The Listed High Growth Model Portfolio is our portfolio for SMSF investors that wish to invest in a combination of both high quality, larger cap stocks listed on the ASX, along with other vehicles listed on the ASX (such as ETFs) that provide exposure to other asset classes such as International shares, and property & infrastructure. It has an enviable track record of long term performance.
The portfolio will have a long-term average exposure of around 98% to growth assets and around 2% to defensive assets, however the allocations will be actively managed within the allowable ranges depending on market conditions.
To deliver capital growth with some income over the medium to long term by investing in a range of asset classes via ASX-listed investment vehicles (such as shares and ETFs). The portfolio aims to outperform the performance benchmark over a period of seven years or more.
Lonsec’s Listed High Growth Model Portfolio consists of a combination of an allocation to large cap Australian Shares via Lonsec’s Core Shares portfolio, along with a selection of ASX-listed ETF’s to access other asset classes.
In Australian shares, Lonsec focuses on the twin factors of “quality” and “value”, and is the back-bone of Lonsec’s ‘Quality-at-a-Reasonable-Price’ or QARP investment style.
For the other asset classes such as International shares, property, infrastructure, fixed interest, and diversified income, Lonsec uses it’s deep research capabilities in exchange traded funds to provide the recommended investments.
Overlaid on top of this is Lonsec’s strategic asset allocation process that actively monitors the appropriate allocations based on market conditions.
| Total Returns | 1yr% | 3yr %pa | 5yr %pa | 7yr %pa |
|---|---|---|---|---|
| High Growth Model | 8.34 | 8.53 | 9.29 | 8.18 |
| As at 30/04/2022 |
| Past performance is not a reliable indicator of future performance. Performance does not include franking credits, or other taxes or possible transaction costs . Performance is notional in nature and the actual performance of individual portfolios may differ to the performance of the Model. |
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