Sextant E Fund Market Value
SCORX Fund | USD 16.81 0.06 0.36% |
Symbol | Sextant |
Sextant Core '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 Core'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 Core.
12/19/2024 |
| 01/18/2025 |
If you would invest 0.00 in Sextant Core on December 19, 2024 and sell it all today you would earn a total of 0.00 from holding Sextant E Fund or generate 0.0% return on investment in Sextant Core over 30 days. Sextant Core is related to or competes with Sextant Growth, Sextant International, Sextant Bond, Sextant Short-term, Sextant Global, and Sextant Growth. The fund invests in a mix of equity and debt securities More
Sextant Core 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 Core'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 E Fund upside and downside potential and time the market with a certain degree of confidence.
Information Ratio | (0.12) | |||
Maximum Drawdown | 2.35 | |||
Value At Risk | (0.89) | |||
Potential Upside | 0.479 |
Sextant Core Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Sextant Core's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Sextant Core's standard deviation. In reality, there are many statistical measures that can use Sextant Core historical prices to predict the future Sextant Core's volatility.Risk Adjusted Performance | (0.06) | |||
Jensen Alpha | (0.04) | |||
Total Risk Alpha | (0.05) | |||
Treynor Ratio | (0.23) |
Sextant E Fund Backtested Returns
Sextant E Fund owns Efficiency Ratio (i.e., Sharpe Ratio) of -0.0612, which indicates the fund had a -0.0612% return per unit of risk over the last 3 months. Sextant E Fund exposes twenty-one different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please validate Sextant Core's Coefficient Of Variation of (1,633), risk adjusted performance of (0.06), and Variance of 0.2275 to confirm the risk estimate we provide. The entity has a beta of 0.17, which indicates not very significant fluctuations relative to the market. As returns on the market increase, Sextant Core's returns are expected to increase less than the market. However, during the bear market, the loss of holding Sextant Core is expected to be smaller as well.
Auto-correlation | -0.33 |
Poor reverse predictability
Sextant E Fund has poor reverse predictability. Overlapping area represents the amount of predictability between Sextant Core 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 E Fund price movement. The serial correlation of -0.33 indicates that nearly 33.0% of current Sextant Core price fluctuation can be explain by its past prices.
Correlation Coefficient | -0.33 | |
Spearman Rank Test | 0.24 | |
Residual Average | 0.0 | |
Price Variance | 0.01 |
Sextant E Fund lagged returns against current returns
Autocorrelation, which is Sextant Core 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 Core's mutual fund expected returns. We can calculate the autocorrelation of Sextant Core returns to help us make a trade decision. For example, suppose you find that Sextant Core 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 Core 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 Core mutual fund is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Sextant Core 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 Core mutual fund over time.
Current vs Lagged Prices |
Timeline |
Sextant Core Lagged Returns
When evaluating Sextant Core's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Sextant Core mutual fund have on its future price. Sextant Core 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 Core autocorrelation shows the relationship between Sextant Core mutual fund current value and its past values and can show if there is a momentum factor associated with investing in Sextant E Fund.
Regressed Prices |
Timeline |
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Other Information on Investing in Sextant Mutual Fund
Sextant Core 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 Core security.
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