Ahmad, M. (2018). Construction and validation of neurotransmitters scale. Global Social Sciences Review, 3, 219–244.
Anderson, A., Dreber, A., & Vestman, R. (2015). Risk taking, behavioral biases and genes: Results from 149 active investors. Journal of Behavioral and Experimental Finance, 6, 93–100.
Blobe, G. C., Schiemann, W. P., & Lodish, H. F. (2000). Role of transforming growth factor β in human disease. New England Journal of Medicine, 342(18), 1350–1358.
Ceravolo, M. G., Cerroni, R., Farina, V., Fattobene, L., Leonelli, L., Mercuri, N. B., & Raggetti, G. (2019a). Attention allocation to financial information: The role of color and impulsivity personality trait. Frontiers in Neuroscience, 13, 818.
Ceravolo, M. G., Fabri, M., Fattobene, L., Polonara, G., & Raggetti, G. (2019b). Cash, card or smartphone: The neural correlates of payment methods. Frontiers in Neuroscience, 13, 1–9
Clark, L. A., & Watson, D. (1995). Constructing validity: Basic issues in objective scale development. Psychological Assessment, 7(3), 309–319.
Cohen, J. D. (2005). The vulcanization of the human brain: A neural perspective on interactions between cognition and emotion. Journal of Economic Perspectives, 19(4), 3–24.
Cohen, S., & Hamrick, N. (2003). Stable individual differences in physiological response to stressors: Implications for stress-elicited changes in immune-related health. Brain, Behavior, and Immunity, 17(6), 407–414.
Colbert (2012). “I can do this” diet: New medical breakthroughs that use the power of your brain and body chemistry to help you lose weight and keep it off for life, New York Times. In The Seven Pillers of Health. Thomas Nelson, Inc. Publishers.
Coricelli, G., Dolan, R. J., & Sirigu, A. (2007). Brain, emotion and decision making: The paradigmatic example of regret. Trends in Cognitive Sciences, 11(6), 258–265.
Demir, S. (2022). Comparison of normality tests in terms of sample sizes under different skewness and kurtosis coefficients. International Journal of Assessment Tools in Education, 9(2), 397-409.
Dornelles, A., de Lima, M. N. M., Grazziotin, M., PrestiTorres, J., Garcia, V. A., Scalco, F. S., & Schröder, N. (2007). Adrenergic enhancement of consolidation of object recognition memory. Neurobiology of Learning and Memory, 88(1), 137–142.
Frydman, C. D. (2012). Essays in neurofinance (Doctoral dissertation, California Institute of Technology).
Guadagnoli, E., & Velicer, W. F. (1988). Relation of sample size to the stability of component patterns. Psychological bulletin, 103(2), 265.
Hair, J., Black, C., Babin, J. & Anderson, E. (2010). Multivariate data analysis. Prentice Hall Publisher, USA, p.816.
Jin, X., Chen, C., Zhou, X., & Yang, X. (2019). Stimulating the dorsolateral prefrontal cortex decreases the asset bubble: A tDCS study. Frontiers in Psychology, 10, 1031.
Kahneman, D., & Tversky, A. (1979). Prospect theory: An analysis of decision making under risk. Econometrica, 47(2), 263.
Kenning, P., Mohr, P., Erk, S., Walter, H., & Plassmann, H. (2006). The role of fear in home-biased decision making: First insights from neuroeconomics. MPRA Paper.
Khan, A., & Mubarik, M. S. (2022). Measuring the role of neurotransmitters in investment decision: A proposed constructs. International Journal of Finance & Economics, 27(1), 258-274.
Kharrazian, D. (2013). Toxicant loss of immune tolerance, neurologic disease, and nutritional strategies. Functional Neurology, Rehabilitation, and Ergonomics, 3(2/3), 203.
Knutson, B., Wimmer, G. E., Kuhnen, C. M., & Winkielman, P. (2008). Nucleus accumbens activation mediates the influence of reward cues on financial risk taking. NeuroReport, 19(5), 509-513.
Krugel, L. K., Biele, G., Mohr, P. N., Li, S. C., & Heekeren, H. R. (2009). Genetic variation in dopaminergic neuro-modulation influences the ability to rapidly and flexibly adapt decisions. Proceedings of the National Academy of Sciences, 106(42), 17951–17956.
Kuhnen, C. M., & Knutson, B. (2005). The neural basis of financial risk-taking. Neuron, 47, 763–770.
Lo, A. W., Repin, D. V., & Steenbarger, B. N. (2005). Fear and greed in financial markets: A clinical study of day-traders. Cognitive Neuroscientific Foundations of Behavior, 95(2), 352–359.
Kuhnen, C. M., & Chiao, J. Y. (2009). Genetic determinants of financial risk taking. PLoS One, 4(2), 3–6.
Kuhnen, C. M., Samanez-Larkin, G. R., & Knutson, B. (2013). Serotonergic genotypes, neuroticism, and financial choices. PLoS One, 8(1), e54632
Markowitz, H. (1952). Portfolio selection. Journal of Finance, 7(1), 77–91.
Mccormick, M., Reyna, V. F., Ball, K., Katz, J., & Deshpande, G. (2009). Neural underpinnings of financial decision bias in older adults: Putative theoretical models and a way to reconcile them. Frontiers in Neuroscience, 13, 184.
Morse, G. (2006). Decisions and desire. Harvard Business Review, 84(1), 42–44.
Mubarik, M. S. (2017). The end of theory: Financial crises, the failure of economics and the sweep of human interaction. Institutions and Economies, 9(4), 113–115.
Njegovanović, A. (2020). Mind Theory and the Role of Financial Decision and Process Role of Optogenetics. Financial Markets, Institutions and Risks, 4(1), 40-50.
Roe, B. E., Tilley, M. R., Gu, H. H., Beversdorf, D. Q., Sadee, W., Haab, T. C., & Papp, A. C. (2009). Financial and psychological risk attitudes associated with two single nucleotide polymorphisms in the nicotine receptor (CHRNA4) gene. PloS one, 4(8), e6704.
Pennings, J.M.E., Scott, H.I., Good, D.L. (2002). Surveying farmers: a case study. Review of Agricultural Economics, 24(1), 266–277.
Peterson, R. L. (2007). Affect and financial decision-making: How neuroscience can inform market participants. Journal of Behavioral Finance, 8(2), 70–78.
Peterson, R. L. (2010). Neuroeconomics and neurofinance. In H. K. Baker & J. R. Nofsinger (Eds.), Behavioral finance: Investors, corporations, and markets (pp. 73–94). John Wiley & Sons, Inc.
Pompian, M. (2007). Behavioral finance and wealth management-How to build optimal portfolios that account for investor biases (p. 21). Springer: Financial Markets and Portfolio Management
Preuschoff, K., Bossaerts, P., & Quartz, S. R. (2006). Neural differentiation of expected reward and risk in human subcortical structures. Neuron, 51(3), 381–390.
Ross, J. G., & Burrell, S. A. (2019). Nursing students' attitudes toward research: An integrative review. Nurse Education Today, pp. 82, 79–87.
Sahi, S. K. (2012). Neurofinance and investment behavior. Studies in Economics and Finance, 29(4), 246–267.
Schriesheim, C. A., Powers, K. J., Scandura, T. A., Gardiner, C. C., & Lankau, M. J. (1993). Improving construct measurement in management research: Comments and a quantitative approach for assessing the theoretical content adequacy of paper-and-pencil survey-type instruments. Journal of Management, 19(2), 385–417.
Schultz, W. (2007). Behavioral dopamine signals. Trends in neurosciences, 30(5), 203–210.
Shiv, B., Loewenstein, G., Bechara, A., Damasio, H., & Damasio, A. R. (2005). Investment behavior and the negative side of emotion. Psychological Science, 16(2), 435–439.
Srivastava, M., Sharma, G., & Srivastava, A. (2019). Human brain and financial behavior: A neurofinance perspective. International Journal of Ethics and Systems, 35(4), 485–503.
Stenstrom, E., & Saad, G. (2011). Testosterone, financial risk-taking, and pathological, testosterone, financial risk-taking, and pathological gambling. Journal of Neuroscience, Psychology, and Economics, 4(4), 254–266.
Stevens, J.P. (1992). Applied multivariate statistics for the social sciences (2nd edition). Hillsdale, NJ:Erlbaum.
Tseng, K. C. (2006). Behavioral finance, bounded rationality, neurofinance, and traditional finance. Investment Management and Financial Innovations, 3(4), 7–18.
Tessler, D. M. S. (2009). The fight or flight of a kinase. Science Signaling, 2(66), 130.
Wu, C. C., Bossaerts, P., & Knutson, B. (2011). The affective impact of financial skewness on neural activity and choice. PLoS One, 6(2), e16838
Zhang, W., Yang, D., Jin, J., Diao, L., & Ma, Q. (2019). The neural basis of herding decisions in Enterprise clustering: An event-related potential study. Frontiers in Neuroscience, p. 13, 1175.