Showing 1 - 10 of 187
Persistent link: https://www.econbiz.de/10001699426
This paper provide a large-deviations approximation of the tail distribution of total financial losses on a portfolio consisting of many positions. Applications include the total default losses on a bank portfolio, or the total claims against an insurer. The results may be useful in allocating...
Persistent link: https://www.econbiz.de/10012469533
The one-dimensional SDE with non Lipschitz diffusion coefficient $dX_{t} = b(X_{t})dt + \sigma X_{t}^{\gamma} dB_{t}, \ X_{0}=x, \ \gamma1$ is widely studied in mathematical finance. Several works have proposed asymptotic analysis of densities and implied volatilities in models involving...
Persistent link: https://www.econbiz.de/10011067175
Persistent link: https://www.econbiz.de/10012704687
Persistent link: https://www.econbiz.de/10011941937
A central counterparty (CCP) is a financial market utility that lowers counterparty default risk on specified financial contracts by acting as a buyer to every seller, and as a seller to every buyer. When at risk of failure, a CCP could be forced into a normal insolvency process such as...
Persistent link: https://www.econbiz.de/10011862010
Gains and losses would be measured in terms of market value and also in terms of cash flow, allowing regulators to assess risk magnitudes in terms of stresses to both economic values and also liquidity. Exposures would be measured before and after collateralization. One of the scenarios would be...
Persistent link: https://www.econbiz.de/10012461376
Persistent link: https://www.econbiz.de/10014476664
We examine the properties of a method for fixing Libor rates that is based on transactions data and multi-day sampling windows. The use of a sampling window may mitigate problems caused by thin transaction volumes in unsecured wholesale term funding markets. Using two partial data sets of loan...
Persistent link: https://www.econbiz.de/10010333572
We use an extensive data set of bilateral exposures on credit default swap (CDS) to estimate the impact on collateral demand of new margin and clearing practices and regulations. We decompose collateral demand for both customers and dealers into several key components, including the “velocity...
Persistent link: https://www.econbiz.de/10011605683