Demystifying Behavioral Biases of Traders Using Machine Learning

Singh, Hardeep; Singh, Anurag; Nagpal, Era

doi:10.1007/978-3-030-82763-2_16

Cited by 2 publications

(1 citation statement)

References 18 publications

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“…The article cites several examples of banks and financial institutions implementing behavioral biometrics technology and the potential benefits of using this approach in detecting and preventing fraud. A study by Singh et al (2022) aims to explore how machine learning can be used to understand the behavioral biases of traders. The article suggests that behavioral biases can be a significant factor in stock market fluctuations, and machine learning can help to identify patterns and relationships that can inform better investment decisions.…”

Section: Ai and Behavioral Financementioning

confidence: 99%

Has the World of Finance Changed? A Review of the Influence of Artificial Intelligence on Financial Management Studies

Zakaria,

Abdul Manaf,

Amron

et al. 2023

IMBR

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Artificial intelligence (AI) has had a tremendous impact on financial management research, revolutionizing how financial data is analyzed and decisions are made. It has the ability to improve accuracy and efficiency while also lowering costs and providing fresh insights into financial markets and investments. This review will look at some of the important areas of financial management research that AI has influenced. One of the most notable effects of AI on financial management research has been in risk management. AI algorithms, with their ability to analyze vast amounts of data, can detect patterns and anomalies that humans may not notice right away and have had a significant impact on financial forecasting and prediction, generating predictions about future market movements and investment opportunities by analyzing historical data, market trends, and other relevant factors. In conclusion, artificial intelligence (AI) has had a tremendous impact on financial management research, revolutionizing how financial data is analyzed and decisions are made, with significant potential to disrupt traditional financial management techniques. AI has the ability to increase accuracy and efficiency, cut costs, and provide fresh insights into financial markets and investments. As AI technology advances, its impact on financial management studies is likely to rise.

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Section: Ai and Behavioral Financementioning

confidence: 99%

Has the World of Finance Changed? A Review of the Influence of Artificial Intelligence on Financial Management Studies

Zakaria,

Abdul Manaf,

Amron

et al. 2023

IMBR

View full text Add to dashboard Cite

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From Crisis to Resilience

Singh

2022

Advances in Human Resources Management and Organizational Development

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Today's companies must be vigilant and flexible in the face of unanticipated occurrences, such as external crises, that heighten employee uncertainty and represent direct challenges to the organization's performance and sustainability. However, as a result of the current COVID-19 pandemic, companies are suddenly forced to traverse the unexpected and hence develop novel solutions to issues occurring across a wide range of operational domains. Several of these concerns are addressed in this chapter, with a particular emphasis on the transformation of human resource management (HRM) during COVID-19, as government and firms help their workers in adjusting to their significantly altered work environment.

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Demystifying Behavioral Biases of Traders Using Machine Learning

Cited by 2 publications

References 18 publications

Has the World of Finance Changed? A Review of the Influence of Artificial Intelligence on Financial Management Studies

Has the World of Finance Changed? A Review of the Influence of Artificial Intelligence on Financial Management Studies

From Crisis to Resilience

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