Richard QuigleyCEO, DataGenic Ltd.
Of all the issues and requirements that I come across in the industry, the winner by a country mile is forward curve management. This functional area concerns both buy and sell side organisations and is not restricted to a particular sector. Quite simply, if you are engaged in market trading activities that facilitate you buying, or selling forward, goods/services (physical or financial) the importance of forward curves is paramount for mark-to-market, risk exposure, key inputs for derivative pricing models, identification of future arbitrage opportunities and trader evaluation strategies.
What is difficult about forward curve management?
The calculation of a forward curve is not necessarily difficult in isolation. Any skilled Excel or VBA Excel user can take data and create some conditional expressions to form the calculation. However, the difficulty is accentuated when you have many different products (asset classes) that have different time horizons, different rollover and holiday calendars, different data integrity checks or different liquidity to name a few.
Some further factors that may compound the difficulties and complexities of forward curve construction and management for organisations are:
- Forward curve methodology must adhere to compliance regulations - If you are a public listed company in the US or Europe, there is a regulatory requirement to ensure that any profit/loss forecasts use a robust, transparent and auditable methodology, which will require the forward curve for one of the key inputs.
- Mitigate key-man risk - Many companies (large and small) still rely on 1 or 2 individuals to provide the forward curves to the Risk and Reporting System. Staff attrition, absence, etc., tend to upset the daily routine and reliability of the numbers.
- Lack of any universal forward curve construction standards – Ask any two companies what their forward curve methodology is, for let’s say, a traded energy commodity, and you will get two different answers. Both can equally be correct as there is no defined right or wrong – just sensible, methodical and defined practice.
- Forward Curve complexity – The characteristics of each market such as liquidity, volatility, market price sources or seasonality are different, and they require different modelling/calculation techniques.
- Curve storage & views – A forward curve is no longer a time series and requires to be treated differently in a database environment to ensure that multiple curve views are available to the user. They may include Dated, Label, Tenor Point History, 3D History Surface.
It would be fair to say that most companies, big and small, struggle each day with forward curves, usually in an Excel environment, which comes with its own issues. We, at DataGenic, thought it was time to move away from Excel into a more stable, transparent, easy to use, auditable, easy to maintain application that can cope with any curve thrown at it!
Visit our website for further details on Genic CurveBuilder – it almost makes coffee for you in the morning!
