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首页> 外文期刊>Journal of decision systems >A multi-dimensional decision framework to support corporate bond investment
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A multi-dimensional decision framework to support corporate bond investment

机译:支持公司债券投资的多维决策框架

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This paper constructs a multi-dimensional decision framework to support investment in corporate bonds. The Analytic Hierarchy Process (AHP) is first customized to accommodate six fundamental criteria governing investor behaviour. It is then shown that, after pairwise comparison of criteria and asset alternatives at appropriate framework levels, a set of weights can be calculated to prioritize the different bonds and allocate wealth over a portfolio which is best in terms of judgmental conformity with the individual's investment goal and investment criteria. Apart from the practical advantages following from ready operation-alization and computation, our framework is analytically grounded on the Nobel Prize-winning paradigms of bounded rationality and rational expectations. In particular, an index can be obtained to test for sufficient decision consistency on the part of the bounded-rational individual, and a method is offered to rationally and operationally model changes in investor preferences, perceptions, and expectations under market dynamics and the impact of such changes on the demand for corporate bonds.
机译:本文构建了一个多维决策框架来支持对公司债券的投资。首先对分析层次流程(AHP)进行自定义,以适应管理投资者行为的六个基本标准。然后表明,在适当的框架级别上对标准和资产替代方案进行成对比较之后,可以计算出一组权重,以对不同的债券进行优先排序,并将财富分配给投资组合,这在判断上是否符合个人投资目标方面是最佳的和投资标准。除了可以立即进行操作化和计算而带来的实际优势外,我们的框架还以有限理性和理性期望的诺贝尔奖获奖范式为分析基础。特别是,可以获取一个指数以测试有限理性个体的足够决策一致性,并提供一种方法来合理和可操作地对在市场动态和市场影响下投资者偏好,看法和期望的变化进行建模。这种对公司债券需求的变化。

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