Oppenheimer Steelpath Mlp Fund Market Value
MLPMX Fund | USD 4.20 0.04 0.96% |
Symbol | Oppenheimer |
Oppenheimer Steelpath '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 Oppenheimer Steelpath'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 Oppenheimer Steelpath.
04/09/2022 |
| 03/29/2024 |
If you would invest 0.00 in Oppenheimer Steelpath on April 9, 2022 and sell it all today you would earn a total of 0.00 from holding Oppenheimer Steelpath Mlp or generate 0.0% return on investment in Oppenheimer Steelpath over 720 days. Oppenheimer Steelpath is related to or competes with Tortoise Mlp, Oppenheimer Steelpath, Oppenheimer Steelpath, Oppenheimer Steelpath, Oppenheimer Steelpath, Oppenheimer Steelpath, and Oppenheimer Steelpath. Under normal circumstances, the fund invests at least 80 percent of its net assets in master limited partnership investm... More
Oppenheimer Steelpath 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 Oppenheimer Steelpath'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 Oppenheimer Steelpath Mlp upside and downside potential and time the market with a certain degree of confidence.
Downside Deviation | 0.7627 | |||
Information Ratio | 0.1587 | |||
Maximum Drawdown | 3.47 | |||
Value At Risk | (0.99) | |||
Potential Upside | 1.5 |
Oppenheimer Steelpath Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Oppenheimer Steelpath's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Oppenheimer Steelpath's standard deviation. In reality, there are many statistical measures that can use Oppenheimer Steelpath historical prices to predict the future Oppenheimer Steelpath's volatility.Risk Adjusted Performance | 0.1876 | |||
Jensen Alpha | 0.1557 | |||
Total Risk Alpha | 0.0736 | |||
Sortino Ratio | 0.1614 | |||
Treynor Ratio | 0.3357 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Oppenheimer Steelpath'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.
Oppenheimer Steelpath Mlp Backtested Returns
Oppenheimer Steelpath appears to be not too volatile, given 3 months investment horizon. Oppenheimer Steelpath Mlp maintains Sharpe Ratio (i.e., Efficiency) of 0.34, which implies the entity had a 0.34% return per unit of risk over the last 3 months. We have found twenty-eight technical indicators for Oppenheimer Steelpath Mlp, which you can use to evaluate the volatility of the fund. Please evaluate Oppenheimer Steelpath's Risk Adjusted Performance of 0.1876, semi deviation of 0.3472, and Coefficient Of Variation of 300.67 to confirm if our risk estimates are consistent with your expectations. The fund holds a Beta of 0.74, which implies possible diversification benefits within a given portfolio. As returns on the market increase, Oppenheimer Steelpath's returns are expected to increase less than the market. However, during the bear market, the loss of holding Oppenheimer Steelpath is expected to be smaller as well.
Auto-correlation | 0.52 |
Modest predictability
Oppenheimer Steelpath Mlp has modest predictability. Overlapping area represents the amount of predictability between Oppenheimer Steelpath time series from 9th of April 2022 to 4th of April 2023 and 4th of April 2023 to 29th 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 Oppenheimer Steelpath Mlp price movement. The serial correlation of 0.52 indicates that about 52.0% of current Oppenheimer Steelpath price fluctuation can be explain by its past prices.
Correlation Coefficient | 0.52 | |
Spearman Rank Test | 0.6 | |
Residual Average | 0.0 | |
Price Variance | 0.09 |
Oppenheimer Steelpath Mlp lagged returns against current returns
Autocorrelation, which is Oppenheimer Steelpath 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 Oppenheimer Steelpath's mutual fund expected returns. We can calculate the autocorrelation of Oppenheimer Steelpath returns to help us make a trade decision. For example, suppose you find that Oppenheimer Steelpath 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 |
Oppenheimer Steelpath 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 Oppenheimer Steelpath mutual fund is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Oppenheimer Steelpath mutual fund is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Oppenheimer Steelpath mutual fund over time.
Current vs Lagged Prices |
Timeline |
Oppenheimer Steelpath Lagged Returns
When evaluating Oppenheimer Steelpath's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Oppenheimer Steelpath mutual fund have on its future price. Oppenheimer Steelpath 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, Oppenheimer Steelpath autocorrelation shows the relationship between Oppenheimer Steelpath mutual fund current value and its past values and can show if there is a momentum factor associated with investing in Oppenheimer Steelpath Mlp.
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 Oppenheimer Steelpath Correlation, Oppenheimer Steelpath Volatility and Oppenheimer Steelpath Alpha and Beta module to complement your research on Oppenheimer Steelpath. You can also try the Aroon Oscillator module to analyze current equity momentum using Aroon Oscillator and other momentum ratios.
Complementary Tools for Oppenheimer Mutual Fund analysis
When running Oppenheimer Steelpath's price analysis, check to measure Oppenheimer Steelpath'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 Oppenheimer Steelpath is operating at the current time. Most of Oppenheimer Steelpath's value examination focuses on studying past and present price action to predict the probability of Oppenheimer Steelpath's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Oppenheimer Steelpath's price. Additionally, you may evaluate how the addition of Oppenheimer Steelpath to your portfolios can decrease your overall portfolio volatility.
Money Managers Screen money managers from public funds and ETFs managed around the world | |
Latest Portfolios Quick portfolio dashboard that showcases your latest portfolios | |
Options Analysis Analyze and evaluate options and option chains as a potential hedge for your portfolios | |
Stocks Directory Find actively traded stocks across global markets | |
Content Syndication Quickly integrate customizable finance content to your own investment portal | |
Fundamental Analysis View fundamental data based on most recent published financial statements | |
ETF Categories List of ETF categories grouped based on various criteria, such as the investment strategy or type of investments | |
Piotroski F Score Get Piotroski F Score based on the binary analysis strategy of nine different fundamentals | |
Odds Of Bankruptcy Get analysis of equity chance of financial distress in the next 2 years | |
Money Flow Index Determine momentum by analyzing Money Flow Index and other technical indicators | |
Portfolio Manager State of the art Portfolio Manager to monitor and improve performance of your invested capital | |
AI Portfolio Architect Use AI to generate optimal portfolios and find profitable investment opportunities |
Oppenheimer Steelpath technical mutual 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.