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Quantitative finance
Robert H. Smith School Research Paper
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Machine learning for quantitative finance : fast derivative pricing, hedging and fitting
De Spiegeleer, Jan
;
Madan, Dilip B.
;
Reyners, Sofie
; …
- In:
Quantitative finance
18
(
2018
)
10
,
pp. 1635-1643
Persistent link: https://www.econbiz.de/10012259802
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Errata : Instantaneous Portfolio Theory
Madan, Dilip B.
;
Reyners, Sofie
;
Schoutens, Wim
- In:
Quantitative finance
22
(
2022
)
4
,
pp. 633-634
Persistent link: https://www.econbiz.de/10013367841
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Instantaneous portfolio theory
Madan, Dilip B.
- In:
Quantitative finance
18
(
2018
)
8
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pp. 1345-1364
Persistent link: https://www.econbiz.de/10011911544
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Stationary increments reverting to a Tempered Fractional Lévy Process (TFLP)
Madan, Dilip B.
;
Wang, King
- In:
Quantitative finance
22
(
2022
)
7
,
pp. 1391-1404
Persistent link: https://www.econbiz.de/10013367909
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5
The economics of time as it is embedded in the prices of options§
Madan, Dilip B.
;
Wang, King
- In:
Quantitative finance
23
(
2023
)
4
,
pp. 579-593
Persistent link: https://www.econbiz.de/10014304273
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6
Conic quantization : stochastic volatility and market implied liquidity
Fiorin, Lucio
;
Schoutens, Wim
- In:
Quantitative finance
20
(
2020
)
4
,
pp. 531-542
Persistent link: https://www.econbiz.de/10012194906
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7
A moment matching market implied calibration
Guillaume, Florence
;
Schoutens, Wim
- In:
Quantitative finance
13
(
2013
)
9
,
pp. 1359-1373
Persistent link: https://www.econbiz.de/10010186149
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