《Financial bubbles: mechanisms and diagnostics》
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作者:
Didier Sornette and Peter Cauwels (ETH Zurich)
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最新提交年份:
2014
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英文摘要:
We define a financial bubble as a period of unsustainable growth, when the price of an asset increases ever more quickly, in a series of accelerating phases of corrections and rebounds. More technically, during a bubble phase, the price follows a faster-than-exponential power law growth process, often accompanied by log-periodic oscillations. This dynamic ends abruptly in a change of regime that may be a crash or a substantial correction. Because they leave such specific traces, bubbles may be recognised in advance, that is, before they burst. In this paper, we will explain the mechanism behind financial bubbles in an intuitive way. We will show how the log-periodic power law emerges spontaneously from the complex system that financial markets are, as a consequence of feedback mechanisms, hierarchical structure and specific trading dynamics and investment styles. We argue that the risk of a major correction, or even a crash, becomes substantial when a bubble develops towards maturity, and that it is therefore very important to find evidence of bubbles and to follow their development from as early a stage as possible. The tools that are explained in this paper actually serve that purpose. They are at the core of the Financial Crisis Observatory at the ETH Zurich, where tens of thousands of assets are monitored on a daily basis. This allow us to have a continuous overview of emerging bubbles in the global financial markets. The companion report available as part of the Notenstein white paper series (2014) with the title ``Financial bubbles: mechanism, diagnostic and state of the World (Feb. 2014)\'\' presents a practical application of the methodology outlines in this article and describes our view of the status concerning positive and negative bubbles in the financial markets, as of the end of January 2014.
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中文摘要:
我们将金融泡沫定义为一段不可持续的增长期,即资产价格以前所未有的速度上涨,出现一系列加速修正和反弹的阶段。更严格地说,在泡沫阶段,价格遵循比指数幂律更快的增长过程,通常伴随着对数周期振荡。这种动态在政权更迭中突然结束,这可能是一场崩溃或实质性的调整。因为它们会留下特定的痕迹,所以泡沫可能会提前被识别出来,也就是说,在它们破裂之前。在本文中,我们将以直观的方式解释金融泡沫背后的机制。我们将展示对数周期幂律是如何从金融市场的复杂系统中自发产生的,这是反馈机制、层级结构、特定的交易动态和投资风格的结果。我们认为,当泡沫发展到成熟期时,出现重大调整甚至崩溃的风险变得很大,因此,找到泡沫的证据并尽可能早地跟踪其发展非常重要。本文介绍的工具实际上就是为了达到这个目的。它们是苏黎世ETH金融危机观察站的核心,每天都有数万项资产受到监控。这使我们能够对全球金融市场正在出现的泡沫有一个持续的概述。作为Notenstein白皮书系列(2014)的一部分,标题为“金融泡沫:机制、诊断和世界状况(2014年2月)”的配套报告介绍了本文所述方法的实际应用,并描述了我们对截至2014年1月底金融市场正泡沫和负泡沫状况的看法。
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分类信息:
一级分类:Quantitative Finance 数量金融学
二级分类:Risk Management 风险管理
分类描述:Measurement and management of financial risks in trading, banking, insurance, corporate and other applications
衡量和管理贸易、银行、保险、企业和其他应用中的金融风险
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一级分类:Quantitative Finance 数量金融学
二级分类:General Finance 一般财务
分类描述:Development of general quantitative methodologies with applications in finance
通用定量方法的发展及其在金融中的应用
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