{"title":"Giovanni Barone Adesi一分钟","authors":"G. Barone-Adesi","doi":"10.3233/AF-13024","DOIUrl":null,"url":null,"abstract":"In each issue, Algorithmic Finance features a brief interview with one member of our advisory or editorial boards or another leading academic or practitioner. These brief conversations are intended to provide a glimpse of their current thinking. In this issue, we talk with Giovanni Barone-Adesi. – GIOVANNI BARONE-ADESI is professor of finance theory and director at the Swiss Finance Institute, University of Lugano, Switzerland. He studied electrical engineering as an undergraduate at the University of Padova. Later he received a MBA and a PhD from the Graduate Business School at the University of Chicago, specializing in Finance and Statistics. Before moving to Lugano he has taught at the University of Alberta, University of Texas at Austin, the Wharton School of the University of Pennsylvania and City University. His main research interests are derivative securities, asset and risk management. He is the author of several models for valuing and hedging securities. Especially well-known are his contributions with Whaley to the pricing of American commodity options and his filtered simulation approach to the measurement of market risk, developed while advising the London Clearing House. His more recent works concern the pricing of index options, barrier options, and gold derivatives. Currently he is president of Open Capital, a fund management firm. He has been an advisor to several exchanges, financial intermediaries and other business organizations in the areas of risk management and financial strategy. – What are your research interests right now? Currently I am interested in understanding the component of systemic risk due to investors’ behavior, which has been neglected in the literature. Most of the current debate on financial regulation relates to institutions too big to fail. I am old enough to remember the Savings & Loans crisis. The herding behavior of thousands of small institutions may be very destructive. I am trying to model investors’ behavior by proposing a precise definition of sentiment that is econometrically testable, linked to the pricing kernel. Also I am interested in the herding generated by regulation itself. Rules meant to increase safety may force institutions toward holding similar portfolios and also to attempt making simultaneous adjustments. This behavior increases the likelihood of a crash. What do you see as academically exciting? I enjoy financial research because it brings together ideas from a wide variety of academic disciplines. Some of the most innovative theories I am excited about are based on the analysis of the stability of complex systems, the neurological basis of investment decisions, and the legal foundations of financial systems. On a more applied level, I am interested in the design of a new financial architecture to replace the economic functions of the financial system displaced by the new safety regulations. Whenever we say that banks should reduce their exposure to a market, we leave unanswered questions about the financial intermediaries that will replace them. What would you work on if you had lots of time? I would like to work on the design of a safer financial system to support the global economy. I do not believe that it can be achieved simply by plugging existing gaps. It will be the challenge for the next decade. 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引用次数: 0
摘要
在每一期中,Algorithmic Finance都会对我们的顾问或编辑委员会的一位成员或另一位领先的学者或从业者进行简短的采访。这些简短的谈话旨在提供他们当前想法的一瞥。本期,我们将与乔瓦尼·巴隆-阿德西进行对话。- GIOVANNI BARONE-ADESI,金融理论教授,瑞士卢加诺大学瑞士金融研究所所长。他本科在帕多瓦大学学习电气工程。后来,他获得了芝加哥大学研究生商学院的工商管理硕士学位和博士学位,专攻金融和统计。在搬到卢加诺之前,他曾在阿尔伯塔大学、德克萨斯大学奥斯汀分校、宾夕法尼亚大学沃顿商学院和城市大学任教。主要研究方向为衍生证券、资产与风险管理。他是几个证券估值和对冲模型的作者。尤其著名的是他与惠利对美国商品期权定价的贡献,以及他在为伦敦结算所提供咨询服务期间提出的市场风险衡量的过滤模拟方法。他最近的著作涉及指数期权、障碍期权和黄金衍生品的定价。目前,他是Open Capital(一家基金管理公司)的总裁。他曾担任多家交易所、金融中介机构和其他商业组织在风险管理和金融战略领域的顾问。-你现在的研究兴趣是什么?目前我感兴趣的是理解由投资者行为引起的系统性风险的组成部分,这在文献中被忽视了。当前关于金融监管的辩论,大多与那些“大到不能倒”的机构有关。我年纪大了,还记得储贷危机。成千上万的小机构的羊群行为可能是非常具有破坏性的。我试图为投资者的行为建模,方法是对情绪给出一个精确的定义,这个定义在计量经济学上是可检验的,与定价核心相关。此外,我对监管本身产生的羊群效应也很感兴趣。旨在提高安全性的规则可能会迫使机构持有类似的投资组合,并试图同时进行调整。这种行为增加了崩溃的可能性。你认为什么是学术上令人兴奋的?我喜欢金融研究,因为它汇集了各种学科的思想。令我兴奋的一些最具创新性的理论是基于对复杂系统稳定性的分析、投资决策的神经学基础和金融系统的法律基础。在更实用的层面上,我感兴趣的是设计一种新的金融架构,以取代被新的安全法规取代的金融体系的经济功能。每当我们说银行应该减少对市场的敞口时,我们就没有回答将取代它们的金融中介机构的问题。如果你有很多时间,你会做什么?我希望设计一个更安全的金融体系,以支持全球经济。我不相信仅仅通过填补现有的差距就能实现这一目标。这将是未来十年的挑战。然而,现在我把所有的时间都花在了更紧迫的事情上。
In each issue, Algorithmic Finance features a brief interview with one member of our advisory or editorial boards or another leading academic or practitioner. These brief conversations are intended to provide a glimpse of their current thinking. In this issue, we talk with Giovanni Barone-Adesi. – GIOVANNI BARONE-ADESI is professor of finance theory and director at the Swiss Finance Institute, University of Lugano, Switzerland. He studied electrical engineering as an undergraduate at the University of Padova. Later he received a MBA and a PhD from the Graduate Business School at the University of Chicago, specializing in Finance and Statistics. Before moving to Lugano he has taught at the University of Alberta, University of Texas at Austin, the Wharton School of the University of Pennsylvania and City University. His main research interests are derivative securities, asset and risk management. He is the author of several models for valuing and hedging securities. Especially well-known are his contributions with Whaley to the pricing of American commodity options and his filtered simulation approach to the measurement of market risk, developed while advising the London Clearing House. His more recent works concern the pricing of index options, barrier options, and gold derivatives. Currently he is president of Open Capital, a fund management firm. He has been an advisor to several exchanges, financial intermediaries and other business organizations in the areas of risk management and financial strategy. – What are your research interests right now? Currently I am interested in understanding the component of systemic risk due to investors’ behavior, which has been neglected in the literature. Most of the current debate on financial regulation relates to institutions too big to fail. I am old enough to remember the Savings & Loans crisis. The herding behavior of thousands of small institutions may be very destructive. I am trying to model investors’ behavior by proposing a precise definition of sentiment that is econometrically testable, linked to the pricing kernel. Also I am interested in the herding generated by regulation itself. Rules meant to increase safety may force institutions toward holding similar portfolios and also to attempt making simultaneous adjustments. This behavior increases the likelihood of a crash. What do you see as academically exciting? I enjoy financial research because it brings together ideas from a wide variety of academic disciplines. Some of the most innovative theories I am excited about are based on the analysis of the stability of complex systems, the neurological basis of investment decisions, and the legal foundations of financial systems. On a more applied level, I am interested in the design of a new financial architecture to replace the economic functions of the financial system displaced by the new safety regulations. Whenever we say that banks should reduce their exposure to a market, we leave unanswered questions about the financial intermediaries that will replace them. What would you work on if you had lots of time? I would like to work on the design of a safer financial system to support the global economy. I do not believe that it can be achieved simply by plugging existing gaps. It will be the challenge for the next decade. However now I am spending all of my time on more immediate concerns.
期刊介绍:
Algorithmic Finance is both a nascent field of study and a new high-quality academic research journal that seeks to bridge computer science and finance. It covers such applications as: High frequency and algorithmic trading Statistical arbitrage strategies Momentum and other algorithmic portfolio management Machine learning and computational financial intelligence Agent-based finance Complexity and market efficiency Algorithmic analysis of derivatives valuation Behavioral finance and investor heuristics and algorithms Applications of quantum computation to finance News analytics and automated textual analysis.