Sextant Short Term Bond Fund Market Value
| STBFX Fund | USD 4.94 0.01 0.20% |
| Symbol | Sextant |
Sextant Short-term '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 Sextant Short-term'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 Sextant Short-term.
| 12/19/2024 |
| 01/18/2025 |
If you would invest 0.00 in Sextant Short-term on December 19, 2024 and sell it all today you would earn a total of 0.00 from holding Sextant Short Term Bond or generate 0.0% return on investment in Sextant Short-term over 30 days. Sextant Short-term is related to or competes with Ambrus Core, Enhanced Fixed, Ab Bond, Dreyfusstandish Global, Maryland Tax-free, and Georgia Tax-free. The fund invests at least 80 percent of its net assets in bonds, including corporate and government bonds More
Sextant Short-term 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 Sextant Short-term'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 Sextant Short Term Bond upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.2481 | |||
| Information Ratio | (0.19) | |||
| Maximum Drawdown | 0.6085 | |||
| Value At Risk | (0.20) | |||
| Potential Upside | 0.2033 |
Sextant Short-term Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Sextant Short-term's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Sextant Short-term's standard deviation. In reality, there are many statistical measures that can use Sextant Short-term historical prices to predict the future Sextant Short-term's volatility.| Risk Adjusted Performance | (0.02) | |||
| Jensen Alpha | (0) | |||
| Total Risk Alpha | (0.01) | |||
| Sortino Ratio | (0.09) | |||
| Treynor Ratio | 1.72 |
Sextant Short Term Backtested Returns
At this stage we consider Sextant Mutual Fund to be very steady. Sextant Short Term owns Efficiency Ratio (i.e., Sharpe Ratio) of 0.0835, which indicates the fund had a 0.0835% return per unit of risk over the last 3 months. We have found twenty-seven technical indicators for Sextant Short Term Bond, which you can use to evaluate the volatility of the fund. Please validate Sextant Short-term's Coefficient Of Variation of 1978.55, semi deviation of 0.0544, and Risk Adjusted Performance of (0.02) to confirm if the risk estimate we provide is consistent with the expected return of 0.0099%. The entity has a beta of -0.0022, which indicates not very significant fluctuations relative to the market. As returns on the market increase, returns on owning Sextant Short-term are expected to decrease at a much lower rate. During the bear market, Sextant Short-term is likely to outperform the market.
Auto-correlation | 0.25 |
Poor predictability
Sextant Short Term Bond has poor predictability. Overlapping area represents the amount of predictability between Sextant Short-term time series from 19th of December 2024 to 3rd of January 2025 and 3rd of January 2025 to 18th of January 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 Sextant Short Term price movement. The serial correlation of 0.25 indicates that over 25.0% of current Sextant Short-term price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.25 | |
| Spearman Rank Test | 0.54 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
Sextant Short Term lagged returns against current returns
Autocorrelation, which is Sextant Short-term 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 Sextant Short-term's mutual fund expected returns. We can calculate the autocorrelation of Sextant Short-term returns to help us make a trade decision. For example, suppose you find that Sextant Short-term 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 |
Sextant Short-term 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 Sextant Short-term mutual fund is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Sextant Short-term mutual fund is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Sextant Short-term mutual fund over time.
Current vs Lagged Prices |
| Timeline |
Sextant Short-term Lagged Returns
When evaluating Sextant Short-term's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Sextant Short-term mutual fund have on its future price. Sextant Short-term 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, Sextant Short-term autocorrelation shows the relationship between Sextant Short-term mutual fund current value and its past values and can show if there is a momentum factor associated with investing in Sextant Short Term Bond.
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.| BTC | Bitcoin | |
| TRX | TRON | |
| BNB | Binance Coin |
Other Information on Investing in Sextant Mutual Fund
Sextant Short-term financial ratios help investors to determine whether Sextant 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 Sextant with respect to the benefits of owning Sextant Short-term security.
| Equity Forecasting Use basic forecasting models to generate price predictions and determine price momentum | |
| Piotroski F Score Get Piotroski F Score based on the binary analysis strategy of nine different fundamentals |