Title: Shane Whelan, L527
1Asset-Liability Management for Actuaries
2Preface
- This course, given jointly with Mr Gareth Colgan,
FIA. - It is based on the Core Applications - Concepts
(CA1) course of the Faculty Institute of
Actuaries - It is not an exemption subject.
- Integrates all areas of actuarial practice with
the concept of the actuarial control cycle. - Gives an introduction to traditional areas of
actuarial expertice.
3Chapter 1
- The Actuarial Control Cycle
4Actuarial Control Cycle
Specifying the Problem
Developing a Solution
Monitoring the Experience
5Actuarial Control Cycle
Specifying the Problem
Developing a Solution
Monitoring the Experience
6Actuarial Control Cycle
- Actuarial Control Cycle is a schema based on a
scientific approach to problem solving - first, specify the problem,
- second design and implement a solution,
- third monitor the effectiveness of the solution
- But it does not end here
- Typically, revision is necessary hence the loop
or cycle. - The Actuarial Control Cycle must of course be
considered in the context of the economic and
commercial environment (e.g. legislation,
taxation, business ethics). - Also, as professionals, actuaries must adhere to
requirements of professionalism.
7Specifying the problem
- This stage of the control cycle will give an
assessment of the risks faced and how they can be
handled. It also provides an analysis of the
options for the design of plans to provide
various benefits and the prices of the plans that
will result. It also considers the strategic
courses of action that could be used to handle
the particular risks in question.
8Developing a Solution
- An examination of the major (actuarial) models
currently in use and how they may be adjusted for
the particular problem to be solved. - Selection of the most appropriate model to use
for the problem, or construction of a new model. - Consideration and selection of the parameters to
be used in the model. - The parameters used in a model are critical and
it is necessary to have a good understanding of
their sensitivities. - Interpretation of the results of the modelling
process. - Consideration of the implications of the model
results on the overall problem. Consideration of
the implications of the results for all
stakeholders. - Determining a proposed solution to the problem.
- Consideration of alternative solutions and their
effects on the problem. - Formalising a proposal.
9Monitoring the experience
- It is critical that the models are updated to
reflect current experience. - This stage deals with the monitoring of
experience and its feedback into the problem
specification and solution development stages of
the control cycle, i.e. updating the
investigation. - An important part of this monitoring will be the
identification of the causes of any systemic
departure from the targeted outcome from the
model and a consideration as to whether such
departures are likely to recur. - Hence identify new problem and around the cycle
again.
10Applications/Examples of Actuarial Control Cycle
0
- Problem It is the 19th century and a mutual
friendly society approaches you to design a
simple scheme to provide for funeral expenses of
members in consideration for a weekly premium of
P. - Formulate your proposal and put in place a plan
to monitor the emerging experience.
11Question
- Is the Actuarial Control Cycle not just the
scientific method applied in the actuarial domain
model, test, use results to build better model?
12Critique of the Actuarial Control Cycle
- The Actuarial Control Cycle, while it is useful
as an educational framework, would seem to be the
epitome of an abstraction which has been emptied
of content. - Bellis, C. S. (2000), Professions in Society,
British Actuarial Journal, 6, II, 317-344. Quote
is from Section 10.3.17. - In Section 10 the author reveals the true nature
of the emperors new clothes the Actuarial
Control Cycle is not actuarial at allThe
Actuarial Control Cycle, so valued around the
world, is a content-free zone. - Hardy, M.R. (2000) Discussion of above paper, in
BAJ, 6, II, p. 353.
13Other Control Cycles
- What other control cycles are there?
- Especially those applied in a business context.
- Two-generic types
- Mathematically-assisted decision-making
- Mathematically-inspired decision-making
- The following few slides are adapted from those
of Dr Maciej Klimek based on a seminar he gave at
Dublin Institute for Advanced Studies, December
2004.
14Mathematically assisted decision making
The decision process uses results of computations
only as arguments
Required goals
Separation of tasks!!!
15Mathematically inspired decision making
Highly quantitative and logical approach to
problem solving, with no spurious assumptions
Mathematical-like reasoning is an integral part
of the decision process!
16Real discrete dynamical system
17Characteristics of decision making in the spirit
of dynamical systems
- Modelling of reality as a collection of time
dependent processes - That is, modelled as a stochastic process with an
associated filtration - Awareness of non-linearity/sensitivity to initial
conditions - Adaptability regarded as one of the highest
values - Must update model and actions with filtration.
- Reliance on iterative decision loops whenever
possible - Embracing change as opportunity for betterment.
18John R. Boyd (1927-1997) Strategist and fighter
pilot
What is the aim or purpose of strategy? To
improve our ability to shape and adapt to
unfolding circumstances, so that we (as
individuals or as groups or as a culture or as a
nation-state) can survive on our own
terms. Boyd The most important thing in life
is to be free to do things. There are only two
ways to insure that freedom you can be rich or
you can you reduce your needs to zero. I will
never be rich, so I have chosen to crank down my
desires. The bureaucracy cannot take anything
from me, because there is nothing to take. Boyd
quoted in Spinney, F.C. (1997) Genghis John,
Proceedings of the U. S. Naval Institute, July,
pp 42-47.
Boyd in 1953
Time is a weapon
For more on Boyd, including all his lectures and
notes on strategy, see www..belisarius.com/boyd.h
tm
19Boyds Loop OODA Observation Orientation
Decision - Action
20Real discrete dynamical system (OODA)
21Other Decision Loops
- The Six-Sigma Loop (Japanese roots, developed by
General Electrics and Motorola) - Define-Measure-Analyze-Improve-Control
- The six-sigma methodology is closely related to
the Japanese methodologies Lean Thinking and TQM
(Total Quality Management). - The common sense PRIME loop
- Planning-Rehersal-Implementation-Maintainance-Evol
ution - The Lean Thinking 5S management rule
- SEIRI clear organization without redundant
elements - SEITON order, everything has its place
- SEISO absolute cleanliness to avoid errors
- SEIKETSU clarity the result of the first 3S
- SHITSUKE discipline
22Applications/Examples of Actuarial Control Cycle
1
- Problem An established pension fund with
significant assets wants to design and implement
a suitable investment strategy.
23Actuarial Control Cycle
Specifying the Problem
Developing a Solution
Monitoring the Experience
24Actuarial Control Cycle
Analyse the Risk Assess Clients
Situation Consider high-level options
Specifying the Problem
Developing a Solution
Monitoring the Experience
25Actuarial Control Cycle
Analyse the Risk Assess Clients
Situation Consider high-level options
Specifying the Problem
Monitoring the Experience
Developing a Solution
Built model and discuss assumptions Calculate and
intepret results Determine solution proposed and
main alternatives identified Formal
proposal/report
26Actuarial Control Cycle
Analyse the Risk Assess Clients
Situation Consider high-level options
Specifying the Problem
Compare with model Review model Review business
context Identify scope for improvement
Monitoring the Experience
Developing a Solution
Built model and discuss assumptions Calculate and
intepret results Determine solution proposed and
main alternatives identified Formal
proposal/report
27Investment Advisory Process
Investmentobjectives
Strategicassetallocation
Monitoring Evaluation
Fund managerstructure
Fundmanager selection
28Completes Chapter 1
- The Actuarial Control Cycle
29Asset-Liability Management for Actuaries