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Research Methods in Quantitative Finance and Risk Management
, 2010 The main purpose of this chapter is to discuss important quantitative methods used to do the research in quantitative finance and risk management. We first discuss statistics theory and methods. Second, we discuss econometric methods. Third, we discuss mathematics.
Tsui-Ling Hsu +3 more
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Highlights in Business, Economics and Management, 2023
Under the wave of internet finance, banks are constantly promoting financial innovation and system reform, and launching new asset management business.
Xuanjun Zeng
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Under the wave of internet finance, banks are constantly promoting financial innovation and system reform, and launching new asset management business.
Xuanjun Zeng
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Kurdish Studies, 2022
As machine learning has evolved with generative neural networks, financial systems have always offered exploratory opportunities in model simulations. Adaptive risk management, risk pricing, and innovative financial instruments have employed the power of
Murali Malempati
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As machine learning has evolved with generative neural networks, financial systems have always offered exploratory opportunities in model simulations. Adaptive risk management, risk pricing, and innovative financial instruments have employed the power of
Murali Malempati
semanticscholar +1 more source
Quantitative Risk and Portfolio Management
, 2023A comprehensive modern introduction to risk and portfolio management for quantitatively adept advanced undergraduate and beginning graduate students who will become practitioners in the field of quantitative finance.
Kenneth J. Winston
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Journal of International Commerce Economics and Policy
This study aimed to develop a structural model to explore the dynamic model of small and medium-sized enterprise (SME) performance, technological and financial literacy (techno-finance literacy), and risk management (RM) practices.
Embun Suryani +2 more
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This study aimed to develop a structural model to explore the dynamic model of small and medium-sized enterprise (SME) performance, technological and financial literacy (techno-finance literacy), and risk management (RM) practices.
Embun Suryani +2 more
semanticscholar +1 more source
, 2021
Risk management information system (RMIS) is becoming an important element in MIS system of banking sector in Vietnam in recent years and in future. We can use mathematics formulas applied in risk model to strengthen RMIS for banks. Nowadays, mathematics
N. D. Trung +3 more
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Risk management information system (RMIS) is becoming an important element in MIS system of banking sector in Vietnam in recent years and in future. We can use mathematics formulas applied in risk model to strengthen RMIS for banks. Nowadays, mathematics
N. D. Trung +3 more
semanticscholar +1 more source
Journal of Information Systems Engineering & Management
This paper explores the credit risk management of commercial acceptance bills in supply chain finance, specifically within the real estate industry in China.
Hongwei Zhu +2 more
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This paper explores the credit risk management of commercial acceptance bills in supply chain finance, specifically within the real estate industry in China.
Hongwei Zhu +2 more
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Finance 4.0: Predictive Analytics for Financial Risk Management Using AI
European Journal of Analytics and Artificial IntelligenceThe data economy was born when the economy changed perspectives from production scale to data scale. Traditional analytical frameworks can no longer absorb rapid data growth and changes.
Jeevani Singireddy
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Risks
This study employs a robust quantitative ex post facto research design to investigate the complex relationship between audit fees and earnings management.
A. Daryaei, D. Askarany, Yasin Fattahi
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This study employs a robust quantitative ex post facto research design to investigate the complex relationship between audit fees and earnings management.
A. Daryaei, D. Askarany, Yasin Fattahi
semanticscholar +1 more source
Advances in Economics, Management and Political Sciences
This study investigates the application of artificial intelligence (AI) and machine learning (ML) in quantitative finance, financial technology, and stock market forecasting.
Tongyu Zheng
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This study investigates the application of artificial intelligence (AI) and machine learning (ML) in quantitative finance, financial technology, and stock market forecasting.
Tongyu Zheng
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