Belong to future

Models are not merely esoteric mathematical algorithms that remains confined to a select few and is hosted by an expensive and hardware hungry software. Models can be simple to understand, easy to integrate, and comfortable to work with. That is what we focus on – designing models for every day use in the organisation in various areas of risk and financial management.

Models are designed not only to solve a problem but also to avoid a problem. Models analyse the past and integrate the lessons to design indicators whenever such events are likely to repeat in future. If such events are favourable events, models help organisations to repeat the performance.

Models we develop and implement are essentially useful in two areas – (1) Risk management and (2) Finance and accounting. We design the model and hand over the computing iterations to the client for them to integrate with their existing system. Often the iterations designed are so simple that they can be built around a standard spreadsheet.

Risk Management Models

Risk captures the essence of uncertainty that lies at the root of any deviation from expected. Organisations exposed to risks need to have resilience to tide over the adverse impact of such unfavourable occurrences. This resilience comes in form of adequate finance to face these risks. The finance can be sourced from the owners in form of capital or internally financed through product and service pricing.

Our risk management models identify root causes of losses and predicts their repetition in future. Probable amount of such future losses is assessed to enable the organisation to consider them in their future strategies. Thus organisations develop the strength to overcome threats that a uncertain future may have in store. These models cover a wide range of risk factors including credit risk, liquidity risk, interest rate risk, sovereign risk, legal risk, reputation risk, operation risk, fraud risk, IT risk, audit risk, and others.

Finance and Accounting Models

These models use accounting information system as a base and then analyse various factors to see how they behave in face of various levels of performances. These factors are then translated into reporting objects and reports are designed around them. These models stand out from ordinary text book models by the virtue of their ability to foresee changes in the levels of performance. The models may be used for different purposes, for example to foresee dividend crisis or asset replacement challenges, and to suggest guidelines on how to face them.