Knowledge Base Articles
Part III: Asset and Liability Management Using LSMC - Allocation Optimisation
In the third and concluding article in the ALM using LMSC series, we focus on analyzing the optimal asset allocations in the context of changing asset classes as well as finding the optimal allocation by maximizing the risk-adjusted net asset value. The estimates based on the LSMC method are then compared to the estimates obtained from the full nested Monte Carlo method.
End of LIBOR: A Rising Challenge for The Insurers
Driven by the consequences of the global financial crisis in 2008 and the LIBOR scandal in 2012, the world’s financial regulators set off the search for alternative reference rates that could better reflect the underlying market and would be more difficult to manipulate. Since financial institutions use the reference rates to design contracts of various kinds, the impact of this change will be considerable. However, most of the available analysis and other material on this topic describe the challenges of such a transition only for banks, frequently leaving out the insurers who are significantly affected by the change as well. Therefore, it becomes essential to highlight global best practices regarding the preparation for replacing the -IBOR in the insurance industry.
Mitigating Risk: A Joint Model for High-Yield and Investment-Grade Credit Indices
Today, there are many flawed corporate bond pricing models. However, there is also a novel credit-spread approach that can simulate index prices and accurately capture probability of default, enabling better risk management and regulatory compliance.
A parametric approach to haircut modelling
Determining collateralised derivatives haircuts is becoming an increasingly more important problem. At the same time, the method used today has been found to have significant shortcomings. To sidestep these issues industry is now looking towards a parametric modelling approach to determining haircuts.
The volatility components and their effect on the macroeconomy.
It is well known that the behaviour of volatility can be characterised by two components, one slowly varying long run component and a strongly mean-reverting short run component, but how do they differ in their impact on the macroeconomy?