Invesco Small Cap Fund Market Value
| VSRAX Fund | USD 21.92 0.09 0.41% |
| Symbol | Invesco |
Invesco Small 'What if' Analysis
In the world of financial modeling, what-if analysis is part of sensitivity analysis performed to test how changes in assumptions impact individual outputs in a model. When applied to Invesco Small's mutual fund what-if analysis refers to the analyzing how the change in your past investing horizon will affect the profitability against the current market value of Invesco Small.
| 03/25/2024 |
| 04/24/2024 |
If you would invest 0.00 in Invesco Small on March 25, 2024 and sell it all today you would earn a total of 0.00 from holding Invesco Small Cap or generate 0.0% return on investment in Invesco Small over 30 days. Invesco Small is related to or competes with Wealthbuilder Conservative, Tax Free, Federated Hermes, Global Diversified, Blackrock Conservative, Jpmorgan Diversified, and Prudential Core. The fund invests, under normal circumstances, at least 80 percent of its net assets in securities of small capitalizatio... More
Invesco Small Upside/Downside Indicators
Understanding different market momentum indicators often help investors to time their next move. Potential upside and downside technical ratios enable traders to measure Invesco Small's mutual fund current market value against overall market sentiment and can be a good tool during both bulling and bearish trends. Here we outline some of the essential indicators to assess Invesco Small Cap upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 1.1 | |||
| Information Ratio | 0.0586 | |||
| Maximum Drawdown | 4.38 | |||
| Value At Risk | (1.76) | |||
| Potential Upside | 1.76 |
Invesco Small Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Invesco Small's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Invesco Small's standard deviation. In reality, there are many statistical measures that can use Invesco Small historical prices to predict the future Invesco Small's volatility.| Risk Adjusted Performance | 0.0992 | |||
| Jensen Alpha | 0.0223 | |||
| Total Risk Alpha | 0.0063 | |||
| Sortino Ratio | 0.0541 | |||
| Treynor Ratio | 0.1009 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Invesco Small's price to converge to an average value over time is called mean reversion. However, historically, high market prices usually discourage investors that believe in mean reversion to invest, while low prices are viewed as an opportunity to buy.
Invesco Small Cap Backtested Returns
We consider Invesco Small somewhat reliable. Invesco Small Cap holds Efficiency (Sharpe) Ratio of 0.14, which attests that the entity had a 0.14% return per unit of risk over the last 3 months. We have found twenty-eight technical indicators for Invesco Small Cap, which you can use to evaluate the volatility of the entity. Please check out Invesco Small's Downside Deviation of 1.1, risk adjusted performance of 0.0992, and Market Risk Adjusted Performance of 0.1109 to validate if the risk estimate we provide is consistent with the expected return of 0.14%. The fund retains a Market Volatility (i.e., Beta) of 1.43, which attests to a somewhat significant risk relative to the market. As the market goes up, the company is expected to outperform it. However, if the market returns are negative, Invesco Small will likely underperform.
Auto-correlation | -0.62 |
Very good reverse predictability
Invesco Small Cap has very good reverse predictability. Overlapping area represents the amount of predictability between Invesco Small time series from 25th of March 2024 to 9th of April 2024 and 9th of April 2024 to 24th of April 2024. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of Invesco Small Cap price movement. The serial correlation of -0.62 indicates that roughly 62.0% of current Invesco Small price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.62 | |
| Spearman Rank Test | -0.62 | |
| Residual Average | 0.0 | |
| Price Variance | 0.19 |
Invesco Small Cap lagged returns against current returns
Autocorrelation, which is Invesco Small mutual fund's lagged correlation, explains the relationship between observations of its time series of returns over different periods of time. The observations are said to be independent if autocorrelation is zero. Autocorrelation is calculated as a function of mean and variance and can have practical application in predicting Invesco Small's mutual fund expected returns. We can calculate the autocorrelation of Invesco Small returns to help us make a trade decision. For example, suppose you find that Invesco Small has exhibited high autocorrelation historically, and you observe that the mutual fund is moving up for the past few days. In that case, you can expect the price movement to match the lagging time series.
Current and Lagged Values |
| Timeline |
Invesco Small regressed lagged prices vs. current prices
Serial correlation can be approximated by using the Durbin-Watson (DW) test. The correlation can be either positive or negative. If Invesco Small mutual fund is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Invesco Small mutual fund is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Invesco Small mutual fund over time.
Current vs Lagged Prices |
| Timeline |
Invesco Small Lagged Returns
When evaluating Invesco Small's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Invesco Small mutual fund have on its future price. Invesco Small autocorrelation represents the degree of similarity between a given time horizon and a lagged version of the same horizon over the previous time interval. In other words, Invesco Small autocorrelation shows the relationship between Invesco Small mutual fund current value and its past values and can show if there is a momentum factor associated with investing in Invesco Small Cap.
Regressed Prices |
| Timeline |
Some investors attempt to determine whether the market's mood is bullish or bearish by monitoring changes in market sentiment. Unlike more traditional methods such as technical analysis, investor sentiment usually refers to the aggregate attitude towards Invesco Small in the overall investment community. So, suppose investors can accurately measure the market's sentiment. In that case, they can use it for their benefit. For example, some tools to gauge market sentiment could be utilized using contrarian indexes, Invesco Small's short interest history, or implied volatility extrapolated from Invesco Small options trading.
Also Currently Popular
Analyzing currently trending equities could be an opportunity to develop a better portfolio based on different market momentums that they can trigger. Utilizing the top trending stocks is also useful when creating a market-neutral strategy or pair trading technique involving a short or a long position in a currently trending equity.Check out Invesco Small Correlation, Invesco Small Volatility and Invesco Small Alpha and Beta module to complement your research on Invesco Small. Note that the Invesco Small Cap information on this page should be used as a complementary analysis to other Invesco Small's statistical models used to find the right mix of equity instruments to add to your existing portfolios or create a brand new portfolio. You can also try the Fundamentals Comparison module to compare fundamentals across multiple equities to find investing opportunities.
Invesco Small technical mutual fund analysis exercises models and trading practices based on price and volume transformations, such as the moving averages, relative strength index, regressions, price and return correlations, business cycles, fund market cycles, or different charting patterns.