Risk Model Development & Risk Analytics

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Our team of specialists can help you to develop your risk models

We have worked with a host of financial institutions to transform their risk models, helping them to save large amounts in Regulatory Capital charges and assisting them with compliance of complex regulatory requirements.

Risk Model Development & Risk Analytics

Setup & Information

What is ORE?

In this video, we give an overview
of what is Open-source Risk Engine (ORE):

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- How it was created (i.e. its history and original purpose)

- What it is now and who is currently using it- How it can be extended through already existing modules as part of ORE+

- How Acadia can help you expend it in many ways possible for your own purposes and needs through our expert services

- A high-level view on how to install and use it

How to install ORE?

In this video, we explain how to
install and test Open source Risk Engine

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How to install and test Open source Risk Engine
(ORE) in Visual Studio 2022
using the package manager vcpkg and CMake as a way to build the library.

We will provide you with step-by-step instructions on:
00:00 Introduction
02:11 Chapter 1 - How to download, install & configure vcpkg
05:10 Chapter 2 - How to download & build ORE
with CMake in VS with the "Open/Folder" option
10:05 Chapter 3 - How to run one of ORE examples

Files Configuration

Trades XML Files

In this video, we walk you through
the ORE XML trade detail specification

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In the context of ORE, these XML capture
the individual trade economics for any type
of OTC derivatives instrument.In particular,
we show a few examples of trades and their most common structure:
- Interest Rate Swap
- Equity Swap
- Bond Total Return Swap (TRS)
- Credit Default Swap (CDS)
- FX Forward- Equity Forward
- European Equity Option
- Interest Rate European Swaption
- Index CDS Option
- Equity_Digitial Option
- Equity OneTouch Option
- Equity European Barrier Option
- Cross Currency Swap Amortising

How to change the reporting currency?

In this video we explain how to change
the reporting currency when pricing a trade

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To illustrate how this works, we use data from the video "TA001 - Equity Option with Implied Volatility Surface" which is in EUR, then we configure the inputs files and finally, we add the required market data for a USD collateralization. This involves adding the followings curves in curveconfig.xml and todaysmarket.xml and all the corresponding market data in the marketdata.txt file:
- 1 EUR-USD Cross-Currency Curve
- 1 USD Discounting Curve
- 1 USD Projecting Curve
- 2 new EUR Projecting Curves

General Configuration & Master File

In this video, we explain the general setup
of ORE , how the master file contains
all information regarding the other input files

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It is recommended to watch this video when starting to learn about ORE as it gives a good overview of all the files involved when performing any analysis, from simple NPV to more complex CVA (some additional files are needed in this situation though).
There are 3 parts talked about for the master file:
- Setup: This part contains general information about the date of the calculation, the location of the input/outputs files, the verbosity of the log file...

- Markets: This part is useful when a specific market configuration needs to be created

- Analysis: This part provides information about the type of analysis that needs to be performed

Trades & Analytics

Interest Rate Swap

In this video, we explain how to setup
ORE to price an interest rate swap.

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In particular, we describe the following inputs files:
- Master (or ore.xml)
- Todaysmarket
- Curveconfig
- PricingEngine
- MarketData

Equity Option with Implied Volatility Surface

In this video, we explain how to setup ORE
to price an equity option with implied volatility.

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How to set up ORE to calculate the NPV of an equity option with implied volatility surface.
This is a good video to watch for beginners as it goes into a bit more detail regarding the connection between all input files than the pricing videos that will be produced next.

Technical Finance

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Risk Model Development & Risk Analytics Case Studies

Counterparty Credit model development - Swiss-based Tier 1 Bank

Engagement Goal:

A bank hired Quaternion Quant Services to help with the renewal and re-approval of Counterparty Credit Models that were to be used for regulatory capital under the Basel III Internal Model Method. They also requested that this be extended across multiple regulatory regimes.

Project Description:

Quaternion was engaged as the lead consulting firm in a long-term program to renew and seek approval for a modern, cross asset class, post-crisis suite of CCR IMM models. The resulting models have been submitted and gained regulatory approval in multiple EU and non-EU regulatory regimes. The overall program of work involved research, development (including prototyping), documentation and submission assistance for a comprehensive suite of models. The work was done to the SR 11-7 standard mandated by the Federal Reserve bank. The regulatory submissions have been successful in multiple regulatory regimes.

IBOR replacement at Tier 1 Global Investment Bank

Engagement Goal:

A bank required the development and implementation of IBOR transition upgrades to a productive risk library.

Project Description:

Quaternion Quant Services developed and implemented upgrades to the productive risk library of the bank in order to ensure readiness for IBOR transition. This project focused on necessary conceptual changes in the core rates simulation engine, upgrades in the trade representation language replacing IBOR with the new benchmarks as well as the adaption of the risk driver extractor to extract the new benchmarks and their use as explanatory variables in the American Monte Carlo engine. The team also successfully upgraded and expanded the calculation of interest rate shocks to the portfolio. Quaternion’s role included conceptual work, implementation, testing and documentation.

Market Risk and IFRS reporting support for a German Bank

Engagement Goal:

A bank required the implementation of an engine capable of computing IFRS P&L and risk numbers for the entire balance sheet of the bank.

Project Description:

Quaternion was engaged to implement a pricing and risk engine that could compute key numbers for the reporting and risk management of IFRS numbers for the finance and front office departments of the German Bank. We introduced the Open Risk Engine (ORE) covering the entire spectrum of financial instruments of the bank (deposits, loans, money market, bond and derivative trades) to compute current IFRS margins for all positions and risk numbers that allowed the bank to manage its overall IFRS income.

Introduction to the Open Source Risk Project

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Quantitative Derivatives Pricing and Risk Modeling Program

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