Whitewolf Publicly Listed Etf Market Value
| LBO Etf | 34.14 0.44 1.27% |
| Symbol | WHITEWOLF |
The market value of WHITEWOLF Publicly Listed is measured differently than its book value, which is the value of WHITEWOLF that is recorded on the company's balance sheet. Investors also form their own opinion of WHITEWOLF Publicly's value that differs from its market value or its book value, called intrinsic value, which is WHITEWOLF Publicly'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 WHITEWOLF Publicly's market value can be influenced by many factors that don't directly affect WHITEWOLF Publicly'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 WHITEWOLF Publicly's value and its price as these two are different measures arrived at by different means. Investors typically determine if WHITEWOLF Publicly is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, WHITEWOLF Publicly'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.
WHITEWOLF Publicly '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 WHITEWOLF Publicly'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 WHITEWOLF Publicly.
| 12/13/2022 |
| 12/02/2024 |
If you would invest 0.00 in WHITEWOLF Publicly on December 13, 2022 and sell it all today you would earn a total of 0.00 from holding WHITEWOLF Publicly Listed or generate 0.0% return on investment in WHITEWOLF Publicly over 720 days. WHITEWOLF Publicly is related to or competes with Ultimus Managers, American Beacon, Direxion Daily, Direxion Daily, EA Series, Global X, and ETRACS Quarterly. WHITEWOLF Publicly is entity of United States More
WHITEWOLF Publicly 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 WHITEWOLF Publicly'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 WHITEWOLF Publicly Listed upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.8307 | |||
| Information Ratio | 0.1274 | |||
| Maximum Drawdown | 6.22 | |||
| Value At Risk | (1.32) | |||
| Potential Upside | 1.6 |
WHITEWOLF Publicly Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for WHITEWOLF Publicly's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as WHITEWOLF Publicly's standard deviation. In reality, there are many statistical measures that can use WHITEWOLF Publicly historical prices to predict the future WHITEWOLF Publicly's volatility.| Risk Adjusted Performance | 0.1987 | |||
| Jensen Alpha | 0.123 | |||
| Total Risk Alpha | 0.0854 | |||
| Sortino Ratio | 0.1637 | |||
| Treynor Ratio | 0.2392 |
WHITEWOLF Publicly Listed Backtested Returns
WHITEWOLF Publicly appears to be very steady, given 3 months investment horizon. WHITEWOLF Publicly Listed shows Sharpe Ratio of 0.27, which attests that the etf had a 0.27% return per unit of standard deviation over the last 3 months. We have found twenty-seven technical indicators for WHITEWOLF Publicly Listed, which you can use to evaluate the volatility of the etf. Please utilize WHITEWOLF Publicly's Downside Deviation of 0.8307, mean deviation of 0.7955, and Risk Adjusted Performance of 0.1987 to validate if our risk estimates are consistent with your expectations. The entity maintains a market beta of 1.1, which attests to a somewhat significant risk relative to the market. WHITEWOLF Publicly returns are very sensitive to returns on the market. As the market goes up or down, WHITEWOLF Publicly is expected to follow.
Auto-correlation | 0.37 |
Below average predictability
WHITEWOLF Publicly Listed has below average predictability. Overlapping area represents the amount of predictability between WHITEWOLF Publicly time series from 13th of December 2022 to 8th of December 2023 and 8th of December 2023 to 2nd of December 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 WHITEWOLF Publicly Listed price movement. The serial correlation of 0.37 indicates that just about 37.0% of current WHITEWOLF Publicly price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.37 | |
| Spearman Rank Test | 0.64 | |
| Residual Average | 0.0 | |
| Price Variance | 0.24 |
WHITEWOLF Publicly Listed lagged returns against current returns
Autocorrelation, which is WHITEWOLF Publicly 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 WHITEWOLF Publicly's etf expected returns. We can calculate the autocorrelation of WHITEWOLF Publicly returns to help us make a trade decision. For example, suppose you find that WHITEWOLF Publicly 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 |
WHITEWOLF Publicly 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 WHITEWOLF Publicly etf is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if WHITEWOLF Publicly etf is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in WHITEWOLF Publicly etf over time.
Current vs Lagged Prices |
| Timeline |
WHITEWOLF Publicly Lagged Returns
When evaluating WHITEWOLF Publicly's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of WHITEWOLF Publicly etf have on its future price. WHITEWOLF Publicly 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, WHITEWOLF Publicly autocorrelation shows the relationship between WHITEWOLF Publicly etf current value and its past values and can show if there is a momentum factor associated with investing in WHITEWOLF Publicly Listed.
Regressed Prices |
| Timeline |
Pair Trading with WHITEWOLF Publicly
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 WHITEWOLF Publicly 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 WHITEWOLF Publicly will appreciate offsetting losses from the drop in the long position's value.Moving together with WHITEWOLF Etf
Moving against WHITEWOLF Etf
| 0.84 | ICLN | iShares Global Clean | PairCorr |
| 0.7 | TAN | Invesco Solar ETF | PairCorr |
| 0.61 | MJ | Amplify ETF Trust | PairCorr |
| 0.57 | MSOS | AdvisorShares Pure Aggressive Push | PairCorr |
The ability to find closely correlated positions to WHITEWOLF Publicly could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace WHITEWOLF Publicly 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 WHITEWOLF Publicly - 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 WHITEWOLF Publicly Listed to buy it.
The correlation of WHITEWOLF Publicly 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 WHITEWOLF Publicly moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if WHITEWOLF Publicly Listed 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 WHITEWOLF Publicly 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 WHITEWOLF Publicly Correlation, WHITEWOLF Publicly Volatility and WHITEWOLF Publicly Alpha and Beta module to complement your research on WHITEWOLF Publicly. You can also try the Bond Analysis module to evaluate and analyze corporate bonds as a potential investment for your portfolios..
WHITEWOLF Publicly 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.