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2022 | OriginalPaper | Buchkapitel

Robo-Advisors: A Big Data Challenge

verfasst von : Federico Severino, Sébastien Thierry

Erschienen in: Big Data in Finance

Verlag: Springer International Publishing

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Abstract

At the frontier of personal finance and FinTech, robo-advisors aim to provide customized portfolio strategies without human intervention. These new investment technologies typically propose passive strategies that match investor objectives and risk profiles at a low cost. This chapter explores how digital advisors lack precision in capturing clients’ attitudes towards risk and exposure. In this context, leveraging big data and artificial intelligence techniques can improve the principal strength of robo-advisors, i.e., their ability to provide automated, personalized investment solutions. Text data from dialogue systems, such as chatbots, can be employed to improve the client profile, while recommendation systems can use big data from financial social networks to recommend targeted investment strategies. Analysis of big data through machine learning methods can also improve the performance of the optimization algorithms employed by digital advisors. This chapter explores the vast potential for exploiting big data and artificial intelligence in automated asset management.

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Beketov, M., Lehmann, K., & Wittke, M. (2018). Robo advisors: Quantitative methods inside the robots. Journal of Asset Management, 19(6), 363–370. https://doi.org/10.1057/s41260-018-0092-9CrossRef

Benson, A. (2022, February 28). 11 best robo-advisors of March 2022. Nerdwallet. https://www.nerdwallet.com/best/investing/robo-advisors

Black, F., & Litterman, R. (1992). Global portfolio optimization. Financial Analysts Journal, 48(5), 28–43. https://doi.org/10.2469/faj.v48.n5.28CrossRef

Boreiko, D., & Massarotti, F. (2020). How risk profiles of investors affect robo-advised portfolios. Frontiers in Artificial Intelligence, 3, article 60. https://doi.org/10.3389/frai.2020.00060

Chen, H., Liu, X., Yin, D., & Tang, J. (2017). A survey on dialogue systems: Recent advances and new frontiers. ACM SIGKDD Explorations Newsletter, 19(2), 25–35. https://doi.org/10.1145/3166054.3166058CrossRef

Day, M.-Y., Cheng, T.-K., & Li, J.-G. (2018). AI robo-advisor with big data analytics for financial services. In 2018 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM) (pp. 1027–1031). IEEE. https://doi.org/10.1109/ASONAM.2018.8508854

Day, M.-Y., Lin, J.-T., & Chen, Y.-C. (2018). Artificial intelligence for conversational robo-advisor. In 2018 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM) (pp. 1057–1064). IEEE. https://doi.org/10.1109/ASONAM.2018.8508269

Faloon, M., & Scherer, B. (2017). Individualization of robo-advice. The Journal of Wealth Management, 20(1), 30–36. https://doi.org/10.3905/jwm.2017.20.1.030CrossRef

Fama, E. F., & French, K. R. (2010). Luck versus skill in the cross-section of mutual fund returns. The Journal of Finance, 65(5), 1915–1947. https://doi.org/10.1111/j.1540-6261.2010.01598.xCrossRef

Fein, M. (2015). Robo-advisors: A closer look. Available at SSRN. https://doi.org/10.2139/ssrn.2658701

Finews.Asia. (2016, August 1). Hong Kong robo-advisor set to democratise global investing. https://www.finews.asia/finance/22726-robo-advisor-fintech-asia-8-securities

FINRA. (2016). Report on digital investment advice. https://www.finra.org/sites/default/files/digital-investment-advice-report.pdf

Fisch, J., Laboure, M., & Turner, J. (2019). The emergence of the robo-advisor. In J. Agnew & O. S. Mitchell (Eds.), The disruptive impact of FinTech on retirement systems (pp. 13–37). Oxford University Press. https://doi.org/10.1093/oso/9780198845553.001.0001

French, K. R. (2008). Presidential address: The cost of active investing. The Journal of Finance, 63(4), 1537–1573. https://doi.org/10.1111/j.1540-6261.2008.01368.xCrossRef

Fung, P., Dey, A., Siddique, F., Lin, R., Yang, Y., Bertero, D., Wan, Y., Chan, R., & Wu, C.-S. (2016). Zara: A virtual interactive dialogue system incorporating emotion, sentiment and personality recognition. In Proceedings of COLING 2016, the 26th International Conference on Computational Linguistics: System Demonstrations (pp. 278–281). https://aclanthology.org/C16-2058

Hodge, F., Mendoza, K., & Sinha, R. (2021). The effect of humanizing robo-advisors on investor judgments. Contemporary Accounting Research, 38(1), 770–792. https://doi.org/10.1111/1911-3846.12641CrossRef

James, G., Witten, D., Hastie, T., & Tibshirani, R. (2013). An introduction to statistical learning with applications in R. Springer. https://doi.org/10.1007/978-1-4614-7138-7CrossRef

Jung, D., Dorner, V., Glaser, F., & Morana, S. (2018). Robo-advisory: Digitalization and automation of financial advisory. Business & Information Systems Engineering, 60(1), 81–86. https://doi.org/10.1007/s12599-018-0521-9CrossRef

Jung, D., Glaser, F., & Köpplin, W. (2019). Robo-advisory: Opportunities and risks for the future of financial advisory. In V. Nissen (Eds.), Advances in consulting research (pp. 405–427). Springer. https://doi.org/10.1007/978-3-319-95999-3_20

Kahneman, D. (2011). Thinking, fast and slow. Ferrar, Straus and Giroux.

Koksal, I. (2020, April 18). How AI is expanding the applications of robo advisory. Forbes. https://www.forbes.com/sites/ilkerkoksal/2020/04/18/how-ai-is-expanding-the-applications-of-robo-advisory/?sh=77dcfdea55c3

Laney, D. (2001). 3D data management: Controlling data volume, velocity and variety. META Group Research Note, 6(70)

Markowitz, H. (1952). Portfolio selection. The Journal of Finance, 7(1), 77–91. http://www.jstor.org/stable/2975974

Mehrabi, N., Morstatter, F., Saxena, N., Lerman, K., & Galstyan, A. (2021). A survey on bias and fairness in machine learning. ACM Computing Surveys, 54(6), 1–35. https://doi.org/10.1145/3457607CrossRef

Moulliet, D., Stolzenbach, J., Majonek, A., & Völker, T. (2016). The expansion of robo-advisory in wealth management. Deloitte. https://www2.deloitte.com/content/dam/Deloitte/de/Documents/financial-services/Deloitte-Robo-safe.pdf

Nicoletti, B. (2017). The future of FinTech. Integrating finance and technology in financial services. Palgrave Macmillan, Springer. https://doi.org/10.1007/978-3-319-51415-4

Phoon, K., & Koh, F. (2018). Robo-advisors and wealth management. The Journal of Alternative Investments, 20(3), 79–94. https://doi.org/10.3905/jai.2018.20.3.079CrossRef

Schwinn, R., & Teo, E. (2018). Inclusion or exclusion? Trends in robo-advisory for financial investment services. In Handbook of blockchain, digital finance, and inclusion, Volume 2 (pp. 481–492). Elsevier. https://doi.org/10.1016/B978-0-12-812282-2.00021-8

Sharpe, W. (1991). The arithmetic of active management. Financial Analysts Journal, 47(1), 7–9. https://doi.org/10.2469/faj.v47.n1.7CrossRef

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

Sovereign Wealth Fund Institute. (2015, August 27). Everyone wants a robo-advisor, right? https://www.swfinstitute.org/news/34448/everyone-wants-a-robo-advisor-right-8461344

Stulz, R. (2019). Fintech, bigtech, and the future of banks. Journal of Applied Corporate Finance, 31(4), 86–97. https://doi.org/10.1111/jacf.12492CrossRef

Tertilt, M., & Scholz, P. (2018). To advise, or not to advise—How robo-advisors evaluate the risk preferences of private investors. The Journal of Wealth Management, 21(2), 70–84. https://doi.org/10.3905/jwm.2018.21.2.070CrossRef

Uhl, M., & Rohner, P. (2018). Robo-advisors versus traditional investment advisors: An unequal game. The Journal of Wealth Management, 21(1), 44–50. https://doi.org/10.3905/jwm.2018.21.1.044CrossRef

Weisser, C. (2016, July 28). The rise of the robo-adviser. Consumer Reports. https://www.consumerreports.org/personal-investing/rise-of-the-robo-adviser/

Xing, F., Cambria, E., & Welsch, R. (2019). Intelligent asset management. Springer Nature Switzerland. https://doi.org/10.1007/978-3-030-30263-4CrossRef

Xu, J. (2021). A comprehensive survey on applications of big data in the financial industry. In R. Thurasamy, I. A. Majid, N. A. B. A. Rahman & A. H. Zulkafli (Eds.), Proceedings of the 2021 3rd International Conference on Economic Management and Cultural Industry (ICEMCI 2021) (pp. 311–315). Atlantis Press. https://doi.org/10.2991/assehr.k.211209.053

Xue, J., Zhu, E., Liu, Q., & Yin, J. (2018). Group recommendation based on financial social network for robo-advisor. IEEE Access, 6, 54527–54535. https://doi.org/10.1109/ACCESS.2018.2871131CrossRef

Titel: Robo-Advisors: A Big Data Challenge
verfasst von: Federico Severino
Sébastien Thierry
Verlag: Springer International Publishing
Buch: Big Data in Finance
Print ISBN: 978-3-031-12239-2

Electronic ISBN: 978-3-031-12240-8

Copyright-Jahr: 2022
DOI: https://doi.org/10.1007/978-3-031-12240-8_7

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