Andrew McClelland - Finance and Treasury Association

Overview
Analytics Problems
Counterparty Credit Risk, XVA Pricing and Collateral Projection
in Treasury Systems
Andy McClelland
Department of Quantitative R&D
Numerix
[email protected]
October 30, 2014
Andy McClelland, Numerix, [email protected]
CCR, XVA and Collateral
1/6
Overview
Analytics Problems
Analytics Engines
Component of a Solution
In-House XVA/CCR Analytics
Analytics Engines
Analytics engine traditionally used for valuation, hedging and risk of products with
a range of models and methods.
Consumed through interfaces like Excel, integrated into management tools, or resides on a server responding to requests from portals/dashboards or reporting systems.
Complexity has migrated to counterparty credit risk, mutli-curve pricing, pricing
adjustments, etc.
Serves as a component of an overall solution - the analytics engine.
Common integration points includes PRE-DEAL: Market data feeds/warehouses, trade repositories, and CSA databases.
POST-DEAL: Reporting/accounting systems,
Andy McClelland, Numerix, [email protected]
etc.
CCR, XVA and Collateral
2/6
Overview
Analytics Problems
Analytics Engines
Component of a Solution
In-House XVA/CCR Analytics
Exposure Proles, XVA and Collateral
Andy McClelland, Numerix, [email protected]
CCR, XVA and Collateral
2/6
Overview
Analytics Problems
Analytics Engines
Component of a Solution
In-House XVA/CCR Analytics
Exposure Proles, XVA and Collateral
Andy McClelland, Numerix, [email protected]
CCR, XVA and Collateral
2/6
Overview
Analytics Problems
Analytics Engines
Component of a Solution
In-House XVA/CCR Analytics
Analytics Engines
Analytics engine traditionally used for valuation, hedging and risk of products with
a range of models and methods.
Consumed through interfaces like Excel, integrated into management tools, or resides on a server responding to requests from portals/dashboards or reporting systems.
Complexity has migrated to counterparty credit risk, mutli-curve pricing, pricing
adjustments, etc.
Serves as a component of an overall solution - the analytics engine.
Common integration points includes PRE-DEAL: Market data feeds/warehouses, trade repositories, and CSA databases.
POST-DEAL: Reporting/accounting systems,
Andy McClelland, Numerix, [email protected]
etc.
CCR, XVA and Collateral
2/6
Overview
Analytics Problems
Analytics Engines
Component of a Solution
In-House XVA/CCR Analytics
Analytics Engine as a Component of a Solution
Andy McClelland, Numerix, [email protected]
CCR, XVA and Collateral
2/6
Overview
Analytics Problems
Analytics Engines
Component of a Solution
In-House XVA/CCR Analytics
Benets of In-House XVA/CCR Analytics Tools
Better understanding of how charges are reected in quotes and increased transparency.
Can compute incremental CVA on a pre-deal basis and determine which counterparty is cheapest to deal with.
For analysis of potential collateral requirements, assessment of CSA restructuring.
Calculation of pricing adjustments (CVA etc.) for accounting/back-oce purposes.
Andy McClelland, Numerix, [email protected]
CCR, XVA and Collateral
3/6
Overview
Analytics Problems
Counterparty Credit Risk
XVA - Pricing Adjustments
Collateral Projection
Counterparty Credit Risk
Potential Future Exposure (PFE) and Expected Positive Exposure (EPE) proles
relevant to the bank counterparty and aect deal costs.
Internal limits on credit lines set by bank determined by PFE proles, and PFE/EPE
are key inputs to counterparty credit risk charges under SMA/IMM approaches
under Basel II/III.
1
Useful also in MC V@R, and a simple graphical check on deal/portfolio behaviour.
Some (non-cleared) bilateral trades use PFEs for determination of independent
amounts.
Proles recognisable on a pre-margin basis, but much less so post-margin.
Asymmetric CSAs employed by treasury counterparties induce asymmetric exposure
proles.
Common but complicating CSA featurs include ratings triggers (tightening of exposure proles) or right-to-break clauses.
1 See
for instance
http://www.bis.org/publ/bcbs189.pdf,
Andy McClelland, Numerix, [email protected]
paragraphs 97-98.
CCR, XVA and Collateral
4/6
Overview
Analytics Problems
Counterparty Credit Risk
XVA - Pricing Adjustments
Collateral Projection
One-Way CSA and CCR Proles
Andy McClelland, Numerix, [email protected]
CCR, XVA and Collateral
4/6
Overview
Analytics Problems
Counterparty Credit Risk
XVA - Pricing Adjustments
Collateral Projection
One-Way CSA and CCR Proles
Andy McClelland, Numerix, [email protected]
CCR, XVA and Collateral
4/6
Counterparty Credit Risk
Overview
XVA - Pricing Adjustments
Analytics Problems
Collateral Projection
XVA - Pricing Adjustments
Tools for understanding charges/margins built into spreads and eects of CSA
tinkering, i.e. moving to higher-frequency margining.
to the bank
Based on replication arguments, cost of the derivative
into -
Modern Price
=
+
Classical Price
|
{z
}
OIS Discounting/No CCR
Adjustments
= Function
Paths, CSA
| {z } Deal
| {z
} |
Averages
Exposures
is decomposed
Adjustments
|
{z
}
CVA/FBA/FCA/DVA
Conditions, Default Probs, Funding Spreads
{z
Collateral/CCYs
} |
{z
Credit Hedging
} |
{z
Costs/Benets
}
FVA costs charged will reect bank's funding spread, not the treasury counterparty.
2
Banks face a CVA capital charge under Basel III (when not recognising hedges).
Wrong-way risk requires capacity to simulate stochastic hazard rates, correlated
with market factors (ratings triggers/right-to-break clauses mitigate but dicult).
Clearly dierent CSAs or portfolios (diversication eects) with dierent counterparties will yield dierent adjustments
2 See
for instance
=⇒
cheapest-to-deal-with problem.
http://www.bis.org/publ/bcbs189.pdf,
Andy McClelland, Numerix, [email protected]
paragraphs 99-104.
CCR, XVA and Collateral
5/6
Overview
Analytics Problems
Counterparty Credit Risk
XVA - Pricing Adjustments
Collateral Projection
Collateral Projection
Necessary to simulate collateral behaviour for PFE/EPE generation & XVA pricing.
Useful for treasuries in projecting collateral surpluses/shortfalls when tinkering with
CSA details.
Collateral surpluses are collateral shortfalls for the bank counterparty
=⇒
FVA.
Banks with multi-CCY CSAs will post in cheapest-to-deliver CCY depending on
short-term CCY basis costs/benets.
Important to consider collateral substitutions/callbacks and potential for CCY switching depending on short-term XCCY basis markets.
Expected switching dates can be implied from bootstrapped XCCY basis curves
used in CSA pricing.
Andy McClelland, Numerix, [email protected]
CCR, XVA and Collateral
6/6
Overview
Analytics Problems
Counterparty Credit Risk
XVA - Pricing Adjustments
Collateral Projection
Collateral Projection and CSA Restructuring
Andy McClelland, Numerix, [email protected]
CCR, XVA and Collateral
6/6
Overview
Analytics Problems
Counterparty Credit Risk
XVA - Pricing Adjustments
Collateral Projection
Collateral Projection and CSA Restructuring
Andy McClelland, Numerix, [email protected]
CCR, XVA and Collateral
6/6
Overview
Analytics Problems
Counterparty Credit Risk
XVA - Pricing Adjustments
Collateral Projection
Collateral Projection and CSA Restructuring
Andy McClelland, Numerix, [email protected]
CCR, XVA and Collateral
6/6
Overview
Analytics Problems
Counterparty Credit Risk
XVA - Pricing Adjustments
Collateral Projection
Collateral Projection and CSA Restructuring
Andy McClelland, Numerix, [email protected]
CCR, XVA and Collateral
6/6
Overview
Analytics Problems
Counterparty Credit Risk
XVA - Pricing Adjustments
Collateral Projection
Collateral Projection
Necessary to simulate collateral behaviour for PFE/EPE generation & XVA pricing.
Useful for treasuries in projecting collateral surpluses/shortfalls when tinkering with
CSA details.
Collateral surpluses are collateral shortfalls for the bank counterparty
=⇒
FVA.
Banks with multi-CCY CSAs will post in cheapest-to-deliver CCY depending on
short-term CCY basis costs/benets.
Expected switching dates can be implied from bootstrapped XCCY basis curves
used in CSA pricing.
Andy McClelland, Numerix, [email protected]
CCR, XVA and Collateral
6/6