Graniteshares Yieldboost Rgti Etf Alpha and Beta Analysis
| RGYY Etf | 21.01 0.39 1.82% |
This module allows you to check different measures of market premium (i.e., alpha and beta) for all equities such as GraniteShares YieldBoost RGTI. It also helps investors analyze the systematic and unsystematic risks associated with investing in GraniteShares YieldBoost over a specified time horizon. Remember, high GraniteShares YieldBoost's alpha is almost always a sign of good performance; however, a high beta will depend on investors' risk tolerance level and may signal increased volatility and potential future overvaluation. Key technical indicators related to GraniteShares YieldBoost's market risk premium analysis include:
Beta 0.7 | Alpha (0.31) | Risk 2.47 | Sharpe Ratio (0.10) | Expected Return (0.25) |
Alpha is a measure of relative performance on a risk-adjusted basis, while beta measures volatility against the benchmark. The goal is to know if an investor is being compensated for the volatility risk taken. The return on investment might be better than its reference but still not compensate for the assumption of the risk.
GraniteShares | Build AI portfolio with GraniteShares Etf |
GraniteShares YieldBoost Market Premiums
Investors always prefer to have the highest possible return on investment, coupled with the lowest possible volatility. GraniteShares YieldBoost market risk premium is the additional return an investor will receive from holding GraniteShares YieldBoost long position in a well-diversified portfolio. The market premium is part of the Capital Asset Pricing Model (CAPM), which most analysts and investors use to calculate the acceptable rate of return on investment in GraniteShares YieldBoost. At the center of the CAPM is the concept of risk and reward, which is usually communicated by investors using alpha and beta measures. Alpha and beta are two of the key measurements used to evaluate GraniteShares YieldBoost's performance over market.| α | -0.31 | β | 0.70 |
GraniteShares YieldBoost expected buy-and-hold returns
Although buy-and-hold investment strategy may not appeal to all investors, it may be used as a good measure of GraniteShares YieldBoost's Buy-and-hold return. Our buy-and-hold chart shows how GraniteShares YieldBoost performed over your current time horizon against a typical interest-earning bank account and a selected benchmark.GraniteShares YieldBoost Market Price Analysis
Market price analysis indicators help investors to evaluate how GraniteShares YieldBoost etf reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading GraniteShares YieldBoost shares will generate the highest return on investment. By understating and applying GraniteShares YieldBoost etf market price indicators, traders can identify GraniteShares YieldBoost position entry and exit signals to maximize returns.
GraniteShares YieldBoost Return and Market Media
The median price of GraniteShares YieldBoost for the period between Thu, Sep 25, 2025 and Wed, Dec 24, 2025 is 21.18 with a coefficient of variation of 3.06. The daily time series for the period is distributed with a sample standard deviation of 0.65, arithmetic mean of 21.21, and mean deviation of 0.55. The Etf received substential amount of media coverage during this period. Price Growth (%) |
| Timeline |
1 | GraniteShares Expands YieldBOOST Lineup with Two New ETFs on Quantum Computing Leaders RGYY and QBYY - ETFGI | 11/25/2025 |
2 | Rigetti Computing Stock Today, November 26, 2025 Price, News, Analyst Outlook ETF Frenzy - ts2.tech | 11/26/2025 |
3 | Rigetti Computings Turbulent Path Risk or Reward - timothysykes.com | 12/03/2025 |
4 | GraniteShares YieldBOOST RGTI ETF declares 0.0601 dividend | 12/04/2025 |
5 | GraniteShares Announces the Launch of Two New YieldBOOST Fund-of-Funds ETFs - markets.businessinsider.com | 12/16/2025 |
About GraniteShares YieldBoost Beta and Alpha
For many years both, Alpha and Beta indicators are used by professional money managers as critical performance measurement tools across virtually all financial instruments including GraniteShares or other etfs. Alpha measures the amount that position in GraniteShares YieldBoost has returned in comparison to a selected market index or another relevant benchmark. In other words, Alpha is the excess return on an investment relative to the performance of your selected benchmark. Beta, on the other hand, measures the relative risk of your investment.
Some investors attempt to determine whether the market's mood is bullish or bearish by monitoring changes in market sentiment. Unlike more traditional methods such as technical analysis, investor sentiment usually refers to the aggregate attitude towards GraniteShares YieldBoost in the overall investment community. So, suppose investors can accurately measure the market's sentiment. In that case, they can use it for their benefit. For example, some tools to gauge market sentiment could be utilized using contrarian indexes, GraniteShares YieldBoost's short interest history, or implied volatility extrapolated from GraniteShares YieldBoost options trading.
Build Portfolio with GraniteShares YieldBoost
Your optimized portfolios are the building block of your wealth. We provide an intuitive interface to determine which securities in a portfolio should be removed or rebalanced to achieve better diversification, find the right mix of securities that minimizes portfolio risk for a given return, or maximize portfolio expected return for a given risk level.Build Diversified Portfolios
Align your risk with return expectations
Check out GraniteShares YieldBoost Backtesting, Portfolio Optimization, GraniteShares YieldBoost Correlation, GraniteShares YieldBoost Hype Analysis, GraniteShares YieldBoost Volatility, GraniteShares YieldBoost History and analyze GraniteShares YieldBoost Performance. You can also try the Idea Breakdown module to analyze constituents of all Macroaxis ideas. Macroaxis investment ideas are predefined, sector-focused investing themes.
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.