., Yarovaya, L. (2020). Cryptocurrency Reaction to FOMC Announcements: Evidence of Heterogeneity Based on Blockchain Stack Position. Journal of Financial Stability, 46. https://doi.org/10.1016/j.jfs.2019.100706

Goodell, J. W., McGee, R., & McGroarty, F. (2020). Election uncertainty, economic policy uncertainty and financial market uncertainty: A prediction-market analysis. Journal of Banking & Finance, 110. https://doi.org/10.1016/j.jbankfin.2019.105684

Kalyvas, A., Papakyriakou, P., Sakkas, A., Urquhart, A. (2020). What drives Bitcoin’s price crash risk? Economics Letters, 191. https://doi.org/10.1016/j.econlet.2019.108777

Aloui, C., Hamida, H., Yarovaya, L. (2020). Are Islamic Gold-backed cryptocurrencies different? Finance Research Letters. https://doi.org/10.1016/j.frl.2020.101615

Tzouvanas, p., Kizys, R., Tsend-Ayush, B. (2020). Momentum trading in cryptocurrencies: Short-term returns and diversification benefits. Economics Letters, 191. https://doi.org/10.1016/j.econlet.2019.108728

Corbet, S., Larkin, C., Lucey, B., Meegan, A., Yarovaya, L. (2020). The impact of macroeconomic news on Bitcoin returns. The European Journal of Finance. https://doi.org/10.1080/1351847X.2020.1737168

Akyildirim, E., Corbet, S., Lucey, B, Sensoy, A., Yarovaya, L. (2020). The relationship between implied volatility and cryptocurrency returns. Finance Research Letters, 33. https://doi.org/10.1016/j.frl.2019.06.010

Corbet, S., Lucey, B., Urquhart, A., Yarovaya L. (2019). Cryptocurrencies as a financial asset: A systematic analysis. International Review of Financial Analysis, 62, 182-199. https://doi.org/10.1016/j.irfa.2018.09.003

McGroarty, F., Booth, A., Gerding, E., & Chinthalapati, V. L. R. (2018). High frequency trading strategies, market fragility and price spikes: an agent based model perspective. Annals of Operations Research.

Nunes, M., Gerding, E., McGroarty, F., & Niranjan, M. (2018). A comparison of multitask and single task learning with artificial neural networks for yield curve forecasting. Expert Systems with Applications.

Restocchi, V., McGroarty, F., Gerding, E., & Johnson, J. E. V. (2018). It takes all sorts: a heterogeneous agent explanation for prediction market mispricing. European Journal of Operational Research, 270(2), 556-569.

Ma, T., & McGroarty, F. (2017). Social machines: how recent technological advances have aided financialisation. Journal of Information Technology, 32(3), 234–250.

More papers can be found on our members’ pages.

Cryptocurrency Research Conference 2020

The Centre for Digital Finance, University of Southampton and the ICMA Centre organised the 3rd Cryptocurrency Research Conference 2020, on 14-15 September 2020 in Microsoft Teams.

This event brought together an international group of academics conducting research in finance and related disciplines, as well as practitioners and policy makers to generate debates on current issues of cryptocurrencies and digital finance. This conference provides a forum for presenting new ideas, and discussing the future direction of cryptocurrency research.

This event is the third edition of this conference, and last year CRC 2019 (15-16 June 2019, University of Southampton) welcomed 75 delegates from 42 institutions from Australia, USA, Japan, India, China, EU and UK. Please check website to see last year’s programme. This is the largest, niche conference in cryptocurrency and Fintech area, and we look forward to welcome you in our community of digital finance scholars.

 

Seminar Series 2020-2021, 1st Semester

DateSpeakerTitle PresentationRoomTimeWebsite
14/10/2020 Dr Kornelia Fabisik (Frankfurt, Germany) “Why Do U.S. CEOs Pledge Their Own Company's Stock?” Online event 13:00 - 15:00 Dr Kornelia Fabisik website
21/10/2020 Dr Orkun Saka (U of Sussex) TBA Online event 13:00 - 15:00 Dr Orkun Saka website
28/10/2020 Prof Matti Kelloharju (U of Aalto, Finland) TBA Online event 13:00 - 15:00 Prof Matti Kelloharju profile
04/11/2020 Dr Renatas Kizys (U of Soton) TBA Online event 13:00 - 15:00 Dr Renatas Kizys staff profile
11/11/2020 Dr Ralph De Haas (EBRD) TBA Online event 13:00 - 15:00 Dr Ralph De Haas profile
25/11/2020 Prof Anastasiya Shamshur (U of Kent) TBA Online event 13:00 - 15:00 Prof Anastasiya Shamshur profile
02/12/2020  Prof George Panos (U of Glasgow) ‘Financial literacy and attitudes to cryptocurrencies’. Online event  13:00 - 15:00 Prof George Panos website
09/12/2020 De Emmanuil Platanakis (U of Bath) TBA Online event 13:00 - 15:00 De Emmanuil Platanakis website
           

Seminar Series 2019/2020 2nd Semester

DateSpeakerTitle PresentationWebsite
12/02/2020 Dr Paraskevi Katsiampa (U of Sheffield) “Cryptocurrency market activity during extremely volatile periods: An analysis of the return-volume relation based on extreme value theory” Dr Paraskevi Katsiampa profile
  Dr Ahmed Elsayed (U of Durham) “Causality and Dynamic Spillovers among Cryptocurrencies and Currency Markets” Dr Ahmed Elsayed profile
  Prof Sushanta Mallick (Queen Mary, U of London)  “Inclusive Banking, Financial Regulation and Bank Performance: Cross-Country Evidence” Prof Sushanta Mallick profile
  Dr Marta Degl’Innocenti (U of Soton) “Development Banks and the Syndicate Structure: Evidence From a World Sample” Dr Marta Degl’Innocenti profile

Seminar Series 2019/2020 1st Semester

DateSpeakerTitle PresentationWebsite
09/10/2019 Dr Song Wei (SBS) “Recession Managers and Mutual Fund Performance” Dr Song Wei website
  Dr Hossain Jahanshahloo (U of Cardiff)  ‘Economist Herding and Accuracy in Macroeconomic News Forecasts’ Dr Hossain Jahanshahloo  profile
  Dr Daniela Fabbri (Cass Business School, City U) ‘Asset substitution and relationship lending Dr Daniela Fabbri profile
  Dr Louis Nguyen (King’s College, U of London) “Same-sex marriage laws and lending to same-sex couples.” Dr Louis Nguyen profile

Seminar Series 2018/2019 2nd Semester

DateSpeakerTitle presentationWebsite
20/02/2019 Dr Larisa Yarovaya (SBS) "The Volatility Generating Effects of Macroeconomic News on Cryptocurrency Returns" Dr Larisa Yarovaya profile
  Dr Evangelos Benos (Bank of England)) "Centralized trading, transparency and interest rate swap market liquidity: evidence from the implementation of the Dodd-Frank Act". Dr Evangelos Benos profile
  Dr Dimitrios Chronopoulos (St Andrews) Taxation and financial intermediation evidence from a quasi-natural experiment Dr Dimitrios Chronopoulos profile
15/05/2019 Prof Claudia Girardone (Essex) “Financial fragmentation and SMEs access to finance”. Prof Claudia Girardone profile

Seminar Series 2018/2019 1st Semester

DateSpeakerTitle presentationWebsite
17/10/2018 Dr Lora Dimitrova

“Capital Gains Tax and Innovation”

Dr Lora Dimitrova profile
31/10/2010 Dr Thanos Verousis “Option implied information and stock herding” Dr Thanos Verousis profile
14/11/2018 Dr Leone Leonida “Is monotonicity of the investment-cash flow sensitivity empirically satisfied?” Dr Leone Leonida profile

Keynote Speakers:

Professor Douglas Cumming

the DeSantis Distinguished Professor of Professor of Finance and Entrepreneurship at the College of Business, Florida Atlantic University in Boca Raton, Florida, and a Visiting Professor of Finance at Birmingham Business School, University of Birmingham.

Professor Douglas Cumming presentation

Dr Sean Foley

Associate Professor, Department of Applied Finance at Macquarie University, Australia. Dr Foley is a leading academic in the area of cryptocurrencies and the author of “Sex, Drugs and Bitcoin: How Much Illegal Activity Is Financed Through Cryptocurrencies?” in the Review of Financial Studies.

Dr Sean Foley presentation

Panel session Academics VS Practitioners: Future of Cryptocurrencies

Brian M. Lucey

Professor of Finance

School of Business, Trinity College Dublin, Ireland

Obi Nwosu

Chief Executive Officer

Coinfloor

John W. Goodell

Professor of Finance

College of Business Administration, The University of Akron, USA.

Gerald P. Dwyer

Professor of Economics and BB&T Scholar

Clemson University, USA

Video presentations

Special Issues

The European Journal of Finance 

The European Journal of Finance invites conference participants to submit their paper for consideration for a special issue on the theme “Cryptocurrency market dynamics and trading opportunities”. Please note that if there is excess demand for the special issue then some papers could be considered for a regular issue of the European Journal of Finance instead. The guest editors for the special issue will be Dr Larisa Yarovaya (University of Southampton), Dr Andrew Urquhart (University of Reading) and Dr Shaen Corbet (Dublin City University).

Research in International Business and Finance invites conference participants to submit their paper for consideration for a special issue on the theme “ICOs, privacy and ethical issues of cryptocurrencies”. Please note that if there is excess demand for the special issue then some papers could be considered for a regular issue of Research in International Business and Finance. The guest editors for the special issue will be Dr Paraskevi Katsiampa (University of Sheffield), Dr Athanasios Sakkas, (University of Nottingham) and Dr Richard McGee (University College Dublin).

The Southampton Business School has an international reputation for banking and finance. Financial research includes regulation, resource allocation, and a range of other decision-making tasks, both within and outside an organisation.

Our masters programmes in finance provide a solid foundation in finance and empirical finance. All three courses integrate theory and practice and provide the opportunity to take a number of specialist modules to focus on a particular area of finance.

BSc Finance

MSc Finance

MSc International Banking and Financial Studies

MSc International Financial Markets

MSc Risk and Finance

PhD Courses

We offer a combination of rigorous PhD-level training, supervised by leading researchers from the CDF. Postgraduate researchers have the opportunity to work with staff of the highest calibre within our internationally recognised centres of excellence. The CDF has access to state-of-the-art computational facilities, as well as data sources such as Bloomberg, datastream, bankscope and fame. Trainees are encouraged to take an active role in the activities of the CDF group within Southampton Business School, including attending seminars, workshops and providing short presentations on their work. 

There are currently 20 students studying PhDs in the CDF research area, each of whom is benefiting from the supervisory skills and interdisciplinary expertise of the Centre’s members. Our PhD programme is entirely research-orientated. 

If you already have a clear idea of your intended research topic, it is important to explore our members' research areas to find out where your own research is likely to fit. This will help you to identify staff members who may be specifically suited to your proposed area of research and, potentially, to pinpoint which members are actively seeking to recruit PhD students.

Find out more about applying for a PhD at Southampton Business School.

Apply online for a full-time or part-time PhD programme

The Centre’s members come from a variety of academic disciplines and it aims to foster a deeper understanding and awareness of the complex inter-relationship between business and technology through research, consultancy and education.

If you would like to receive more information about the Centre for Digital Finance please contact the centre directors:

Professor Frank Mc Groarty - Professor of Computational Finance and Investment Analytics within Southampton Business School at the University of Southampton.

Professor Simon Wolfe - Professor of Banking and Finance within Southampton Business School at the University of Southampton.

Professor Jose Olmo - Professor of Economics at the University of Southampton.

Dr Larisa Yarovaya - Deputy Head of the Centre for Digital Finance at the University of Southampton.

Our Members

Dr Sasan Barak Professor Nicky Marsh 
Dr Markus Brede  Professor Cesario Mateus
Dr Héctor Calvo Pardo Professor Tapas Mishra
Dr Raju Chinthalalpati Dr Sovan Mitra
Professor Taufiq Choudhry Professor Mahesan Niranjan
Dr Jeremy Eng-Tuck Cheah   Dr Tahir Nisar
Professor Patrick Doncaster Dr Ramin Okhrati
Professor Alex Frino Dr Panayiotis Papakyriakou
Dr Enrico Gerding Dr Paulo Regis
Dr Vadim Grinevich  Dr Sophie Stalla-Bourdillon
Professor Johnnie Johnson Professor Georgios Sermpinis
Dr Antonios Kalyvas Dr Charalampos Stasinakis
Dr Arben Kita Dr Nongnuch Tantisantiwong
Dr Renatas Kizys Dr Thanassis Tiropanis
Professor Gerhard Kling Dr Andrew Urquhart (Reading page)
Dr Gabriele Lepori Dr Krishanthi Vithana
Dr Sha Liu Dr Si Zhou
Professor Brian Lucey Dr Zhuan (Jason) Zhang
Dr Di Luo  
Dr Yun Luo  
Dr Tiejun Ma  


Our PhD Students

Ahmad Maaitah (Ahmad.Maaitah@soton.ac.uk) is a Postgraduate researcher in the Research Centre for Digital Finance in Southampton Business School. His supervisory team consists of Professor Tapas Mishra and Professor Simon Wolfe.

Alongside his research, he is involved in teaching different classes in the Banking and Finance department, after becoming an associate fellow of the Higher Education Academy (HEA). Between the latter two roles he is the PGR representative of Finance department and a member of the committee of Southampton Business School Postgraduate Researcher Society (SBS-PGR).

During his PhD Ahmad already published the paper “Giver and the receiver: Understanding spillover effects and predictive power in cross-market Bitcoin prices” in the International Review of Financial Analysis. doi.org/10.1016

William Lewis (wnl1g14@soton.ac.uk) is a PhD student under the supervision of Professor Frank McGroarty, Dr Tiejun Ma and Professor Vanessa Sung at Centre for Digital Finance.

William’s research focuses on using the latest machine learning techniques to split market price movements into the driving factors behind them.  In particular, he is using autoencoders to learn complex relationships between financial indicators via deep learning. The deep features learnt can then be used to create tradable indices with low inter-correlation, a portfolio of which would enable greater diversification. His work has questioned the nature of risk management and proposed novel approaches to avoid losses during a crisis. This PhD program, co-sponsored by the ESPRC and Seven Investment Management, a London based asset manager. The collaboration aims to provide academia with valuable insight from industry and provide industry with the latest implementations in portfolio management.

Zeming Li (Zeming.Li@soton.ac.uk) conducts doctoral research under the supervision of Professor Simon Wolfe at the Research Centre for Digital Finance in Southampton Business School.

Zeming’s research focuses on high-frequency stock return predictability and pricing issues with particular attention to their association with market micro-characteristics and investor behavioural biases. He has presented his research at several international conferences and won the INQUIRE (UK) Young Quant Research Award 2019. Zeming also holds an associate fellowship of the Higher Education Academy (HEA) and delivers seminars/tutorials to both UG and PG for several modules.

Manuel Nunes (m.nunes@soton.ac.uk) is a postgraduate researcher working in a multidisciplinary project involving the Southampton Business School, Centre for Digital Finance and the School of Electronics and Computer Science, under the supervision of Professor Frank McGroarty and Dr Enrico Gerding. His research focuses on the application of machine learning in fixed income markets, specifically the use of deep learning models for yield and yield curve forecasting and more recently the use of reinforcement learning techniques in fixed income portfolio management.

He holds a BSc, MSc, MBA and PhD. Prior to starting his present research project, he worked in financial markets, for banks and financial institutions, initially as an equity research analyst, then as portfolio manager and head of fixed income.

He has presented his PhD research at the International Conference on Forecasting Financial Markets, in Venice, Italy (doi.org 10.2139), at the Workshop on Advancing Machine Learning in Finance, Insurance and Economics, in London (doi.org/10.13140) and published in the journal Expert Systems with Applications (doi.org/10.1016).

Wanying Zhou's research title is 'Preventing Bias when Pricing Insurance Derivatives using Data Driven Machine Learning Techniques'. It will explore the relationship between group fairness and individual fairness in machine learning pricing algorithms and develop algorithms in order to comply with specific requirements in equality. The research will focus on insurance premium calculations as the primary domain, but many of the results will be transferable to other domains. She is conducting interdisciplinary research affiliated to both the Agents, Interactions & Complexity group in the School of Electronics and Computer Science and the Centre for Digital Finance in the Business School. Her supervisors are Dr Enrico Gerding, Prof Frank McGroarty and Dr Ramin Okhrati.

Simon Wolfe and Alexander Culley “Algo trading, use of AI and Machine Learning: What does it mean for conduct rules?”

Algo Trading Conduct Risk A Culley video

Learn more about our current and past projects

Investor Sentiment Scores Derived from Social Media Posts

A pioneering study on the firm-specific investor sentiment content of social media posts was led by Professor Frank McGroarty, sponsored by US firm Visible Technologies (now owned by Cision) along with their UK affiliate, Channel Creator. Visible Technologies supplied a unique 350GB database containing 100million social media messages about the S&P Index of the 500 largest stocks for this study. The data consisted of text from the likes of Facebook, Twitter and specialist blogs and forums, which was studied alongside positive and negative stock price movements. The team developed a brand new statistical technique, Signal Diffusion Mapping (SDM), which is used to map the relationship between news event sentiment and subsequent price reactions.

Finance, Business and the Internet-of-Things

Professor Frank McGroarty led the business and financial modelling for a large technology project, which was part of a €3.4million EU-funded research project called IoT-Lab (which stands for Internet-of-Things Laboratory). This was an 8-partner, 6-country, European, industry-academia research consortium. The main project was to develop and deliver a mobile Internet-of-Things testbed with crowdsource functionality which uses a distributed network of smartphone sensors and smartphone users. The business and financial modelling component of this research included an analysis of the various stakeholders and their roles, establishing and evaluating the financial costs associated with setting up and running different mobile IoT-Lab testbed configurations, developing a Business Model Canvas for IoT-Lab, evaluating a variety of possible revenue models, value chain analysis, identifying potential value-added services and developing pricing models for these, governance structure and also a framework for analysing the economic/social impact of IoT-Lab experiments.

Improved Risk Measurement and Models for Seven Investment Management

Centre of Digital Finance team members worked on a number of research projects sponsored by Seven Investment Management, many of which were led by Professor Frank McGroarty. One research project produced a method for computing robust optimal weights for various asset classes in a portfolio. We also worked with 7IM in a Knowledge Transfer Partnership (KTP) project to develop an optimal way to combine implied volatility information from the options market with volatility derived from historical prices, for portfolio risk monitoring and management. Two further 7IM sponsored research projects involved a cloud-based method for portfolio risk analysis and an ongoing study on Artificial Intelligence driven factor asset selection model.

Our COVID-19 research projects

The members of the CDF are actively involved in research on financial effects of the COVID-19 pandemic, and working on funding application in this area.

Dr Renatas Kizys considered the question: Do government interventions aimed at curbing the spread of COVID-19 affect stock market volatility? In his recent paper “Infected Markets: Novel Coronavirus, Government Interventions, and Stock Return Volatility around the Globe” published in the Finance Research Letters https://doi.org/10.1016/j.frl.2020.101597

Dr Larisa Yarovaya analysed the time-frequency relationship between COVID-19 outbreak, oil price, geopolitical risk, economic uncertainty and US stock market, and published the paper “COVID-19 pandemic, oil prices, stock market, geopolitical risk and policy uncertainty nexus in the US economy: Fresh evidence from the wavelet-based approach” in the International Review of Financial Analysis. https://doi.org/10.1016/j.irfa.2020.101496

Members of the centre also upload several working papers on COVID-19 to SSRN:

Yarovaya, Larisa and Matkovskyy, Roman and Jalan, Akanksha, The Effects of a 'Black Swan' Event (COVID-19) on Herding Behavior in Cryptocurrency Markets: Evidence from Cryptocurrency USD, EUR, JPY and KRW Markets (April 27, 2020). Available at SSRN: https://ssrn.com/abstract=3586511 or http://dx.doi.org/10.2139/ssrn.3586511

Yarovaya, Larisa and Brzeszczynski, Janusz and Goodell, John W. and Lucey, Brian M. and Lau, Chi Keung, Rethinking Financial Contagion: Information Transmission Mechanism During the COVID-19 Pandemic. (May 16, 2020). Available at SSRN: https://ssrn.com/abstract=3602973 or http://dx.doi.org/10.2139/ssrn.3602973

Yarovaya, Larisa and Matkovskyy, Roman and Jalan, Akanksha, The COVID-19 Black Swan Crisis: Reaction and Recovery of Various Financial Markets (May 27, 2020). Available at SSRN: https://ssrn.com/abstract=3611587

Cryptocurrency Research Conference 2019

The Centre for Digital Finance organised the second Cryptocurrency Research Conference 2019 that took place on 15-16 June 2019 at Southampton Business School, Southampton, UK. Conference welcomed 75 delegates from 42 institutions, including presenters from the University of Sydney (Australia), Ministry of Finance of Japan (Japan), Yale University (USA), as well delegates from India, China, EU and the UK, among others. This was the largest Cryptocurrency research conference that has been organised to date.

The highlights of the conference were the keynote speeches delivered by academic and industry experts.

Dr Garrick Hileman (Head of Research at Blockchain, co-founder of Mosaic and research associate at London School of Economics) presented his research on Stablecoins, providing useful insights on adoption, landscape, and users cases.

Obi Nwosu (CEO and co-founder of Coinfloor) supported this conference from the initial launch of this series of conferences. Last year, during the Cryptocurrency Research Conference 2018, Obi joined the panel discussion “Cryptocurrencies: Opportunities and Challenges in the digital age”, and this year, as a keynote, Obi delivered an inspirational talk and shared his experience of creation and running of one of the largest cryptocurrency exchanges.

The conference provided great opportunities for networking and sharing the ideas in this innovative field.

On Sunday morning our third keynote Dr Shaen Corbet (cryptocurrency expert, Associate Professor of Finance, Dublin City University, Dublin, Ireland) presented an overview of the cryptocurrency research “The Continued Evolution of Cryptocurrencies”, highlighting the most interesting findings in this area and directions for further research.

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Dr Garrick Hileman presenting his research on Stablecoins
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Obi Nwosu delivering a keynote presentation
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Obi Nwosu delivering a keynote presentation
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Participants networking
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Participants networking
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Participants discussing the presentations
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Questions to the presenters
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Dr Shaen Corbet presenting on cryptocurrency
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Dr Shaen Corbet presenting on cryptocurrency

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