Revolutionizing Robo-Advisors: Unveiling Global Financial Markets, AI-Driven Innovations, and Technological Landscapes for Enhanced Investment Decisions

Revolutionizing Robo-Advisors: Unveiling Global Financial Markets, AI-Driven Innovations, and Technological Landscapes for Enhanced Investment Decisions

Volume 9, Issue 2, Page No 33-44, 2024

Author’s Name: Marco I. Bonelli1, a), Jiahao Liu2

View Affiliations

1 Dr. Vishwanath Karad MIT World Peace University, Pune, 411038, India
2 Judge Business School, University of Cambridge, Cambridge, CB2 1AG, United Kingdom

a)whom correspondence should be addressed. E-mail:  Mibonelli6@gmail.com

Adv. Sci. Technol. Eng. Syst. J. 9(2), 34-44 (2024); a  DOI: 10.25046/aj090205

Keywords: Robo-advisors, Full-scale optimization, Digital twin, Natural language processing, Artificial intelligence

Share

32 Downloads

Export Citations

Robo-advisors, fundamental to the financial services sector, have undergone substantial technological metamorphosis. Innovations in artificial intelligence, blockchain, cloud technology, augmented reality, and virtual reality have reshaped the financial industry’s landscape. As automated investment solutions, robo-advisors are on the brink of further technological evolution. This comprehensive research amalgamates historical data, behavioral insights, and emerging market trends to provide technology-centric recommendations for the robo-advisory industry. Emphasizing the significance of a global perspective, the study explores the adoption of full-scale optimization in portfolio construction and the integration of digital twin capabilities. It delves into the burgeoning realm of Natural Language Processing facilitated by AI-driven chatbots in financial technology companies. These recommendations stand as pivotal pillars for steering the ongoing technological advancements of robo-advisors in the ever-evolving landscape of the financial sector.

Received: 05 November 2023, Revised: 05 March 2024, Accepted: 16 March 2024, Published Online: 20 April 2024

  1. Statista, Finance – Value and Forecasts, 2022. https://www.statista.com/outlook/dmo/app/finance/india [on 05.08.2023]
  2. G. Bayramoglu, An Overview of the Artificial Intelligence Applications in Fintech and Regtech, 291–298, 2021, doi:10.1007/978-981-33-6811-8 15.
  3. D. Belanche, L. V. Casal, C. Flavi ́an, “Artificial Intelligence in FinTech: understanding robo-advisors adoption among customers,” Industrial Management Data Systems, 119, 1411–1430, 2019, doi:10.1108/IMDS-08-2018-0368.
  4. M. I. Bonelli, E. S. Dongul, “Robo-Advisors in the Financial Services Industry: Recommendations for Full-Scale Optimization, Digital Twin Integration and Leveraging Natural Language Processing Trends,” 268–275, IEEE, 2023, doi:10.1109/ICVR57957.2023.10169615.
  5. L. D. Bernardis, ROBO ADVISORY Artificial intelligence applied to finance: An industry-specific analysis, comparing incumbents to startups: the Money-Farm vs YellowAdvice, LAP LAMBERT Academic Publishing, 2021.
  6. Deloitte, “2021 investment management outlook,” https://www2.deloitte.com/jp/en/pages/financial-services/articles/im/2021- investment-management-outlook.html, 1–26, 2021.
  7. K. Wahabi, Lakhchini, Rachid Wahabi, “Artificial Intelligence Machine Learning in Finance: A literature review,” International Journal of Accounting, Finance, Auditing, Management and Economics, 3, 437–455, 2022, doi: 10.5281/zenodo.7454232.
  8. A. Bhatia, A. Chandani, R. Atiq, M. Mehta, R. Divekar, “Artificial intelligence in financial services: a qualitative research to discover robo-advisory services,” Qualitative Research in Financial Markets, 13, 632–654, 2021, doi:10.1108/QRFM-10-2020-0199.
  9. V. Joshi, Dr. Manjari Sharma, “Artificial Intelligence and Financial Decision Making – Review of efficacy in Usage within Financial Organizations in India,” Turkish Online Journal of Qualitative Inquiry (TOJQI), 12, 12138–12160, 2021.
  10. R. Manrai, K. P. Gupta, “Investor’s perceptions on artificial intelligence (AI) technology adoption in investment services in India,” Journal of Financial Services Marketing, 28, 1–14, 2023, doi:10.1057/s41264-021-00134-9.
  11. Nain, S. Rajan, “Algorithms for better decision-making: a qualitative study exploring the landscape of robo-advisors in India,” Managerial Finance, 49, 1750–1761, 2023, doi:10.1108/MF-01-2023-0055.
  12. M. Shanmuganathan, “Behavioural finance in an era of artificial intelligence: Longitudinal case study of robo-advisors in investment decisions,” Journal of Behavioral and Experimental Finance, 27, 100297, 2020, doi:10.1016/j.jbef.2020.100297.
  13. M. Sarea, A. H. Elsayed, S. A. Bin-Nashwan, Artificial Intelligence and Islamic Finance, Routledge, 2021, doi:10.4324/9781003171638.
  14. W. L. Shih, C. Wei, H. Lin, P. Chang, “RETRACTED: Selecting and balancing market portfolio using artificial intelligence and fuzzy Mult objective decision-making model,” Concurrent Engineering, 30, 382–398, 2022, doi:10.1177/1063293X221115768.
  15. G. Babaei, P. Giudici, E. Raffinetti, “Explainable artificial intelligence for crypto asset allocation,” Finance Research Letters, 47, 102941, 2022, doi: 10.1016/j.frl.2022.102941.
  16. S. Deo, “The Under-appreciated Regulatory Challenges posed by Algorithms in FinTech. Understanding interactions among users, firms, algorithm decision systems regulators,” 1–299, 2022, doi:10.48462/opus4-4288.
  17. Burnmark, “Digital Wealth,” 2017. https://www.burnmark.com/uploads/reports/Burnmark_Report_Apr17_ D igital_Wealth.pdf (accessed on 1/16/2023).
  18. W. Lam, “Robo-Advisors: A Portfolio Management Perspective,” 1–105, 2016.: https://economics.yale.edu/sites/default/files/2023- 01/Jonathan_Lam_Senior%20Essay%20Revised.pdf
  19. Bjerknes, A. Vukovic, A. A. Gaivoronski, “Automated advice: A portfolio management perspective on robo-advisors,” 2017.
  20. Backend Benchmarking, “The Robo Report and Robo Ranking. The Robo Report.” 2022. https://www.theroboreport.com/ (accessed on 01/18/ 2023)
  21. S. Utkus, A. Rossi, “Who Benefits from Robo-advising? Evidence from Machine Learning,” 2020.: https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3552671.
  22. D. Jung, V. Dorner, F. Glaser, S. Morana, “Robo-Advisory,” Business Information Systems Engineering, 60, 81–86, 2018, doi:10.1007/s12599-018-0521-9.
  23. R. Tao, C. Su, Y. Xiao, K. Dai, F. Khalid, “Robo advisors, algorithmic trading and investment management: Wonders of fourth industrial revolution in financial markets,” Technological Forecasting and Social Change, 163, 120421, 2021, doi:10.1016/j.techfore.2020.120421.
  24. B. Barber, Y. Lee, Y. Liu, T. Odean, “Just How Much Do Individual Investors Lose by Trading?” Review of Financial Studies, 22, 609–632, 2009, doi:10.1093/rfs/hhn046.
  25. W. N. Goetzmann, A. Kumar, “Equity Portfolio Diversification*,” Review of Finance, 12, 433–463, 2008, doi:10.1093/rof/rfn005.
  26. FROOT, D. Scharfstein, J. C. Stein, “Herd on the Street: Informational Inefficiencies in a Market with Short-Term Speculation,” The Journal of Finance, 47, 1461–1484, 1992, doi:10.1111/j.1540-6261.1992.tb04665.x.
  27. S. Chandler, “Robo-advisors offer automated investing services at a low cost —here’s how to tell if they’re right for you,” 2020: https://www.businessinsider.com/personal-finance/what-is-a-robo- advisor (accessed on 1/17/2023).
  28. F. D’Acunto, N. Prabhala, A. G. Rossi, “The Promises and Pitfalls of Robo-Advising,” The Review of Financial Studies, 32, 1983–2020, 2019, doi:10.1093/rfs/hhz014.
  29. Research, Markets, “Robo-advisory Services Market – Growth, Trends, COVID-19 Impact, and Forecasts (2022 – 2027),” 2022.: https://www.researchandmarkets.com/reports/5120011/roboadvisory- services-market-growth-trends (accessed on 01/18/ 2023).
  30. R. Dive, “The Use of Digital Technology and Automation in Wealth Management are creating Growth Opportunities for the Robo Advisory Market Globally,” 2022.
  31. J. P. Costa, “Vanguard research Quantifying the investor’s view on the value of human and robo-advice,” 2022. :https://advisors.vanguard.com/iwe/pdf/ISGHVD.pdf (accessed on 02/18/ 2023).
  32. B. Benchmarking, “The Robo Report and Robo Ranking.” 2022. : https://www.theroboreport.com/ (accessed on 02/20/ 2023)
  33. Beketov, K. Lehmann, M. Wittke, “Robo Advisors: quantitative methods inside the robots,” Journal of Asset Management, 19, 363–370, 2018, doi:10.1057/s41260-018-0092-9.
  34. Anshari, M. N. Almunawar, M. Masri, “Digital Twin: Financial Technology’s Next Frontier of Robo-Advisor,” Journal of Risk and Financial Management, 15, 163, 2022, doi:10.3390/jrfm15040163.
  35. M. B. A. Vasylchenko, “Web research and Google Trend data for Robo-Advisors study,” 2023.
  36. M. L. Sette, “Best Robo-Advisors. Investopedia. Reviewed by S. Silberstein. Fact checked by M. M. Klammer,” 2023. https://www.investopedia.com/best-robo-advisors-4693125
  37. Benson, “12 Best Robo-Advisors of August 2023,” 2023.
  38. T. Tepper, “5 Best Robo-Advisors Of August 2023. Forbes Advisor,” 2023. https://www.nerdwallet.com/best/investing/robo-advisors
  39. M. Frankel, “Best Robo-Advisors for August 2023,”. https://www.fool.com/the-ascent/buying-stocks/best-robo-advisors/
  40. E. Gravier, “The 5 Best Robo-Advisors When You Want to Be Hands Off with Your Investments. CNBC,” 2023. https://www.cnbc.com/select/best-robo-advisors/
  41. D. Sherarrow, “Best Robo Advisors in the U.S. August 2023,” 2023. https://www.investing.com/brokers/robo-advisors/
  42. I. Pino, “The Top Robo-Advisor Offerings for 2023.” 2023. https://fortune.com/recommends/investing/best-robo-advisors/
  43. M. C. Zinn, “Best Robo-Advisors for Investing for August 2023,” 2023. https://www.cnet.com/personal-finance/investing/advice/best-robo-advisor/
  44. J. Fell, “Best Robo Advisory: Top 6 Robo Advisors (2023),” 2023. https://www.entrepreneur.com/guide/investing/robo-advisors
  45. F. Allen, G. Xian, “A survey of fintech research and policy discussion,” 2021, doi:10.21799/frbp.wp.2020.21.
  46. M. I. Bonelli, “Macroeconomic Factors and SENSEX Performance in India: Unveiling the Post-Liberalization Era (1980-2020),” Indian Journal of Research in Capital Markets, Forthcoming, 2023.
  47. L. D. Bernardis, “Artificial intelligence applied to finance: Robo advisory: An industry-specific analysis, comparing incumbents to startups in business model sustainability: MoneyFarm vs YellowAdvice,” 2020.
  48. Deloitte, “2021 investment management outlook,”: https://www2.deloitte.com/content/dam/Deloitte/tr/Documents/financial-services/2021-investment-management-outlook.pdf.
  49. X. Cheng, F. Guo, J. Chen, K. Li, Y. Zhang, P. Gao, “Exploring the Trust Influencing Mechanism of Robo-Advisor Service: A Mixed Method Approach,” Sustainability, 11, 4917, 2019, doi:10.3390/su11184917.
  50. BLNC, “BLnC Invest,”. https://www.blincinvest.com
  51. T. Idzorek, A step-by-step guide to the Black-Litterman model, 17–38, Elsevier, 2007, doi:10.1016/B978-075068321-0.50003-0.
  52. R. O. Michaud, “The Markowitz Optimization Enigma: Is ‘Optimized’ Optimal?” Financial Analysts Journal, 45, 31–42, 1989, doi:10.2469/faj.v45.n1.31.
  53. M. Best, R. Grauer, “On the Sensitivity of Mean-Variance-Efficient Portfolios to Changes in Asset Means: Some Analytical and Computational Results,” Review of Financial Studies, 4, 315–342, 1991, doi:10.1093/rfs/4.2.315.
  54. T. Adler, M. Kritzman, “Mean-variance versus full-scale optimization: In and out of sample,” Journal of Asset Management, 7, 302–311, 2007, doi: 10.1057/palgrave.jam.2250042.
  55. C. Back, S. Morana, M. Spann, “When do robo-advisors make us better investors? The impact of social design elements on investor behavior,” Journal of Behavioral and Experimental Economics, 103, 101984, 2023, doi:10.1016/j.socec.2023.101984.
  56. M. Beketov, K. Lehmann, M. Wittke, “Robo Advisors: quantitative methods inside the robots,” Journal of Asset Management, 19, 363–370, 2018, doi:10.1057/s41260-018-0092-9.
  57. M. Anshari, M. N. Almunawar, M. Masri, “Digital Twin: Financial Technology’s Next Frontier of Robo-Advisor,” Journal of Risk and Financial Management, 15, 163, 2022, doi:10.3390/jrfm15040163.
  58. B. Mishra R. Agrawal, “Natural Language Processing in Artificial Intelligence,” Apple Academic Press, 2019.
  59. T. Rouzbeh A. Shirvani, Y. Keneshloo, “Natural Language Processing Advancements By Deep Learning: A Survey,” https://arxiv.org/, 2021, doi:10.48550/arXiv.2003.01200.
  60. R. Kliman, B. Arinze, Cognitive Computing: Impacts on Financial Advice in Wealth Management, 11–23, 2019, doi:10.1007/978-3-319-93299-6 2.
  61. C. Hildebrand, A. Bergner, “Conversational robo advisors as surrogates of trust: onboarding experience, firm perception, and consumer financial decision making,” Journal of the Academy of Marketing Science, 49, 659–676, 2021, doi:10.1007/s11747-020-00753-z.
  62. Maume, “Regulating Robo-Advisory,” SSRN Electronic Journal, 2018, doi:10.2139/ssrn.3167137.
  63. M. L. Fein, Regulation of Robo-Advisers in the United States, 105–131, 2021, doi:10.1007/978-3-030-40818-3 7.
  64. R. Steennot, “Robo-advisory services and investor protection,” Law and Financial Markets Review, 15, 262–277, 2021, doi:10.1080/17521440.2022.2153610.

Citations by Dimensions

Citations by PlumX

No. of Downloads Per Month

No. of Downloads Per Country