We strive to serve you as the most advanced digital investment adviser in Australia. Behind the algorithms that we have been designing and improving, we have a robust investment methodology. We adhere to the Chicago School of Thought, whose influence in our working is mainly because our founder, Dilip Sankarreddy, was trained at The University of Chicago. We stress on the academic prowess of an investment idea or concept, enabling us to serve our clients as an advanced robo advisor.
Our investment approach encompasses:
- Determining the risk tolerance of clients
- Determining the asset classes
- Identifying suitable ETFs for each of the asset classes
- Determining the optimal mix of asset classes
- Constructing customised portfolios based on risk tolerance of clients
- Rebalancing and continuous management of the portfolios
Determining the risk tolerance of clients
We believe that sophisticated algorithms can do a better job of evaluating risk than the average human advisor. We split the questionnaire to determine the prospective client objective and subjective risk tolerance. Few questions will be based on objective risk to determine the ability of the prospective client to take risk, and the rest of the questions will be on subjective risk to determine their willingness to take risk. We will identify and factor in for any inconsistencies in the manner in which the client answers those questions based on subjective risk.
Determining the asset classes
The first step in our methodology is to identify a broad set of diversified asset classes. The availability of various ETFs traded in the exchange is also factored into while identifying the asset classes. These asset classes provide the main structure to our portfolios. We also evaluate each asset class on its potential for capital growth, income generation, volatility, correlation with the other asset classes which can be referred to as diversification, inflation protection, and the cost to implement the portfolio using ETFs. We attempt to determine the asset classes in our portfolio in such a manner that these asset classes are relatively uncorrelated.
We invest in eight Exchange Traded Funds (ETFs) across six asset classes; the funds we choose do not try to beat the system but rather track a wide spread of assets, thereby reducing risk via diversification. We invest with an equity orientation to maximize long term returns.
The asset classes are:
- Australian shares
- International developed market shares
- International emerging market shares
- Dividend shares
- Natural resources such as gold
We do not build QuietGrowth Portfolios as thematic portfolios. QuietGrowth Portfolios do not have extensive exposure to a short-term macroeconomic theme or trend, because it is very difficult to predict the outperformance of such a theme or trend.
QuietGrowth Portfolios are not sector-based portfolios. QuietGrowth Portfolios do not have extensive exposure to a specific sector, with an expectation of that sector outperforming the broad market indices in the short term. This is because it is very difficult to predict the outperformance of a specific sector.
Some of the prominent sectors we consider in our analysis are:
- Consumer discretionary
- Consumer staples
- Health care
- Information technology
- Real estate
We recognise cryptocurrencies as an asset class. However, we have decided to exclude, as of now, this asset class in the construction of our portfolios. For more information, please refer to our opinion 'Investing aspects pertaining to cryptocurrencies'.
Identifying suitable ETFs for each of the asset classes
We prefer to use ETFs to track the indices of various asset classes used in our portfolios. We prefer ETFs with low annual expense ratios, minimal tracking error, low bid/ask spread costs, sufficient liquidity and minimal lending of the underlying securities of the ETFs. We are transparent about the reason for us selecting one ETF over the rest of the ETFs catering to the same asset class. Our reasoning for this decision making is available in the website for our clients.
While identifying suitable ETFs for each asset class, we do not give preference to Ethical ETFs. The metrics that we use for the selection of ETFs apply to Ethical ETFs too. Hence, none of the Ethical ETFs have become a part of QuietGrowth Portfolios so far, mainly because Ethical ETFs have higher expense ratio, lower diversification and no exposure to certain high-performing public companies.
Also, as of now, QuietGrowth is not offering ethical portfolios comprising only of Ethical ETFs. If you intend to do any specific socially responsible or ethical investing, then you will not be able to do it through QuietGrowth. We are cheering ethical investing from the sidelines. Please refer to our 'Ethical Investing' knowledge resource for more information.
Determining the optimal mix of asset classes
We adhere to the Fama/French school of thought. We aim to gravitate towards the Efficient Frontier by using Mean-Variance Optimisation (MVO) which is the foundation of Modern Portfolio Theory (MPT). After determining the asset classes and the suitable ETFs for each of the asset classes, we calculate the optimal mix of those asset classes by using MVO and other analysis.
The goal is to create each portfolio by determining an optimal mix of asset classes that maximises the expected return for a specific level of given risk. This risk is as determined for each client. The other way of looking at this goal is to minimise the risk for a specific expected return of the mix of the asset classes. For this reason, the intention is to calculate the best risk-return trade off by finetuning the mix of asset classes.
Constructing customised portfolios based on risk tolerance of clients
The different characteristics of each asset class can have a significant impact on the performance of the portfolio of the client. Diversification is a major aspect in our philosophy. This is because the asset classes generally perform different to each other as market conditions change.
We adopt minimum and maximum allocation constraints for each of the asset classes. This is to achieve appropriate portfolio diversification, to mitigate any estimation errors, and to factor in the client preferences.
Rebalancing and continuous management of the portfolios
QuietGrowth performs periodic rebalancing of the portfolio of the client for risk-adjusted returns. This is because the initial mix of investment allocation of the client drifts over time from the target allocation of the client. In order to maintain the intended risk level and asset allocations, a portfolio must be periodically rebalanced back to its original target allocation. We use sophisticated algorithms to optimise the portfolio rebalancing effort. We rebalance the portfolio of each client to bring back the investment mix in line with the client's target asset mix.