Etracs Quarterly Pay Etf Market Value
MLPR Etf | USD 64.38 1.31 2.08% |
Symbol | ETRACS |
The market value of ETRACS Quarterly Pay is measured differently than its book value, which is the value of ETRACS that is recorded on the company's balance sheet. Investors also form their own opinion of ETRACS Quarterly's value that differs from its market value or its book value, called intrinsic value, which is ETRACS Quarterly's true underlying value. Investors use various methods to calculate intrinsic value and buy a stock when its market value falls below its intrinsic value. Because ETRACS Quarterly's market value can be influenced by many factors that don't directly affect ETRACS Quarterly's underlying business (such as a pandemic or basic market pessimism), market value can vary widely from intrinsic value.
Please note, there is a significant difference between ETRACS Quarterly's value and its price as these two are different measures arrived at by different means. Investors typically determine if ETRACS Quarterly is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, ETRACS Quarterly's price is the amount at which it trades on the open market and represents the number that a seller and buyer find agreeable to each party.
ETRACS Quarterly '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 ETRACS Quarterly's etf 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 ETRACS Quarterly.
08/30/2024 |
| 11/28/2024 |
If you would invest 0.00 in ETRACS Quarterly on August 30, 2024 and sell it all today you would earn a total of 0.00 from holding ETRACS Quarterly Pay or generate 0.0% return on investment in ETRACS Quarterly over 90 days. ETRACS Quarterly is related to or competes with ABIVAX Société, Morningstar Unconstrained, SPACE, Knife River, LiCycle Holdings, Capital Income, and SEI Investments. The index measures the composite performance of energy MLPs, and is calculated by SP using a capped, float-adjusted, cap... More
ETRACS Quarterly 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 ETRACS Quarterly's etf 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 ETRACS Quarterly Pay upside and downside potential and time the market with a certain degree of confidence.
Downside Deviation | 1.38 | |||
Information Ratio | 0.0427 | |||
Maximum Drawdown | 9.64 | |||
Value At Risk | (1.75) | |||
Potential Upside | 2.82 |
ETRACS Quarterly Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for ETRACS Quarterly's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as ETRACS Quarterly's standard deviation. In reality, there are many statistical measures that can use ETRACS Quarterly historical prices to predict the future ETRACS Quarterly's volatility.Risk Adjusted Performance | 0.1066 | |||
Jensen Alpha | 0.0714 | |||
Total Risk Alpha | (0.04) | |||
Sortino Ratio | 0.0443 | |||
Treynor Ratio | 0.1982 |
ETRACS Quarterly Pay Backtested Returns
ETRACS Quarterly appears to be very steady, given 3 months investment horizon. ETRACS Quarterly Pay secures Sharpe Ratio (or Efficiency) of 0.16, which denotes the etf had a 0.16% return per unit of volatility over the last 3 months. We have found twenty-nine technical indicators for ETRACS Quarterly Pay, which you can use to evaluate the volatility of the entity. Please utilize ETRACS Quarterly's Market Risk Adjusted Performance of 0.2082, mean deviation of 0.9978, and Downside Deviation of 1.38 to check if our risk estimates are consistent with your expectations. The etf shows a Beta (market volatility) of 0.92, which means possible diversification benefits within a given portfolio. ETRACS Quarterly returns are very sensitive to returns on the market. As the market goes up or down, ETRACS Quarterly is expected to follow.
Auto-correlation | 0.44 |
Average predictability
ETRACS Quarterly Pay has average predictability. Overlapping area represents the amount of predictability between ETRACS Quarterly time series from 30th of August 2024 to 14th of October 2024 and 14th of October 2024 to 28th of November 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 ETRACS Quarterly Pay price movement. The serial correlation of 0.44 indicates that just about 44.0% of current ETRACS Quarterly price fluctuation can be explain by its past prices.
Correlation Coefficient | 0.44 | |
Spearman Rank Test | 0.32 | |
Residual Average | 0.0 | |
Price Variance | 5.29 |
ETRACS Quarterly Pay lagged returns against current returns
Autocorrelation, which is ETRACS Quarterly etf'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 ETRACS Quarterly's etf expected returns. We can calculate the autocorrelation of ETRACS Quarterly returns to help us make a trade decision. For example, suppose you find that ETRACS Quarterly has exhibited high autocorrelation historically, and you observe that the etf 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 |
ETRACS Quarterly 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 ETRACS Quarterly etf is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if ETRACS Quarterly etf is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in ETRACS Quarterly etf over time.
Current vs Lagged Prices |
Timeline |
ETRACS Quarterly Lagged Returns
When evaluating ETRACS Quarterly's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of ETRACS Quarterly etf have on its future price. ETRACS Quarterly 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, ETRACS Quarterly autocorrelation shows the relationship between ETRACS Quarterly etf current value and its past values and can show if there is a momentum factor associated with investing in ETRACS Quarterly Pay.
Regressed Prices |
Timeline |
Pair Trading with ETRACS Quarterly
One of the main advantages of trading using pair correlations is that every trade hedges away some risk. Because there are two separate transactions required, even if ETRACS Quarterly position performs unexpectedly, the other equity can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in ETRACS Quarterly will appreciate offsetting losses from the drop in the long position's value.Moving together with ETRACS Etf
0.63 | SSO | ProShares Ultra SP500 | PairCorr |
0.62 | SPXL | Direxion Daily SP500 | PairCorr |
0.62 | UPRO | ProShares UltraPro SP500 | PairCorr |
Moving against ETRACS Etf
0.63 | JNJ | Johnson Johnson Fiscal Year End 28th of January 2025 | PairCorr |
0.44 | LABU | Direxion Daily SP | PairCorr |
The ability to find closely correlated positions to ETRACS Quarterly could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace ETRACS Quarterly when you sell it. If you don't do this, your portfolio allocation will be skewed against your target asset allocation. So, investors can't just sell and buy back ETRACS Quarterly - that would be a violation of the tax code under the "wash sale" rule, and this is why you need to find a similar enough asset and use the proceeds from selling ETRACS Quarterly Pay to buy it.
The correlation of ETRACS Quarterly is a statistical measure of how it moves in relation to other instruments. This measure is expressed in what is known as the correlation coefficient, which ranges between -1 and +1. A perfect positive correlation (i.e., a correlation coefficient of +1) implies that as ETRACS Quarterly moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if ETRACS Quarterly Pay moves in either direction, the perfectly negatively correlated security will move in the opposite direction. If the correlation is 0, the equities are not correlated; they are entirely random. A correlation greater than 0.8 is generally described as strong, whereas a correlation less than 0.5 is generally considered weak.
Correlation analysis and pair trading evaluation for ETRACS Quarterly can also be used as hedging techniques within a particular sector or industry or even over random equities to generate a better risk-adjusted return on your portfolios.Check out ETRACS Quarterly Correlation, ETRACS Quarterly Volatility and ETRACS Quarterly Alpha and Beta module to complement your research on ETRACS Quarterly. You can also try the Portfolio Comparator module to compare the composition, asset allocations and performance of any two portfolios in your account.
ETRACS Quarterly technical etf 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, etf market cycles, or different charting patterns.