Graniteshares Xout Large Etf Market Value
| XOUT Etf | USD 62.47 0.08 0.13% |
| Symbol | GraniteShares |
The market value of GraniteShares XOUT Large is measured differently than its book value, which is the value of GraniteShares that is recorded on the company's balance sheet. Investors also form their own opinion of GraniteShares XOUT's value that differs from its market value or its book value, called intrinsic value, which is GraniteShares XOUT'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 GraniteShares XOUT's market value can be influenced by many factors that don't directly affect GraniteShares XOUT'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 GraniteShares XOUT's value and its price as these two are different measures arrived at by different means. Investors typically determine if GraniteShares XOUT is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, GraniteShares XOUT'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.
GraniteShares XOUT '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 GraniteShares XOUT'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 GraniteShares XOUT.
| 04/24/2025 |
| 07/23/2025 |
If you would invest 0.00 in GraniteShares XOUT on April 24, 2025 and sell it all today you would earn a total of 0.00 from holding GraniteShares XOUT Large or generate 0.0% return on investment in GraniteShares XOUT over 90 days. GraniteShares XOUT is related to or competes with GraniteShares HIPS, SoFi Social, Invesco SP, GraniteShares Bloomberg, and Direxion Work. The fund seeks to achieve its investment objective by investing, under normal circumstances, at least 80 percent of its ... More
GraniteShares XOUT 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 GraniteShares XOUT'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 GraniteShares XOUT Large upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 1.13 | |||
| Information Ratio | 0.1174 | |||
| Maximum Drawdown | 5.79 | |||
| Value At Risk | (1.48) | |||
| Potential Upside | 2.48 |
GraniteShares XOUT Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for GraniteShares XOUT's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as GraniteShares XOUT's standard deviation. In reality, there are many statistical measures that can use GraniteShares XOUT historical prices to predict the future GraniteShares XOUT's volatility.| Risk Adjusted Performance | 0.2415 | |||
| Jensen Alpha | 0.3412 | |||
| Total Risk Alpha | 0.0846 | |||
| Sortino Ratio | 0.1258 | |||
| Treynor Ratio | (1.69) |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of GraniteShares XOUT'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.
GraniteShares XOUT Large Backtested Returns
GraniteShares XOUT appears to be very steady, given 3 months investment horizon. GraniteShares XOUT Large holds Efficiency (Sharpe) Ratio of 0.28, which attests that the entity had a 0.28 % return per unit of standard deviation over the last 3 months. We have found thirty technical indicators for GraniteShares XOUT Large, which you can use to evaluate the volatility of the entity. Please utilize GraniteShares XOUT's risk adjusted performance of 0.2415, and Market Risk Adjusted Performance of (1.68) to validate if our risk estimates are consistent with your expectations. The etf retains a Market Volatility (i.e., Beta) of -0.18, which attests to not very significant fluctuations relative to the market. As returns on the market increase, returns on owning GraniteShares XOUT are expected to decrease at a much lower rate. During the bear market, GraniteShares XOUT is likely to outperform the market.
Auto-correlation | 0.84 |
Very good predictability
GraniteShares XOUT Large has very good predictability. Overlapping area represents the amount of predictability between GraniteShares XOUT time series from 24th of April 2025 to 8th of June 2025 and 8th of June 2025 to 23rd of July 2025. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of GraniteShares XOUT Large price movement. The serial correlation of 0.84 indicates that around 84.0% of current GraniteShares XOUT price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.84 | |
| Spearman Rank Test | 0.72 | |
| Residual Average | 0.0 | |
| Price Variance | 0.9 |
GraniteShares XOUT Large lagged returns against current returns
Autocorrelation, which is GraniteShares XOUT 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 GraniteShares XOUT's etf expected returns. We can calculate the autocorrelation of GraniteShares XOUT returns to help us make a trade decision. For example, suppose you find that GraniteShares XOUT 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 |
GraniteShares XOUT 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 GraniteShares XOUT etf is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if GraniteShares XOUT etf is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in GraniteShares XOUT etf over time.
Current vs Lagged Prices |
| Timeline |
GraniteShares XOUT Lagged Returns
When evaluating GraniteShares XOUT's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of GraniteShares XOUT etf have on its future price. GraniteShares XOUT 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, GraniteShares XOUT autocorrelation shows the relationship between GraniteShares XOUT etf current value and its past values and can show if there is a momentum factor associated with investing in GraniteShares XOUT Large.
Regressed Prices |
| Timeline |
Thematic Opportunities
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Check out GraniteShares XOUT Correlation, GraniteShares XOUT Volatility and GraniteShares XOUT Alpha and Beta module to complement your research on GraniteShares XOUT. You can also try the Idea Analyzer module to analyze all characteristics, volatility and risk-adjusted return of Macroaxis ideas.
GraniteShares XOUT 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.