Tolerancia al Riesgo y Características Sociodemográficas en la Toma de Decisiones en Inversiones Financieras
DOI:
https://doi.org/10.5007/2175-8077.2022.e85721Palabras clave:
Tolerância risco, Finanças comportamentais, Tomada de decisãoResumen
Esta investigación investiga cómo las características sociodemográficas de los propietarios de tierras impactan la tolerancia al riesgo financiero de los individuos. Se realizó una encuesta de campo con estudiantes de posgrado Lato Sensu de diferentes IES públicas y privadas del Estado de Paraná. El método utilizado fue el no probabilístico para una muestra de 372 casos a través de un cuestionario. La validación de la escala de tolerancia al riesgo financiero de Droms y Straus (2003) se realizó mediante la técnica CFA (Análisis Factorial Confirmatorio) y el procesamiento de los datos se realizó mediante la técnica de análisis de regresión múltiple con corrección de heteroscedasticidad. Los resultados muestran consistentemente el impacto de las variables sociodemográficas en el constructo tolerancia al riesgo, a saber: género, estado civil, raza, ingresos y educación, sin embargo, el grupo de edad no se relacionó estadísticamente debido a la juventud de la muestra recolectada.
Citas
ANBAR, A.; EKER, M. An empirical investigation for determining of the relation between personal financial risk tolerance and demographic characteristic. Ege Academic Review, v. 10, n. 2, p. 503–523, 2010.
BAKER, H. K.; HASLEM, J. A. The impact of investor socioeconomic characteristics on risk and return preferences. Journal of Business Research, v. 2, p. 469–476, 1974.
BENTLER, P. M.; BONETT, D. G. Sgnificance tests and goodness-of-fit in the analysis of covariance structures. Psychological Bulletin, v. 88, p. 588–600, 1980.
BYRNE, B. M. Structural equation modeling with AMOS – Basic concepts, applications, and programming. New Jersey: Lawrence Erlbaum Associates Publishers, 2001.
CAMPBELL, J. Y. Household Finance. The Journal of Finance, v. 61, n. 4, p. 1553–1604, 2006.
CHANG, C.; DEVANEY, S. A.; CHIREMBA, S. T. Determinants of subjective and objective risk tolerance. Journal of Personal Finance, v. 3, n. 3, p. 53–67, 2004.
CHAULK, B.; JOHNSON, P. J.; BULCROFT, R. Effects of marriage and children on financial risk tolerance. A synthesis of family development and prospect theory. Journal of Family and Economic Issues, v. 24, n. 3, p. 257–279, 2003.
COLEMAN, S. Risk tolerance and the investment behaviour of Black and Hispanic heads of household. Financial Counseling and Planning, v. 14, n. 2, p. 43–52, 2003.
DROMS, W. G. Investment asset allocation for FPF clients. Journal of Accountancy, p. 114–118, abr. 1987.
DROMS, W.; STRAUSS, S. N. Assessing risk tolerance for asset allocation. Journal of Financial Planning, mar. 2003.
EVANS, J. “Dual System Theories of Cognition: Some Issues”. Review of Psychology, p. 202–207, 2006.
FAAG, R. W.; HALLAHAN, T.; MCKENZIE, M. D. An empirical investigation of investor risk tolerance. Junho, 2003.
FAN, J. X.; XIAO, J. J. “Cross-cultural Differences in Risk Tolerance: A Comparison Between Chinese and Americans”. Journal of Personal Finance, v. 5, n. 3, p. 54–75, 2006.
FORNELL, C.; LARCKER, D. F. Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research, v. 18, n. 1, p. 39–50, 1981.
GARRISON, S. T.; GUTTER, M. S. 2010 Outstanding AFCPE ® Conference Paper : Gender Differences in Financial Socialization and Willingness to Take Financial Risks. Journal of Financial Counseling and Planning, v. 21, n. 2, p. 60–72, 2010.
GAVA, A. M.; VIEIRA, K. M. Tomada de Decisão em Ambiente de Risco: uma Avaliação sob a Ótica Comportamental. Revista Eletrônica de Administração, p. 1–17, 2002.
GAVA, A. M.; VIEIRA, K. M. Risco e gênero: medindo a tolerância ao risco e as diferenças entre os gêneros. Revista de Ciências da Administração, v. 10, n. 20, p. 116–140, 2008.
GILLIAM, J. E.; GOETZ, J. W.; HAMPTON, V. L. Spousal differences in financial risk tolerance. Journal of Financial Counseling and Planning, v. 19, n. 1, p. 3–11, 2008.
GRABLE, J. E. Financial risk tolerance and additional factors that affect risk taking in everyday money matters. Journal of Business and Psychology, v. 14, n. 4, p. 625–630, 2000.
GRABLE, J. E.; BRITT, S. L. An Investigation of Response Bias Associated with Electronically Delivered Risk-Tolerance Assessment. Journal of Financial Therapy Association, v. 2, n. 1, 1 jan. 2011.
GRABLE, J. E.; JOO, S.-H. Environmental and Biophysical Factors Associated with Financial Risk Tolerance. Journal of Financial Counseling and Planning, v. 15, n. 1, p. 73–82, 2004.
GRABLE, J.; LYTTON, R. Assessing the concurrent validity of the SCF risk tolerance question. Financial Counseling and Planning, v. 12, n. 2, p. 43–53, 2001.
GRABLE, J.; LYTTON, R. H. Investor risk tolerance: testing the efficacy of demographics as differentiating and classifying factors. Financial Counseling and Planning, v. 9, p. 61–73, 1998.
GRABLE, J.; LYTTON, R. H. Financial risk tolerance revisited: the development of a risk assessment instrument. Financial Services Review, v. 8, p. 163–181, 1999.
GUTTER, M.; FONTES, A. “Racial Differences in Risky Asset Ownership: A Two-Stage Model of the Investment Decision-Making Process”. Financial Counseling and Planning, v. 17, p. 64–78, 2006.
HAIR, J. et al. A Primer on Partial Least Squares Structural Equation Modeling (PLS-SEM). Los Angeles: SAGE Publications, 2014.
HAIR JR, Joseph F.; GABRIEL, Marcelo LDS; PATEL, Vijay K. Modelagem de Equações Estruturais Baseada em Covariância (CB-SEM) com o AMOS: Orientações sobre a sua aplicação como uma Ferramenta de Pesquisa de Marketing. Revista Brasileira de Marketing, v. 13, n. 2, p. 44-55, 2014.
HAIR JR, J. F. et al. Fundamentos de métodos de pesquisa em administração. Porto Alegre: Bookman, 2005.
HAIR JR., J. F. et al. Análise Multivariada de dados. 6. ed. Porto Alegre: Bookman, 2009.
HALEK, M.; EISENHAUER, J. E. Demography of Risk Aversion. The Journal of Risk and Insurance, v. 68, n. 1, p. 1–24, 2001.
HALIASSOS, M.; BERTAUT, C. C. Why do so few hold stocks? The Economic Journal, v. 105, p. 1110–1129, 1995.
HALLAHAN, T. A.; FAFF, R. W.; MCKENZIE, M. D. An Empirical investigation of personal financial risk tolerance. Financial Services Review, v. 13, n. 1, p. 57–78, 2004.
HAWLEY, C. B.; FUJII, E. T. An empirical analysis of preferences for financial risk: Further evidence on the Friedman-Savage model. Journal of Post Keynesian Economics, v. 16, p. 197–204, 1993.
HENSELER, J.; RINGLE, C. M.; SINKOVICS, R. R. The use of partial least squares path modeling in international marketing. Advances in international marketing, v. 20, p. 277–319, 2009.
HUNTER, D. R. Risk Perception and Risk Tolerance in Aircraft PilotsSecurity. [s.l: s.n.].
JACOBS-LAWSON, J.; HERSHEY, D. Influence of future time perspective, financial knowledge, and financial risk tolerance on retirement saving behaviors. Financial Services Review, v. 14, p. 331–344, 2005.
JOHNSON, R. A.; WICHERN, D. W. Applied multivariate statistical analysis. 5a. ed. New Jersey: Prentice Hall, 2002.
JUNG, CARLOS F. Metodologia para Pesquisa & Desenvolvimento: Aplicada a novas tecnologias, produtos e processosRio de JaneiroAxell Books, , 2004.
KENNY, D. A.; KASHY, D. A. Analysis of the multitrait-multimethod matrix by confirmatory factor analysis. Psychological Bulletin, v. 112, n. 1, p. 165–172, 1992.
MARSH, H. W.; HOCEVAR, D. Application of confirmatory factor analysis to the study of selfconcept: First- and higher order factor models and their invariance across groups. Psychological Bulletin, v. 97, p. 562–582, 1985.
NOBRE, L. H. N. PERCEPÇÃO DE RISCO, TOLERÂNCIA AO RISCO E SEUS DETERMINANTES: UM ESTUDO COM GESTORES DE HOTÉIS NO NORDESTE BRASILEIRO. [s.l.] PUCPR - Pontifícia Universidade Católica do Paraná, 2015.
OLWENY, T.; NAMUSONGE, G. S.; ONYANGO, S. Financial Attributes and Investor Risk Tolerance at the Nairobi Securities Exchange – A Kenyan Perspective. Asian Social Science, v. 9, n. 3, p. 138–147, 28 fev. 2013.
RABBANI, Abed G. et al. Financial risk tolerance, sensation seeking, and locus of control among pre-retiree baby boomers. Journal of Financial Counseling and Planning, 2020.
REISE, S. P.; WIDAMAN, K. F.; PUGH, R. H. Confirmatory factor analysis and item response theory: Two approaches for exploring measurement equivalence. Psychological Bulletin, v. 114, p. 552–566, 1993.
ROSZKOWSKI, M. J.; DAVEY, G.; GRABLE, J. E. Questioning the questionnaire method: insights from psychology and psychometrics on measuring risk tolerance. Journal of Financial Planning, 2005.
SCHOOLEY, D. K.; WORDEN, D. D. Risk Aversion Measures: Comparing Attitudes and Asset Allocation. Financial Services Review, v. 5, n. 32, p. 87–99, 1996.
SHARMA, M.; CHATTERJEE, S. Cognitive Functioning: An Underlying Mechanism of Age and Gender Differences in Self-Assessed Risk Tolerance among an Aging Population. Sustainability 2021, 13, 2361. 2021.
SOUZA, F. J. V. DE et al. A Educação Financeira e a Sua Influência na Tomada de Decisões. Revista de Contabilidade UFBA, v. 5, n. 2, p. 81–95, 2011.
SUNG, J.; HANNA, S. Factors related to risk tolerance. Financial Conseling and Planing, v. 8, p. 47–58, 1996.
THOMPSON, B. Exploratory and confirmatory factor analysis. American Psychological Association, 2004.
VAN DE VENTER, G.; MICHAYLUK, D.; DAVEY, G. A longitudinal study of financial risk tolerance. Journal of Economic Psychology, v. 33, n. 4, p. 794–800, ago. 2012.
VIEIRA, K. M.; GAVA, A. M.; GENDELSKY, V. R. DUTRA. Tolerância ao Risco : desenvolvimento e validação de um instrumentoXXVI ENEGEP. Anais...2006
WALLACH, M. A.; KOGAN, N. Aspects of judgment and decision making: Interrelationships and changes with age. Behavioral Science, v. 6, p. 23–26, 1961.
WIDAMAN, K. F. Hierarchically nested covariance structure models for multitrait-multimethod data. Applied Psychological Measurement, v. 9, p. 1–26, 1985.
YAO, R.; GUTTER, M. S.; HANNA, S. D. The financial risk tolerance of Blacks, Hispanics and Whites. Journal of Financial Counseling and Planning, v. 16, n. 1, p. 51–62, 2005.
YAO, R.; HANNA, S. D.; LINDAMOOD, S. Changes in financial risk tolerance, 1983–2001. Financial Services Review, v. 13, n. 4, p. 249–266, 2004.
YAO, Rui; SHARPE, Deanna L.; WANG, Feifei. Decomposing the age effect on risk tolerance. The Journal of Socio-Economics, v. 40, n. 6, p. 879-887, 2011.
YUAN, K.; BENTLER, P. M. Three Likelihood-Based Methods for Mean and Covariance Structure Analysis With Nonnormal Missing Data. Sociological Methodology, v. 30, p. 167–202, 2000.
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