Purpose: This paper sets out to corroborate the existing literature on investors' risk tolerance and to assess how the 2008 financial crisis has affected risk tolerance among Italian investors. Design/methodology/approach: Based on a unique dataset of real-world portfolio choices made by 1,245 Italian investors over a period of 15 years (from 2003 to 2017), this paper presents two steps of analysis. In step 1, the whole period 2003–2017 is considered with the aim to integrate and corroborate the existing literature on the topic of risk tolerance, considering a complete economic and financial cycle. Step 2 took 2008 as the pivotal point between pre-crisis (2003–2008) and crisis (2009–2017) with the aim to observe the influence on risk appetite of the economic and financial effects of the crisis. Findings: The results obtained confirm that men are more risk tolerant than women and older people are less risk-taking than their younger counterparts, although the relationship between age and risk tolerance is not necessarily linear. Moreover, our paper demonstrates that a crisis scenario has an influence on Italian investors' risk tolerance. Practical implications: Our results are of interest to financial advisors, financial planners, asset managers, psychologists, behavioral researchers and more in general to providers of financial products and services. Originality/value: The results presented in this paper are relevant and original because they are based on real investors who made real choices concerning their portfolio asset allocations.

Purpose: This paper aims to develop a conceptual framework on how the representativeness heuristic operates in the decision-making process. Specifically, the authors unbundle representativeness into its building blocks: search rule, stopping rule and decision rule. Furthermore, the focus is placed on how individual-level cognitive and behavioral factors, namely experience, intuition and overconfidence, affect the functioning of this heuristic.Design/methodology/approach: From a theoretical standpoint, the authors build on dual-process theories and on the adaptive toolbox view from the “fast and frugal heuristics” perspective to develop an integrative conceptual framework that uncovers the mechanisms underlying the representativeness heuristic.Findings: The authors’ conceptualization suggests that the search rule used in representativeness is based on analogical mapping from previous experience, the stopping rule is the representational stability of the analogs and the decision rule is the choice of the alternative upon which there is a convergence of representations and that exceeds the decision maker's aspiration level. In this framework, intuition may help the decision maker to cross-map potentially competing analogies, while overconfidence affects the search time and costs and alters both the stopping and the decision rule.Originality/value: The authors develop a conceptual framework on representativeness, as one of the most common, though still poorly investigated, heuristics. The model offers a nuanced perspective that explores the cognitive and behavioral mechanisms that shape the use of representativeness in decision-making. The authors also discuss the theoretical implications of their model and outline future research avenues that may further contribute to enriching their understanding of decision-making processes.

Purpose: Inspired by the groundbreaking novel European regulations on financial investors’ profiling (MiFID II regulation and the ESMA 2022 Guidelines), this paper aims to establish which distinctive socio-demographic traits distinguish investors who declare a generalized interest in all three environmental (E), social (S), and governance (G) pillars and investors who express interest in just one individual pillar or a combination of two pillars. Design/methodology/approach: Based on a unique dataset of 190 real-world retail investors, this paper aims to create a profile of three types of investor: those whose interest lies in just the environmental pillar, those interested in a combination of the environmental and social pillars, and those interested in all three E, S, and G pillars jointly. Moreover, we try to ascertain whether it is possible to observe statistically significant differences between the different types of investors. Findings: The results obtained indicate that it is possible to profile investors who are environmentally-oriented and investors who are ESG-oriented. Notably, levels of financial literacy do not influence investor ESG attitudes. Practical implications: The results obtained may have multifaceted implications for financial advisors, the banking and financial institution industry, and marketing strategists, as well as for further research. Originality/value: The originality of this paper derives from the responses used in the analysis, which were collected from a sample of real-world retail investors who completed a mandatory MiFID-questionnaire, validated by the Italian Securities and Markets Supervisory Authority. Our paper thus represents a bridge between a theoretical approach and real-world practice.

During the recent financial crisis, bank profitability has become an element of strong concern for regulators and policymakers; in fact both self-financing strategies and capital increases – necessary to provide higher level of capitalization – rely on the ability of a bank to generate profits. However, the determinants of bank profitability, that seemed to be unequivocally identified by previous literature, appear to have changed under the effect of regulatory and competitive dynamics. We test this hypothesis on commercial, cooperative and saving banks, employing a random effect panel regression on a dataset comprising bank-level data and macroeconomic information (covering the period 2006-2013) for 9 countries of the Euro area. Our findings suggest that, after a period of “irrational exuberance” in which credit growth and high leverage were seen as proper and fast ways to boost profitability, a sound financial structure and a wiser and objective credit portfolio management have become the main drivers to ensure higher returns.