Ann Oper Res (2018) 266:1–4 https://doi.org/10.1007/s10479-018-2892-1 EDITORIAL Preface: analytical models for ﬁnancial modeling and risk management 1,2 1 Constantin Zopounidis · Michalis Doumpos · Kyriaki Kosmidou Published online: 17 May 2018 © Springer Science+Business Media, LLC, part of Springer Nature 2018 Banks, ﬁnancial institutions, and companies have developed ﬁnancial modeling worldwide, and risk management techniques and processes have been adopted by businesses to implement risk-based policies and practices. Financial modeling and risk management are of great interest since they combine the principles of fundamental science and real-world applications. The level of sophistication of ﬁnancial modeling tools, techniques, and approaches has increased considerably over the past couple of decades, driven by the experiences gained from responding to turmoil and crises, the strengthening of regulatory requirements, the adoption of new technological advances, and the introduction of new ﬁnancial products and instruments. Analytical techniques are of paramount importance in ﬁnancial modeling and decision-making. Operations research/management science and other related analytical disciplines are highly relevant to this area, providing the means for normative, descriptive, prescriptive, and predictive modeling. This special volume, was prepared on the occasion of the 6th International Conference of the Financial Engineering and Banking Society, which was held in Malaga,
Annals of Operations Research – Springer Journals
Published: May 17, 2018
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