The paper investigates a decision criterion for structured bonds portfolio choices. The main issue is the application of risk adjusted indicators as tools to select either the asset portfolio given a structured bond, or the bond structure given an existing coverage asset portfolio. Such indicator is suitable for the appraisal of both portfolio management and potential profits of the structured issue. The selection tool is put into an asset and liability management decision making context, where the relationship between the expected profit and the capital at risk are compared in order to evaluate the issue of the bond and the expected rate of return of the whole portfolio. The case is referred to an equity linked bond and is treated by means of Monte Carlo simulations to identify the best portfolio according to the issuer targets and constraints.
Managing structured bonds: An analysis using RAROC and EVA / Cocozza, Rosa; Orlando, Albina. - In: JOURNAL OF RISK MANAGEMENT IN FINANCIAL INSTITUTIONS. - ISSN 1752-8887. - STAMPA. - 2:4(2009), pp. 409-426.
Managing structured bonds: An analysis using RAROC and EVA
COCOZZA, ROSA;ORLANDO, ALBINA
2009
Abstract
The paper investigates a decision criterion for structured bonds portfolio choices. The main issue is the application of risk adjusted indicators as tools to select either the asset portfolio given a structured bond, or the bond structure given an existing coverage asset portfolio. Such indicator is suitable for the appraisal of both portfolio management and potential profits of the structured issue. The selection tool is put into an asset and liability management decision making context, where the relationship between the expected profit and the capital at risk are compared in order to evaluate the issue of the bond and the expected rate of return of the whole portfolio. The case is referred to an equity linked bond and is treated by means of Monte Carlo simulations to identify the best portfolio according to the issuer targets and constraints.File | Dimensione | Formato | |
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