Steelpath Select 40 Fund Market Value
MLPEX Fund | USD 6.74 0.03 0.45% |
Symbol | Steelpath |
Steelpath Select '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 Steelpath Select'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 Steelpath Select.
02/27/2024 |
| 03/28/2024 |
If you would invest 0.00 in Steelpath Select on February 27, 2024 and sell it all today you would earn a total of 0.00 from holding Steelpath Select 40 or generate 0.0% return on investment in Steelpath Select over 30 days. Steelpath Select is related to or competes with USCF Gold, Invesco Real, Invesco Municipal, Invesco Municipal, Invesco Municipal, Aim Investment, and Oppenheimer Rising. Under normal circumstances, the fund invests at least 80 percent of its net assets in master limited partnership investments of issuers that are engaged in the transportation, storage, processing, refining, marketing, exploration, production, and mining of minerals and natural resources, and in derivatives and other instruments that have economic characteristics similar to such securities. More
Steelpath Select 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 Steelpath Select'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 Steelpath Select 40 upside and downside potential and time the market with a certain degree of confidence.
Downside Deviation | 0.5811 | |||
Information Ratio | 0.0329 | |||
Maximum Drawdown | 2.83 | |||
Value At Risk | (0.82) | |||
Potential Upside | 0.9231 |
Steelpath Select Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Steelpath Select's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Steelpath Select's standard deviation. In reality, there are many statistical measures that can use Steelpath Select historical prices to predict the future Steelpath Select's volatility.Risk Adjusted Performance | 0.1451 | |||
Jensen Alpha | 0.1468 | |||
Total Risk Alpha | 0.0115 | |||
Sortino Ratio | 0.0335 | |||
Treynor Ratio | (5.73) |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Steelpath Select'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.
Steelpath Select Backtested Returns
We consider Steelpath Select very steady. Steelpath Select owns Efficiency Ratio (i.e., Sharpe Ratio) of 0.28, which indicates the fund had a 0.28% return per unit of risk over the last 3 months. We have found twenty-eight technical indicators for Steelpath Select 40, which you can use to evaluate the volatility of the fund. Please validate Steelpath Select's Semi Deviation of 0.2463, coefficient of variation of 384.41, and Risk Adjusted Performance of 0.1451 to confirm if the risk estimate we provide is consistent with the expected return of 0.17%. The entity has a beta of -0.0251, which indicates not very significant fluctuations relative to the market. As returns on the market increase, returns on owning Steelpath Select are expected to decrease at a much lower rate. During the bear market, Steelpath Select is likely to outperform the market.
Auto-correlation | 0.92 |
Excellent predictability
Steelpath Select 40 has excellent predictability. Overlapping area represents the amount of predictability between Steelpath Select time series from 27th of February 2024 to 13th of March 2024 and 13th of March 2024 to 28th of March 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 Steelpath Select price movement. The serial correlation of 0.92 indicates that approximately 92.0% of current Steelpath Select price fluctuation can be explain by its past prices.
Correlation Coefficient | 0.92 | |
Spearman Rank Test | 0.82 | |
Residual Average | 0.0 | |
Price Variance | 0.0 |
Steelpath Select lagged returns against current returns
Autocorrelation, which is Steelpath Select 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 Steelpath Select's mutual fund expected returns. We can calculate the autocorrelation of Steelpath Select returns to help us make a trade decision. For example, suppose you find that Steelpath Select 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 |
Steelpath Select 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 Steelpath Select mutual fund is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Steelpath Select mutual fund is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Steelpath Select mutual fund over time.
Current vs Lagged Prices |
Timeline |
Steelpath Select Lagged Returns
When evaluating Steelpath Select's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Steelpath Select mutual fund have on its future price. Steelpath Select 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, Steelpath Select autocorrelation shows the relationship between Steelpath Select mutual fund current value and its past values and can show if there is a momentum factor associated with investing in Steelpath Select 40.
Regressed Prices |
Timeline |
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Try AI Portfolio ArchitectCheck out Steelpath Select Correlation, Steelpath Select Volatility and Steelpath Select Alpha and Beta module to complement your research on Steelpath Select. Note that the Steelpath Select information on this page should be used as a complementary analysis to other Steelpath Select's statistical models used to find the right mix of equity instruments to add to your existing portfolios or create a brand new portfolio. You can also try the Money Flow Index module to determine momentum by analyzing Money Flow Index and other technical indicators.
Complementary Tools for Steelpath Mutual Fund analysis
When running Steelpath Select's price analysis, check to measure Steelpath Select's market volatility, profitability, liquidity, solvency, efficiency, growth potential, financial leverage, and other vital indicators. We have many different tools that can be utilized to determine how healthy Steelpath Select is operating at the current time. Most of Steelpath Select's value examination focuses on studying past and present price action to predict the probability of Steelpath Select's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Steelpath Select's price. Additionally, you may evaluate how the addition of Steelpath Select to your portfolios can decrease your overall portfolio volatility.
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