Browsing by Author "Brooks R"

Now showing 1 - 2 of 2
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    Asset allocation of Australian superannuation funds: a markov regime switching approach
    (Springer Nature, 2023-11-01) Bissoondoyal-Bheenick E; Brooks R; Do H
    We extend an observable Markov Regime Switching framework to assess the switching behaviour of asset classes of Australian superannuation funds across different fund sizes. We identify the most prominent asset class which contributes to the performance of the investment options and what factors trigger funds’ decisions on rebalancing their portfolio. We find that smaller funds tend to be more active in switching to aggressive options and the larger funds are more conservative. However, in periods of volatility, the large funds are the risk seekers and tend to switch their asset classes and hence their investment strategies. The asset classes whose values add to the performance of the investment options are equity markets and bond markets with the domestic equity market having better performance than international equity market. The switch for the larger funds is driven by volatility of the equity market.
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    Risk Analysis of Pension Fund Investment Choices
    (John Wiley and Sons, Inc., 2023-09-01) Bissoondoyal‐Bheenick E; Brooks R; Do X
    We provide a comprehensive and more consistent approach to analyse and compare the risk-return relationships of Australian superannuation investment options for the period January 1990 to December 2016. In estimating the risk profiles of the investment options, we allow for the movement of the asset classes over time by employing a varying coefficient panel estimation technique. We find that while risk increases across different investment options from moderate to aggressive options, using different percentages of identifying a balanced fund does not impact the long-term risk measurement. We equally find that the risk-return relationships of investment options are not sensitive to the modelling framework, except for the crisis analysis, in which the Fama-French five-factor model provides greater sensitivity.