Graniteshares Yieldboost Amd Etf Market Value
| AMYY Etf | 21.14 0.06 0.28% |
| Symbol | GraniteShares |
The market value of GraniteShares YieldBOOST 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 YieldBOOST's value that differs from its market value or its book value, called intrinsic value, which is GraniteShares YieldBOOST'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 YieldBOOST's market value can be influenced by many factors that don't directly affect GraniteShares YieldBOOST'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 YieldBOOST's value and its price as these two are different measures arrived at by different means. Investors typically determine if GraniteShares YieldBOOST is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, GraniteShares YieldBOOST'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 YieldBOOST '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 YieldBOOST'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 YieldBOOST.
| 10/27/2025 |
| 01/25/2026 |
If you would invest 0.00 in GraniteShares YieldBOOST on October 27, 2025 and sell it all today you would earn a total of 0.00 from holding GraniteShares YieldBOOST AMD or generate 0.0% return on investment in GraniteShares YieldBOOST over 90 days. GraniteShares YieldBOOST is related to or competes with Invesco Exchange, SPDR Galaxy, First Trust, Matthews China, Litman Gregory, SPDR MSCI, and USCF ETF. More
GraniteShares YieldBOOST 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 YieldBOOST'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 YieldBOOST AMD upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 2.36 | |||
| Information Ratio | 0.0076 | |||
| Maximum Drawdown | 10.51 | |||
| Value At Risk | (2.52) | |||
| Potential Upside | 2.41 |
GraniteShares YieldBOOST Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for GraniteShares YieldBOOST's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as GraniteShares YieldBOOST's standard deviation. In reality, there are many statistical measures that can use GraniteShares YieldBOOST historical prices to predict the future GraniteShares YieldBOOST's volatility.| Risk Adjusted Performance | 0.0408 | |||
| Jensen Alpha | 0.0798 | |||
| Total Risk Alpha | (0.10) | |||
| Sortino Ratio | 0.0064 | |||
| Treynor Ratio | 1.54 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of GraniteShares YieldBOOST'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 YieldBOOST January 25, 2026 Technical Indicators
| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
| Risk Adjusted Performance | 0.0408 | |||
| Market Risk Adjusted Performance | 1.55 | |||
| Mean Deviation | 1.3 | |||
| Semi Deviation | 2.19 | |||
| Downside Deviation | 2.36 | |||
| Coefficient Of Variation | 2121.57 | |||
| Standard Deviation | 1.98 | |||
| Variance | 3.94 | |||
| Information Ratio | 0.0076 | |||
| Jensen Alpha | 0.0798 | |||
| Total Risk Alpha | (0.10) | |||
| Sortino Ratio | 0.0064 | |||
| Treynor Ratio | 1.54 | |||
| Maximum Drawdown | 10.51 | |||
| Value At Risk | (2.52) | |||
| Potential Upside | 2.41 | |||
| Downside Variance | 5.59 | |||
| Semi Variance | 4.8 | |||
| Expected Short fall | (1.15) | |||
| Skewness | 0.1458 | |||
| Kurtosis | 4.8 |
GraniteShares YieldBOOST Backtested Returns
At this stage we consider GraniteShares Etf to be very steady. GraniteShares YieldBOOST holds Efficiency (Sharpe) Ratio of 0.0471, which attests that the entity had a 0.0471 % return per unit of standard deviation over the last 3 months. We have found thirty technical indicators for GraniteShares YieldBOOST, which you can use to evaluate the volatility of the entity. Please check out GraniteShares YieldBOOST's market risk adjusted performance of 1.55, and Risk Adjusted Performance of 0.0408 to validate if the risk estimate we provide is consistent with the expected return of 0.0935%. The etf retains a Market Volatility (i.e., Beta) of 0.0542, which attests to not very significant fluctuations relative to the market. As returns on the market increase, GraniteShares YieldBOOST's returns are expected to increase less than the market. However, during the bear market, the loss of holding GraniteShares YieldBOOST is expected to be smaller as well.
Auto-correlation | -0.18 |
Insignificant reverse predictability
GraniteShares YieldBOOST AMD has insignificant reverse predictability. Overlapping area represents the amount of predictability between GraniteShares YieldBOOST time series from 27th of October 2025 to 11th of December 2025 and 11th of December 2025 to 25th of January 2026. 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 YieldBOOST price movement. The serial correlation of -0.18 indicates that over 18.0% of current GraniteShares YieldBOOST price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.18 | |
| Spearman Rank Test | -0.27 | |
| Residual Average | 0.0 | |
| Price Variance | 0.45 |
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 GraniteShares YieldBOOST offers a strong return on investment in its stock, a comprehensive analysis is essential. The process typically begins with a thorough review of GraniteShares YieldBOOST's 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 Yieldboost Amd Etf. Outlined below are crucial reports that will aid in making a well-informed decision on Graniteshares Yieldboost Amd Etf:Check out GraniteShares YieldBOOST Correlation, GraniteShares YieldBOOST Volatility and GraniteShares YieldBOOST Alpha and Beta module to complement your research on GraniteShares YieldBOOST. You can also try the Latest Portfolios module to quick portfolio dashboard that showcases your latest portfolios.
GraniteShares YieldBOOST 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.