2013
DOI: 10.1007/978-3-658-02167-2
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Asset Allocation Considerations for Pension Insurance Funds

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Cited by 12 publications
(5 citation statements)
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“…The definition of capital market is a container of meeting parties who over-fund with parties who lack funds by trading securities (Tandelilin, 2001). It is recommended by Hertrich (2013) that the formation of pension fund investments should be formed diversified from assets that have stable interest and assets that have a dynamic interest. Improved stock value performance can be a factor that stimulates the growth of pension fund assets (Boeri et al, 2006).…”
Section: Capital Marketmentioning
confidence: 99%
“…The definition of capital market is a container of meeting parties who over-fund with parties who lack funds by trading securities (Tandelilin, 2001). It is recommended by Hertrich (2013) that the formation of pension fund investments should be formed diversified from assets that have stable interest and assets that have a dynamic interest. Improved stock value performance can be a factor that stimulates the growth of pension fund assets (Boeri et al, 2006).…”
Section: Capital Marketmentioning
confidence: 99%
“…The only option is to increase the total volume of resources through additional revenues. Hertrich (2013) highlights the positive impact of a broadly diversified investment portfolio managed by pension trustees on the capital market. Therefore, the portfolio of the pension fund has to be formed by a mix of fixed interest assets and interest sensitive assets.…”
Section: Theoretical Backgroundmentioning
confidence: 99%
“…forward rate bias and purchasing power parity) or driven by dynamics of the financial markets (e.g. interest rates and share prices) (Hertrich, 2013). The test for cointegration between the endogenous variables of each portfolio is carried out using the method developed by Johansen (Johansen, 1995 .…”
Section: C) Vector Error Correction Model and Bootstrap Simulation Anmentioning
confidence: 99%
“…In the area of pension insurance funds Hertrich 2013 (Hertrich, 2013). Both works use a multivariate vector error correction model (VECM) in order to capture the underlying time series' data generating process.…”
Section: Introductionmentioning
confidence: 99%
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