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Market liquidity risk refers to the degree to which large size transactions can be carried out in a timely fashion with a minimal impact on prices. Emphasized by the G10 report in 1993 and the BIS report in 1997, it is viewed as one factor of destabilization in the financial markets, as...
Persistent link: https://www.econbiz.de/10010708122
Market liquidity risk refers to the degree to which large size transactions can be carried out in a timely fashion with minimal impact on prices. Emphasized by the G10 report in 1993 and the BIS report in 1997, it is one factor of destabilization in the financial markets, as illustrated recently...
Persistent link: https://www.econbiz.de/10011073432
Usually partial equilibrium models used for pricing financial derivatives rely on price equilibrium dynamics which doesn’t explicitly take the trade size into account. However any price is implicitly based on the balance between supply and demand to the extent that the exchanged quantity...
Persistent link: https://www.econbiz.de/10010708978
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Market liquidity risk refers to the degree to which large size transactions can be carried out in a timely fashion with minimal impact on prices. Emphasized by the G10 report in 1993 and the BIS report in 1997, it is one factor of destabilization in the financial markets, as illustrated recently...
Persistent link: https://www.econbiz.de/10012736705
Persistent link: https://www.econbiz.de/10012095165
Persistent link: https://www.econbiz.de/10012095167
In the framework of Galichon, Henry-Labordère and Touzi, we consider the model-free no-arbitrage bound of variance option given the marginal distributions of the underlying asset. We first make some approximations which restrict the computation on a bounded domain. Then we propose a gradient...
Persistent link: https://www.econbiz.de/10010898722
We give a study to the algorithm for semi-linear parabolic PDEs in Henry-Labordère (2012) and then generalize it to the non-Markovian case for a class of Backward SDEs (BSDEs). By simulating the branching process, the algorithm does not need any backward regression. To prove that the numerical...
Persistent link: https://www.econbiz.de/10011064971