Wilmington Intermediate Term Bond Fund Market Value
| ARIFX Fund | USD 13.60 0.13 0.97% |
| Symbol | Wilmington |
Wilmington Intermediate-ter '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 Wilmington Intermediate-ter'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 Wilmington Intermediate-ter.
| 10/28/2025 |
| 01/26/2026 |
If you would invest 0.00 in Wilmington Intermediate-ter on October 28, 2025 and sell it all today you would earn a total of 0.00 from holding Wilmington Intermediate Term Bond or generate 0.0% return on investment in Wilmington Intermediate-ter over 90 days. Wilmington Intermediate-ter is related to or competes with Guggenheim Managed, Ab Bond, Aqr Managed, Altegris Futures, and Guidepath Managed. The investment seeks current income and secondarily, capital growth More
Wilmington Intermediate-ter 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 Wilmington Intermediate-ter'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 Wilmington Intermediate Term Bond upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.6813 | |||
| Information Ratio | 0.078 | |||
| Maximum Drawdown | 2.78 | |||
| Value At Risk | (1.06) | |||
| Potential Upside | 1.07 |
Wilmington Intermediate-ter Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Wilmington Intermediate-ter's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Wilmington Intermediate-ter's standard deviation. In reality, there are many statistical measures that can use Wilmington Intermediate-ter historical prices to predict the future Wilmington Intermediate-ter's volatility.| Risk Adjusted Performance | 0.1427 | |||
| Jensen Alpha | 0.1057 | |||
| Total Risk Alpha | 0.0582 | |||
| Sortino Ratio | 0.0759 | |||
| Treynor Ratio | 0.5727 |
Wilmington Intermediate-ter January 26, 2026 Technical Indicators
| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
| Risk Adjusted Performance | 0.1427 | |||
| Market Risk Adjusted Performance | 0.5827 | |||
| Mean Deviation | 0.5262 | |||
| Semi Deviation | 0.4669 | |||
| Downside Deviation | 0.6813 | |||
| Coefficient Of Variation | 509.48 | |||
| Standard Deviation | 0.6626 | |||
| Variance | 0.439 | |||
| Information Ratio | 0.078 | |||
| Jensen Alpha | 0.1057 | |||
| Total Risk Alpha | 0.0582 | |||
| Sortino Ratio | 0.0759 | |||
| Treynor Ratio | 0.5727 | |||
| Maximum Drawdown | 2.78 | |||
| Value At Risk | (1.06) | |||
| Potential Upside | 1.07 | |||
| Downside Variance | 0.4642 | |||
| Semi Variance | 0.218 | |||
| Expected Short fall | (0.61) | |||
| Skewness | (0.18) | |||
| Kurtosis | (0.13) |
Wilmington Intermediate-ter Backtested Returns
At this stage we consider Wilmington Mutual Fund to be very steady. Wilmington Intermediate-ter shows Sharpe Ratio of 0.2, which attests that the fund had a 0.2 % return per unit of risk over the last 3 months. We have found twenty-eight technical indicators for Wilmington Intermediate-ter, which you can use to evaluate the volatility of the fund. Please check out Wilmington Intermediate-ter's Market Risk Adjusted Performance of 0.5827, mean deviation of 0.5262, and Downside Deviation of 0.6813 to validate if the risk estimate we provide is consistent with the expected return of 0.13%. The entity maintains a market beta of 0.21, which attests to not very significant fluctuations relative to the market. As returns on the market increase, Wilmington Intermediate-ter's returns are expected to increase less than the market. However, during the bear market, the loss of holding Wilmington Intermediate-ter is expected to be smaller as well.
Auto-correlation | 0.09 |
Virtually no predictability
Wilmington Intermediate Term Bond has virtually no predictability. Overlapping area represents the amount of predictability between Wilmington Intermediate-ter time series from 28th of October 2025 to 12th of December 2025 and 12th of December 2025 to 26th of January 2026. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of Wilmington Intermediate-ter price movement. The serial correlation of 0.09 indicates that less than 9.0% of current Wilmington Intermediate-ter price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.09 | |
| Spearman Rank Test | 0.12 | |
| Residual Average | 0.0 | |
| Price Variance | 0.04 |
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.Other Information on Investing in Wilmington Mutual Fund
Wilmington Intermediate-ter financial ratios help investors to determine whether Wilmington 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 Wilmington with respect to the benefits of owning Wilmington Intermediate-ter security.
| Portfolio Analyzer Portfolio analysis module that provides access to portfolio diagnostics and optimization engine | |
| Fundamental Analysis View fundamental data based on most recent published financial statements | |
| Watchlist Optimization Optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm | |
| Headlines Timeline Stay connected to all market stories and filter out noise. Drill down to analyze hype elasticity |