英文标题：
《The Martin Integral Representation of Markovian Pricing Kernels》
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作者：
Hyungbin Park
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最新提交年份：
2015
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英文摘要：
The purpose of this article is to describe all possible beliefs of market participants on objective measures under Markovian environments when a risk-neutral measure is given. To achieve this, we employ the Martin integral representation of Markovian pricing kernels. Then, we offer economic and financial implications of this representation. This representation is useful to analyze the long-term behavior of the state variable in the market. The Ross recovery theorem and the long-term behavior of cash flows are discussed as applications.
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中文摘要：
本文的目的是描述在马尔可夫环境下，当给出风险中性度量时，市场参与者对客观度量的所有可能信念。为了实现这一点，我们使用马尔可夫定价核的马丁积分表示。然后，我们提供这种表述的经济和财务影响。这种表示法有助于分析市场中状态变量的长期行为。作为应用，讨论了罗斯恢复定理和现金流的长期行为。
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分类信息：

一级分类：Quantitative Finance 数量金融学
二级分类：Mathematical Finance 数学金融学
分类描述：Mathematical and analytical methods of finance, including stochastic, probabilistic and functional analysis, algebraic, geometric and other methods
金融的数学和分析方法，包括随机、概率和泛函分析、代数、几何和其他方法
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一级分类：Mathematics 数学
二级分类：Probability 概率
分类描述：Theory and applications of probability and stochastic processes: e.g. central limit theorems, large deviations, stochastic differential equations, models from statistical mechanics, queuing theory
概率论与随机过程的理论与应用：例如中心极限定理，大偏差，随机微分方程，统计力学模型，排队论
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