FinTech revolution: the impact of management information systems upon relative firm value and risk

Mitra, S. and Karathanasopoulos, A. 2020. FinTech revolution: the impact of management information systems upon relative firm value and risk. Journal of Banking and Financial Technology. 4, p. 175–187. https://doi.org/10.1007/s42786-020-00023-0

TitleFinTech revolution: the impact of management information systems upon relative firm value and risk
TypeJournal article
AuthorsMitra, S. and Karathanasopoulos, A.
Abstract

The FinTech or ‘financial technology’ revolution has been gaining increasing interest as technologies are fundamentally changing the business of financial services. Consequently, financial technology is playing an increasingly important role in providing relative performance growth to firms. It is also well known that such relative performance can be observed through pairs trading investment. Therefore pairs trading have implications for understanding financial technology performance, yet the relationships between relative firm value and financial technology are not well understood. In this paper we investigate the impact of financial technology upon relative firm value in the banking sector. Firstly, using pairs trade data we show that financial technologies reveal differences in relative operational performance of firms, providing insight on the value of financial technologies. Secondly, we find that contribution of relative firm value growth from financial technologies is dependent on the specific business characteristics of the technology, such as the business application and activity type. Finally, we show that financial technologies impact the operational risk of firms and so firms need to take into account both the value and risk benefits in implementing new technological innovations. This paper will be of interest to academics and industry professionals.

KeywordsFinTech, Financial technology, Operational risk, Relative firm value, Firm value, Risk management, Pairs trading, Shareholder value
JournalJournal of Banking and Financial Technology
Journal citation4, p. 175–187
ISSN2524-7956
2524-7964
Year2020
PublisherSpringer
Publisher's version
License
CC BY 4.0
File Access Level
Open (open metadata and files)
Digital Object Identifier (DOI)https://doi.org/10.1007/s42786-020-00023-0
Web address (URL)https://link.springer.com/article/10.1007%2Fs42786-020-00023-0
Publication dates
Published online06 Oct 2020
Supplemental file
License
CC BY 4.0
File Access Level
Open (open metadata and files)

Related outputs

A multi-Objective Optimisation Metaheuristic Hybrid technique for Forecasting the Electricity Consumption of the UAE: A Grey Wolf Approach
Andreas Karathanasopoulos, Chia Chun Lo, Sovan Mitra, Mohamed Osman, Hans-Jörg von Mettenheim and Slim Skander 2024. A multi-Objective Optimisation Metaheuristic Hybrid technique for Forecasting the Electricity Consumption of the UAE: A Grey Wolf Approach. Journal of Forecasting. Advanced online publication. https://doi.org/10.1002/for.3187

Catastrophe Bond Pricing In The Primary Market: The Issuer Effect And Pricing Factors
Chatoro, M, Mitra, S., Pantelous, A.A. and Shao, J. 2023. Catastrophe Bond Pricing In The Primary Market: The Issuer Effect And Pricing Factors. International Review of Financial Analysis. 85 102431. https://doi.org/10.1016/j.irfa.2022.102431

A Real Options Approach To Measuring Freedom In Sen’s Capabilities Approach
Mitra, S. 2022. A Real Options Approach To Measuring Freedom In Sen’s Capabilities Approach. International Journal of Sustainable Economy. 14 (1), pp. 98-110. https://doi.org/10.1504/IJSE.2022.119716

Optimal Feedback Control of Stock Prices Under Credit Risk Dynamics
Mitra, S., Jinghai Shao and Karathanasopoulos, Andreas 2022. Optimal Feedback Control of Stock Prices Under Credit Risk Dynamics. Annals of Operations Research. 313, pp. 1285-1318. https://doi.org/10.1007/s10479-021-04002-6

Keynesian Resurgence: Financial Stimulus And Contingent Claims Modelling
Clark, E., Mitra, S. and Jokung, O. 2020. Keynesian Resurgence: Financial Stimulus And Contingent Claims Modelling. International Journal of Mathematics in Operational Research. 17 (2), pp. 199-232. https://doi.org/10.1504/IJMOR.2020.109701

Downside risk measurement in regime switching stochastic volatility
Mitra, S. 2020. Downside risk measurement in regime switching stochastic volatility. Journal of Computational and Applied Mathematics. 378 112845. https://doi.org/10.1016/j.cam.2020.112845

Health Care Investment: The Case of Multiple Sources of Risk
Jokung, O. and Mitra, S. 2020. Health Care Investment: The Case of Multiple Sources of Risk. Asia-Pacific Financial Markets. 27, pp. 231-255. https://doi.org/10.1007/s10690-019-09291-3

An analysis of dollar cost averaging and market timing investment strategies
Lars Kirkby, J., Mitra, S. and Nguyen, D. 2020. An analysis of dollar cost averaging and market timing investment strategies. European Journal of Operational Research. 286 (3), pp. 1168-1186. https://doi.org/10.1016/j.ejor.2020.04.055

Ensemble Models in Forecasting Financial Markets
Karathanasopoulos, A., Mitra, S., Lo, C.C., Zaremba, A. and Osman, M. 2019. Ensemble Models in Forecasting Financial Markets. Journal of Computational Finance. 23 (3), pp. 101-119. https://doi.org/10.21314/JCF.2019.374

Big Data And PAC Learning In The Presence Of Noise: Implications For Financial Risk Management
Chinthalapati, V.L.R., Mitra, S. and Serguieva, A. 2019. Big Data And PAC Learning In The Presence Of Noise: Implications For Financial Risk Management. International Journal of Artificial Intelligence. 17 (1), pp. 34-56.

Risk lovers, mixed risk loving and the preference to combine good with good
Jokung, O. and Mitra, S. 2019. Risk lovers, mixed risk loving and the preference to combine good with good. International Journal of Management and Applied Science. 11 (4), pp. 295-313.

Post Global Financial Crisis Modelling: Credit Risk For Firms That Are Too Big To Fail
Clark, E., Mitra, S. and Jokung, O. 2019. Post Global Financial Crisis Modelling: Credit Risk For Firms That Are Too Big To Fail. International Journal of Financial Markets and Derivatives. 7 (1), pp. 15-39. https://doi.org/10.1504/IJFMD.2019.101235

Political Risk Modelling and Measurement From Stochastic Volatility Models
Mitra, S. 2019. Political Risk Modelling and Measurement From Stochastic Volatility Models. International Journal of Sustainable Economy. 11 (2), pp. 184-218. https://doi.org/10.1504/IJSE.2019.099064

Regression Based Scenario Generation: Applications For Performance Management
Mitra, S., Lim, S. and Karathanasopoulos, A. 2019. Regression Based Scenario Generation: Applications For Performance Management. Operations Research Perspectives. 6 100095. https://doi.org/10.1016/j.orp.2018.100095

Firm Value And The Impact of Operational Management
Mitra, S. and Karathanasopoulos, A. 2019. Firm Value And The Impact of Operational Management. Asia-Pacific Financial Markets. 26, pp. 61-85. https://doi.org/10.1007/s10690-018-9258-1

Stock-ADR Arbitrage: Microstructure Risk
Mitra, S. 2019. Stock-ADR Arbitrage: Microstructure Risk. Journal of International Financial Markets, Institutions and Money. 63 101132. https://doi.org/10.1016/j.intfin.2019.08.004

Efficient Option Risk Measurement With Reduced Model Risk
Mitra, S. 2017. Efficient Option Risk Measurement With Reduced Model Risk. Insurance: Mathematics and Economics. 72, pp. 163-174. https://doi.org/10.1016/j.insmatheco.2016.09.006

Stock Market Prediction Using Evolutionary Support Vector Machines: An Application To The ASE20 Index
Karathanasopoulos, A., Theofilatos, K.A., Sermpinis, D., Dunis, C., Mitra, S. and Stasinakis, C. 2016. Stock Market Prediction Using Evolutionary Support Vector Machines: An Application To The ASE20 Index. European Journal of Finance. 22 (12), pp. 1145-1163. https://doi.org/10.1080/1351847X.2015.1040167

Operational Risk: Emerging Markets, Sectors and Measurement
Mitra, S., Karathanasopoulos, A., Sermpinis, G., Dunis, C. and Hood, J. 2015. Operational Risk: Emerging Markets, Sectors and Measurement . European Journal of Operational Research. 241 (1), pp. 122-132. https://doi.org/10.1016/j.ejor.2014.08.021

Permalink - https://westminsterresearch.westminster.ac.uk/item/v1x0q/fintech-revolution-the-impact-of-management-information-systems-upon-relative-firm-value-and-risk


Share this

Usage statistics

198 total views
159 total downloads
These values cover views and downloads from WestminsterResearch and are for the period from September 2nd 2018, when this repository was created.