FINTECH AND AI IN FINANCE (FINTAF) Conference 2023

Conference dates

12 Jan 2023 - 13 Jan 2023

Location

Sheffield, United Kingdom

Description

The Finance , Accounting and Business Systems Department (FABS) of Sheffield Hallam University is pleased to announce the Launching of the FinTech and AI in Finance (FinTAF) conference 2023.

https://sites.google.com/my.shu.ac.uk/fintaf/home

Artificial intelligence has revolutionised the business world in general and the financial sector in particular. As a result of AI integration within the Fintech industry, digital transactions and data aggregations has become the norm in the financial sector. With particular interest the conference looks at the future implications of AI and Fintech on the financial industry from multiple facets : Namely, management, security and regulation are of particular concern. To this end we aim at receiving high quality Full papers , Working Papers or Discussion papers that contribute, but not limited, to the following academic and professional practice themes:

Ethical and Sustainability issues in FinTech and AI

Impact of CoVid on the rise and fall of FinTech

Cryptocurrency, Central Bank Digital currency, and Meme coins

Algorithmic Trading

Fintech and AI applications to Behavioural finance

RegTech and likely future direction

Developments within Non-fungible tokens (NFT)

The conference will run over two days with two Academic Keynote Speakers, Guest speakers from industry and FinTech start-ups, and paper presentations over the main conference tracks.

Awards for best papers will be presented at the gala dinner which will also provide an opportunity for delegates to network.

All Submitted papers are blindly peer reviewed. Selected papers will be published in the conference proceedings in our Open Journal System (OJS). The benefits of publishing in our OJS system include, high visibility and, most importantly, authors will maintain their papers copyrights. In other words authors are free to publish their papers in other journals if they wish too.

Selected papers would also be considered for publication in the special Issue of the Journal of Credit Risk.

https://www.risk.net/journal-of-credit-risk

Additional Information

FinTAF is a drive to share research developments and industry practice within FinTech and AI in Finance.

Our aim is to explore current developments within the FinTech industry and assess the key issues faced. The role played by artificial intelligence within FinTech development and its effect on key stakeholders i.e. investors decisions, financial services and global markets. We are also keen to explore empirically and theoretically the legal and regulatory implications of the FinTech industry and how it interfaces with the banking industry, asset servicing, capital markets and investment management (e.g. wealth management etc.).

We are currently based within the Finance, Accounting and Business Systems department at Sheffield Hallam University to drive research, education and practice within the field of FinTech and AI and develop a northern hub.

Editor in Chief
Dr Adil EL Fakir: Sheffield Hallam University
Senior lecturer of Finance and Banking
PhD in modelling and scientific computing in Finance
Research In AI applications to Finance such as Agent based simulations, Fuzzy Logic , Game theory , Behavioural and entrepreneurial Finance.

Co-Editor
Dr Firoz Bhaiyat: Sheffield Hallam University
Principal lecturer of Finance and Banking
Subject Group Leader Finance, Banking and Economics
PhD in Finance
Research interests are in the field of Fintech, Corporate Governance, Banking and Distressed investments.

Associate Editors
Pr Valerio Poti (University College Dublin)
Professor of Finance
Research projects on FinTech and Financial Data Science.
Founding editor of the peer-reviewed scientific journal Digital Finance (Springer, https://www.springer.com/journal/42521)

Pr Bonnie Buchanan (University of Surrey)
Professor of Finance
Head of department
Research expertise in FinTech, AI in financial services, securitization, CSR and law and finance

Pr Abderrahim Taamouti (University of Liverpool)
Professor of Econometrics
Research interest in Neural networks and asset pricing, Causality in Time Series, Characteristics functions methods, Exact sign-based Inference, Nonparametric Test and measures

Dr John Fry (Hull university)
Senior lecturer in Applied Financial mathematics
Research area in AI , Bitcoins , Cryptocurrency markets , Financial crashes and bubbles.

Pr Tahir Nisar (University of Southampton)
Associate Professor (Reader) within Southampton Business School at the University of Southampton, researching AI machine learning, governance and leadership, and entrepreneurship and entrepreneurial finance.

Dr Richard Fairchild , (University of Bath)
Senior lecture in Finance
Research area in Behavioural finance , Crowdfunding and Game theory. He also works on neuro-economic research around the motives and incentives of social and impact investors