Graniteshares 1x Short Etf Market Value
| CONI Etf | 10.42 0.46 4.62% |
| Symbol | GraniteShares |
The market value of GraniteShares 1x Short 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' value that differs from its market value or its book value, called intrinsic value, which is GraniteShares' 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' market value can be influenced by many factors that don't directly affect GraniteShares' 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' value and its price as these two are different measures arrived at by different means. Investors typically determine if GraniteShares is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, GraniteShares' 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 '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' 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.
| 06/08/2023 |
| 11/29/2024 |
If you would invest 0.00 in GraniteShares on June 8, 2023 and sell it all today you would earn a total of 0.00 from holding GraniteShares 1x Short or generate 0.0% return on investment in GraniteShares over 540 days. GraniteShares is related to or competes with Tidal Trust, Direxion Daily, Direxion Daily, Tidal Trust, Direxion Daily, GraniteShares, and Tidal Trust. GraniteShares is entity of United States More
GraniteShares 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' 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 1x Short upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.21) | |||
| Maximum Drawdown | 45.9 | |||
| Value At Risk | (9.67) | |||
| Potential Upside | 7.6 |
GraniteShares Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for GraniteShares' investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as GraniteShares' standard deviation. In reality, there are many statistical measures that can use GraniteShares historical prices to predict the future GraniteShares' volatility.| Risk Adjusted Performance | (0.14) | |||
| Jensen Alpha | (0.76) | |||
| Total Risk Alpha | (2.34) | |||
| Treynor Ratio | 0.274 |
GraniteShares 1x Short Backtested Returns
GraniteShares 1x Short holds Efficiency (Sharpe) Ratio of -0.18, which attests that the entity had a -0.18% return per unit of standard deviation over the last 3 months. GraniteShares 1x Short exposes twenty-three different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please check out GraniteShares' market risk adjusted performance of 0.284, and Risk Adjusted Performance of (0.14) to validate the risk estimate we provide. The etf retains a Market Volatility (i.e., Beta) of -4.8, which attests to a somewhat significant risk relative to the market. As returns on the market increase, returns on owning GraniteShares are expected to decrease by larger amounts. On the other hand, during market turmoil, GraniteShares is expected to outperform it.
Auto-correlation | 0.00 |
No correlation between past and present
GraniteShares 1x Short has no correlation between past and present. Overlapping area represents the amount of predictability between GraniteShares time series from 8th of June 2023 to 4th of March 2024 and 4th of March 2024 to 29th 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 GraniteShares 1x Short price movement. The serial correlation of 0.0 indicates that just 0.0% of current GraniteShares price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.0 | |
| Spearman Rank Test | 0.0 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
GraniteShares 1x Short lagged returns against current returns
Autocorrelation, which is GraniteShares 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' etf expected returns. We can calculate the autocorrelation of GraniteShares returns to help us make a trade decision. For example, suppose you find that GraniteShares 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 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 etf is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if GraniteShares etf is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in GraniteShares etf over time.
Current vs Lagged Prices |
| Timeline |
GraniteShares Lagged Returns
When evaluating GraniteShares' market value, investors can use the concept of autocorrelation to see how much of an impact past prices of GraniteShares etf have on its future price. GraniteShares 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 autocorrelation shows the relationship between GraniteShares etf current value and its past values and can show if there is a momentum factor associated with investing in GraniteShares 1x Short.
Regressed Prices |
| Timeline |
Currently Active Assets on Macroaxis
When determining whether GraniteShares 1x Short offers a strong return on investment in its stock, a comprehensive analysis is essential. The process typically begins with a thorough review of GraniteShares' financial statements, including income statements, balance sheets, and cash flow statements, to assess its financial health. Key financial ratios are used to gauge profitability, efficiency, and growth potential of Graniteshares 1x Short Etf. Outlined below are crucial reports that will aid in making a well-informed decision on Graniteshares 1x Short Etf:Check out GraniteShares Correlation, GraniteShares Volatility and GraniteShares Alpha and Beta module to complement your research on GraniteShares. You can also try the Portfolio Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.
GraniteShares 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.