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White matter tracts associated with financial awareness. ATR, anterior thalamic radiation; CST, corticospinal tract; ILF, inferior longitudinal fasciculus; SLFP, superior longitudinal fasciculus ‐ parietal bundle; SLFT, superior longitudinal fasciculus ‐ temporal bundle

White matter tracts associated with financial awareness. ATR, anterior thalamic radiation; CST, corticospinal tract; ILF, inferior longitudinal fasciculus; SLFP, superior longitudinal fasciculus ‐ parietal bundle; SLFT, superior longitudinal fasciculus ‐ temporal bundle

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Financial decision-making (FDM) and awareness of the integrity of one's FDM abilities (or financial awareness) are both critical for preventing financial mistakes. We examined the white matter correlates of these constructs and hypothesized that the tracts connecting the temporal–frontal regions would be most strongly correlated with both FDM and f...

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... Financial market activities are revamped after the advent of the internet and globalisation; thus, they are technologically and geopolitically developed [60]. Financial decision-making and awareness of one's financial abilities are vital for avoiding financial mistakes [61]. Various researchers have studied gender differences in financial decision-making. ...
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In the challenging and volatile financial markets, an investor needs to change his financial objectives frequently, leading to a diversified portfolio of investments. The financial future of the individual investor depends on his rational decisionmaking. This research aims to evaluate various determinants of financial decision-making concerning working women in the National Capital Region, India. It examines the association of financial literacy, personal finance planning, and risk behaviour with the financial decision-making of working females. The research also studies the different exogenous variables of financial literacy, including financial attitude (FA), financial behaviour (FB) and financial knowledge (FK). It utilises a quantitative approach for predicting relationships between the identified variables. The study is based on primary data collected through a structured questionnaire designed on a 5-point Likert scale and was analysed through a partial least square-structural equation modelling (PLS-SEM) approach. The study results suggest a positive and significant association of financial literacy and personal finance planning with financial decision-making by working women. On the other hand, risk behaviour negatively affects financial decision-making. The findings also reveal that all three exogenous variables, financial attitude, financial behaviour and financial knowledge, have a strong relationship with financial literacy. The research is relevant for individual women investing in various financial avenues to take better decisions. This study also benefits financial managers and institutions to target as women are potential investors in a developing country like India.
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Objective: The cortical thickness "signature" of Alzheimer's disease (AD-CT) and white matter hyperintensity (WMH) burden have each been associated with cognitive aging and incident AD and related dementias. Less is known about how these structural neuroimaging markers associate with other critical behaviors. We investigated associations of AD-CT and WMH volumes with a composite index of health and financial literacy given that the ability to access, understand, and utilize health and financial information significantly influences older adults' health outcomes. Design, setting, participants: Participants were 303 adults without dementia (age∼80 years; 74% women) from the Rush Memory and Aging Project. Measurements: Baseline 3T MRI T1-weighted structural and T2-weighted FLAIR data were used to assess AD-CT and WMH volumes, respectively. Literacy was measured using questions designed to assess comprehension of health and financial information and concepts, yielding a total literacy score. Multivariable linear mixed effects regression models determined the relationship of each neuroimaging marker, first separately and then combined, with the level of and change in literacy. Results: Reduced AD-CT and higher WMH at baseline were each associated with lower levels of literacy; only AD-CT was associated with the rate of decline in literacy over time. The association of AD-CT with change in literacy persisted when both neuroimaging markers were included in the same model. Conclusions: The cortical thickness signature of AD predicts changes in health and financial literacy in nondemented older adults suggesting that the multidimensional construct of health and financial literacy relies on specific brain networks implicated in AD.