International Journal of Reciprocal Symmetry and Theoretical Physics

Peer Reviewed Article

Vol. 5 (2018)

Integrating AI and Reciprocal Symmetry in Financial Management: A Pathway to Enhanced Decision-Making

Published
04-04-2018

Abstract

Using AI and reciprocal symmetry to improve financial management decision-making is revolutionary. The effectiveness of integrating AI technology within reciprocal symmetry principles in financial decision-making is examined in this study. This study examines how AI can evaluate complex financial data and find patterns in interconnected financial networks. The study also examines reciprocal symmetry and its effects on holistic and context-aware finance decision-making. Scholar articles, research papers, and industry reports were reviewed to synthesize knowledge on AI and reciprocal symmetry in financial management. The study shows that incorporating AI into reciprocal symmetry improves decision-making by offering holistic insights into market dynamics, boosting risk assessment and mitigation measures, and enabling adaptive responses to market complexity. Addressing data quality, AI algorithm biases, and ethical issues is essential for responsible AI deployment and ethical and equitable financial regulations. This study shows how AI and reciprocal symmetry might improve financial decision-making and innovation.

References

  1. Acemoglu, D., Ozdaglar, A., & Tahbaz-Salehi, A. (2015). Systemic Risk and Stability in Financial Networks. The American Economic Review, 105(2), 564-608. https://doi.org/10.1257/aer.20130456
  2. Anumandla, S. K. R. (2018). AI-enabled Decision Support Systems and Reciprocal Symmetry: Empowering Managers for Better Business Outcomes. International Journal of Reciprocal Symmetry and Theoretical Physics, 5, 33-41. https://upright.pub/index.php/ijrstp/article/view/129
  3. Eriksson, K., & Söderberg, I-L. (2010). Customers' Ways of Making Sense of a Financial Service Relationship Through Intersubjective Mirroring of Others. Journal of Financial Services Marketing, 15(2), 99-111. https://doi.org/10.1057/fsm.2010.8
  4. Horaguchi, H. H. (2008). Economics of Reciprocal Networks: Collaboration in Knowledge and Emergence of Industrial Clusters. Computational Economics, 31(4), 307-339. https://doi.org/10.1007/s10614-007-9119-x
  5. Hu, J. W-S., Hu, Y-C., & Tsai, A. C-H. (2018). Multiple Criteria Decision Making and General Regression for Determining Influential Factors on S&P 500 Index Futures. Symmetry; Basel, 10(1), 5. https://doi.org/10.3390/sym10010005
  6. Khair, M. A. (2018). Security-Centric Software Development: Integrating Secure Coding Practices into the Software Development Lifecycle. Technology & Management Review, 3, 12-26. https://upright.pub/index.php/tmr/article/view/124
  7. Mullangi, K. (2017). Enhancing Financial Performance through AI-driven Predictive Analytics and Reciprocal Symmetry. Asian Accounting and Auditing Advancement, 8(1), 57–66. https://4ajournal.com/article/view/89
  8. Ramon-Jeronimo, J. M., & Florez-Lopez, R. (2018). What Makes Management Control Information Useful in Buyer-supplier Relationships? Journal of Risk and Financial Management, 11(3). https://doi.org/10.3390/jrfm11030031
  9. Sandu, A. K., Surarapu, P., Khair, M. A., & Mahadasa, R. (2018). Massive MIMO: Revolutionizing Wireless Communication through Massive Antenna Arrays and Beamforming. International Journal of Reciprocal Symmetry and Theoretical Physics, 5, 22-32. https://upright.pub/index.php/ijrstp/article/view/125
  10. Shajahan, M. A. (2018). Fault Tolerance and Reliability in AUTOSAR Stack Development: Redundancy and Error Handling Strategies. Technology & Management Review, 3, 27-45. https://upright.pub/index.php/tmr/article/view/126
  11. Tejani, J. G. (2017). Thermoplastic Elastomers: Emerging Trends and Applications in Rubber Manufacturing. Global Disclosure of Economics and Business, 6(2), 133-144. https://doi.org/10.18034/gdeb.v6i2.737
  12. Yan, X. M. (2013). Finance Mechanism of Industrial Risk Preventing Based on Knowledge Sharing: A Dissipative Theory Perspective. Applied Mechanics and Materials, 409-410, 1515. https://doi.org/10.4028/www.scientific.net/AMM.409-410.1515
  13. Ying, D., Patel, B., & Dhameliya, N. (2017). Managing Digital Transformation: The Role of Artificial Intelligence and Reciprocal Symmetry in Business. ABC Research Alert, 5(3), 67–77. https://doi.org/10.18034/ra.v5i3.659

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