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Risk Sett<strong>in</strong>gs EnhancementsMannan AbbasiDecember 2012©2012. All rights reserved. msci.com


Agenda• <strong>Volatility</strong> <strong>Scal<strong>in</strong>g</strong>• S<strong>in</strong>gle Period <strong>Volatility</strong> Approach• Local <strong>Volatility</strong> Approach©2012. All rights reserved.2


<strong>Volatility</strong> <strong>Scal<strong>in</strong>g</strong>S<strong>in</strong>gle Period <strong>Volatility</strong>Approach©2012. All rights reserved. msci.com 3


<strong>Volatility</strong>/Correlati<strong>on</strong>: Old vs. <strong>New</strong> Behaviour• One look back period c<strong>on</strong>trols the generati<strong>on</strong> of simulatedscenarios/ covariance matrix• Useful to identify historical periods from which to draw correlati<strong>on</strong>s,while draw<strong>in</strong>g volatilities from a different period• <strong>New</strong> functi<strong>on</strong>ality <strong>in</strong> risk sett<strong>in</strong>g to decouple correlati<strong>on</strong> andvolatility estimati<strong>on</strong>• Exist<strong>in</strong>g look back period c<strong>on</strong>trols generati<strong>on</strong> of correlati<strong>on</strong>• Different volatility parameters can be specified under <strong>Volatility</strong> <strong>Scal<strong>in</strong>g</strong> (s<strong>in</strong>glePeriod or Local <strong>Volatility</strong> Model)©2012. All rights reserved.4


<strong>Volatility</strong>/Correlati<strong>on</strong>: Parametric Analysis• Effect of additi<strong>on</strong>al specificati<strong>on</strong>• Old Sett<strong>in</strong>gs:Σold= σ σi, j ρi j i ,j• <strong>New</strong> Sett<strong>in</strong>gsΣnewi, j = σ ' σ ' ρ'i j i,jΣWith T the return horiz<strong>on</strong>T=oldσ ' σ 'i, jiTnewjρi,j©2012. All rights reserved.5


<strong>Volatility</strong>/Correlati<strong>on</strong>: M<strong>on</strong>te Carlo• In simulati<strong>on</strong> we do not work with volatilities and correlati<strong>on</strong>, but with historicalscenarios, via Bens<strong>on</strong>-Zangari scenario generati<strong>on</strong>1. Start with historical scenarios from old sett<strong>in</strong>gsrd~dN(0,σ )2. Normalize them by their volatility3. Compute volatility from new sett<strong>in</strong>gsxdrd=σd'σ d~ N(0,1)4. Scale it <strong>in</strong>to historical scenariosxd×σ'd~'N(0,σ )d5. Generate simulated P/L as usual©2012. All rights reserved.6


RiskManager Setup©2012. All rights reserved.7


Decoupl<strong>in</strong>g <strong>Volatility</strong> and Correlati<strong>on</strong>Standard ApproachCorrelati<strong>on</strong> PeriodLast 3Y<strong>Volatility</strong> PeriodLast 3YσρAsset 1 Asset 2Asset 1 2.70% 1.00 0.66Asset 2 1.80% 0.66 1.00Suitable Correlati<strong>on</strong>sCorrelati<strong>on</strong> Period Jan 2004-07<strong>Volatility</strong> Period Jan 2004-07σρAsset 1 Asset 2Asset 1 2.98% 1.00 0.32Asset 2 1.41% 0.32 1.00Correlati<strong>on</strong> & <strong>Volatility</strong> from Different PeriodsCorrelati<strong>on</strong> Period Jan 2004-07<strong>Volatility</strong> PeriodLast 3YσρAsset 1 Asset 2Asset 1 2.70% 1.00 0.32Asset 2 1.80% 0.32 1.00©2012. All rights reserved.8


User Case: S<strong>in</strong>gle Period <strong>Volatility</strong> <strong>Scal<strong>in</strong>g</strong>• AUD.USD vs. Commodities - 3 Years Look Back Periodρ = 0.66©2012. All rights reserved.9


User Case: S<strong>in</strong>gle Period <strong>Volatility</strong> <strong>Scal<strong>in</strong>g</strong>• AUD.USD vs. Commodities - Low Correlati<strong>on</strong> Periodρ = 0.32©2012. All rights reserved.10


User Case: S<strong>in</strong>gle Period <strong>Volatility</strong> <strong>Scal<strong>in</strong>g</strong>• Impact <strong>on</strong> M<strong>on</strong>te Carlo VaRStandardApproachDecoupledReferenceCorrelati<strong>on</strong> Period Last 3 years Jan 2004 – 07 Jan 2004 – 07<strong>Volatility</strong> Period Last 3 years Last 3 years Jan 2004 – 07VaR (MC) 95Total 292 275 235AUD.USD 1Y Forward 212 217 169S&P Commodity Index 106 101 110Diversificati<strong>on</strong> Benefit 26 43 44©2012. All rights reserved.12


User Case: S<strong>in</strong>gle Period <strong>Volatility</strong> <strong>Scal<strong>in</strong>g</strong>• Impact <strong>on</strong> Predictive Stress TestsStandardApproachDecoupledReferenceCorrelati<strong>on</strong> Period Last 3 years Jan 2004 – 07 Jan 2004 – 07<strong>Volatility</strong> Period Last 3 years Last 3 years Jan 2004 – 07Oil Shock -20%Total -887 -610 -511AUD.USD 1Y Forward -495 -235 -156S&P Commodity Index -393 -374 -355©2012. All rights reserved.13


<strong>Volatility</strong> <strong>Scal<strong>in</strong>g</strong>Local <strong>Volatility</strong> Approach©2012. All rights reserved. msci.com 14


Local <strong>Volatility</strong> Model• Historical VaR uses equally weighted risk-factor returns from thelookback period• These returns are applied to base market scenario to generatesimulated historical P&L’s• Historical VaR with l<strong>on</strong>g lookback period potentially mixes differentvolatility regimesLocal <strong>Volatility</strong> Model aims at correct<strong>in</strong>g this©2012. All rights reserved.15


Example 2: Different <strong>Volatility</strong> Regimes Across TimeIs it reas<strong>on</strong>able to expect 2008-volatility <strong>in</strong> today’s market?©2012. All rights reserved.16


Local <strong>Volatility</strong> Adjustment Schema<strong>Volatility</strong> Seed:• Hardcoded; orLocal volatilityσ dσ hσ a• Calculated from date range prior to t dAnalysis Datet d. . .th−1th. . .td + nt ar hHistorical return r h is normalized bylocal volatility σ h and scaled up by afuncti<strong>on</strong> of σ h and σ aLook Back Period = t d+n - t d©2012. All rights reserved.19


Local <strong>Volatility</strong> Model• Use volatility<strong>Scal<strong>in</strong>g</strong> -> local<strong>Volatility</strong>Model• Historical factor returns at any date (d) <strong>in</strong> the lookback period areadjusted to account for current volatility regime (0 ≤ p ≤1)r adjd=rd×pσ + ( 1−p)σdσda• With <strong>in</strong>dependent risk sett<strong>in</strong>gs specificati<strong>on</strong> forσdandσa©2012. All rights reserved.20


RiskManager Setup: Local Vol with Hardcoded Initial Seed©2012. All rights reserved.21


RiskManager Setup: Local Vol with Date Range Seed©2012. All rights reserved.22


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