Under the European Union’s Solvency II regulations, insurance firms are required to use a one-year VaR (Value at Risk) approach. This involves a one-year projection of the balance sheet and requires sufficient capital to be solvent in 99.5% of outcomes. The Solvency II internal model risk calibrations require annual changes in market indices / term structure / transitions for the estimation of the risk distribution for each of the internal model risk drivers.
Transition and default risk are typically modelled using transition matrices. To model this risk requires a model of transition matrices and how these can change from year to year. In this paper four models have been investigated and compared to the raw data they are calibrated to. The models investigated are:
The models are compared in a number of ways:
At this event we will present our methods and findings, and look forward to an active Q&A.
Calibration of Transition Risk for Corporate Bonds (730 KB PDF)
Andrew D. Smith is an Assistant Professor at University College Dublin and the course director for their Actuarial Science program. Andrew's research focuses on statistical measurement of financial risks.
As a member of the Irish Mathematical Trust, Andrew prepares many young mathematicians for international competitions and has captained Ireland's team at the International Mathematical Olympiad.
Andrew is an Honorary Fellow of the Society of Actuaries in Ireland and of the UK Institute and Faculty of Actuaries.
Florin has extensive UK life insurance experience and a strong understanding of Solvency UK, with a focus on long-term business, investment strategy, and how assets and liabilities are managed.
He has led major pieces of work at Milliman and held senior roles at Just Group and PIC, including supporting large pension buy-in/buy-out transactions, assessing complex assets, improving credit risk approaches, and overseeing financial reporting.
He also publishes and presents regularly, including current research on complex assets in the life and annuities market.
Gaurang Mehta has a significant experience in Solvency II methodology, risk calibrations, volatility adjustment, and matching adjustment. Gaurang has worked in other regulatory areas such as IFRS 17 implementation for life and general insurers.
James Sharpe is a consulting actuary and statistician with more than 25 years’ experience working with and advising insurance companies across the UK and Europe.
James works primarily in credit risk modelling and the matching adjustment for Solvency II and IFRS 17.
James is the chair of the Extreme Events Working Party and has produced several leading industry papers and presentations.
Online and in London:
Staple Inn Hall
High Holborn
London
WC1V 7QJ
You can attend in-person or watch online, which you will be able to indicate when booking.