Deutsche Bank Risk Credit Risk of Derivatives Exposure Management Group Exposure Management: Roles & Responsibilities 1. Introduction to Exposure Management 2. Exposure Modelling & Measurement Analysis of derivatives risk of structured transactions, impact of new trades on existing portfolios. Counterparty portfolio analysis: monitoring of critical portfolios and analysis of unprocessed trades. 3. Simple Derivative Products Advise and support CRM and business on risk mitigation. 4. Risk Reducing Techniques Development of pre-deal check tools. 5. Stress Tests Development of risk methodology together with MRM Derivatives Exposure and review of internal and external margining methodologies (e.g. Clearing Houses). Bank portfolio (and sub-portfolio) analysis: exposure reports for targeted products or regions (e.g. commodities or Emerging markets) via derivatives stress test analysis. Risk assessment within the New Product Approval (NPA) process. Ultimate Goal: optimize the credit risk within the parameters set by the credit officers, i.e. maximize the return on the risk at the firm-wide portfolio level. Deutsche Bank Risk Exposure Management Group 1 Overview of Credit Risk/ Exposure 1. Introduction to Exposure Management 2. Exposure Modelling & Measurement Credit Risk: risk of a loss, arising from counterparty’s inability to meet its obligations on a financial contract Credit Exposure: is a measure of the amount that would be lost if a counterparty to a financial contract defaults 3. Simple Derivative Products Credit exposure on a straight loan ~ loan notional 4. Risk Reducing Techniques Credit exposure on a derivative instrument = Replacement value, if positive. 5. Stress Tests Credit Exposure of traded products is measured via two concepts: Current Credit Exposure (CCE) Potential Future Exposure (PFE) For collateralized counterparties (except HF) → short-term PFE (VaR), the risk is calculated over the respective call frequency period + liquidation period (usually 10 business days) For Hedge Funds monitoring is based on stress test shortfall Deutsche Bank Risk Exposure Management Group 2 Measuring counterparty exposure: CCE 1. Introduction to Exposure Current Credit Exposure (CCE): Management 2. Exposure Modelling & Measurement 3. Simple Derivative Products 4. Risk Reducing Techniques 5. Stress Tests CCE is calculated as a replacement value of the derivative, applying enforceable netting rules (Credit Line Netting) and collateral, if applicable. CCE depends on current market conditions (IRs, FX rates, equity prices, credit spreads, inflation, volatility, hidden market conditions as liquidity). CCE is monitored under the CCE Limit, set by each credit officer in accordance to the present credit risk appetite; CCE is the legally binding exposure in case of counterparty’s default. Deutsche Bank Risk Exposure Management Group 3 CCE: Impact of Credit Line Netting (“Close Out” Netting) 1. Introduction to Exposure Example: all numbers from DB perspective Management 2. Exposure Modelling & Measurement DB has entered into two derivative transactions with a counterparty. 1st transaction has a MtM of + 32 (i.e. the counterparty owes DB) and 2nd transaction has a MtM of -10 (i.e. DB owes the counterparty). 3. Simple Derivative Products 4. Risk Reducing Techniques CCE with netting: 5. Stress Tests CCE without netting: + 32 - 10 = 22 = 32 Without netting in the case of ctpy’s default, DB will still have the obligation to pay 10 (DB owes it to the counterparty), but the 32 would go into the bankrupt’s liabilities. Deutsche Bank Risk Exposure Management Group 4 Measuring counterparty exposure: PFE 1. Introduction to Exposure Potential Future Exposure (PFE): Management 2. Exposure Modelling & Measurement 3. Risk Systems Overview 4. Simple Derivative Products 5. Case Study 6. Risk Reducing Techniques 7. Stress Tests 8. Policy Overview Deutsche Bank Risk PFE quantifies the potential adverse movement of the trade/ portfolio CCE due to changes in the underlying asset (IR, FX, equity, etc.); PFE varies over time as the market conditions might alter and the trade gets closer to maturity (aging effect); The PFE utilisation is calculated over the lifetime of the trade, i.e. PFE Profile. PFE is monitored under the PFE limit for the respective future tenor point , i.e. PFE Limit Structure; Exposure Management Group 5 PFE Considerations 1. Introduction to Exposure Management 2. Exposure Modelling & Measurement 3. Simple Derivative Products 4. Risk Reducing Techniques 5. Stress Tests The PFE gives a „reasonable worst case“ exposure, considering counterparty’s default and adverse market scenario. The PFE utilisation is calculated over the lifetime of the trade, i.e. PFE Profile. It is measured at 95% confidence level → 95% probability that the exposure of a trade/ portfolio will stay below the PFE number. Tail risk: up to 5% probability the trade/ portfolio exposure to exceed the PFE number due to extreme market movements (e.g. Global Crisis in 2008/ 2009). The PFE calculation approach should be: conservative enough to protect the bank; backed up by historical analysis (backtesting); macroeconomic analysis & product expertise are considered by the scenario definition; consistent over different product classes (e.g. FX Forwards & CCSwaps); take into account the tenor of the transaction; consider the specifics of the underlying, e.g. distinguish between high/ low volatility assets (DM vs. EM underlying), liquid/ illiquid assets. Deutsche Bank Risk Exposure Management Group 6 PFE Profile Example: 5Y “at the money” IRS 1. Introduction to Exposure Management 2. Exposure Modelling & The result of the PFE calculation is a whole pattern, i.e. PFE profile The calculation considers the maturity of the trade and the so called “aging effect” (the exposure decreases with each coupon payment) Measurement 3. Risk Systems Overview 4. Simple Derivative Products 5. Case Study 6. Risk Reducing Techniques 7. Stress Tests 8. Policy Overview Deutsche Bank Risk Exposure Management Group 7 Risk Measurement for Collateralized Counterparties (1) The most fundamental evaluation of the risk is the CCE. 1. Introduction to Exposure CCE = Portfolio MtM (netting applied) + Collateral posted – Collateral held Management 2. Exposure Modelling & Measurement 3. Simple Derivative Products 4. Risk Reducing Techniques 5. Stress Tests Collateral is valued at its current market value pre-haircut. Accordingly, a PFE estimate is needed to value the market movements impact on the CCE in the future. The PFE estimate, called short-term PFE (VaR), should reflect changes in DB’s exposure. The short-term PFE (VaR) is monitored vs. PFE (VaR) Limit. The PFE calculation should also reflect potential changes in the value of the collateral taking into account correlation. The risk horizon for the exposure calculation depends on the call frequency, it is usually calculated as: Risk horizon = Call frequency + 10 bdays (liquidation period) Deutsche Bank Risk Exposure Management Group 8 Risk Measurement for Collateralized Counterparties (2) Time Horizon for a PFE calculation with daily margining: 10 bdays/ 14 calendar days In DB Risk systems the calculation is done over the immediate next 10 business days (i.e. 14 calendar days by daily margining). Short-term PFE (VaR) = 10bdays PFE – CCE after Collateral However, the risk over any 10 bdays period in the life of the portfolio should be considered. Deutsche Bank Risk [ TODAY 10 DAYS 10 DAYS 10 DAYS [ [ [ 10 DAYS MATURITY Exposure Management Group 9 Simple Derivatives Products: Overview 1. Introduction to Exposure Forward Management 2. Exposure Modelling & Measurement Interest Rate Swap (IRS) Swaption 3. Simple Derivative Products Options 4. Risk Reducing Techniques 5. Stress Tests Deutsche Bank Risk Exposure Management Group 10 Simple Derivatives Products: Introduction to Exposure Calculation 1. Introduction to Exposure The exposure calculation involves always the following steps: Management 2. Exposure Modelling & Measurement 3. Simple Derivative Step 1: Understand the trade structure and identify the main risk drivers Trade cashflows and respective risk driver, e.g. FX spot rates, equity prices, IRs, CS, etc. Products 4. Risk Reducing Techniques Step 2: Identify the trade sensitivity (impact of the underlying on the CCE) 5. Stress Tests Appreciation/ depreciation of base currency, increasing/ decreasing stock prices, increasing/ decreasing IRs, credit spreads widening/ tightening Step 3: Model the underlying (simulate future levels) E.g. FX rates are assumed to be log-normally distributed Step 4: Re-price the product using the simulated levels of the underlying, determine CCE & PFE Deutsche Bank Risk Exposure Management Group 11 Forwards 1. Introduction to Exposure A forward contract is an agreement between two counterparties that fixes the terms of an exchange that will take place between them at some future date. The contract specifies the underlying, the price at which the exchange takes place (strike) and the date (or range of dates) in the future when the exchange will take place. A forward contract is a contract for forward delivery. No intermediate cashflows until delivery. Forward contracts are tailor made - both the size of the transaction and the date of forward delivery are agreed between the counterparties. Compare to Futures! Management 2. Exposure Modelling & Measurement 3. Simple Derivative Products 4. Risk Reducing Techniques 5. Stress Tests Deutsche Bank Risk Exposure Management Group 12 Forwards: Specifics 1. Introduction to Exposure Settlement risk considerations for FX: Management 2. Exposure Modelling & Measurement 3. Simple Derivative Products 4. Risk Reducing Techniques In an FX forward both parties exchange a currency amount. This exchange is mostly free of delivery, i.e. unsafe settlement. If the settlement fails, the full amount DB expects is at risk. Due to the global nature of the business and time lags between different locations, a whole time window has to be monitored (extended liquidation period). FX Settlement Limit in Paragon should be set up! 5. Stress Tests Forward on equity: forward on counterparty’s own shares Basic assumption of each PFE calculation in such cases: the counterparty has defaulted! Deutsche Bank Risk In this case the share price can be assumed to drop to zero! In a forward sale the MtM and therefore the PFE is 100% of the notional! We call this Wrong-Way Risk! Exposure Management Group 13 FX Forward*: Example 1. Introduction to Exposure Example: DB buys EUR 10 mn vs. USD @ a strike of 1.3633 USD/ EUR in 12M Management 2. Exposure Modelling & Measurement USD 13.63 mn 3. Simple Derivative Products DB 4. Risk Reducing Techniques 5. Stress Tests EUR 10 mn Main risk driver: EUR/ USD FX rate Trade sensitivity: USD depreciation vs. EUR Deutsche Bank Risk Ctpy Assume USD depreciates vs. EUR to 1.42 USD/ EUR Then the MtM of the trade will be positive for DB as under the Forward DB is supposed to pay only 1.3633 USD for 1 EUR instead of the market rate of 1.42 USD/ EUR (i.e. less than market) Note that a series of FX Forwards is called a “Strip”. Exposure Management Group *FX = Foreign Exchange 14 FX Forward: Modelling the Underlying Risk Factor (1) 1. Introduction to Exposure The model assumes that financial assets follow a random walk without drift for Developed markets; for Emerging markets jump factors may be included. Efficient market hypothesis (weak form): the current security price instantaneously and fully reflects all information contained in the past history of the security price. For exposure purposes in closed form this translates to the log-normal distribution. Model simplification (stress formula): Management 2. Exposure Modelling & Measurement 3. Simple Derivative Products 4. Risk Reducing Techniques 5. Stress Tests Stressed Spot = Spot * exp( ±1,645 * Vol * √ Time ) From statistics: ±1,645 is the z-value of the normal distribution (Gauss’ bell curve) – representing the confidence level of 95 % Vol = Volatility: based on historical data, the volatility measures the fluctuation √ Time = square root of time in years Deutsche Bank Risk Exposure Management Group 15 FX Forward: Modelling the Underlying Risk Factor (2) 1. Introduction to Exposure Exercise: Management 2. Exposure Modelling & Measurement What would be the stressed EUR/ USD level in 12 months considering the following input values? 3. Risk Systems Overview 4. Simple Derivative Products Hint: use the stress formula! 5. Case Study 6. Risk Reducing Techniques 7. Stress Tests 8. Policy Overview Spot level: 1.3647 USD/ EUR Z-value: 1.645 Volatility: 9.8% Time to maturity: 12 months Deutsche Bank Risk Exposure Management Group 16 EUR/ USD FX Simulation: Example Application of the model to the EUR/ USD FX rate, trading at 1.3647 USD/ EUR EUR / USD FX Rate 1.70 1.60 1.50 1.40 95th percentile 5th percentile 1.30 1.20 364 D 334 D 303 D 273 D 242 D 212 D 181 D 151 D 135 D 121 D 104 D 90 D 75 D 61 D Today 1 D 2 3 D 5 D 7D 10 14 D 21 D 30 D 37 D 44 D 1.10 Simulation time points: more narrow at the beginning, more spread out in the future Advantage of the log-normal model: Simulated levels of the underlying risk factor are always positive! Deutsche Bank Risk Exposure Management Group 17 FX Forward: Quick PFE Calculation 1. Introduction to Exposure Management 2. Exposure Modelling & To get a PFE number, the simulated levels of the EUR/ USD FX are used. For a quick proxy, the stress formula could be used to “simulate” the FX rate at maturity: Measurement 3. Simple Derivative Simulated EUR/ USD FX: 1.3633 * exp(1.645 * 9.8% * √1)) = 1.6034 Products 4. Risk Reducing Techniques 5. Stress Tests Peak PFE is then calculated by re-pricing the trade at the potential future FX rate: 6. Policy Overview Peak PFE in EUR = EUR 10 mn – USD 13.633 mn/ 1.6034 = EUR 1.4975 mn PROs: very quick, gives a good proxy of the FX risk for short-term DM currencies CONs: only Peak PFE, no PFE profile, not appropriate for EM nor trades with peak not at maturity For a PFE Profile on plain vanilla trades cEIS Pre-Deal Checker to be used: a full simulation of the FX rate by Matrix, re-pricing at each timepoint on the grid Deutsche Bank Risk Exposure Management Group 18 Interest Rate Swap (IRS) 1. Introduction to Exposure Management Role of the swap market: 2. Exposure Modelling & attracting investors with certain characteristics. Measurement 3. Risk Systems Overview 4. Simple Derivative The swap market helps issuers to find a financing corresponding to their specific needs by Banks act as mediator between issuers and investors vs. compensation. The swap market is used to transformed fixed to floating coupons and vice versa. Products 5. Risk Reducing Techniques 6. Stress Tests Issuers with specific financing needs Deutsche Bank Risk Exposure Management Group Swap market Investors with specific debt requirements 19 Interest Rate Swap (IRS): Example 1. Introduction to Exposure Management 2. Exposure Modelling & Notional: EUR 100 mn Tenor: spot – 5Y DB pays: 3M Euribor, QTR, act/ 360 DB receives: 0.75% p.a., QTR, act/ 360 Trade sensitivity: falling EUR interest rates Measurement 3. Risk Systems Overview 4. Simple Derivative Products 5. Risk Reducing Techniques 6. Stress Tests Interpretation: DB receives a fixed rate, hence if the EUR IRs fall, DB will receive a higher than the market implied rate, meaning the value of the swap will increase 3M Euribor DB Ctpy 0.75% p.a. Deutsche Bank Risk Exposure Management Group 20 Options: Definitions 1. Introduction to Exposure Definition: an option is a contract that gives the holder the right, but not the obligation to buy (call) from / sell (put) to the option writer a certain asset (here FX amount) at a pre-determined price (strike) on a future time point (exercise date). Option positions: Management 2. Exposure Modelling & Measurement Option position Trading name Description Buy Call Long Call Right to buy an asset 4. Risk Reducing Techniques Sell Call Short Call Obligation to sell an asset upon exercise to the holder 5. Stress Tests Buy Put Long Put Right to sell an asset Sell Put Short Put Obligation to buy an asset upon exercise from the holder 3. Simple Derivative Products Option styles: European style: exercise possible only on expiry date American style: exercise at any time up to and including expiry date Bermudan style: exercise at several pre-defined time points up to and including expiry date Asian style: the payoff depends on the average underlying price over a pre-set period of time Main risk driver: change in the market price of underlying, e.g. share price, FX rate, etc. Deutsche Bank Risk Exposure Management Group 21 Payout Diagram of a Bought Call Option (Exposure Perspective) Option premium ignored for simplicity! Main risk driver: underlying asset price, sensitivity to increasing prices Call options sold to non-collateralized counterparties are risk free, to collateralized counterparties bear claw-back risk! 0.1 0.1 Exposure 0.0 0.1 1.30 1.35 1.40 USD/ EUR 1.45 1.50 “In the money” “Out of the money” -0.1 0.1 ATM* Deutsche Bank Risk *ATM: „at the money“ Exposure Management Group 22 Payout Diagram of a Bought Put Option (Exposure Perspective) Option premium ignored for simplicity! Main risk driver: underlying asset price, sensitivity to falling prices Put options sold to non-collateralized counterparties are risk free, to collateralized counterparties bear clawback risk! 0.1 0.1 Exposure 0.0 0.1 1.30 1.35 1.40 USD/ EUR 1.45 1.50 “Out of the money” “In the money” -0.1 0.1 ATM* Deutsche Bank Risk *ATM: „at the money“ Exposure Management Group 23 Combined Option Positions (Exposure Perspective) Combined Option Position = synthetic asset position without buying/ selling the asset By European Options = Forward contract Long Call + = + = Short Call Deutsche Bank Risk Synthetic Long Asset Short Put Long Put Synthetic Short Asset Exposure Management Group 24 Risk Reducing Techniques: Overview 1. Introduction to Exposure Early Termination Clauses (ETCs) Management A technique to reduce the economic tenor of the transaction to a duration proportional to the counterparty’s credit standing and CO’s risk appetite 3. Simple Derivative Products The transaction is settled at the MtM on the exercise date; 4. Risk Reducing Only mutual termination clauses are relevant for the exposure calculation; 2. Exposure Modelling & Measurement Techniques 5. Stress Tests Collateral agreement (CSA: Collateral Support Annex): exposure calculation over the relevant margin call frequency period and monitoring under the PFE (VaR) limit. Dynamic Credit Hedging Deutsche Bank Risk The exposure is hedged via CDS contracts; Objective: maintain the P&L impact of a counterparty’s default within the pre-defined credit lines; Exposure Management Group 25 Early Termination Clause (ETC): Definition 1. Introduction to Exposure Management 2. Exposure Modelling & Measurement 3. Simple Derivative Products 4. Risk Reducing Longer dated trades should contain an ETC, in specific: Trades with tenor > 10y for uncollateralized counterparties Trades with tenor > 30y for collateralized counterparties ETCs are defined as either: Mandatory Cash Settlement Clause: settlement at current MtM at a specified date Optional Early Termination Clause (Mutual Termination Clause): right to call on one or more dates to terminate the transaction vs. settlement at current MtM Trigger based Optional Early Termination Clause: optional termination by the non-affected party upon a trigger event (e.g. rating downgrade) vs. current MtM Techniques 5. Stress Tests Deutsche Bank Risk PFE and Limit tenors (system implementation since 2014): For Mandatory Early Termination Clauses exposure is calculated till the first termination date. For Optional Early Termination Clauses exposure is calculated till maturity, tenor breach if tenor of the limit is earlier than next ETC and maturity. For Trigger based Optional ETC exposure is calculated till maturity. Exposure Management Group 26 Collateral Agreement: Terms 1. Introduction to Exposure The Credit Officer is responsible for defining the following parameters: Management 2. Exposure Modelling & Measurement 3. Simple Derivative Products CCE Limit: represents DB’s risk appetite; generally a multi-product limit to cover all products traded under the collateral agreement. PFE (VaR) Limit: should cover Threshold Amount + MTA + PFE (VaR) Collateral Plan Type: unilateral (one-sided, i.e. supranational & international institutions) or bilateral (both counterparties post collateral) Call Frequency: preferred is daily, it depends on the client’s operational capacity to value the portfolio and execute margin calls Threshold Amount & rating triggers: preferred is zero threshold; 4. Risk Reducing Techniques 5. Stress Tests If CCE < Threshold → collateral is NOT required Deutsche Bank Risk Independent Amount (Initial Margin), usually for Hedge Funds, upfront collateral to cover potential MtM movements between collateral calls Minimum Transfer Amount (MTA): collateral requirement must exceed the MTA prior to any collateral exchange (minimize the number of collateral transfers) Eligible Collateral: the collateral should be LIQUID (easy to liquidate in case of default), preferred: Cash and Government bonds, see “Collateralized Trading Policy” for details Product Coverage Rounding Increment (preferred: small, e. g. EUR 0.1m) Exposure Management Group 27 Calculation of Collateral Calls (1) 1. Introduction to Exposure Collateral calls are typically calculated as follows: Management MtM of all trades covered by the agreement (netting applied) 2. Exposure Modelling & + Independent Amount Measurement - Threshold Amount (uncollateralized exposure) 3. Simple Derivative Products = Credit Support Amount 4. Risk Reducing - Collateral Held Techniques = Delivery / Return Amount 5. Stress Tests If Delivery/ Return Amount > MTA amount, it is rounded according to the Rounding Increment to give the final Collateral Call Amount. Deutsche Bank Risk Exposure Threshold MTA Rounding Increment Action 23 20 5 2 No margin call 23 20 0 2 Call 4 23 20 2 2 Call 4 17 20 2 2 Return 2 Exposure Management Group 28 Calculation of Collateral Calls (2) 1. Introduction to Exposure Exercise: Management 2. Exposure Modelling & Consider the following situation: Measurement 3. Simple Derivative Products CCE: EUR 16 mn 4. Risk Reducing Threshold: EUR 15 mn MTA: EUR 3 mn Rounding increment: EUR 1 mn Techniques 5. Stress Tests Is DB entitled to execute a collateral call? Deutsche Bank Risk Exposure Management Group 29 Eligible Collateral and Haircuts Collateralized Trading Policy 1. Introduction to Exposure Management 2. Exposure Modelling & According to includes: Currencies of major developed markets: USD, GBP, EUR, JPY, CAD, AUD & CHF Highly liquid, easily priced, capital efficient marketable securities, currently government bonds of: USA, UK, Germany, France, Japan, Canada, Switzerland, Denmark, Netherlands Measurement 3. Simple Derivative Products 4. Risk Reducing Techniques Cash and or securities should be held either by Deutsche Bank or preferred third party custodians. Non-standard collateral is considered on a case by case basis subject to approval by CM, Treasury, business, Legal and CRM (at least A2) with guidance from EMG. 5. Stress Tests Deutsche Bank Risk the “Collateralized Trading Policy” (May 2014) eligible collateral Exposure Management Group 30 Collateralized Counterparties: Practical Aspects 1. Introduction to Exposure How much business could be done under a collateral plan? Management 2. Exposure Modelling & Measurement 3. Simple Derivative Products 4. Risk Reducing Techniques 5. Stress Tests The potential trading volume depends on the difference between PFE (VaR) Limit and (Threshold + MTA). The greater the room for potential CCE changes, the bigger the business volume that could be accommodated under the limit. PFE (VaR) limit > Threshold + MTA, otherwise the relationship is effectively uncollateralized. In addition to the portfolio PFE (VaR) in cEIS following is reported: Total Exposure = CCE after collateral + PFE (VaR) Availability under the PFE (VaR) limit calculated as: PFE (VaR) Limit – { Max [(CCE after Collateral); (Threshold + MTA)] + PFE (VaR)} Variation Margin (Collateral): received or posted, direct feed from dbMargin and Initial Margin (upfront collateral) Deutsche Bank Risk Exposure Management Group 31 Stress Test: Overview 1. Introduction to Exposure Management 2. Exposure Modelling & Measurement 3. Risk Systems Overview Stress tests allow to identify the impact of large instantaneous market moves on the portfolio exposure Stress tests are a complement to the PFE, but not a replacement of it! Currently there is not a stress test limit framework in place! 4. Simple Derivative Products 5. Risk Reducing Techniques Stress tests can be used for: 6. Stress Tests Visualisation of the trade/ portfolio sensitivity and risk drivers identification Offsetting trade recommendations Comparison against limits/ appetite as a complement to the standard PFE Communication with external clients (clients, regulators) Deutsche Bank Risk Exposure Management Group 32 Types of Stress Tests 1. Introduction to Exposure Management 2. Exposure Modelling & Type of Scenario Portfolio composition may be different Missing risk factors* Single factor Readily available in cEIS Easy to understand Ignores correlations / multi-factor effects Hard to compare against limit/appetite Expected / Economic Usually more relevant than historical Useful for capital impact planning and bank-wide aggregation Not readily available Not flexible and can be misleading at counterparty level Constructed Scenarios “custom” made for each portfolio All sensitivities available, useful for custom analysis Scenario may not be the economically most relevant Expensive, less frequent 3. Simple Derivative 4. Risk Reducing Techniques 5. Stress Tests Cons Easy to design Easy to explain Explicitly includes correlation Historical Measurement Products Pros * For example: CDS did not exist in 1994, so credit spreads were not included as a risk factor into the analysis. Deutsche Bank Risk Exposure Management Group 33 CRM Derivatives Stress Testing 1. Introduction to Exposure Most stress tests currently are run by EMG or are system-generated: Management 2. Exposure Modelling & Measurement 1. Historical scenario: EMG: designed/ custom scenarios run on an ad hoc basis 3. Simple Derivative Products 4. Risk Reducing 2. Single-factor stress: cEIS: default scenarios run daily Techniques 5. Stress Tests 3. Expected scenario: MRM: Global Downturn Scenario as part of quarterly capital stress; EMG: ad hoc on request (e.g. EUR/USD parity or Greece restructuring scenarios run in 2010) 4. Constructed scenario: Deutsche Bank Risk EMG: monthly as part of global stress test released to each credit team, available as Excel version and in dbState Exposure Management Group 34 Stress Test: Example (1) 1. Introduction to Exposure Suppose an interest rate swap portfolio has the following stress graph: Management 2. Exposure Modelling & Measurement 100 80 4. Risk Reducing Techniques 60 5. Stress Tests EUR mn 3. Simple Derivative Products 40 Limit 20 Stressed CCE 0 -20 -40 -300 bp -200 bp -100 bp 0 100 bp 200 bp 300 bp Change in EUR Interest Rates Deutsche Bank Risk Exposure Management Group 35 Stress Test: Example (2) 1. Introduction to Exposure Management Conclusions from the graph: 2. Exposure Modelling & Measurement 1. The portfolio is sensitive to rising EUR interest rates 2. Assuming an instantaneous increase by 100 bps, the CCE will increase from EUR 23 mn to EUR 45 mn 3. The CCE limit will be breached if the EUR interest rates rise by about 130 bps 3. Simple Derivative Products 4. Risk Reducing Techniques 5. Stress Tests An offsetting trade would be: DB receives fixed and pays floating on EUR 150 mn up to 10 years. Deutsche Bank Risk Exposure Management Group 36 Stress Test: Example (3) 1. Introduction to Exposure Management With the recommended trade the stress graph changes to: 2. Exposure Modelling & Measurement 100 3. Simple Derivative Products 80 4. Risk Reducing Techniques 60 EUR mn 5. Stress Tests 40 Limit 20 New Stressed CCE Old Stressed CCE 0 -20 -40 -300 bp Deutsche Bank Risk -200 bp -100 bp 0 100 bp 200 bp Change in EUR Interest Rates Exposure Management Group 300 bp 37