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  • Search: subject:"Graphics processing unit (GPU)"
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Year of publication
Subject
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Newton-Raphson method 2 PyTorch 2 TensorRT 2 graphics processing unit (GPU) accelerated computing 2 implied volatility 2 Option pricing theory 1 Optionspreistheorie 1 Volatility 1 Volatilität 1
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Online availability
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Free 2 CC license 1
Type of publication
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Article 2
Type of publication (narrower categories)
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Article 1 Article in journal 1 Aufsatz in Zeitschrift 1
Language
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English 2
Author
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Huh, Jeonggyu 2 Kim, Hyun-Gyoon 2 Kim, Tae-Kyoung 2 Lee, Geon 2
Published in...
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Journal of Risk and Financial Management 1 Journal of risk and financial management : JRFM 1
Source
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ECONIS (ZBW) 1 EconStor 1
Showing 1 - 2 of 2
Cover Image
Newton-Raphson emulation network for highly efficient computation of numerous implied volatilities
Lee, Geon; Kim, Tae-Kyoung; Kim, Hyun-Gyoon; Huh, Jeonggyu - In: Journal of Risk and Financial Management 15 (2022) 12, pp. 1-8
In finance, implied volatility is an important indicator that reflects the market situation immediately. Many practitioners estimate volatility by using iteration methods, such as the Newton-Raphson (NR) method. However, if numerous implied volatilities must be computed frequently, the iteration...
Persistent link: https://www.econbiz.de/10014332772
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Cover Image
Newton-Raphson emulation network for highly efficient computation of numerous implied volatilities
Lee, Geon; Kim, Tae-Kyoung; Kim, Hyun-Gyoon; Huh, Jeonggyu - In: Journal of risk and financial management : JRFM 15 (2022) 12, pp. 1-8
In finance, implied volatility is an important indicator that reflects the market situation immediately. Many practitioners estimate volatility by using iteration methods, such as the Newton–Raphson (NR) method. However, if numerous implied volatilities must be computed frequently, the...
Persistent link: https://www.econbiz.de/10014284092
Saved in:
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