Governance & succession · Original source
Zhiyuan Luo; S. M. Ferdous Azam; Laixi Wang
The popularization of financial literacy has become a global trend, with governments across the world expressing commitment to continuously enhancing the financial literacy of their citizens to improve the country’s overall financial well-being. However, there is a lack of research evaluating the actual effects of financial literacy on Chinese households. This study first investigated the micro impact of financial literacy on the household stock profit level using data from the 2019 China Household Finance Survey. As most existing studies use factor analysis to measure financial literacy from a single dimension of financial knowledge, our study additionally used the entropy method to construct a composite evaluation system of financial literacy from four dimensions: financial skills, knowledge, attitudes, and behaviors. The ordinary least squares model was utilized as the primary regression model to estimate the correlation, and the average financial literacy of other households in the same community was selected as an instrumental variable. Further instrumental variable regression analysis was conducted using the two-stage least squares method. Three robustness tests were performed to ensure the reliability of the research findings. The results demonstrate that financial literacy significantly enhances household stock profit levels. The mediation effect analysis indicates that financial literacy affects stock profit levels through financial information attention. Moreover, financial literacy has a more substantial promoting effect on stock profit levels for households with members working for state-owned enterprises and those living in first-tier cities. This study confirms the value of financial literacy; identifies important channels for residents to increase their property income; and provides important guidance for the government, educational organizations, and financial institutions. This also injects more vigor into market participation to improve the persistently sluggish Chinese stock market.
Governance & succession · Solutions companion
Family Office Private Wealth Journal · Editorial research desk
AI-assisted editorial analysis. This study uses the 2019 China Household Finance Survey to examine financial literacy and household stock profit. Its outcome combines reported stock-trading gains or losses with dividends. Its literacy index combines knowledge, skills, attitudes and behaviors using an entropy-based approach. The authors report a positive relationship and explore financial-information attention as a mediating channel. For a family office, the most useful contribution is a prompt to examine how financial knowledge, participation and information practices relate to decisions. It is not a forecast of a client’s future investment performance.
Governance & succession · Original source
Geesara Kasthuri Arachchi; Ishan Perera; Chathurya Gamage; Shehara Wijesinghe; Krishantha Wisenthige; Nirmani Dayapathirana
Small and Medium Enterprises (SMEs) are vital to economic growth and job creation, especially in developing countries. However, their potential is not fully utilized due to challenges related to limited financial inclusion, poor resource management, and underdeveloped capital markets. Though financial literacy is well-researched in personal finance, its role as a knowledge resource at the firm level and its impact on firm performance remain underexplored. This study investigates the influence of owner-managers’ financial literacy on firm performance, focusing on the mediating roles of FinTech adoption and access to finance. By taking a sample of 264 SME owner-managers in the Western Province of Sri Lanka, this study found that financial literacy significantly enhances firm performance (β = 0.241, p < .01). The findings indicate that financial literacy supports sound financial decision-making and risk mitigation and is positively associated with both FinTech adoption (β = 0.542, p < .001) and access to finance (β = 0.533, p < .001). These results underscore the necessity of enhancing financial literacy and promoting FinTech adoption to fully realize the potential of SMEs within developing economies. The study contributes a concise yet impactful framework for enhancing the performance of SMEs through the strategic application of financial literacy. Based on the study’s findings, it is recommended that enterprise owners and managers prioritize achieving an adequate level of financial literacy. Furthermore, governmental institutions should revise their financial literacy programs, reconsidering their design and implementation strategies to effectively engage key personnel within enterprises. Current programs appear underutilized due to deficiencies in depth and practical applicability of the knowledge given in them.
Governance & succession · Solutions companion
Family Office Private Wealth Journal · Editorial research desk
AI-assisted editorial analysis. The study examines 264 SME owner-managers in Sri Lanka’s Western Province and models relationships among financial literacy, access to finance, fintech adoption and firm performance. It reports positive associations, including proposed mediating pathways through finance and fintech. The source is relevant to a family office evaluating an operating-company investment or supporting a portfolio business, but it does not study family-office portfolios. The sample is geographically restricted and non-probability based, and the design does not randomly assign financial education or technology adoption.
Governance & succession · Original source
Tang My Sang
Cryptocurrency markets are characterized by high volatility and behavioral biases. Although several studies have examined psychological, social, and technological factors separately, few have comprehensively integrated them within a unified framework based on behavioral finance. This study addresses this gap by examining the interplay among digital financial literacy, impulsivity, social media financial influencers, fintech self-efficacy, and attitude toward investment in shaping investment decisions in Vietnam’s cryptocurrency market. Data were collected from 505 individual investors, and partial least squares structural equation modeling was employed to test the proposed framework. The results indicate that digital financial literacy fosters positive attitudes toward investment and directly supports informed investment decision-making. However, contrary to conventional expectations, digital financial literacy is positively associated with impulsivity-related investment behavior, suggesting that higher perceived digital competence may foster overconfidence and an illusion of control in highly volatile cryptocurrency markets. Social media financial influencers significantly shape investors’ attitudes and also exert a direct influence on investment decisions, highlighting both attitudinal and behavioral pathways. Furthermore, fintech self-efficacy moderates the relationship between attitudes and investment decisions by reducing investors’ reliance on attitudinal cues when making investment choices. The findings highlight the importance of distinguishing rapid informed decision-making from affect-driven impulsivity and emphasize the role of overconfidence and perceived digital literacy in shaping investor behavior. Practically, the results call for targeted digital financial education and regulatory oversight of online financial content to promote informed and sustainable investment practices.
Governance & succession · Solutions companion
Family Office Private Wealth Journal · Editorial research desk
AI-assisted editorial analysis. The study analyzes survey responses from 505 cryptocurrency investors in Vietnam, collected through online communities using convenience sampling. It examines perceived digital financial literacy, impulsivity, social-media financial influencers, fintech self-efficacy, investment attitudes and investment decisions through partial least squares structural equation modeling. The authors report that higher digital literacy is positively associated with impulsivity-related behavior, alongside other positive associations with investment attitudes and decisions. The practical lesson for a family office is to avoid assuming that technological fluency automatically produces disciplined investment judgment.
Intelligence, trust & financial decisions · Original source
Yan Shen; Wenxiu Hu; Xin Wang
Using data from the China Household Finance Survey, this study examines how digital financial literacy relates to household consumption. Digital financial literacy is positively associated with total consumption expenditure, especially among low-income households. Borrowing is the main pathway linking digital financial literacy to consumption, while investment and insurance play smaller roles. In contrast, the evidence for a systematic shift in the full consumption structure is not robust. The study suggests that digital financial literacy programmes can serve as an effective demand-side tool for household consumption, especially for low-income groups, but achieving structural changes in consumption likely requires complementary policies in education, health, and culture. Facilitating responsible digital credit access and building trust in digital insurance products are important for the link between digital financial literacy and higher household consumption.
Intelligence, trust & financial decisions · Solutions companion
Family Office Private Wealth Journal · Editorial research desk
This AI-assisted editorial analysis uses a Chinese household survey to distinguish digital financial literacy, higher consumption and financial wellbeing. It proposes an education protocol that measures understanding and affordability rather than account openings, borrowing or spending targets. The source does not establish that training improves wealth or welfare.
Intelligence, trust & financial decisions · Original source
Ryan L. Sriver; Robert J. Lempert; Per Wikman-Svahn; Klaus Keller
Many institutions worldwide are considering how to include uncertainty about future changes in sea-levels and storm surges into their investment decisions regarding large capital infrastructures. Here we examine how to characterize deeply uncertain climate change projections to support such decisions using Robust Decision Making analysis. We address questions regarding how to confront the potential for future changes in low probability but large impact flooding events due to changes in sea-levels and storm surges. Such extreme events can affect investments in infrastructure but have proved difficult to consider in such decisions because of the deep uncertainty surrounding them. This study utilizes Robust Decision Making methods to address two questions applied to investment decisions at the Port of Los Angeles: (1) Under what future conditions would a Port of Los Angeles decision to harden its facilities against extreme flood scenarios at the next upgrade pass a cost-benefit test, and (2) Do sea-level rise projections and other information suggest such conditions are sufficiently likely to justify such an investment? We also compare and contrast the Robust Decision Making methods with a full probabilistic analysis. These two analysis frameworks result in similar investment recommendations for different idealized future sea-level projections, but provide different information to decision makers and envision different types of engagement with stakeholders. In particular, the full probabilistic analysis begins by aggregating the best scientific information into a single set of joint probability distributions, while the Robust Decision Making analysis identifies scenarios where a decision to invest in near-term response to extreme sea-level rise passes a cost-benefit test, and then assembles scientific information of differing levels of confidence to help decision makers judge whether or not these scenarios are sufficiently likely to justify making such investments. Results highlight the highly-localized and context dependent nature of applying Robust Decision Making methods to inform investment decisions.
Intelligence, trust & financial decisions · Solutions companion
Family Office Private Wealth Journal · Editorial research desk
This AI-assisted editorial analysis translates a 2018 idealized Port of Los Angeles infrastructure study into a proposed process for examining coastal-property decisions under deep uncertainty. It separates exploratory scenario counts from probabilities and links decision thresholds to current local engineering evidence. Historical model outputs are not current property-risk estimates.
Intelligence, trust & financial decisions · Original source
Preeti Sunderaraman; Silvia Chapman; Megan S. Barker; Stephanie Cosentino
Decades of research have established how to measure metacognition (i.e., awareness of one’s cognitive abilities), whereas relatively little is known about how to assess the integrity of financial awareness (FA; awareness of one’s financial abilities), a related construct with practical implications for vulnerable older adults. The current study’s goal was to apply established metacognitive frameworks to identify an objective measure of FA. Metacognitive ratings were integrated into two financial decision making (FDM) assessments in order to derive two types of FA metrics: absolute accuracy (calibration) and relative accuracy (resolution) in each FDM task. Associations between each FA metric, demographic variables, FDM performances, and metamemory were examined. Cross-sectional, community-based, prospective study. 93 individuals with mean age = 59 years (SD = 15.12); mean education = 15.70 (SD = 2.39); 60% females. FA was calculated using the Financial Competency Assessment Inventory (FCAI) and Decision Making Competence Assessment Tool, Finance Module (DMC-F), and memory awareness was calculated using an objective metamemory test. None of the FA metrics was associated with age, education or gender. FCAI calibration was inversely associated with FDM, and positively correlated with DMC-F calibration and metamemory calibration. None of the FA metrics for DMC-F was associated with metamemory. Mirroring findings from metamemory studies, overconfidence in FDM was associated with lower FDM accuracy in healthy adults. Moreover, calibration scores on the FCAI and metamemory were related, suggesting that FA taps into metacognitive abilities. Our findings provide preliminary evidence for how to measure FA in both clinical and research contexts.
Intelligence, trust & financial decisions · Solutions companion
Family Office Private Wealth Journal · Editorial research desk
This AI-assisted editorial analysis uses a study of 93 healthy adults to separate confidence in financial decisions from demonstrated understanding. It proposes respectful, task-specific clarification and consent records while preserving personal agency. Research measures are not clinical or legal capacity assessments.
Intelligence, trust & financial decisions · Original source
Dorien F. Bangma; Anselm B. M. Fuermaier; Lara Tucha; Oliver Tucha; Janneke Koerts
Financial decision-making (FDM) is crucial for independent living. Due to cognitive decline that accompanies normal aging, older adults might have difficulties in some aspects of FDM. However, an improved knowledge, personal experience and affective decision-making, which are also related to normal aging, may lead to a stable or even improved age-related performance in some other aspects of FDM. Therefore, the present explorative study examines the effects of normal aging on multiple aspects of FDM. One-hundred and eighty participants (range 18–87 years) were assessed with eight FDM tests and several standard neuropsychological tests. Age effects were evaluated using hierarchical multiple regression analyses. The validity of the prediction models was examined by internal validation (i.e. bootstrap resampling procedure) as well as external validation on another, independent, sample of participants (n = 124). Multiple regression and correlation analyses were applied to investigate the mediation effect of standard measures of cognition on the observed effects of age on FDM. On a relatively basic level of FDM (e.g., paying bills or using FDM styles) no significant effects of aging were found. However more complex FDM, such as making decisions in accordance with specific rules, becomes more difficult with advancing age. Furthermore, an older age was found to be related to a decreased sensitivity for impulsive buying. These results were confirmed by the internal and external validation analyses. Mediation effects of numeracy and planning were found to explain parts of the association between one aspect of FDM (i.e. Competence in decision rules) and age; however, these cognitive domains were not able to completely explain the relation between age and FDM. Normal aging has a negative influence on a complex aspect of FDM, however, other aspects appear to be unaffected by normal aging or improve.
Intelligence, trust & financial decisions · Solutions companion
Family Office Private Wealth Journal · Editorial research desk
This AI-assisted editorial analysis draws on research finding different age relationships across financial decision tasks. It proposes clearer constraint comparisons, documented support preferences and explicit authority without using chronological age as an individual capacity judgment. Laboratory findings do not establish real-world loss prevention.
Intelligence, trust & financial decisions · Original source
Armando Aguayo-Mendoza; Ane Irizar-Arrieta; Diego Casado-Mansilla; Cruz E. Borges
In energy systems’ economic models, people’s behaviour is often underestimated, and they are generally unaware of how habits impact energy efficiency. Improving efficiency is challenging, and recommendations alone may not be sufficient. Changing behaviour requires understanding the direct impact of needs and habits on energy efficiency. This research introduces a methodology that retrieves human expert knowledge from four key aspects of the current energy transition: everyday appliances, buildings, mobility, flexibility, and energy efficiency. The aim is to examine the causal relationship between energy consumption and human behaviour, gaining a deeper understanding of the links among the factors that drive final energy consumers to change habits through the adoption of energy-saving measures. Working in collaboration with expert panels, this study provides a methodology for extracting expert human knowledge based on a set of future energy transition scenarios aligned with the achievement of the Paris Agreement, a taxonomy of 32 factors that have a strong influence on households’ investment decisions, and the results of a survey that characterises the European population through the 32-factor taxonomy and some socioeconomic conditions. In addition, the survey included a sample of the Latin American population to analyse how socioeconomic conditions (region, education, gender, etc.) influence the prioritisation of these factors. We discuss the high priority given to competence and autonomy over financial factors by inhabitants of the European Union residential sector. We provide an analysis of the factors through which other similar projects are focused and on which we converge. In addition, we contribute by presenting the hierarchy of priorities assigned by people. This highlights the importance for policymakers to take these aspects seriously when implementing energy policy interventions that go beyond purely financial measures and fiscal incentives.
Intelligence, trust & financial decisions · Solutions companion
Family Office Private Wealth Journal · Editorial research desk
This AI-assisted editorial analysis uses expert elicitation and household survey research to examine energy-investment adoption assumptions beyond price subsidies. It proposes tracking technical fit, perceived control and actual adoption stages. Unvalidated archetypes and inconsistent subgroup statements are disclosed and are not used to target individuals.
Intelligence, trust & financial decisions · Original source
Qiujun Lan; Qingyue Xiong; Linjie He; Chaoqun Ma
Predicting and analyzing behaviors of investors is of great value to financial institutions. This paper uses survey data from about 9,000 individual investors across China to explore the predictability of decision behaviors by studying demographic characteristics that are relatively easy to obtain. After applying Pearson’s chi-squared test, Spearman rank correlation test, and several data mining methods, we verified that demographic characteristics are closely linked to decision behaviors, and it would be an economical and feasible solution for financial organizations to build initial behavioral prediction models especially when investors’ behavioral data are insufficient.
Intelligence, trust & financial decisions · Solutions companion
Family Office Private Wealth Journal · Editorial research desk
This AI-assisted editorial analysis uses a Chinese investor survey to distinguish predicting reported behavior from establishing an individual’s investment needs. The proposed workflow replaces demographic shortcuts with direct preference records, outcome-specific validation and human review. It has not been tested in family offices.
Intelligence, trust & financial decisions · Original source
Norhazimah Che Hassan; Aisyah Abdul-Rahman; Siti Ngayesah Ab. Hamid; Syajarul Imna Mohd Amin
This study aims to determine, from the perspective of investors, the factors that predict Islamic unit trust (IUT) investment intentions. Additionally, this paper examines the moderating effect of fintech self-efficacy (FSE) on the relationship between attitude and investment intention. A total of 392 data were collected from IUT investors in Malaysia and analyzed using partial least squares structural equation modeling. The findings reveal that subjective norms have the highest impact on investment intention, followed by attitude and FSE, while religiosity is not significantly associated with investment intention in Islamic unit trust funds. Attitude significantly mediates religiosity-intention and Islamic financial literacy-intention relationships. FSE significantly moderates the attitude-intention relationship. The results shed light on the key factors that increase investing behavior and have direct managerial implications with regard to marketing strategies and target markets. These findings suggest that IUT service providers should take the lead in attracting customers through effective and targeted marketing initiatives, particularly by enhancing customers’ FSE and capabilities. This study provides empirical evidence on the interrelationships between Islamic financial literacy, religiosity, and FSE in examining investors’ behavior using the Theory of Planned Behavior framework. The study explores the moderating role of FSE on the relationship between attitude and investment intention.
Intelligence, trust & financial decisions · Solutions companion
Family Office Private Wealth Journal · Editorial research desk
A survey of Malaysian Muslim Islamic unit trust investors links reported intentions with attitudes, subjective norms, financial literacy and fintech self-efficacy. This AI-assisted companion proposes a digital-access and decision-consent process while preserving the distinction between confidence, intention and investment suitability. Reporting inconsistencies in the source are explicitly retained as limitations.
Intelligence, trust & financial decisions · Original source
Andrew W. Lo; Katherine P. Marlowe; Ruixun Zhang
Probability matching, also known as the “matching law” or Herrnstein’s Law, has long puzzled economists and psychologists because of its apparent inconsistency with basic self-interest. We conduct an experiment with real monetary payoffs in which each participant plays a computer game to guess the outcome of a binary lottery. In addition to finding strong evidence for probability matching, we document different tendencies towards randomization in different payoff environments—as predicted by models of the evolutionary origin of probability matching—after controlling for a wide range of demographic and socioeconomic variables. We also find several individual differences in the tendency to maximize or randomize, correlated with wealth and other socioeconomic factors. In particular, subjects who have taken probability and statistics classes and those who self-reported finding a pattern in the game are found to have randomized more, contrary to the common wisdom that those with better understanding of probabilistic reasoning are more likely to be rational economic maximizers. Our results provide experimental evidence that individuals—even those with experience in probability and investing—engage in randomized behavior and probability matching, underscoring the role of the environment as a driver of behavioral anomalies.
Intelligence, trust & financial decisions · Solutions companion
Family Office Private Wealth Journal · Editorial research desk
A laboratory lottery experiment found different tendencies to randomize under different payoff structures. This AI-assisted companion translates the study into a proposed audit of decision rules, evidence updates and pattern claims. It does not equate diversified investing with an error or claim the experiment validates a family-office trading strategy.
Intelligence, trust & financial decisions · Original source
Dongmei Cao; Dan Wang; Yujia Liao; Qing Liu
In recent years, China’s “lottery culture” has developed vigorously. Moreover, the investment participation rate of Chinese families in the formal financial market is low, whereas that in the informal financial market is high. Is there a certain relationship between “lottery culture” and family financial decision-making? If so, what is the underlying mechanism? Based on the 2017 CHFS data and lottery sales data of provinces, this study explores the impact of “lottery culture” on household participation in the formal and informal financial markets and the diversity of household financial portfolios. Results show that “lottery culture” can impede household participation in the formal financial market and the diversity of household financial portfolios while promoting household participation in the informal financial market in China. Furthermore, we analyze two channels of “lottery culture” impacts on household financial decisions: (1) risk attitude and (2) human capital. Results illustrate that “lottery culture” can influence household financial decisions by increasing risk tolerance and reducing the human capital of households.
Intelligence, trust & financial decisions · Solutions companion
Family Office Private Wealth Journal · Editorial research desk
This AI-assisted analysis uses a Chinese household finance paper to demonstrate how source-quality checks change practical conclusions. A regional lottery-sales proxy is not an individual risk diagnosis, and internal reporting tensions prevent unqualified reuse of some claims. The proposed exposure review focuses on actual assets, contracts and decision records.
Intelligence, trust & financial decisions · Original source
Fabian Marder; Torsten Masson; Julian Sagebiel; Christina Martini; Martin Quaas; Immo Fritsche
Climate protection is a collective project. However, most previous research on people’s pro-climate behavior ignores the collective dimension, looking at personal private-sphere behavior and considering personal cost-benefit predictors only. The present paper transcends this individualistic perspective by addressing behaviors that target collective transformation (i.e., financial investments in renewable energy projects and the acceptance of renewable energy policies) and predictors of collective cognition and motivation (i.e., social identity). Combining insights and methods from economics and psychology, the current research investigates if collective pro-environmental motivation (e.g., pro-environmental ingroup norms, collective climate efficacy beliefs) can add to the explanation of investment decisions and the acceptance of policies for renewable energies, also beyond personal psychological and economic factors. Results from a multi-country survey (31 European countries, N = 18,037), including a discrete choice experiment, showed that collective pro-environmental motivation was positively correlated with the acceptance of green energy policies and negatively correlated with discounting of future benefits (money discount rate) in investment decisions for renewable energies. Importantly, collective pro-environmental motivation remained a significant predictor of policy acceptance and the discount rate after controlling for personal pro-environmental motivation. Furthermore, the associations between collective pro-environmental motivation and our outcome measures were stronger for respondents who highly identified with their group compared to low identifiers. Our (correlational) results are one of the first to show that collective psychological factors are a unique predictor of green investment behavior and acceptance of green policies. From an applied perspective, our findings suggest that interventions should target agentic social identities with norms supporting pro-environmental behavior to increase acceptance of and participation in the transformation towards carbon neutrality, particularly for persons with low personal pro-environmental motivation.
Intelligence, trust & financial decisions · Solutions companion
Family Office Private Wealth Journal · Editorial research desk
A European survey and hypothetical renewable-energy choice experiment links collective environmental motivation with lower money discounting and policy acceptance. This AI-assisted companion proposes separate records for financial underwriting, environmental objectives and stakeholder participation. It does not convert a survey-derived discount rate into an investment hurdle rate.
Intelligence, trust & financial decisions · Original source
Pete Wegier; Julia Spaniol
Time pressure has been found to impact decision making in various ways, but studies on the effects time pressure in risky financial gambles have been largely limited to description-based decision tasks and to the gain domain. We present two experiments that investigated the effect of time pressure on decisions from description and decisions from experience, across both gain and loss domains. In description-based choice, time pressure decreased risk seeking for losses, whereas for gains there was a trend in the opposite direction. In experience-based choice, no impact of time pressure was observed on risk-taking, suggesting that time constraints may not alter attitudes towards risk when outcomes are learned through experience.
Intelligence, trust & financial decisions · Solutions companion
Family Office Private Wealth Journal · Editorial research desk
AI-assisted editorial analysis. The source compares risky monetary choices presented as stated probabilities with choices learned through sampling. In the description experiment, time pressure interacted with whether outcomes were gains or losses: participants took fewer risky loss choices under pressure, while the increase for gain choices was a nonsignificant trend. The experience experiment found no overall time-pressure effect on risk taking, although some interactions occurred at particular probabilities and payoff levels. It did find less information sampling under pressure. A family office should therefore avoid the simple slogan that rushed people always take more risk or always become conservative.
Intelligence, trust & financial decisions · Original source
Crystal Reeck; O’Dhaniel A. Mullette-Gillman; R. Edward McLaurin; Scott A. Huettel
Important decisions about risk occur in wide-ranging contexts, from investing to healthcare. While an underlying, domain-general risk attitude has been identified across contexts, it remains unclear what role it plays in shaping behavior relative to more domain-specific risk attitudes. Clarifying the relationship between domain-general and domain-specific risk attitudes would inform decision-making theories and the construction of decision aids. The present research assessed the relative contribution of domain-general and domain-specific risk attitudes to financial risk taking. We examined risk attitudes across different decision domains, as revealed through a well-validated measure, the Domain-Specific Risk-Taking Scale (DOSPERT). Confirmatory factor analysis indicated that a domain-general risk attitude shaped responses across multiple domains, and structural equation modeling showed that this domain-general risk attitude predicted observed behavioral risk premiums in a financial decision-making task better than domain-specific financial risk attitudes. Thus, assessments of risk attitudes that include both economic and non-economic domains improve predictions of financial risk taking due to the enhanced insight they provide into underlying, domain-general risk preferences.
Intelligence, trust & financial decisions · Solutions companion
Family Office Private Wealth Journal · Editorial research desk
AI-assisted editorial analysis. The source examines 304 adults recruited from the Duke University and Durham community. Participants completed a forty-item DOSPERT risk questionnaire and a task involving choices between certain payments and probabilistic gains. The analysis found that a domain-general component of questionnaire responses predicted measured financial risk premiums more strongly than the investing-specific component. This is useful evidence that a conversation limited to investment vocabulary may miss relevant attitudes. It does not show that recreational behavior determines a suitable asset allocation or that a general score measures a family’s financial capacity to lose money.