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Emerging Technologies and Opportunities for Innovation in Financial Data Analytics: A Perspective

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Big Data Analytics (BDA 2018)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 11297))

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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

  1. Alternative Investment. http://www.investopedia.com/terms/a/alternative_investment.asp. Accessed 30 Sept 2010

  2. Global shift into alternative assets gathers pace. https://www.ft.com/content/1167a4b8-6653-11e7-8526-7b38dcaef614. Accessed 30 Sept 2010

  3. 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

  4. 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

  5. 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

  6. Ahn, M.J.: A theory of domestic and international trade finance. No. 11–262, International Monetary Fund (2011)

    Google Scholar 

  7. Alharby, M., van Moorsel, A.: Blockchain-Based Smart Contracts: A Systematic Mapping Study (2017). CoRR abs/1710.06372. http://arxiv.org/abs/1710.06372

  8. 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)

    Google Scholar 

  9. 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

  10. 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)

    Article  Google Scholar 

  11. 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

    Google Scholar 

  12. 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)

    Google Scholar 

  13. 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)

    Article  Google Scholar 

  14. 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)

    Article  Google Scholar 

  15. 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

  16. 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

  17. Krishnapuram, R., Mondal, A.: Upcoming research challenges in the financial services industry: a technology perspective. J. Inst. Dev. Res. Bank. Technol. (IDRBT), 66 (2017)

    Google Scholar 

  18. 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)

    Article  Google Scholar 

  19. 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

  20. 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)

  21. Mollick, E.: The dynamics of crowdfunding: an exploratory study. J. Bus. Ventur. 29(1), 1–16 (2014)

    Article  Google Scholar 

  22. 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

    Google Scholar 

  23. Moody, J., Saffell, M.: Learning to trade via direct reinforcement. IEEE Trans. Neural Netw. 12(4), 875–889 (2001)

    Article  Google Scholar 

  24. 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

  25. 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

  26. Nakamoto, S.: Bitcoin: A peer-to-peer electronic cash system. https://bitcoin.org/bitcoin.pdf (2008). Accessed 30 Sept 2010

  27. 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

  28. 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)

    Google Scholar 

  29. Peachy, S., Roe, A.: Access to finance: What does it mean and how do savings banks foster access. WSBI, World Savings Banks Institute (2006)

    Google Scholar 

  30. Puschmann, T.: Fintech. Bus. Inf. Syst. Eng. 59(1), 69–76 (2017). https://doi.org/10.1007/s12599-017-0464-6

    Article  Google Scholar 

  31. Schueffel, P.: Taming the beast: a scientific definition of fintech. J. Innov. Manag. 4, 32–54 (2016)

    Google Scholar 

  32. 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

  33. 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

  34. 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

  35. Sironi, P.: FinTech innovation: from robo-advisors to goal based investing and gamification. Wiley, Chichester (2016)

    Google Scholar 

  36. 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

  37. 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)

    Article  Google Scholar 

  38. 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

    Article  Google Scholar 

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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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  • DOI: https://doi.org/10.1007/978-3-030-04780-1_9

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