Tortoise Mlp Closed Fund Market Value
NTG Fund | USD 38.86 0.41 1.07% |
Symbol | Tortoise |
Tortoise Mlp '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 Tortoise Mlp's 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 Tortoise Mlp.
03/25/2024 |
| 04/24/2024 |
If you would invest 0.00 in Tortoise Mlp on March 25, 2024 and sell it all today you would earn a total of 0.00 from holding Tortoise Mlp Closed or generate 0.0% return on investment in Tortoise Mlp over 30 days. Tortoise Mlp is related to or competes with Tortoise Energy, Tortoise Energy, Apollo Tactical, Aberdeen Australia, Nuveen Multi, Mount Logan, and Urbana. Tortoise MLP Fund, Inc. is a close ended equity mutual fund launched and managed by Tortoise Capital Advisors L.L.C More
Tortoise Mlp 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 Tortoise Mlp's 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 Tortoise Mlp Closed upside and downside potential and time the market with a certain degree of confidence.
Downside Deviation | 0.9895 | |||
Information Ratio | 0.1345 | |||
Maximum Drawdown | 4.89 | |||
Value At Risk | (1.63) | |||
Potential Upside | 1.81 |
Tortoise Mlp Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Tortoise Mlp's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Tortoise Mlp's standard deviation. In reality, there are many statistical measures that can use Tortoise Mlp historical prices to predict the future Tortoise Mlp's volatility.Risk Adjusted Performance | 0.1426 | |||
Jensen Alpha | 0.1363 | |||
Total Risk Alpha | 0.085 | |||
Sortino Ratio | 0.1332 | |||
Treynor Ratio | 0.2238 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Tortoise Mlp'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.
Tortoise Mlp Closed Backtested Returns
Tortoise Mlp appears to be very steady, given 3 months investment horizon. Tortoise Mlp Closed owns Efficiency Ratio (i.e., Sharpe Ratio) of 0.22, which indicates the fund had a 0.22% return per unit of risk over the last 3 months. We have found thirty technical indicators for Tortoise Mlp Closed, which you can use to evaluate the volatility of the fund. Please review Tortoise Mlp's Semi Deviation of 0.663, risk adjusted performance of 0.1426, and Coefficient Of Variation of 443.18 to confirm if our risk estimates are consistent with your expectations. The entity has a beta of 0.94, which indicates possible diversification benefits within a given portfolio. Tortoise Mlp returns are very sensitive to returns on the market. As the market goes up or down, Tortoise Mlp is expected to follow.
Auto-correlation | -0.33 |
Poor reverse predictability
Tortoise Mlp Closed has poor reverse predictability. Overlapping area represents the amount of predictability between Tortoise Mlp time series from 25th of March 2024 to 9th of April 2024 and 9th of April 2024 to 24th of April 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 Tortoise Mlp Closed price movement. The serial correlation of -0.33 indicates that nearly 33.0% of current Tortoise Mlp price fluctuation can be explain by its past prices.
Correlation Coefficient | -0.33 | |
Spearman Rank Test | -0.12 | |
Residual Average | 0.0 | |
Price Variance | 0.64 |
Tortoise Mlp Closed lagged returns against current returns
Autocorrelation, which is Tortoise Mlp 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 Tortoise Mlp's fund expected returns. We can calculate the autocorrelation of Tortoise Mlp returns to help us make a trade decision. For example, suppose you find that Tortoise Mlp has exhibited high autocorrelation historically, and you observe that the 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 |
Tortoise Mlp 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 Tortoise Mlp fund is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Tortoise Mlp fund is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Tortoise Mlp fund over time.
Current vs Lagged Prices |
Timeline |
Tortoise Mlp Lagged Returns
When evaluating Tortoise Mlp's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Tortoise Mlp fund have on its future price. Tortoise Mlp 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, Tortoise Mlp autocorrelation shows the relationship between Tortoise Mlp fund current value and its past values and can show if there is a momentum factor associated with investing in Tortoise Mlp Closed.
Regressed Prices |
Timeline |
Building efficient market-beating portfolios requires time, education, and a lot of computing power!
The Portfolio Architect is an AI-driven system that provides multiple benefits to our users by leveraging cutting-edge machine learning algorithms, statistical analysis, and predictive modeling to automate the process of asset selection and portfolio construction, saving time and reducing human error for individual and institutional investors.
Try AI Portfolio ArchitectCheck out Tortoise Mlp Correlation, Tortoise Mlp Volatility and Tortoise Mlp Alpha and Beta module to complement your research on Tortoise Mlp. You can also try the Idea Optimizer module to use advanced portfolio builder with pre-computed micro ideas to build optimal portfolio .
Tortoise Mlp technical fund analysis exercises models and trading practices based on price and volume transformations, such as the moving averages, relative strength index, regressions, price and return correlations, business cycles, fund market cycles, or different charting patterns.