Income Allocation Fund Market Value
| JIASX Fund | USD 9.50 0.03 0.32% |
| Symbol | Income |
Income Allocation '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 Income Allocation'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 Income Allocation.
| 04/24/2025 |
| 07/23/2025 |
If you would invest 0.00 in Income Allocation on April 24, 2025 and sell it all today you would earn a total of 0.00 from holding Income Allocation Fund or generate 0.0% return on investment in Income Allocation over 90 days. Income Allocation is related to or competes with Calvert Global, Icon Natural, Invesco Energy, Ivy Natural, Invesco Energy, Goehring Rozencwajg, and Ivy Energy. The fund has significant flexibility to achieve its investment objective and invests in a broad range of income-producin... More
Income Allocation 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 Income Allocation'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 Income Allocation Fund upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.2547 | |||
| Information Ratio | (0.48) | |||
| Maximum Drawdown | 1.32 | |||
| Value At Risk | (0.32) | |||
| Potential Upside | 0.5394 |
Income Allocation Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Income Allocation's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Income Allocation's standard deviation. In reality, there are many statistical measures that can use Income Allocation historical prices to predict the future Income Allocation's volatility.| Risk Adjusted Performance | 0.3311 | |||
| Jensen Alpha | 0.0503 | |||
| Total Risk Alpha | 0.0319 | |||
| Sortino Ratio | (0.46) | |||
| Treynor Ratio | 0.4754 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Income Allocation'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.
Income Allocation Backtested Returns
At this stage we consider Income Mutual Fund to be very steady. Income Allocation holds Efficiency (Sharpe) Ratio of 0.4, which attests that the entity had a 0.4 % return per unit of risk over the last 3 months. We have found twenty-seven technical indicators for Income Allocation, which you can use to evaluate the volatility of the entity. Please check out Income Allocation's Risk Adjusted Performance of 0.3311, coefficient of variation of 249.04, and Market Risk Adjusted Performance of 0.4854 to validate if the risk estimate we provide is consistent with the expected return of 0.0987%. The fund retains a Market Volatility (i.e., Beta) of 0.19, which attests to not very significant fluctuations relative to the market. As returns on the market increase, Income Allocation's returns are expected to increase less than the market. However, during the bear market, the loss of holding Income Allocation is expected to be smaller as well.
Auto-correlation | 0.93 |
Excellent predictability
Income Allocation Fund has excellent predictability. Overlapping area represents the amount of predictability between Income Allocation time series from 24th of April 2025 to 8th of June 2025 and 8th of June 2025 to 23rd of July 2025. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of Income Allocation price movement. The serial correlation of 0.93 indicates that approximately 93.0% of current Income Allocation price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.93 | |
| Spearman Rank Test | 0.88 | |
| Residual Average | 0.0 | |
| Price Variance | 0.01 |
Income Allocation lagged returns against current returns
Autocorrelation, which is Income Allocation 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 Income Allocation's mutual fund expected returns. We can calculate the autocorrelation of Income Allocation returns to help us make a trade decision. For example, suppose you find that Income Allocation 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 |
Income Allocation 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 Income Allocation mutual fund is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Income Allocation mutual fund is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Income Allocation mutual fund over time.
Current vs Lagged Prices |
| Timeline |
Income Allocation Lagged Returns
When evaluating Income Allocation's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Income Allocation mutual fund have on its future price. Income Allocation 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, Income Allocation autocorrelation shows the relationship between Income Allocation mutual fund current value and its past values and can show if there is a momentum factor associated with investing in Income Allocation Fund.
Regressed Prices |
| Timeline |
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Other Information on Investing in Income Mutual Fund
Income Allocation financial ratios help investors to determine whether Income Mutual Fund is cheap or expensive when compared to a particular measure, such as profits or enterprise value. In other words, they help investors to determine the cost of investment in Income with respect to the benefits of owning Income Allocation security.
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