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Portfolio Analytics & Reporting

Release 25.01

new module 

Mandates and Investor onboarding

Easily create and manage various types of business entities built from portfolios and model portfolios. Once created, Investment Mandates, Distributed Mandates, and Products can be used across domains such as Performance, Compliance, and ESG

 

Benefits

Investment Mandates allow operations teams to manage a variety of business entities independently of back-office Portfolios for different use cases, such as:

  • Flexible grouping of Portfolios to reflect responsibility over time
  • Assign unlimited number of benchmarks to the entity
  • Manage lifecycle dates on Investment Mandates
  • Use as scope for IAP Performance
  • Define compliance rules against the Investment Mandate
  • Calculate and report Performance on Entity levels
  • Use as central scope selection in Portfolio Analysis and next-generation Web Apps

Defining an Investment Mandate from a set of Portfolios in SimCorp Dimension

 

Investment Mandates

 

Assigning multiple purpose specific benchmarks to an Investment Mandate

 

Investment Mandates

 

Using Investment Mandates as scope for a Performance analysis in the InvestApp

 

Subscription based licensing

Mandates and Investment onboarding

Sales module dependency

IBOR Manager

 

enhancement

Multi-level groupings and drill-down

 

Performance Analysts can now create drill-down views on Performance, Contribution, and Attribution while also having the flexibility to dynamically switch grouping hierarchies and add more groupings to the view.

 

Benefits 

  • As performance controller, you are now able create content cards with pre-defined grouping hierarchies based on available attributes from SimCorp Dimension
  • As a performance analyst, you can use the content cards and change grouping order on the fly
  • Scoping of portfolio, benchmark, and Investment Structure node is used to define the top of the hierarchy

 

Drill-down to any level and dynamically switch hierarchy

 

 

Performance - drilldown

 

Performance contribution and attribution using a dynamic drill-down hierarchy 

Subscription based licensing

Investment Analytics Platform - Performance

Sales module dependency

Performance Book of Records

 

 

enhancement

Money Weighted Returns and average market values

We continue to add more performance analytics within the Investment Analytics Platform. While largely independent of SimCorp Dimension versions, here are the newly added analytics from this three-month development cycle.

The new analytics are:

  • Internal rate of return for portfolio and benchmark
  • Money-Weighted Return variant: Modified Dietz
  • Average Market Value and Cashflow over a period

Benefits 

  • For some investment managers, especially in the North American market, Money-Weighted returns are considered best practice when reporting to clients and stakeholders. 

 

Performance - MWR card

 

IRR and MD available as new analytics in the InvestApp

 

Performance - Select new analytics

 

Subscription based licensing

Investment Analytics Platform - Performance

Sales module dependency

Performance Book of Records

 

 

enhancement

 

View Performance according to Investment Structure

View and report performance according to an investment structure to gain insights into active returns from investment decisions. Using the InvestApp on the Investment Analytics Platform is now possible, as well as creating downstream data warehouse and reporting flows using the investment structures. Returns can be compared to any benchmark, either SAAM, blended index, or market index selected on the fly

Benefits 

  • As performance analyst, you can now see performance broken down by nodes in a selected investment structure
  • Compare portfolio returns against any benchmark on the fly
  • Select a node in an investment structure as your basis and apply other dynamic groupings from there

 

Performance - MWR card

Reporting performance according to an investment structure

 

Subscription based licensing

Investment Analytics Platform - Performance

Sales module dependency

Performance Book of Records - Integrated Investment Processing

 

Compare Portfolio vs. Portfolio and Benchmark vs Benchmark

Additional flexibility has been added to IAP Performance so users can now compare any scope to any benchmark. Available scopes are Portfolios, SAAM benchmarks of any portfolio, blended indices, or market indices.

Benefits 

  • As performance analyst, you are now able see Performance for Portfolio vs Portfolio as well as compare any index or benchmark against another
  • Flexibility in scoping and benchmarking through the InvestApp and Performance APIs

 

Performance Bm Vs Bm

 

Compare one SAA benchmark to another SAA benchmark for a Portfolio

Subscription based licensing

Investment Analytics Platform - Performance

Sales module dependency

Performance Book of Records - Integrated Investment Processing

 

enhancement

Decomposition of Derivatives

Market value-based performance, i.e. TWR calculated as PnL over Market value, will lead to extreme returns for derivative instruments where market values fluctuate around 0. This is an issue for instrument-level performance and detailed performance. For TWR contributions and total portfolio level returns, market value-based performance will provide meaningful results. 

To provide for a better instrument-level performance for derivatives, decomposition of derivatives is introduced. The solution splits derivative positions into fictitious spot and cash positions, keeping the aggregated performance unaffected. The solution allows users to calculate exposure-based performance for the spot position and manage the gearing from taking on extra exposure via the fictitious cash position. 

Benefits 

  • As performance analyst, you can now toggle decomposition of derivates in the InvestApp, whereby the market value of the relevant derivatives is split into a spot and a cash leg with different attributes as described above.
  • As a report developer, you can request performance to be calculated and delivered for reports or data warehouse, either with derivatives decomposed or not
  • Spot and cash legs are assigned model portfolio and security properties based on the Exposure Distribution Scheme assigned to the Data Source Definition for the Investment Analytics Platform.

 

 

Performance - decompositionDerivatives

 

InvestApp users can not switch on Decomposition of Derivatives of the fly and have spot/cash legs grouped in Performance based on the Exposure Distribution Scheme of SimCorp Dimension

Subscription based licensing

Investment Analytics Platform - Performance

Sales module dependency

Performance Book of Records - Decomposition of Derivatives

 

 

enhancement

Internal risk module

In the Risk module, several enhancements have been made to improve usage of imported risk factor sensitivities from external sources in the SimCorp Dimension Risk analytics calculation:  

  • The risk positions for Parametric VaR and Ex-Ante Volatility calculated using imported sensitivities are now scaled using exposure value for the following instrument types: futures, forwards, options, OTC options, warrants, CFD, and covered warrants. The exposure accounts for underlying price, delta, and balance nominal/number, and gives better insights into the risk valuation for those instruments compared to previously used Dirty Value Total scaling. Those changes are available from 24.10 SimCorp Dimension version. 
  • FINCAD credit derivatives price method can now be used alongside externally calculated sensitivities for the Credit Default Swaps and CDS options.  
  • Disable currency risk option has been introduced in the Risk Measurement calculation for Parametric VaR and Ex-Ante Volatility models. This functionality enables you to make the choice if you want to calculate currency risk sensitivities using SimCorp Dimension logic or import them from external sources.  This can be also useful when you want to exclude currency related risk factors from the calculation completely and analyse risk analytics without currency risk exposures.

    “Lowest price to call” maturity convention in the risk calculation.

    As of version 25.01, you can ensure consistent effective maturity data calculations in the basic analytics and risk simulated scenarios for FRN and MIT callable bonds with the following price methods: 
  • Theoretical price 
  • Quoted price + yield curve. 

To use this enhancement, you can apply new “Lowest price to call” maturity convention to indicate when to calculate maturity. To ensure a consistent approach for determining the optimal call date in a base scenario and a scenario with market data shifts, this new maturity convention minimizes the NPV for both scenarios. 

SimCorp Dimension estimates the optimal call date for the issuer: 
  • In base scenarios, by finding the lowest adjustment spread to minimise the NPV 
  • In scenarios with market data shifts, by considering the adjustment spread from the base scenario. 

The simulated scenarios with the market data shifts are used in Simulated VaR, and the Stress Test scenarios and the calculated analytics can be analyzed in the Risk Analysis Manager. 

New convention can also be used in the Market Data Stress Test available in the Strategy Manager solutions and Market Data Scenarios calculated in the Portfolio Calculation.  

Previously, SimCorp Dimension used the different methods with the “yield-to-worse” maturity convention for estimating the optimal call date for the issuer: 

  • In base scenarios, SimCorp Dimension estimated the optimal call date for the issuer thereby minimizing the yield. 
  • In scenarios with market data shifts, SimCorp Dimension re-estimated the optimal call date for the issuer minimizing the NPV in the simulated scenarios. Alternatively, the optimal call date determined in the base scenario may remain unchanged. 

Minimizing both yield and NPV can lead to significantly different exercise dates in the base scenario, resulting in different adjustment spreads. As a result, you can see significant jumps in the maturity date and NPV, even with small market data shifts, which can affect risk calculations. If the optimal call date in shifted market data environments remains unchanged, there could be a significant underestimation of risks, as it would fail to capture potential increases in expected maturity for long bond positions in the event of rising credit spreads. The aim of the new “lowest price to call” maturity convention is to minimise the NPV for both scenarios, ensuring a consistent approach for determining the optimal call date. 

Subscription based licensing

Risk Analysis Manager 

Sales module dependency

Risk Reporting 

Various risk model modules

 

 

enhancement

 

Hedge Accounting 

The new enhancement improves calculation of the of the hedge effectiveness and related EOP transactions under BilMoG regulation. We have improved the handling of the combination of low/negative interests in the past (at hedge-inception) and significantly higher interest rates today.  

Specifically, we have improved the handling of the specific case, where there were no fixings in the descriptive data of the instrument between the issue date and the first coupon. In this case, the reference rate (used for the calculation of clean price, excluding pull-to-par (CV (ct,y0,s0,ro ) for the floating legs of swaps and floating-rate bonds) will now be calculated based on the the forward rate from the yield curve.  

Additionally, the rate used for this calculation can be viewed in the reference rate field, excluding pull-to –par, in the Hedge Effectiveness Monitor window and in the dedicated database tables. 

Subscription based licensing

Hedge Accounting  

Sales module dependency

No dependencies

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