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Printable Handouts
Navigable Slide Index
- Introduction
- The Siemens-Austria pension fund model (1)
- The Siemens-Austria pension fund model (2)
- The pension fund situation in Europe
- US stocks, 1802 to 2006
- Asset structure of European pension funds
- The trend is up but it's quite bumpy
- Many asset classes
- What is InnoALM?
- Features of InnoALM
- Technical features and what they include
- Asset growth
- Convex penalties
- Description of the pension fund
- Factors that led to InnoALM development (1)
- Factors that led to InnoALM development (2)
- InnoALM project team
- Innovest InnoALM model
- National investment restrictions on pension plans
- Formulating the InnoALM model
- Wealth accumulates over time
- Budget constraints
- Portfolio weights
- Wealth targets
- The quadratic function
- Storing money during good years
- The pension plan's objective function
- Implementation of the model
- The parameter lambda in the objective function
- From a quadratic function to a linear approximation
- Implementation, output and sample results
- Elements of InnoALM
- Example (1)
- Example (2)
- Scenario dependent correlations matrices
- Deriving the scenario dependent correlations
- A distinct pattern across the three regimes
- Regression equations relating asset correlations
- A small scenario tree
- Single scenarios
- Correlated random returns simulation (1)
- Correlated random returns simulation (2)
- Correlated random returns simulation (3)
- Points to remember
- The return of equities over bonds 1982-1999
- US equity and government bond returns
- Statistical properties of asset returns
- Optimal portfolios for seven cases
- Optimal initial asset weights at stage 1 by case
- A distinct pattern emerges
- TMC
- Summary
- Effect of the risk premium
- Optimal asset weights at stage 1
- The effects of state dependent correlations
- Results explanation
- Does this work out of sample?
- Cumulative monthly returns for different strategies
- Conclusions and final remarks
- A quote by Konrad Kontriner
This material is restricted to subscribers.
Topics Covered
- Portfolio theory and practice
- Effect of paramater errors
- Convex risk measures
- Scenario optimization
- Asset liability management
- Pension funds
- Retirement
- Siemens Austria pension fund
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Talk Citation
Ziemba, W. (2013, November 5). A dynamic stochastic pension fund model 2 [Video file]. In The Business & Management Collection, Henry Stewart Talks. Retrieved November 21, 2024, from https://doi.org/10.69645/PONL7569.Export Citation (RIS)
Publication History
A dynamic stochastic pension fund model 2
Published on November 5, 2013
55 min