scholarly journals Relação entre estrutura de capital e estrutura de propriedade em empresas brasileiras: Trade-Off Decision Analysis

2021 ◽  
Vol 22 ◽  
pp. 1-20
Author(s):  
Darclê Costa Silva Haussmann Silva Haussmann ◽  
Mara Vogt ◽  
Nelson Hein ◽  
Adriana Kroenke Hein
Keyword(s):  
Decision Analysis ◽  
Trade Off

Este estudo analisou a relação entre a estrutura de capital e a estrutura de propriedade das empresas brasileiras dos setores de metalurgia e siderurgia. A amostra da pesquisa foi composta por todas as empresas dos setores de metalurgia e siderurgia disponíveis na BM&FBovespa, no período de 2011 a 2015. A estrutura de capital foi mensurada a partir das variáveis de endividamento a curto prazo, a longo prazo e total. Para a estrutura de propriedade foram utilizados os cinco maiores acionistas em quantidade total de participação. Os grupos foram comparados por meio de rankings utilizando-se o método multicritério Trade-Off Decision Analysis (T-ODA). Os resultados mostram que no ranking geral as empresas apresentaram posições diferentes, quando comparado o ranking da estrutura de capital com o ranking da estrutura de propriedade. Pode se inferir, por tanto, que a estrutura de capital e a estrutura de propriedade não estão associadas. Igualmente, mostra-se que o grau de endividamento não tem relação com a principal posição acionária das empresas, podendo inclusive seguir em direções opostas.

TODA

2018 ◽  
Vol 10 (1) ◽  
pp. 1-20 ◽  
Author(s):  
Cida Sanches ◽  
Samuel Ferreira Jr ◽  
Givaldo Santos ◽  
Marisa Regina Paixão ◽  
Manuel Meireles
Keyword(s):  
Decision Analysis ◽  
Objective Function ◽  
Analysis Method ◽  
Case Study Method ◽  
Application Process ◽  
Ahp Method ◽  
Trade Off ◽  
Software Application

This paper describes the use and application of the TODA (Trade-off Decision Analysis) method through a case study. The method uses the concept of trade-off applied to a prioritization matrix and, to define the weights, it takes the concept of causality into account. Studies have shown that the TODA achieves the same results as the competing AHP method. However, it is easier to operate. The methodology used is a case study concerning the choice of the type of car for a fleet of vehicles to be driven by salespeople. Together with the software application process, the methods that aided the weighting of the criteria are described and how the values of the alternatives are converted into coefficients of the objective function. The results clearly show that the method is easily applied, but the limitations of the case study method preclude forming generalizations.

scholarly journals Risk Attitude in Multicriteria Decision Analysis: A Compromise Approach

2021 ◽  
Vol 18 (12) ◽  
pp. 6536
Author(s):  
Juan Ribes ◽  
Jacinto González-Pachón
Keyword(s):  
Decision Analysis ◽  
Multicriteria Decision Making ◽  
Risk Attitude ◽  
Decision Makers ◽  
Random Component ◽  
Relevant Factor ◽  
Trade Off ◽  
Multicriteria Decision ◽  
Lower Uncertainty ◽  
Selection Of

In fields on which decisions need to be taken including health, as we are seeing nowadays in the COVID-19 crisis, decision-makers face multiple criteria and results with a random component. In stochastic multicriteria decision-making models, the risk attitude of the decision maker is a relevant factor. Traditionally, the shape of a utility function is the only element that represents the decision maker’s risk attitude. The eduction process of multi-attribute utility functions implies some operational drawbacks, and it is not always easy. In this paper, we propose a new element with which the decision maker’s risk attitude can be implemented: the selection of the stochastic efficiency concept to be used during a decision analysis. We suggest representing the risk attitude as a conflict between two poles: risk neutral attitude, associated with best expectations, and risk aversion attitude, associated with a lower uncertainty. The Extended Goal Programming formulation has inspired the parameter that is introduced in a new risk attitude formulation. This parameter reflects the trade-off between the two classical poles with respect to risk attitude. Thus, we have produced a new stochastic efficiency concept that we call Compromise Efficiency.

Decision analysis of the elderly participating in the housing reverse mortgage: Based on bequest motivation constraint

2021 ◽  
Vol 40 (4) ◽  
pp. 8569-8586
Author(s):  
Ping Wang ◽  
Wei Han
Keyword(s):  
Decision Analysis ◽  
Decision Rule ◽  
Senior Citizens ◽  
The Elderly ◽  
Value Change ◽  
Reverse Mortgage ◽  
Trade Off ◽  
Expectation Value ◽  
Important Constraint ◽  
Actuarial Model

From the perspective of consumption preference and bequest preference, this paper constructs a financial actuarial model and studies thelifetime value change of senior citizens to participate in housing reverse mortgage(HRM). The research results are as follows: (1) The trade-off between changes in the value of consumption and inheritance is the main decision rule to participate in housing reverse mortgage(HRM), and the intensity of bequest motivation is an important constraint mechanism to the lifetime expectation value of the senior citizensparticipating in housing reverse mortgage(HRM); (2) When the bequest motivation of the elderly is relatively weak, the elderly have conversely strong consumption preference, and the elderly participating in the non-redemption HRM can obtain higher lifelong value change; (3) When the bequest motivation of the elderly is relatively strong, the elderly have correspondingly strong bequest preference. Participating in the HRM with redemption option can realize the option of retaining part of the heritage value and reduce the volatility of heritage loss. Therefore, the restriction of bequest motivation on the demand of the elderly can be reduced to a certain extent, which is more suitable for the retired residents with strong heritage motivation.

scholarly journals Moving from One Site to Multi-Site Vulnerability Studies: Decision Analysis for Trade-off Between Risks and Benefits

2019 ◽  
Vol 2 (1) ◽  
pp. 15-21
Author(s):  
Seyed Mojtaba Hoseyni ◽  
Anna Calissano
Keyword(s):  
Decision Analysis ◽  
Spare Parts ◽  
Gas Production ◽  
Decision Makers ◽  
Optimal Decision ◽  
Tree Analysis ◽  
Trade Off ◽  
Maintenance Strategies ◽  
Risks And Benefits ◽  
The Impact

This paper provides a vulnerability study for a gas production site. Decision tree analysis is implemented to provide risk-informed decisions on the maintenance strategies to minimize the unavailability and downtime costs. In this context, the decision analysis assesses the impact on the availability of the plant after having decided to buy some spare parts to mitigate the criticality of some equipment. This will help the decision makers to make an optimal decision before spending their budget on buying the spare parts while they can reliably forecast a maximize davailability. The decision analysis also will move from one site approach to the multi-site vulnerability studies. Result concludes a recommendation for the company on deciding the optimum maintenance strategies and provides a list of required spare parts to be bought in advance to reduce the associated risks and costs.

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