Graniteshares 2x Long Etf Market Value
| MULL Etf | 21.52 1.23 5.41% |
| Symbol | GraniteShares |
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.
| 10/28/2024 |
| 11/27/2024 |
If you would invest 0.00 in GraniteShares on October 28, 2024 and sell it all today you would earn a total of 0.00 from holding GraniteShares 2x Long or generate 0.0% return on investment in GraniteShares over 30 days.
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 2x Long upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.12) | |||
| Maximum Drawdown | 9.61 | |||
| Value At Risk | (7.97) | |||
| Potential Upside | 9.15 |
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 | (0.06) | |||
| Jensen Alpha | (0.49) | |||
| Total Risk Alpha | (1.19) | |||
| Treynor Ratio | (1.12) |
GraniteShares 2x Long Backtested Returns
GraniteShares 2x Long holds Efficiency (Sharpe) Ratio of -0.0871, which attests that the entity had a -0.0871% return per unit of standard deviation over the last 3 months. GraniteShares 2x Long exposes twenty-three different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please check out GraniteShares' risk adjusted performance of (0.06), and Market Risk Adjusted Performance of (1.11) to validate the risk estimate we provide. The etf retains a Market Volatility (i.e., Beta) of 0.4, which attests to possible diversification benefits within a given portfolio. As returns on the market increase, GraniteShares' returns are expected to increase less than the market. However, during the bear market, the loss of holding GraniteShares is expected to be smaller as well.
Auto-correlation | 0.00 |
No correlation between past and present
GraniteShares 2x Long has no correlation between past and present. Overlapping area represents the amount of predictability between GraniteShares time series from 28th of October 2024 to 12th of November 2024 and 12th of November 2024 to 27th 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 2x Long 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 2x Long 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 2x Long.
Regressed Prices |
| Timeline |
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