Short Duration Income Fund Market Value
| WEFIX Fund | USD 11.98 0.01 0.08% |
| Symbol | Short |
Short Duration '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 Short Duration'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 Short Duration.
| 11/02/2024 |
| 12/02/2024 |
If you would invest 0.00 in Short Duration on November 2, 2024 and sell it all today you would earn a total of 0.00 from holding Short Duration Income or generate 0.0% return on investment in Short Duration over 30 days. Short Duration is related to or competes with SPACE, Bayview Acquisition, Ampleforth, Ionet, Eureka Acquisition, Embecta Corp, and Kodiak Sciences. Under normal circumstances, the fund will invest at least 80 percent of its net assets, plus the amount of any borrowing... More
Short Duration 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 Short Duration'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 Short Duration Income upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.1047 | |||
| Information Ratio | (1.12) | |||
| Maximum Drawdown | 0.5872 | |||
| Value At Risk | (0.08) | |||
| Potential Upside | 0.1678 |
Short Duration Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Short Duration's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Short Duration's standard deviation. In reality, there are many statistical measures that can use Short Duration historical prices to predict the future Short Duration's volatility.| Risk Adjusted Performance | 0.0379 | |||
| Jensen Alpha | 0.0067 | |||
| Total Risk Alpha | (0.01) | |||
| Sortino Ratio | (1.18) | |||
| Treynor Ratio | (0.19) |
Short Duration Income Backtested Returns
At this stage we consider Short Mutual Fund to be very steady. Short Duration Income owns Efficiency Ratio (i.e., Sharpe Ratio) of 0.0759, which indicates the fund had a 0.0759% return per unit of risk over the last 3 months. We have found twenty-six technical indicators for Short Duration Income, which you can use to evaluate the volatility of the fund. Please validate Short Duration's Standard Deviation of 0.1105, downside deviation of 0.1047, and Risk Adjusted Performance of 0.0379 to confirm if the risk estimate we provide is consistent with the expected return of 0.0079%. The entity has a beta of -0.0211, which indicates not very significant fluctuations relative to the market. As returns on the market increase, returns on owning Short Duration are expected to decrease at a much lower rate. During the bear market, Short Duration is likely to outperform the market.
Auto-correlation | -0.71 |
Almost perfect reverse predictability
Short Duration Income has almost perfect reverse predictability. Overlapping area represents the amount of predictability between Short Duration time series from 2nd of November 2024 to 17th of November 2024 and 17th of November 2024 to 2nd of December 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 Short Duration Income price movement. The serial correlation of -0.71 indicates that around 71.0% of current Short Duration price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.71 | |
| Spearman Rank Test | -0.54 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
Short Duration Income lagged returns against current returns
Autocorrelation, which is Short Duration 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 Short Duration's mutual fund expected returns. We can calculate the autocorrelation of Short Duration returns to help us make a trade decision. For example, suppose you find that Short Duration 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 |
Short Duration 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 Short Duration mutual fund is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Short Duration mutual fund is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Short Duration mutual fund over time.
Current vs Lagged Prices |
| Timeline |
Short Duration Lagged Returns
When evaluating Short Duration's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Short Duration mutual fund have on its future price. Short Duration 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, Short Duration autocorrelation shows the relationship between Short Duration mutual fund current value and its past values and can show if there is a momentum factor associated with investing in Short Duration Income.
Regressed Prices |
| Timeline |
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 Short Mutual Fund
Short Duration financial ratios help investors to determine whether Short 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 Short with respect to the benefits of owning Short Duration security.
| My Watchlist Analysis Analyze my current watchlist and to refresh optimization strategy. Macroaxis watchlist is based on self-learning algorithm to remember stocks you like | |
| Equity Search Search for actively traded equities including funds and ETFs from over 30 global markets | |
| Equity Valuation Check real value of public entities based on technical and fundamental data | |
| Fundamental Analysis View fundamental data based on most recent published financial statements |