It can be hard to keep a steady pace in the height of rapid changes in trade and industry. Whether you are operating in the financial services sector, trading division or risk mitigation department of your organisation, quantitative finance and risk management is one of the most important areas you should strengthen.
There are different training courses, many of which can be customised as per your needs that you can take up, so your team remains up-to-date with changes in the increasingly sophisticated financial landscape. With the evolving nature of financial engineering and regulatory frameworks, you need training that offer a focus in real-world applications of different quantitative techniques that will help you cope with the ever changing conditions of trade and finance. The following are some basic risk modelling topics your chosen course should touch upon:
Yield curve modelling – The yield curve model has dynamically evolved through the years. Understanding this evolution is critical to accomplishing and managing financial tasks, ranging from risk management to pricing financial assets and derivatives, structuring fiscal debt, allocating portfolios, valuing capital goods, and conducting monetary policies. Many yield curve models tend to be theoretically sound but empirically disappointing or empirically efficient but theoretically lacking—this is what you will learn to overcome with course proper training in yield curve modelling.
Volatility modelling – Volatility models ought to forecast volatility—a central requirement in financial applications. Choose a course that will teach you how to incorporate various facts of volatility in models, ranging from mean reversion to pronounced persistence, asymmetry, and the probability of exogenous/pre-determined variables that influence it.
Interest rate modelling – Choose a training program that constructs a solid bridge between theory and practice, while combining historical perspective, mathematical depth, and practical relevance for real-world applications. Interest rate models can get extremely technical, especially when dealing with the details of interest rate derivatives and other financial engineering structures.
Default risk modelling – Default risk models are process designs that assess the likelihood of default by an obligor. They are largely used in applications supporting credit analysis, as well as those that are used to extend financial engineering techniques to credit sensitive instruments like credit derivatives and to calculate the need for or the use of counter party credit risk limits. Choose a course that effectively correlates default risk modelling with your financial management styles and processes, for more productive end results.
About the Author:
Nirmalendu Chaudhuri, is the Managing Director of Quant Fin Pvt. Ltd. – an independent consulting firm based in Sydney, specializing in quantitative finance and corporate advisory. Nirmalendu Chaudhuri has an experience over 10 years, in quantitative consulting, quantitative analysis, research and development. He holds a Masters in Quantitative Finance and is a PhD in Mathematics.
