英文标题：
《Exact probability distribution function for the volatility of cumulative
production》
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作者：
Rubina Zadourian and Andreas Kl\\\"umper
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最新提交年份：
2017
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英文摘要：
In this paper we study the volatility and its probability distribution function for the cumulative production based on the experience curve hypothesis. This work presents a generalization of the study of volatility in [1], which addressed the effects of normally distributed noise in the production process. Due to its wide applicability in industrial and technological activities we present here the mathematical foundation for an arbitrary distribution function of the process, which we expect will pave the future research on production and market strategy.
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中文摘要：
本文基于经验曲线假设，研究了累积产量的波动率及其概率分布函数。这项工作概括了文献[1]中的波动性研究，该研究解决了生产过程中正态分布噪声的影响。由于其在工业和技术活动中的广泛适用性，我们在此提出了该过程任意分布函数的数学基础，我们期望这将为未来的生产和市场策略研究奠定基矗
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分类信息：

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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