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第14讲-量化不确定性和风险

Lecture 14 - Quantifying Uncertainty and Risk
课程网址: http://videolectures.net/yalemecon251f09_geanakoplos_lec14/  
主讲教师: John Geanakoplos
开课单位: 耶鲁大学
开课时间: 2012-03-17
课程语种: 英语
中文简介:
到目前为止,我们在本课程中使用的模型都集中在每个人都能完美预测未来经济状况的情况下。显然,要理解金融市场,我们必须将不确定性纳入这些模型。本课程的前半部分将继续回顾我们需要认真思考不确定性的关键统计概念,包括预期、方差和协方差。我们应用这些概念来展示多元化如何降低风险敞口。接下来,我们将展示如何通过时间迭代期望值来快速计算条件期望值:如果你认为洋基队有60%的机会赢得对道奇队的任何一场比赛,那么当洋基队以2比1领先时,他们赢得七场系列赛的几率有多大?最后,根据欧文·费舍尔(Irving Fisher)的观点,利率是经济中最重要的变量,我们允许利率不确定。我们会问,利率的不确定性是否会使美元在遥远的未来变得更有价值或更不值钱。
课程简介: Until now, the models we've used in this course have focused on the case where everyone can perfectly forecast future economic conditions. Clearly, to understand financial markets, we have to incorporate uncertainty into these models. The first half of this lecture continues reviewing the key statistical concepts that we'll need to be able to think seriously about uncertainty, including expectation, variance, and covariance. We apply these concepts to show how diversification can reduce risk exposure. Next we show how expectations can be iterated through time to rapidly compute conditional expectations: if you think the Yankees have a 60% chance of winning any game against the Dodgers, what are the odds the Yankees will win a seven game series once they are up 2 games to 1? Finally we allow the interest rate, the most important variable in the economy according to Irving Fisher, to be uncertain. We ask whether interest rate uncertainty tends to make a dollar in the distant future more valuable or less valuable.
关 键 词: 预测未来经济状况; 不确定性的关键统计概念; 金融市场
课程来源: 视频讲座网
数据采集: 2021-11-02:zkj
最后编审: 2021-11-02:zkj
阅读次数: 50