A Minute with Kenneth J. Arrow

IF 0.3 Q4 BUSINESS, FINANCE Algorithmic Finance Pub Date : 2014-01-01 DOI:10.3233/AF-140035
Philip Z. Maymin
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引用次数: 0

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 Kenneth J. Arrow. Kenneth J. Arrow is the Joan Kenney Professor of Economics and Professor of Operations Research, emeritus; a CHP/PCOR fellow; and an FSI senior fellow by courtesy. He is a Nobel Prize-winning economist whose work has been primarily in economic theory and operations research, focusing on areas including social choice theory, risk bearing, medical economics, general equilibrium analysis, inventory theory, and the economics of information and innovation. He was one of the first economists to note the existence of a learning curve, and he also showed that under certain conditions an economy reaches a general equilibrium. In 1972, together with Sir John Hicks, he won the Nobel Prize in economics for his pioneering contributions to general equilibrium theory and welfare theory. To date, he is still the youngest person ever to receive that award. Arrow has served on the economics faculties of the University of Chicago, Harvard and Stanford. Prior to that, he served as a weather officer in the U.S. Air Corps (1942–1946), and a research associate at the Cowles Commission for Research in Economics (1947–1949). In addition to the Nobel Prize, he has received the American Economic Association’s John Bates Clark Medal and was a recipient of the 2004 National Medal of Science, presented by President George W. Bush for his contributions to research on the problem of making decisions using imperfect information and his research on bearing risk. He is a member of the National Academy of Sciences and the Institute of Medicine. He received a BS from City College, an MA and PhD from Columbia University, and holds approximately 20 honorary degrees.
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《一分钟与肯尼斯·j·阿罗
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。在这一期,我们与肯尼斯J.阿罗谈话。肯尼斯·j·阿罗是琼·肯尼经济学和运筹学名誉教授;CHP/PCOR研究员;还是FSI的高级研究员他是诺贝尔经济学奖得主,主要从事经济理论和运筹学研究,研究领域包括社会选择理论、风险承担、医学经济学、一般均衡分析、库存理论以及信息和创新经济学。他是最早注意到学习曲线存在的经济学家之一,他还表明,在某些条件下,经济会达到一般均衡。1972年,他因在一般均衡理论和福利理论方面的开创性贡献,与约翰•希克斯爵士(Sir John Hicks)一起获得诺贝尔经济学奖。到目前为止,他仍然是获得该奖项最年轻的人。阿罗曾任职于芝加哥大学、哈佛大学和斯坦福大学经济系。在此之前,他曾在美国空军担任气象官(1942-1946),并在考尔斯经济研究委员会担任研究员(1947-1949)。除了诺贝尔奖,他还获得了美国经济协会的约翰·贝茨·克拉克奖章,并获得了2004年由乔治·w·布什总统颁发的国家科学奖章,以表彰他对利用不完全信息做出决策问题的研究以及他对承担风险的研究的贡献。他是美国国家科学院和医学研究所的成员。他获得了城市学院的学士学位,哥伦比亚大学的硕士和博士学位,并拥有大约20个荣誉学位。
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来源期刊
Algorithmic Finance
Algorithmic Finance BUSINESS, FINANCE-
CiteScore
0.40
自引率
0.00%
发文量
6
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.
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