Invesco Income Allocation Fund Market Value
ILAAX Fund | USD 10.31 0.05 0.49% |
Symbol | Invesco |
Invesco Income '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 Income'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 Income.
04/07/2024 |
| 05/07/2024 |
If you would invest 0.00 in Invesco Income on April 7, 2024 and sell it all today you would earn a total of 0.00 from holding Invesco Income Allocation or generate 0.0% return on investment in Invesco Income over 30 days. Invesco Income is related to or competes with Invesco Municipal, Invesco Municipal, Invesco Municipal, Oppenheimer Rising, Invesco High, Oppenheimer Strategic, and Oppenheimer International. The fund is a fund of funds, and invests its assets in other underlying mutual funds advised by the adviser and ETFs and... More
Invesco Income 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 Income'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 Income Allocation upside and downside potential and time the market with a certain degree of confidence.
Downside Deviation | 0.499 | |||
Information Ratio | (0.18) | |||
Maximum Drawdown | 1.75 | |||
Value At Risk | (0.69) | |||
Potential Upside | 0.5797 |
Invesco Income Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Invesco Income's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Invesco Income's standard deviation. In reality, there are many statistical measures that can use Invesco Income historical prices to predict the future Invesco Income's volatility.Risk Adjusted Performance | 0.002 | |||
Jensen Alpha | (0.03) | |||
Total Risk Alpha | (0.04) | |||
Sortino Ratio | (0.14) | |||
Treynor Ratio | (0.01) |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Invesco Income'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 Income Allocation Backtested Returns
We consider Invesco Income very steady. Invesco Income Allocation holds Efficiency (Sharpe) Ratio of 0.0614, which attests that the entity had a 0.0614% return per unit of risk over the last 3 months. We have found twenty-seven technical indicators for Invesco Income Allocation, which you can use to evaluate the volatility of the entity. Please check out Invesco Income's Downside Deviation of 0.499, market risk adjusted performance of (0.0007), and Risk Adjusted Performance of 0.002 to validate if the risk estimate we provide is consistent with the expected return of 0.0224%. The fund retains a Market Volatility (i.e., Beta) of 0.46, which attests to possible diversification benefits within a given portfolio. As returns on the market increase, Invesco Income's returns are expected to increase less than the market. However, during the bear market, the loss of holding Invesco Income is expected to be smaller as well.
Auto-correlation | -0.32 |
Poor reverse predictability
Invesco Income Allocation has poor reverse predictability. Overlapping area represents the amount of predictability between Invesco Income time series from 7th of April 2024 to 22nd of April 2024 and 22nd of April 2024 to 7th of May 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 Income Allocation price movement. The serial correlation of -0.32 indicates that nearly 32.0% of current Invesco Income price fluctuation can be explain by its past prices.
Correlation Coefficient | -0.32 | |
Spearman Rank Test | -0.48 | |
Residual Average | 0.0 | |
Price Variance | 0.0 |
Invesco Income Allocation lagged returns against current returns
Autocorrelation, which is Invesco Income 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 Income's mutual fund expected returns. We can calculate the autocorrelation of Invesco Income returns to help us make a trade decision. For example, suppose you find that Invesco Income 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 Income 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 Income mutual fund is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Invesco Income 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 Income mutual fund over time.
Current vs Lagged Prices |
Timeline |
Invesco Income Lagged Returns
When evaluating Invesco Income's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Invesco Income mutual fund have on its future price. Invesco Income 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 Income autocorrelation shows the relationship between Invesco Income mutual fund current value and its past values and can show if there is a momentum factor associated with investing in Invesco Income Allocation.
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 Income 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 Income's short interest history, or implied volatility extrapolated from Invesco Income options trading.
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Invesco Income 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.