Abstract
Several key transformations in the macro-environment coupled with recent advances in technology have opened up tremendous opportunities for innovation in the financial services industry. We discuss the implications and ramifications of these macro-environmental trends for data science research. Moreover, we describe novel and innovative IT-enabled applications, use-cases and techniques in retail financial services as well as in financial investment services. Furthermore, this paper identifies the research challenges that need to be addressed for realizing the full potential of innovation in financial services. Examples of such research challenges include context-aware analytics over uncertain and imprecise data, data reasoning and semantics, cognitive and behavioural analytics, design of user-friendly interfaces for improved expressiveness in querying financial service providers, personalization based on fine-grained user preferences and financial Big Data processing on Cloud-based infrastructure. Additionally, we discuss new and exciting opportunities for innovation in financial services by leveraging the new and emerging financial technologies as well as Big Data technologies.
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References
Alternative Investment. http://www.investopedia.com/terms/a/alternative_investment.asp. Accessed 30 Sept 2010
Global shift into alternative assets gathers pace. https://www.ft.com/content/1167a4b8-6653-11e7-8526-7b38dcaef614. Accessed 30 Sept 2010
How AI and automation will shape finance in the future, November 2017. https://www.forbes.com/sites/workday/2017/11/03/how-ai-and-automation-will-shape-finance-in-the-future. Accessed 30 Sept 2010
Fintech funding sets new records in 2017 (2018). https://www.finextra.com/pressarticle/72819/fintech-funding-sets-new-records-in-2017. Accessed 30 Sept 2010
Making blockchain real for customer loyalty rewards programs (2018). https://www2.deloitte.com/us/en/pages/financial-services/articles/making-blockchain-real-customer-loyalty-rewards-programs.html. Accessed 30 Sept 2010
Ahn, M.J.: A theory of domestic and international trade finance. No. 11–262, International Monetary Fund (2011)
Alharby, M., van Moorsel, A.: Blockchain-Based Smart Contracts: A Systematic Mapping Study (2017). CoRR abs/1710.06372. http://arxiv.org/abs/1710.06372
Asthana, S., Balsam, S., Kim, S.: The effect of Enron, Andersen, and Sarbanes-Oxley on the US market for audit services. Account. Res. J. 22(1), 4–26 (2009)
Bajpai, P.: The Rise of Peer-to-Peer (P2P) Lending (2016). http://www.nasdaq.com/article/the-rise-of-peertopeer-p2p-lending-cm685513. Accessed 30 Sept 2010
Brody, R.G., Melendy, S.R., Perri, F.S.: Commentary from the american accounting association’s 2011 annual meeting panel on emerging issues in fraud research. Account. Horiz. 26(3), 513–531 (2012)
Danielsson, J., Macrae, R., Uthemann, A.: Artificial intelligence, financial risk management and systemic risk. Tech. rep., University of Zurich, Department of Informatics, November 2017. Accessed 30 Sept 2010
Gao, X., Chan, L.: An algorithm for trading and portfolio management using q-learning and sharpe ratio maximization. In: Proceedings of the International Conference on Neural Information Processing, pp. 832–837 (2000)
Gatteschi, V., Lamberti, F., Demartini, C., Pranteda, C., Santamaría, V.: Blockchain and smart contracts for insurance: Is the technology mature enough? Future Internet 10(2), 20 (2018)
Gomber, P., Koch, J.A., Siering, M.: Digital finance and fintech: current research and future research directions. J. Bus. Econ. 87(5), 537–580 (2017)
Kishore, A.: Business correspondent model boosts financial inclusion in India (2012). https://www.minneapolisfed.org/publications/community-dividend/business-correspondent-model-boosts-financial-inclusion-in-india. Accessed 31 Jan 2015
Krishnan, V.S., Cumbie, J., Ice, R.: Defined benefit plans vs. defined contribution plans: An evaluation framework using random returns. https://papers.ssrn.com/sol3/papers.cfm?abstract_id=2954196
Krishnapuram, R., Mondal, A.: Upcoming research challenges in the financial services industry: a technology perspective. J. Inst. Dev. Res. Bank. Technol. (IDRBT), 66 (2017)
Kuhn, J.R., Sutton, S.G.: Learning from Worldcom: implications for fraud detection through continuous assurance. J. Emerg. Technol. Account. 3(1), 61–80 (2006)
Lillicrap, T.P., Hunt, J.J., Pritzel, A., Heess, N., Erez, T., Tassa, Y., Silver, D., Wierstra, D.: Continuous control with deep reinforcement learning (2015). CoRR abs/1509.02971. http://arxiv.org/abs/1509.02971
Marc, A.: Boosting trade finance in developing countries: What link with the WTO. World Trade Organization Staff Working Paper Ersd-2007-04. http://ssrn.com/abstract 1086278 (2007)
Mollick, E.: The dynamics of crowdfunding: an exploratory study. J. Bus. Ventur. 29(1), 1–16 (2014)
Mondal, A., Sandor, A., Popa, D.N., Stavrianou, A., Proux, D.: System and method for facilitating interpretation of financial statements in 10 K reports by linking numbers to their context, US Patent App. 14/715,998. 24 November 2016
Moody, J., Saffell, M.: Learning to trade via direct reinforcement. IEEE Trans. Neural Netw. 12(4), 875–889 (2001)
Morgan, B.: 5 ways chatbots can improve customer experience in banking, August 2017. https://www.forbes.com/sites/blakemorgan/2017/08/06/5-ways-chatbots-can-improve-customer-experience-in-banking/. Accessed 30 Sept 2010
Mosic, R.: Deep Reinforcement Learning Based Trading Application at JP Morgan Chase, July 2017. https://medium.com/@ranko.mosic/reinforcement-learning-based-trading-application-at-jp-morgan-chase-f829b8ec54f2. Accessed 30 Sept 2010
Nakamoto, S.: Bitcoin: A peer-to-peer electronic cash system. https://bitcoin.org/bitcoin.pdf (2008). Accessed 30 Sept 2010
Nguyen, M.H.: How chatbots and artificial intelligence will save banks and the finance industry billions, October 2018. https://www.businessinsider.com/chatbots-banking-ai-robots-finance-2017-10?IR=T. Accessed 30 Sept 2010
Orlova, N.S., Rutledge, M.S., Wu, A.Y.: The transition from defined benefit to defined contribution pensions: Does it influence elderly poverty?. Tech. rep, Center for Retirement Research (2015)
Peachy, S., Roe, A.: Access to finance: What does it mean and how do savings banks foster access. WSBI, World Savings Banks Institute (2006)
Puschmann, T.: Fintech. Bus. Inf. Syst. Eng. 59(1), 69–76 (2017). https://doi.org/10.1007/s12599-017-0464-6
Schueffel, P.: Taming the beast: a scientific definition of fintech. J. Innov. Manag. 4, 32–54 (2016)
Securities, U., Commission, E., et al.: The laws that govern the securities industry (2012). http://www.sec.gov/about/laws.shtml#sox2002. Accessed 31 Jan 2015
Shin, L.: How millennials’ money habits could shake up the financial services industry (2015). http://www.forbes.com/sites/laurashin/2015/05/07/how-millennials-money-habits-could-shake-up-the-financial-services-industry/. Accessed 30 Sept 2010
Singh, A.: Relationships matter: Mining relationships using deep learning, September 2018. https://confengine.com/odsc-india-2018/proposal/7264/relationships-matter-mining-relationships-using-deep-learning. Accessed 30 Sept 2010
Sironi, P.: FinTech innovation: from robo-advisors to goal based investing and gamification. Wiley, Chichester (2016)
Swaminathan, K.: How blockchain can crack the holy grail of loyalty programs, July 2018. https://www.finextra.com/blogposting/15430/how-blockchain-can-crack-the-holy-grail-of-loyalty-programs. Accessed 30 Sept 2010
Yli-Huumo, J., Ko, D., Choi, S., Park, S., Smolander, K.: Where is current research on blockchain technology?–a systematic review. PloS One 11(10), e0163477 (2016)
Zhao, J.L., Fan, S., Yan, J.: Overview of business innovations and research opportunities in blockchain and introduction to the special issue. Financ. Innov. 2(1), 28 (2016). https://doi.org/10.1186/s40854-016-0049-2
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Mondal, A., Singh, A. (2018). Emerging Technologies and Opportunities for Innovation in Financial Data Analytics: A Perspective. In: Mondal, A., Gupta, H., Srivastava, J., Reddy, P., Somayajulu, D. (eds) Big Data Analytics. BDA 2018. Lecture Notes in Computer Science(), vol 11297. Springer, Cham. https://doi.org/10.1007/978-3-030-04780-1_9
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