Optimal investment with inside information and parameter uncertainty
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Cited by:
- Huy N. Chau & Andrea Cosso & Claudio Fontana, 2020. "The value of informational arbitrage," Finance and Stochastics, Springer, vol. 24(2), pages 277-307, April.
- Daeyung Gim & Hyungbin Park, 2021. "A deep learning algorithm for optimal investment strategies," Papers 2101.12387, arXiv.org.
- Katia Colaneri & Stefano Herzel & Marco Nicolosi, 2021.
"The value of knowing the market price of risk,"
Annals of Operations Research, Springer, vol. 299(1), pages 101-131, April.
- Katia Colaneri & Stefano Herzel & Marco Nicolosi, 2019. "The value of knowing the market price of risk," Papers 1909.07837, arXiv.org, revised Sep 2019.
- Peng, Xingchun & Chen, Fenge & Wang, Wenyuan, 2021. "Robust optimal investment and reinsurance for an insurer with inside information," Insurance: Mathematics and Economics, Elsevier, vol. 96(C), pages 15-30.
- Peng, Xingchun & Wang, Wenyuan, 2016. "Optimal investment and risk control for an insurer under inside information," Insurance: Mathematics and Economics, Elsevier, vol. 69(C), pages 104-116.
- Fabrice Baudoin & Oleksii Mostovyi, 2024. "The indifference value of the weak information," Papers 2408.02137, arXiv.org.
- Ngoc Huy Chau & Wolfgang Runggaldier & Peter Tankov, 2016. "Arbitrage and utility maximization in market models with an insider," Papers 1608.02068, arXiv.org, revised Sep 2016.
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This paper has been announced in the following NEP Reports:- NEP-CTA-2009-11-21 (Contract Theory and Applications)
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