Gpow Etf Market Value
| GPOW Etf | 56.76 0.14 0.25% |
| Symbol | GPOW |
The market value of GPOW is measured differently than its book value, which is the value of GPOW that is recorded on the company's balance sheet. Investors also form their own opinion of GPOW's value that differs from its market value or its book value, called intrinsic value, which is GPOW'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 GPOW's market value can be influenced by many factors that don't directly affect GPOW'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 GPOW's value and its price as these two are different measures arrived at by different means. Investors typically determine if GPOW is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, GPOW'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.
GPOW '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 GPOW'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 GPOW.
| 12/05/2022 |
| 11/24/2024 |
If you would invest 0.00 in GPOW on December 5, 2022 and sell it all today you would earn a total of 0.00 from holding GPOW or generate 0.0% return on investment in GPOW over 720 days. GPOW is related to or competes with First Trust, Ultimus Managers, Horizon Kinetics, Harbor Health, American Beacon, First Trust, and Direxion Daily. GPOW is entity of United States. It is traded as Etf on BATS exchange. More
GPOW 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 GPOW'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 GPOW upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.6921 | |||
| Information Ratio | 0.1521 | |||
| Maximum Drawdown | 3.05 | |||
| Value At Risk | (1.04) | |||
| Potential Upside | 1.42 |
GPOW Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for GPOW's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as GPOW's standard deviation. In reality, there are many statistical measures that can use GPOW historical prices to predict the future GPOW's volatility.| Risk Adjusted Performance | 0.2422 | |||
| Jensen Alpha | 0.1803 | |||
| Total Risk Alpha | 0.1165 | |||
| Sortino Ratio | 0.1762 | |||
| Treynor Ratio | 0.4699 |
GPOW Backtested Returns
GPOW appears to be very steady, given 3 months investment horizon. GPOW holds Efficiency (Sharpe) Ratio of 0.29, which attests that the entity had a 0.29% return per unit of volatility over the last 3 months. We have found thirty technical indicators for GPOW, which you can use to evaluate the volatility of the entity. Please utilize GPOW's market risk adjusted performance of 0.4799, and Risk Adjusted Performance of 0.2422 to validate if our risk estimates are consistent with your expectations. The etf retains a Market Volatility (i.e., Beta) of 0.52, which attests to possible diversification benefits within a given portfolio. As returns on the market increase, GPOW's returns are expected to increase less than the market. However, during the bear market, the loss of holding GPOW is expected to be smaller as well.
Auto-correlation | -0.25 |
Weak reverse predictability
GPOW has weak reverse predictability. Overlapping area represents the amount of predictability between GPOW time series from 5th of December 2022 to 30th of November 2023 and 30th of November 2023 to 24th 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 GPOW price movement. The serial correlation of -0.25 indicates that over 25.0% of current GPOW price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.25 | |
| Spearman Rank Test | -0.01 | |
| Residual Average | 0.0 | |
| Price Variance | 1.61 |
GPOW lagged returns against current returns
Autocorrelation, which is GPOW 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 GPOW's etf expected returns. We can calculate the autocorrelation of GPOW returns to help us make a trade decision. For example, suppose you find that GPOW 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 |
GPOW 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 GPOW etf is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if GPOW etf is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in GPOW etf over time.
Current vs Lagged Prices |
| Timeline |
GPOW Lagged Returns
When evaluating GPOW's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of GPOW etf have on its future price. GPOW 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, GPOW autocorrelation shows the relationship between GPOW etf current value and its past values and can show if there is a momentum factor associated with investing in GPOW.
Regressed Prices |
| Timeline |
Also Currently Popular
Analyzing currently trending equities could be an opportunity to develop a better portfolio based on different market momentums that they can trigger. Utilizing the top trending stocks is also useful when creating a market-neutral strategy or pair trading technique involving a short or a long position in a currently trending equity.When determining whether GPOW is a strong investment it is important to analyze GPOW's competitive position within its industry, examining market share, product or service uniqueness, and competitive advantages. Beyond financials and market position, potential investors should also consider broader economic conditions, industry trends, and any regulatory or geopolitical factors that may impact GPOW's future performance. For an informed investment choice regarding GPOW Etf, refer to the following important reports:Check out GPOW Correlation, GPOW Volatility and GPOW Alpha and Beta module to complement your research on GPOW. You can also try the Portfolio File Import module to quickly import all of your third-party portfolios from your local drive in csv format.
GPOW 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.