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Computational approaches and data analytics in financial services

机译:金融服务中的计算方法和数据分析

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摘要

Over the past decades, the field of finance has evolved rapidly, driven by advances in information technology and the introduction of financial innovations involving new financial products and services. Nowadays, the sector of financial services faces many opportunities as well as major challenges. On the one hand, there is a plethora of investment and financing options for investors and corporations. On the other hand, the complexity of financial products and services has increased considerably, and financial markets are exposed to global systemic risks arising from economic and geopolitical factors. Moreover, in the era of big data, enormous amounts of information are available for designing and providing customised financial solutions as well as for understanding the deep uncertainties involved in financial decision-making. In this context, analytical approaches have become indispensable tools for descriptive, prescriptive, and predictive financial modelling. Such approaches cover a wide range of areas in operational research and other related fields.
机译:在过去的几十年中,金融领域已经发展迅速,受信息技术的进步和引入涉及新的金融产品和服务的金融创新。如今,金融服务部门面临着许多机会以及重大挑战。一方面,投资者和公司有过多的投资和融资选择。另一方面,金融产品和服务的复杂性大大增加,金融市场暴露于经济和地缘政治因素产生的全球系统风险。此外,在大数据的时代,可供选择和提供定制的金融解决方案,以了解财务决策中涉及的深度不确定性,可提供大量信息。在这种情况下,分析方法已经成为描述性,规范性和预测金融建模的不可或缺的工具。这些方法涵盖了操作研究和其他相关领域的广泛领域。

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