A behavioral approach to inconsistencies in intertemporal choices with the Analytic Hierarchy Process methodology

Ventre, Viviana; Rambaud, Salvador Cruz; Martino, Roberta; Maturo, Fabrizio

doi:10.1007/s10436-022-00419-6

Cited by 5 publications

(6 citation statements)

References 12 publications

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“…The work presented has several original and useful aspects to support the process of profiling and selecting customised alternatives. The methodology is based on the extension of a previously used hierarchical approach [11,29,40,47]. In previous work, the hierarchical structure made it possible to extrapolate information that helped to successfully enrich the relationships between individual characteristics.…”

Section: Discussionmentioning

confidence: 99%

“…The greater accuracy of the assessments is linked in particular to the possibility of being able to include dependencies and interdependencies while simultaneously considering the individual in all its many nuances. To emphasise the importance of this aspect, it was analysed in [29] how individuals with the same dominant temperament as Kersey may take different attitudes to the second dominant trait. The second element that characterises the originality of this work is the inclusion of measures related to the context of uncertainty, which is treated separately from risk.…”

Section: Discussionmentioning

confidence: 99%

“…To improve profiling, behavioural finance research, which highlights the importance of cognitive and behavioural attitudes in obtaining a rich description of the decisionmaker, should be added to the previous five classes [27]. In addition, recent research has demonstrated a quantifiable cognitive dimension when evaluating temporal alternatives under uncertainty [18,28,29]. Thus, other clusters can be included and implemented to include behavioural finance studies and the dimension of uncertainty in decision-making.…”

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confidence: 99%

“…Temperaments are related to the degree to which impatience and the degree of uncertainty aversion decrease as they relate to behavioural biases [38] that underline anomalous preferences [29];…”

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confidence: 99%

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An Analytic Network Process to Support Financial Decision-Making in the Context of Behavioural Finance

Martino,

Ventre

2023

Mathematics

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Following the financial crisis of the last decade and the increasing complexity of financial products, the European Union has introduced investor protection tools that require professionals to carry out a client profiling process. The aim is to offer products that are in line with the characteristics of the individual. The classes of variables for comprehensive profiling are obtained by matching the elements proposed by the Markets in Financial Instruments Directive and studies of classical finance. However, behavioural finance studies, which emphasise the importance of behavioural attitudes, are not clearly considered in this structured profiling. The present paper discusses the implementation of an analytic network process to support financial decision-making in a behavioural context, combining regulatory guidance and qualitative and quantitative evidence from the literature. The Kersey Temperament Model is used as the behavioural model to construct the network cluster that incorporates personality into the valuation. Uncertainty management is incorporated through recent studies in the context of intertemporal choice theory. The functionality of the network is verified through a case study, where two alternatives with different characteristics are considered to meet the same investment objective. The present approach proves how the generated structure can provide strong support for financial decision-making.

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

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confidence: 99%

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confidence: 99%

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An Analytic Network Process to Support Financial Decision-Making in the Context of Behavioural Finance

Martino,

Ventre

2023

Mathematics

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“…• economics and finance (Francis & Village, 2022;Ventre, Salvador, Martino, & Maturo, 2023;Woo & Sohn, 2022) • leadership (Turner & Elson, 2022;Zárate-Torres & Correa, 2023;Zhang, Yang, Lusha, Leung, & Lau, 2022) and • medical and pharmacy (Akhtar, Ashfaq, Khalid, & Baig, 2023;Flowers et al, 2023;Kodweis, Jasmin, Hall, & Havrda, 2023;Paul, 2023;Venurkar, Srivastava, Shukla, Acharya, Saha, & Deshpande, 2022).…”

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confidence: 99%

The Association of Personality Characteristics with Learning Strategy Preferences

Conti,

McNeil

2024

JEL

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The purpose of this study was to describe the association between the learning strategy preference of the learners as identified by Assessing The Learning Strategies of AdultS (ATLAS) and the individual personality traits as defined by the Myers-Briggs Type Indicator (MBTI). The sample was 553 adults in Canada and the United States. Two types of analyses were used to investigate the association between learning strategy preferences and personality traits. First, discriminant analysis explored the interaction of personality traits with the learning strategy preference. Second, analysis of variance measured the association of each personality trait with the learning-strategy-preference groups separately. The findings provided several explicit personality traits associated with each learning-strategy-preference group. These findings support the conclusion that a strong association exists between personality traits and learning-strategy-preference characteristics. Learning strategy preferences and personality traits complement each other. Each clarifies and enriches the other. As a result, teachers have two indicators that can help them personalize the teaching-learning environment for each student. Teachers can use the learning-strategy-group descriptions as guides for organizing each learner's instructional activities and plans and as a cognitive framework for uncovering and monitoring student behaviors and alerting teachers to potential learning difficulties for some students. Students can apply the descriptions of the learning-strategy-preference groups to facilitate self-assessment and metacognition. Theory can be enhanced by considering the two concepts of learning strategy preferences and personality traits coupled and by conducting quantitative and qualitative research to test and expand the generalizability of the learning-strategy-group descriptions. (Permission is granted to use Assessing The Learning Strategies of AdultS and the Personality Identity Estimator in practice and research. Links to printable copies and online completion are appended.)

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Analysis of aggregation between the components of financial literacy through inconsistency in intertemporal choices

Martino,

Ventre

2023

Soft Comput

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A behavioral approach to inconsistencies in intertemporal choices with the Analytic Hierarchy Process methodology

Cited by 5 publications

References 12 publications

An Analytic Network Process to Support Financial Decision-Making in the Context of Behavioural Finance

An Analytic Network Process to Support Financial Decision-Making in the Context of Behavioural Finance

The Association of Personality Characteristics with Learning Strategy Preferences

Analysis of aggregation between the components of financial literacy through inconsistency in intertemporal choices

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