Invesco WS Aus Smaller Companies-Class A is an Managed Funds investment product that is benchmarked against ASX Index Small Ordinaries Index and sits inside the Domestic Equity - Small Cap Index. Think of a benchmark as a standard where investment performance can be measured. Typically, market indices like the ASX200 and market-segment stock indexes are used for this purpose. The Invesco WS Aus Smaller Companies-Class A has Assets Under Management of 17.63 M with a management fee of 0.55%, a performance fee of 0.00% and a buy/sell spread fee of 0.1%.
The recent investment performance of the investment product shows that the Invesco WS Aus Smaller Companies-Class A has returned -1.66% in the last month. The previous three years have returned 3.29% annualised and 16.3% each year since inception, which is when the Invesco WS Aus Smaller Companies-Class A first started.
There are many ways that the risk of an investment product can be measured, and each measurement provides a different insight into the risk present. They can be used on their own or together to perform a risk assessment before investing, but when comparing investments, it is common to compare like for like risk measurements to determine which investment holds the most risk. Since Invesco WS Aus Smaller Companies-Class A first started, the Sharpe ratio is NA with an annualised volatility of 16.3%. The maximum drawdown of the investment product in the last 12 months is -8.05% and -56.23% since inception. The maximum drawdown is defined as the high-to-low decline of an investment during a particular time period.
Relative performance is what an asset achieves over a period of time compared to similar investments or its peers. Relative return is a measure of the asset's performance compared to the return to the other investment. The Invesco WS Aus Smaller Companies-Class A has a 12-month excess return when compared to the Domestic Equity - Small Cap Index of 2.15% and -1.55% since inception.
Alpha is an investing term used to measure an investment's outperformance relative to a market benchmark or peer investment. Alpha describes the excess return generated when compared to peer investment. Invesco WS Aus Smaller Companies-Class A has produced Alpha over the Domestic Equity - Small Cap Index of NA% in the last 12 months and NA% since inception.
For a full list of investment products in the Domestic Equity - Small Cap Index category, you can click here for the Peer Investment Report.
Invesco WS Aus Smaller Companies-Class A has a correlation coefficient of 0.95 and a beta of 1.15 when compared to the Domestic Equity - Small Cap Index. Correlation measures how similarly two investments move in relation to one another. This establishes a 'correlation coefficient', which has a value between -1.0 and +1.0. A 100% correlation between two investments means that the correlation coefficient is +1. Beta in investments measures how much the price moves relative to the broader market over a period of time. If the investment moves more than the broader market, it has a beta above 1.0. If it moves less than the broader market, then the beta is less than 1.0. Investments with a high beta tend to carry more risk but have the potential to deliver higher returns.
For a full quantitative report on Invesco WS Aus Smaller Companies-Class A and its peer investments, you can click here for the Peer Investment Report.
For a full quantitative report on Invesco WS Aus Smaller Companies-Class A compared to the ASX Index Small Ordinaries Index, you can click here.
To sort and compare the Invesco WS Aus Smaller Companies-Class A financial metrics, please refer to the table above.
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SMSF Mate does not receive commissions or kickbacks from the Invesco WS Aus Smaller Companies-Class A. All data and commentary for this fund is provided free of charge for our readers general information.
During the month of August, equity markets in Australia posted negative returns with the ASX Small Ordinaries declining due to weak sector performances from health care, real estate and financials. The Reserve Bank of Australia opted to hold interest rates at 4.1% citing the fact that past increases had shown signs of cooling demand. It is now forecasting inflation falling back to target in late 2025. In addition, Australia’s unemployment rate rose by 20bps from 3.5% to 3.7%, while the Q2 year-on-year wage growth slowed to 3.6%, below estimates of 3.7%.
In August, Value stayed flat, while Momentum and Quality had a positive impact on performance over the month. Stock specific effects, which are not attributable to any proprietary factor, had a positive impact as well.
Impact from active sector weights, which are a by-product of the multi-factor optimisation process, was slightly positive over the month. Here, our overweight in the Consumer Discretionary Sector had a positive impact, while an underweight on both the Financials and the Health Care Sectors contributed positively to active returns.
Over July, the Australian multi-factor model posted moderately positive results, with Quality and Value ending the month in positive territory. Momentum had a weak start to the month but was able to manage a flat performance to end the month. Among the factors, Value was the strongest in the model, while Quality was close behind.
Within our Australian universe, the highest rated stocks identified by our multi-factor model were flat, while the least attractively rated stocks outperformed.
Over June, the Australian multi-factor model moved back into positive territory, with Quality and Value posting
strong results. Momentum had a good start to the month but declined in the last few trading days to end the
month flat. Value was the strongest factor in the model with all underlying signals contributing positively.
Within our Australian universe, the highest rated stocks identified by our multi-factor model performed in line
with the broader market, while the least attractively rated stocks underperformed.
The Australian equity market had a negative month in May. This was mainly due to a surprise 25bps interest rate hike by the Reserve Bank of Australia (RBA) in response to the stronger than expected inflation data. Technology was the best performing sector, up 10.4%, as investors rotated into companies that may have a better chance of delivering growth in the face of a macro slowdown. Discretionary was the worst sector, down 6.2% on signs of a weaker consumer. Smaller capitalisation companies underperformed the broader market.
In May, Momentum and Quality had a negative impact on performance, whereas Value contribution was flat over the month. Stock specific effects, which are not attributable to any other factor, had a negative impact as well. Impact from active sector weights, which are a by-product of the multi-factor optimisation process, was negative over the month. Here, our marginal underweight in the Financials sector and the Information Technology sector both had a negative impact on active returns.
The Australian equity market had a positive month in April, supported by the upgraded growth outlook in Europe. Nearly every sector in the ASX 200 was in the green for the month, with technology and industrials leading the gains, and materials being the only sector in the red.
The March quarter inflation figures for Australia showed a headline rate of 7.0% and a core rate of 6.6%, with services inflation still being strong. March’s labour market data was better than expected, however there are indications that future job gains may be harder to achieve. With the mixed economic sentiments, the Reserve Bank of Australia (RBA) paused on rate hikes in April, but it is uncertain whether the hiking cycle is over. In April, Momentum had no contribution to performance, whereas Quality had a positive contribution and Value added negatively to active returns over the month.
Stock specific effects, which are not attributable to any other factor, had a positive impact on active returns. Impact from active sector weights, which are a by-product of the multi-factor optimisation process, was negative over the month. Here, our marginal underweight in the Communications sector and overweight in the Materials sector both had a negative impact on active returns.
Market review Australian equities eked out a small positive return in March, led by Gold stocks. The RBA raised its overnight cash rate target by 25 basis points to 3.6%, the tenth consecutive meeting with a rate rise announcement. Some bank failures in the US forced the Federal Reserve to introduce additional liquidity measures to support confidence and minimise the risk of contagion. Real Estate was the worst-performing sector as US banking issues and tight credit amplified existing concerns regarding Commercial Real Estate (CRE). Value outperformed Growth, largely due to strong returns for Resources, while Quality outperformed both as investors sought out lower risk equities in response to US banking concerns.
In March, Momentum and Value had no significant impact on performance, whereas Quality had a positive contribution to active returns over the month. Stock specific effects, which are not attributable to any other factor, had a negative impact on active returns.
Impact from active sector weights, which are a by-product of the multi-factor optimisation process, was positive over the month. Here, our underweight in the Financials sector had a positive impact on returns.
Over March, the Australian multi-factor model posted positive results with all factors contributing. Momentum performed the best with Price Momentum leading over Earnings Momentum, followed by Quality and then Value.
Within our Australian universe, the highest rated stocks identified by our multi-factor model outperformed the broader market, while the least attractively rated stocks underperformed.
Australia’s equity market declined during the month of February. Comments by US Federal Reserve officials, pointing towards a more prolonged restrictive monetary policy, led stocks to fall. Investors’ concerns over falling spot prices caused prices of Material stocks to fall significantly, putting further downward pressure on the index. February coincides with interim and final reporting season for the majority of Australian companies and this led to significant dispersion in returns. Contribution from our multi-factor model was negative in February, despite moderately positive predictive power of the model.
Momentum and Quality both contributed negatively to performance, whereas Value had a positive contribution to active returns over the month. The Stock specific effects, which are not attributable to any other factor, had a positive impact on active returns. Impact from active sector weights, which are a by-product of the multi-factor optimisation process, was neutral over the month. Here, our overweight in the Information Technology sector had a positive impact on returns. An overweight in the Consumer Discretionary sector and an underweight in the Financials sector negatively affected performance.
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