交易员会变成流氓吗?流氓会成为交易者吗?Jerome的Om和Kerviel的Karma…

R. Kashyap
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引用次数: 1

摘要

我们以兴业银行(societe Generale)交易员杰罗姆•科维尔(Jerome Kerviel)为例,研究他如何累积头寸,远远超过授权的风险限制,导致巨额亏损,并在此过程中成为有史以来最大流氓交易丑闻的肇事者。我们关注金融市场的许多方面,并试图通过考虑一些历史事件和为流氓交易者提供另一种定义来为程序提供适当的背景。我们着眼于组织结构、交易利润、风险管理、监管以及其中出现的许多冲突,重点关注科维尔和他的直接环境。我们为崭露头角的流氓交易者提供了一个简单的指南,也可以帮助有抱负的控制代理。最后,我们将深入探讨与流氓交易有关的道德问题,并提供可能的方法来减轻(如果不能解决)在商业、生活和其他任何地方出现的许多道德困境。我们讨论的一些话题是:开始和最后的笑话;历史:一个由赢家构建的产品;侠盗一号(独自一人?)部门心理深入(?);管制人员的供词;在紧绳子上慢慢走;巴塞尔玻璃城堡;“e”代表Everything, Everyone, Everywhere…包括进化论、教育和伦理学;《尼克·李森的病课》;流氓交易指南傻瓜;数学上复杂的模型还是仅仅高尚的道德?
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Do Traders Become Rogues? or Do Rogues Become Traders? The Om of Jerome and The Karma of Kerviel…
We present a case study of Jerome Kerviel, a trader at Society Generale, and how he racked up positions far exceeding his authorized risk limits resulting in a spectacular loss and in the process becoming the perpetrator of the biggest rogue trading scandal, thus far, in recorded history. We focus on many aspects of the financial markets and attempt to provide an appropriate context to the proceedings by considering some historical matters and providing an alternate definition for a rogue trader. We look at the organization structure, trading profits, risk management, regulation and the many conflicts that arise therein with some focus on Kerviel and his immediate environment. We provides a simple guide for the budding rogue trader that could also be helpful for the aspiring control agent. We conclude by delving deeper into the ethical issues regarding rogue trading and provide possible ways to mitigate if not resolve the many moral dilemmas that arise in business, life and everywhere else.

Some of the topics we discuss are: A Joke at First and Also at Last; History: A Product Structured by Winners; Rogue One (Alone?) on Delta One; Depart-Mental Drill Down (?); Confessions of The Control Agents; A Slow Walk On A Tight Rope; The Glass Castle Called Basel; “e” for Everything, Everyone, Everywhere ... including Evolution, Education and Ethics; Sick Lesson from Nick Leeson; Rogue Trading Guide for Dummies; Mathematically Sophisticated Models or Merely Superior Morals?
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