The fixed income asset class is very large in term of notional outstanding and comprises a great variety of different instruments such as corporate and government bonds, supranational and municipal bonds, mortgage-backed securities, inflation-indexed debt to name but a few. This fixed income portfolio asset allocation course is designed to give a great level of detail and understanding to key areas of asset allocation.
This programme aims to give delegates an understanding of the key parameters, methods and models used in the asset allocation process.
We will review some of the more recent developments in the fixed income portfolio asset allocation and management area, the risks inherent to portfolio management and the critical steps in investment policy. The programme will endeavour to discuss portfolio management theories, analyse their meaning for practitioners and compare current practice with empirical evidence of the theories. We will particularly focus on the various elements of portfolio construction, examining risk decomposition for portfolio management geared toward benchmarking, after an understanding of key risk factors related to investment policy constraints.
We will also discuss best practice in the approaches to the strategic and tactical allocation process, the practical use of the multi factor model, and the appropriateness and choice of internal or external benchmarking. All of which is designed to give attendees a fuller understanding of Fixed Income Portfolio Asset Allocation.
The workshop style programme uses a variety of teaching methods including relevant case studies, illustrative examples, multiple choice questionnaires and participant interaction to help attendees quickly grasp and internalise new knowledge.
Participants will be invited to discuss examples and case studies in groups in order to relate them to their own firm’s experience and gain a practical understanding of key concepts within portfolio and asset management.
Case Study: Analysing an outcome orientated fund historical returns versus political and macro-economic news
Case Study: Smart beta and risks
Case Study: applications of the theories
Case Study: Calculating and analysing tracking errors on a portfolio return
Case Study: using a benchmark to monitor the management of a portfolio