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AVC [2] (Asset Value Correlation) was introduced by the Basel III Framework, and is applied as following: A V C = 1.25 {\displaystyle AVC=1.25} if the company is a large regulated financial institution (total asset equal or greater to US $100 billion) or an unregulated financial institution regardless of size
In other words, CVA is the market value of counterparty credit risk. This price adjustment will depend on counterparty credit spreads as well as on the market risk factors that drive derivatives' values and, therefore, exposure. It is typically calculated under a simulation framework. [4] [5] [6] (Which can become computationally intensive; see ...
The Basel Committee on Banking Supervision explained the rationale for adopting this approach in a consultative paper issued in 2001. [3] Such an approach has two primary objectives - Risk sensitivity - Capital requirements based on internal estimates are more sensitive to the credit risk in the bank's portfolio of assets
This was called Basel I, and the Committee came out with a revised framework known as Basel II. The main recommendation of this document is that banks should hold enough capital to equal at least 8% of its risk-weighted assets. [5] More recently, the committee has published another revised framework known as Basel III. [6]
Basel III requires banks to have a minimum CET1 ratio (Common Tier 1 capital divided by risk-weighted assets (RWAs)) at all times of: . 4.5%; Plus: A mandatory "capital conservation buffer" or "stress capital buffer requirement", equivalent to at least 2.5% of risk-weighted assets, but could be higher based on results from stress tests, as determined by national regulators.
PFE is the "Potential Future Exposure" to the counterparty: per asset class, trade-"add-ons" are aggregated to "hedging sets", with positions allowed to offset based on specified correlation assumptions, thereby reducing net exposure; these are in turn aggregated to counterparty "netting sets"; this aggregated amount is then offset by the ...
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Financial correlations measure the relationship between the changes of two or more financial variables over time. For example, the prices of equity stocks and fixed interest bonds often move in opposite directions: when investors sell stocks, they often use the proceeds to buy bonds and vice versa.