社论:金融数学与定量金融专刊

IF 0.9
Song‐Ping Zhu, Xiaoping Lu, Xin‐Jiang He
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引用次数: 0

摘要

由于过去二十年来全球金融衍生品市场的巨大扩张,世界金融市场与定量金融学科之间的联系变得越来越清晰。定量金融在很大程度上是基于数学和统计学的。为了理解重要而复杂的市场行为,世界各地的数学家和统计学家提出了许多随机和计算方法,可用于解决现代金融中遇到的一些相当具有挑战性的问题。本特刊收录了2020年1月6日至10日在中国三亚举行的第二届国际数学金融偏微分方程与随机分析研讨会的论文选集。本期特刊的编辑团队由朱松平教授、卢小平博士、贺鑫江博士组成,他们在2020年1月召开研讨会之前就已提出论文征集,特别感兴趣的主题包括但不限于:
本文章由计算机程序翻译,如有差异,请以英文原文为准。
EDITORIAL: SPECIAL ISSUE ON FINANCIAL MATHEMATICS AND QUANTITATIVE FINANCE
The nexus between world financial markets and the discipline of quantitative finance, which is heavily based on mathematics and statistics, has become increasingly clearer as a result of enormously expanded global financial derivative markets over the past two decades. To understand important and yet complicated market behaviours, mathematicians and statisticians worldwide have proposed many stochastic and computational methods that can be applied to address some quite challenging issues encountered in modern finance. This special issue contains selected papers submitted by participants of the 2nd International Symposium on Partial Differential Equations & Stochastic Analysis in Mathematical Finance, held during 6–10 January 2020 at Sanya, China. The editorial team for this special issue consists of Professor Song-Ping Zhu, Dr. Xiaoping Lu and Dr. Xin-Jiang He, who had called for submission of papers before the symposium took place in January 2020 with topics of special interest including, but not limited to:
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