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American Journal of Business and Operations Research
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Title

Predictive Analytics for Financial Risk Management in Dynamic Markets

  Serkan Yilmaz Kandir 1 * ,   Murat Ismet Haseki 2

1  Faculty of Economics and Administrative Sciences, Adana, Turkey
    (skandir@cu.edu.tr)

2  Faculty of economics and administrative sciences, Cukurova University, Adana, Turkey
    (mhaseki@cu.edu.tr)


Doi   :   https://doi.org/10.54216/AJBOR.110106

Received: May 17, 2023 Revised: October 08, 2023 Accepted: December 07, 2023

Abstract :

effective risk management is an indispensable requirement for improving the flow of transactions in dynamic financial markets. To this end, this study presents an applied predictive analytics methodology, that integrate gradient boosting algorithm to model the risk behavior in dynamic markets. This study, based on predictive analytics in monetary and financial systems, faces an urgent need for robust models that can overcome the uncertainties inherent in dynamic markets. Holistic experimentations on public case study of U.S retail data demonstrate the predictive power of the proposed approach of the state-of-the-art techniques across different performance metrics. This in turn highlights the nuanced interaction between variables and delivering intuitions into crucial risk determining factor.

Keywords :

Business Intelligence; Machine Learning; Risk Managements; Market Analysis; Predictive Modeling

References :

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Cite this Article as :
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MLA Serkan Yilmaz Kandir, Murat Ismet Haseki. "Predictive Analytics for Financial Risk Management in Dynamic Markets." American Journal of Business and Operations Research, Vol. 11, No. 1, 2024 ,PP. 54-61 (Doi   :  https://doi.org/10.54216/AJBOR.110106)
APA Serkan Yilmaz Kandir, Murat Ismet Haseki. (2024). Predictive Analytics for Financial Risk Management in Dynamic Markets. Journal of American Journal of Business and Operations Research, 11 ( 1 ), 54-61 (Doi   :  https://doi.org/10.54216/AJBOR.110106)
Chicago Serkan Yilmaz Kandir, Murat Ismet Haseki. "Predictive Analytics for Financial Risk Management in Dynamic Markets." Journal of American Journal of Business and Operations Research, 11 no. 1 (2024): 54-61 (Doi   :  https://doi.org/10.54216/AJBOR.110106)
Harvard Serkan Yilmaz Kandir, Murat Ismet Haseki. (2024). Predictive Analytics for Financial Risk Management in Dynamic Markets. Journal of American Journal of Business and Operations Research, 11 ( 1 ), 54-61 (Doi   :  https://doi.org/10.54216/AJBOR.110106)
Vancouver Serkan Yilmaz Kandir, Murat Ismet Haseki. Predictive Analytics for Financial Risk Management in Dynamic Markets. Journal of American Journal of Business and Operations Research, (2024); 11 ( 1 ): 54-61 (Doi   :  https://doi.org/10.54216/AJBOR.110106)
IEEE Serkan Yilmaz Kandir, Murat Ismet Haseki, Predictive Analytics for Financial Risk Management in Dynamic Markets, Journal of American Journal of Business and Operations Research, Vol. 11 , No. 1 , (2024) : 54-61 (Doi   :  https://doi.org/10.54216/AJBOR.110106)