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The authors are interested in building descriptive – real life – models of successful investors’ investment reasoning and decision-making. Models designed to be useful for trying to replicate and evolve their reasoning and decision-making. The purpose of this paper, a case study, is to take the substantial material – on innovating the investing tools – published in four books (2006/2012, 2010, 2011, 2015) by a US stock investor named Kenneth Fisher (CEO of Fisher Investments, Woodside, California) and sketch Fisher’s investment innovating reasoning model.

To sketch Fisher’s investment innovating reasoning model, the authors used the Radical constructivist theory of knowledge, a framework for analyzing human action and reasoning called Symbolic interactionism and a qualitative analytic technique called Conceptual analysis. The authors have done qualitative research applied to the study of investment decision-making of a single professional investor.

In the paper, the authors analyzed and described the heuristics used by Fisher to build subsequent generations of investing tools (called by Fisher “Capital Markets Technology”) to try to make better forecasts to beat the stock market. The authors were interested in studying the evolutive dimensions of the tools to make forecasts of a successful investor: the “how to build it” and “how to evolve it” dimension.

The paper offers an account of Kenneth Fisher’s framework to reason the innovation of investing tools. The authors believe that this paper could be of interest to professional money managers and to all those who are involved in the study and development of the tools of investing. This work is also an example of the use of the Radical constructivist theory of knowledge, the Symbolic interactionist framework and the Conceptual analysis to build descriptive models of investment reasoning of individual investors, models designed to enable the reproduction/approximation of the conceptual operations of the investor.

This paper aims to propose an account of the use of numbers and mathematical formulae and, more generally, of the quantitative aspects in the qualitative equity valuation model of the American investor Philip A. Fisher who is considered to be one of the fathers of the qualitative equity valuation models.

A Conceptual analysis was conducted (Glasersfeld, 1992) of the four volumes published by Fisher between 1954 and 1980 (1958, 1960, 1975, 1980) in relation to his equity valuation process. On the basis of this analysis, a modelization of this author’s perspective on quantitative instruments was built.

A modelization to use quantitative data in a qualitative equity valuation model that is sufficiently detailed and useful for an asset manager is proposed.

What is propose is a qualitative analysis of quantitative elements in the thought of a qualitative author on the subject of equity valuation. It is believed that this paper could be of interest to all those who use or are involved in the development of qualitative models of equity valuation or business valuation. This work is also an example of how conceptual analysis – generally employed in the field of mathematics education research – can be used to build descriptive models of decision-making processes of individual investors, models designed to enable the reproduction/approximation of the conceptual operations of the investor.

This paper aims to introduce the reader to investigate some aspects of investment decision making from a constructivist perspective.

The constructivist perspective is introduced in its dual nature of epistemology and of modelization. From constructivist epistemology, the paper mentions the corollaries of theoretical pluralism and cognitive pragmatism. From Kruglanski and Ajzen's Lay epistemology theory, the paper presents in more detail a constructivist modelization for the study and improvement of formal processes of investment decision making.

Beginning from the proposed framework, the paper indicates the lines for the development of a critical (or reflective) investment decision‐making attitude. This is an investment decision making which is able to reflect on its own constructs and cognitive processes in order to develop investment processes with a higher “constructivist awareness” and efficacy.

The proposed modelization can contribute to the work of those dedicated to the development of better formal processes of investment. The paper presents three examples of possible applications potentially useful for the improvement of the processes of asset valuation of value investors.

Behavioral solutions to our cognitive biases have long been studied in the literature. However, there is still ample evidence of behavioral biases in decision-making, with only limited improvement in the medium/long term even when debiasing methods are applied. The purpose of this paper is to describe how financial investors could benefit from a proactive management of emotions combined with a set of learning and decision-making heuristics to make more efficient investments in the long run.

First, the authors offer a classification of the appropriate quantitative and qualitative methodologies to use in different ecological environments. Then, the authors offer a list of detailed heuristics to be implemented as behavioral principles intended to induce more long-lasting changes than the original rules offered by the adaptive toolbox literature. Finally, the authors provide guidelines on how to embed artificial intelligence and cognitive diversity within the investment decision architecture.

Improvements in decision skills involve changes that rarely succeed through a single event but through a succession of steps that must be habitualized. This paper argues that implementing a more conscious set of personal and group principles is necessary for long-lasting changes and provides guidelines on how to minimize systematic errors with adaptive heuristics. To maximize their positive effects, the principles outlined in this paper should be embedded in an architecture that fosters cognitively diverse teams. Moreover, when using artificial intelligence, the authors advise to maximize the interpretability/accuracy ratio in building decision support systems.

The paper proposes a theoretical reflection on the field of behavioral research and decision-making in finance, where the chief goal is to offer practical advices to investors. The literature on debiasing cognitive biases is limited to the detection and correction of immediate effects. The authors go beyond the traditional three building blocks developed by the behavioral finance literature (search rules, stopping rules and decision rules) and aim at helping investors who are interested in finding long-term solutions to their cognitive biases.

This paper aims to investigate German bank-affiliated venture capitalists’ investment practices and the emergence of their investment logics. Most studies focus on the investment behaviour of independent venture capitalists and little is known about dependent venture capitalists’ investment behaviour. The present study contributes to filling this gap in entrepreneurial finance literature.

The paper uses an exploratory qualitative research approach based on 27 semi-structured interviews with the top management of German bank-affiliated venture capitalists and industry experts to develop a conceptual model that explains the investment logics of bank-affiliated venture capitalists. A large amount of archival data has also been collected and used for the analysis.

The results indicate that bank-affiliated venture capitalists either follow an autonomous, contingent or hybrid investment logic. A bank-affiliated venture capitalist’s isomorphic focus – whether they feel isomorphic to the external venture capital environment or the internal parent bank’s environment – explains the emergence of multiple investment logics.

The paper encourages banks to get a better understanding of how the venture capital industry works and what they need to do to compete again independent venture capitalists. Banks and their affiliated venture capital units can improve their deal flows by recognising that they need to get accepted as an on-par investor in the venture capital environment.

The current study is the first of its kind investigating multiple investment logics by focussing on the link between different isomorphic habits and the specific context of bank-affiliated venture capitalists.