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Introduction to Asset Liability Management (ALM)

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1 Introduction to Asset Liability Management (ALM)
University of Waterloo| November 2017

2 Introduction Pieter Wijnhoven Senior Vice President

3 “Career” 2000: Started studying Technical Mathematics (TU Eindhoven)
2001: Switched to studying Econometrics (University Maastricht) 2004: Internship at ORTEC USA (Atlanta) - Logistics 2005: Graduated Life after studying 2005: Business Analyst / Consultant at ORTEC Finance (Rotterdam) More studying (!) 2006: Post graduate study: Financial Investment Analyst (“VBA”, VU Amsterdam) 2010: Senior ALM consultant: Projects for Amitim (Tel Aviv), HOOPP (Toronto), OMSL (Bermuda) 2012: Senior Account manager 2015: Lead Consultant / Business Development 2016 1st of January: Opened Ortec Finance Canada

4 “We help people to manage complex investment decisions”
Ortec Finance company profile Ortec Finance is a global provider of technology and advisory services for risk and return management. Established in Rotterdam in 1981, Ortec Finance today has over 150 employees who combine mathematical ability, business awareness and practical application to deliver innovative and pragmatic solutions. Our client base operates in the pension, investment management, insurance, municipal, housing corporation and private wealth management markets, and is long-standing and global. The business of Ortec Finance is to improve investors’ decision making and decision monitoring. We design, build, and apply solutions for asset-liability management, performance measurement & risk attribution, and financial planning. Our solutions derive from the combination of software models and professional advisory services. Through close collaboration with the academic community we remain at the forefront in innovation.

5 Our Solutions Strategic Risk Management Services Consulting Software
37_84 Our Solutions Strategic Risk Management Investment Performance Services Risk Monitor Reporting ALM studies Investment Consulting Services Consulting GLASS for ALM and Risk Monitoring PEARL for Performance Measurement & Attribution Local installation or SaaS Software

6 Our Global Offices and Clients
Rotterdam Netherlands Amsterdam Netherlands Toronto Canada Hong Kong Asia/Pacific London United Kingdom Pfäffikon Switerzland Europe

7 Introduction to Asset Liability Management (ALM)
University of Waterloo| November 2017

8 ALM = Asset / Liability Management = Balance sheet Management
Pension funds ALM = Asset / Liability Management = Balance sheet Management Funding ratio = Assets Pension liabilities Surplus/Deficit

9 ALM decision making problem: objectives / uncertainties / policy instruments
Holistic ALM: risks of all stakeholders result: fair pension deal risk return

10 Methodology ALM / scenario analysis
ALM-system “GLASS” consists of: Actuarial model: generates cash flows / liabilities “Policy” model: contribution, indexation and investment policy Econometric model: generates economic scenarios

11 Pension fund: Liabilities
Actuarial simulation of individual participants (mortality, career, etc) Valuation of the total pension liabilities:

12 Pension Liabilities Two main approaches: Fixed discount rate, say 4%:
Fair value, Economic Value

13 Indexation and contribution policy
Indexation Contribution

14 Investment policy Strategical asset mix:

15 Scenario analysis: Generating scenarios
ALM- model Scenario 2 Scenario 3 past present future time

16 Scenario analysis: Evaluating ALM-policies
time present past future A L S Contr pensions Analyser ALM- model Sc 1 Sc 2 Sc 3 policy Contr pensions Contr pensions Contr pensions Contr pensions

17 Scenario Analysis Approach
a possible outcome or future development of uncertain factors Scenario Set a large number of individual scenarios representing the uncertain future Risk Management testing a selected strategy against a number of different futures Management Flight Simulator Managerial Learning Enable management to acquire more knowledge about the dynamics of their business, and how it may respond to various circumstances Consensus Because they record explicit assumptions about the future, and provide a common framework for discussion, they also contribute to a better understanding between managers

18 Interactive econometric methodology
Historical time series of inflations, interest rates & asset returns MODEL ESTIMATION Own views and sensitivity analyses All scenarios Individual scenario Average SIMULATION Scenarios of inflations, interest rates & asset returns

19 10 year bond yields Funding Ratio
Scenario Modeling 10 year bond yields Funding Ratio Yellow : 2000 scenario’s Blue: 1 scenario Red: Average Scenarios concerning uncertainties Output Pension fund model Policy variants

20 Investment policy: Asset mix
Risk vs return trade-off: “Equities versus Bonds” More equities: 1. 2. 3. Fixed income Probability of return Equities Equities 3. 1. 2. Return Due to correlations effects, combinations of different investments can lead to more efficiënt risk-return trade-off than the investments separatly (diversification).

21 Policy instrument: Duration matching
Expected future pension payments The cash flows 1, 2, … are discounted with the fluctuating market interest rate. Low interest rate The market value of the liabilities is therefore sensitive to interest rates. This sensitivity depends on the average maturity of the cash flows. Average: 15 years Investments are also sensitive to interest rates. The average maturity of bonds is 5 years. There exists a mismatch between assets and liabilities, because of the different impact of a change in interest rates

22 Investment policy: Duration matching
Fixed income (FI) Equities (EQ) 120 Liab Surplus Funding ratio = 120% Starting balance sheet Fixed income: duration = 5 Liabilites: duration = 15 Interest rate decrease with 1% FI EQ Liab Surplus “duration match FI” Funding ratio = % “duration mismatch” FI EQ Liab Surplus Funding ratio = %

23 Investment policy: Duration matching
Fixed income (FI) Equities (EQ) 120 Liab Surplus Funding ratio = 120% Starting balance sheet Fixed income: duration = 5 Liabilites: duration = 15 Interest rate increase with 1% FI EQ Liab Surplus “duration match FI” Funding ratio = % “duration mismatch” FI EQ Liab Surplus Funding ratio = %

24 Investment policy: Duration matching
Initial Funding ratio = 120% Interest rate decrease with 1% “duration mismatch” “duration match FI” Funding ratio = % Funding ratio = % Interest rate increase with 1% “duration mismatch” “duration match FI” Funding ratio = % Funding ratio = % Duration matching HELPS in case of decreasing interest rates, it does NOT HELP in case of increasing rates.

25 ALM-study: results

26 ALM-study: results

27 Finally… Questions?

28 Pieter Wijnhoven Senior Vice President 647 640 7400
250 University Avenue, Toronto

29 29


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