Results 191 to 200 of about 5,271,287 (215)
Performance evaluation and occupational health safety analysis of university teachers based on time-series feature extraction. [PDF]
Shan Y, Zheng M, Sun H.
europepmc +1 more source
Some of the next articles are maybe not open access.
Computational Methods for Quantitative Finance
SPRINGER FINANCE, 2013Many mathematical assumptions on which classical derivative pricing methods are based have come under scrutiny in recent years. The present volume offers an introduction to deterministic algorithms for the fast and accurate pricing of derivative contracts in modern finance.
Norbert Hilber +3 more
openaire +2 more sources
Monte Carlo Methods and Applications, 2014
Abstract. The great demand for high computational capabilities is omnipresent in every facet of modern financial activities, ranging from financial product pricing, trading and hedging at the front desk on the one end to risk management activities for in house monitoring and legislative compliance on the other.
Michael Mascagni, Yue Qiu, Lin-Yee Hin
openaire +1 more source
Abstract. The great demand for high computational capabilities is omnipresent in every facet of modern financial activities, ranging from financial product pricing, trading and hedging at the front desk on the one end to risk management activities for in house monitoring and legislative compliance on the other.
Michael Mascagni, Yue Qiu, Lin-Yee Hin
openaire +1 more source
International Journal of Academic and Industrial Research Innovations(IJAIRI)
Abstract: The increasing complexity and volatility of global financial markets highlight the limitations of traditional risk modeling frameworks, which often rely on linear assumptions and fail to capture nonlinear dependencies and systemic shocks. This study proposes an augmented multi-methodological framework that integrates machine learning, deep ...
openaire +1 more source
Abstract: The increasing complexity and volatility of global financial markets highlight the limitations of traditional risk modeling frameworks, which often rely on linear assumptions and fail to capture nonlinear dependencies and systemic shocks. This study proposes an augmented multi-methodological framework that integrates machine learning, deep ...
openaire +1 more source
The Prospects of Quantum Computing for Quantitative Finance and Beyond
IEEE Nanotechnology Magazine, 2023Yen-Jui Chang +3 more
openaire +1 more source
Introduction to Advanced Statistical Analyses for Computational Economics and Finance
Computational Economics, 2018Fredj JAWADI
exaly
From dissonance to resonance: cognitive interdependence in quantitative finance
Economy and Society, 2012David Stark
exaly

