MLA
Heo, Wookjae, et al. "The Role of Big Data Research Methodologies in Describing Investor Risk Attitudes and Predicting Stock Market Performance: Deep Learning and Risk Tolerance." Handbook of Research on New Challenges and Global Outlooks in Financial Risk Management, edited by Mara Madaleno, et al., IGI Global, 2022, pp. 293-315. https://doi.org/10.4018/978-1-7998-8609-9.ch014
APA
Heo, W., Kwak, E. J., & Grable, J. E. (2022). The Role of Big Data Research Methodologies in Describing Investor Risk Attitudes and Predicting Stock Market Performance: Deep Learning and Risk Tolerance. In M. Madaleno, E. Vieira, & N. Bărbuță-Mișu (Eds.), Handbook of Research on New Challenges and Global Outlooks in Financial Risk Management (pp. 293-315). IGI Global. https://doi.org/10.4018/978-1-7998-8609-9.ch014
Chicago
Heo, Wookjae, Eun Jin Kwak, and John E. Grable. "The Role of Big Data Research Methodologies in Describing Investor Risk Attitudes and Predicting Stock Market Performance: Deep Learning and Risk Tolerance." In Handbook of Research on New Challenges and Global Outlooks in Financial Risk Management, edited by Mara Madaleno, Elisabete Vieira, and Nicoleta Bărbuță-Mișu, 293-315. Hershey, PA: IGI Global, 2022. https://doi.org/10.4018/978-1-7998-8609-9.ch014
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