Probability Distributions in Risk Management Operations (Intelligent Systems Reference Library)
暫譯: 風險管理操作中的機率分佈(智慧系統參考文獻庫)
Constantinos Artikis
- 出版商: Springer
- 出版日期: 2016-10-22
- 售價: $6,930
- 貴賓價: 9.5 折 $6,584
- 語言: 英文
- 頁數: 332
- 裝訂: Paperback
- ISBN: 331936202X
- ISBN-13: 9783319362021
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商品描述
This book is about the formulations, theoretical investigations, and practical applications of new stochastic models for fundamental concepts and operations of the discipline of risk management. It also examines how these models can be useful in the descriptions, measurements, evaluations, and treatments of risks threatening various modern organizations. Moreover, the book makes clear that such stochastic models constitute very strong analytical tools which substantially facilitate strategic thinking and strategic decision making in many significant areas of risk management. In particular the incorporation of fundamental probabilistic concepts such as the sum, minimum, and maximum of a random number of continuous, positive, independent, and identically distributed random variables in the mathematical structure of stochastic models significantly supports the suitability of these models in the developments, investigations, selections, and implementations of proactive and reactive risk management operations. The book makes extensive use of integral and differential equations of characteristic functions, mainly corresponding to important classes of mixtures of probability distributions, as powerful analytical tools for investigating the behavior of new stochastic models suitable for the descriptions and implementations of fundamental risk control and risk financing operations. These risk treatment operations very often arise in a wide variety of scientific disciplines of extreme practical importance.
商品描述(中文翻譯)
這本書探討了新隨機模型的公式、理論研究和實際應用,這些模型與風險管理學科的基本概念和操作相關。它還檢視了這些模型如何在描述、測量、評估和處理威脅各種現代組織的風險方面發揮作用。此外,書中明確指出這些隨機模型構成了非常強大的分析工具,能夠顯著促進風險管理中許多重要領域的戰略思考和戰略決策。特別是將基本的概率概念(如隨機數的總和、最小值和最大值)納入隨機模型的數學結構中,顯著支持了這些模型在主動和被動風險管理操作的發展、研究、選擇和實施中的適用性。書中廣泛使用特徵函數的積分和微分方程,主要對應於重要的概率分佈混合類別,作為強大的分析工具,用於研究適合於基本風險控制和風險融資操作描述和實施的新隨機模型的行為。這些風險處理操作經常出現在各種極具實用意義的科學學科中。