Yieldmax Hood Option Etf Market Value
| HOOY Etf | 50.85 0.35 0.69% |
| Symbol | YieldMax |
The market value of YieldMax HOOD Option is measured differently than its book value, which is the value of YieldMax that is recorded on the company's balance sheet. Investors also form their own opinion of YieldMax HOOD's value that differs from its market value or its book value, called intrinsic value, which is YieldMax HOOD'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 YieldMax HOOD's market value can be influenced by many factors that don't directly affect YieldMax HOOD'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 YieldMax HOOD's value and its price as these two are different measures arrived at by different means. Investors typically determine if YieldMax HOOD is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, YieldMax HOOD'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.
YieldMax HOOD '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 YieldMax HOOD'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 YieldMax HOOD.
| 11/25/2025 |
| 12/25/2025 |
If you would invest 0.00 in YieldMax HOOD on November 25, 2025 and sell it all today you would earn a total of 0.00 from holding YieldMax HOOD Option or generate 0.0% return on investment in YieldMax HOOD over 30 days. YieldMax HOOD is related to or competes with 2023 EFT, Aptus Large, Calamos ETF, FT Cboe, First Trust, Federated Hermes, and Innovator Nasdaq. YieldMax HOOD is entity of United States More
YieldMax HOOD 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 YieldMax HOOD'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 YieldMax HOOD Option upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.03) | |||
| Maximum Drawdown | 18.76 | |||
| Value At Risk | (8.09) | |||
| Potential Upside | 4.69 |
YieldMax HOOD Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for YieldMax HOOD's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as YieldMax HOOD's standard deviation. In reality, there are many statistical measures that can use YieldMax HOOD historical prices to predict the future YieldMax HOOD's volatility.| Risk Adjusted Performance | 3.0E-4 | |||
| Jensen Alpha | (0.20) | |||
| Total Risk Alpha | (0.36) | |||
| Treynor Ratio | (0.02) |
YieldMax HOOD Option Backtested Returns
YieldMax HOOD Option shows Sharpe Ratio of close to zero, which attests that the etf had a close to zero % return per unit of risk over the last 3 months. YieldMax HOOD Option exposes twenty-three different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please check out YieldMax HOOD's Market Risk Adjusted Performance of (0.01), standard deviation of 3.76, and Mean Deviation of 2.86 to validate the risk estimate we provide. The entity maintains a market beta of 2.53, which attests to a somewhat significant risk relative to the market. As the market goes up, the company is expected to outperform it. However, if the market returns are negative, YieldMax HOOD will likely underperform.
Auto-correlation | -0.44 |
Modest reverse predictability
YieldMax HOOD Option has modest reverse predictability. Overlapping area represents the amount of predictability between YieldMax HOOD time series from 25th of November 2025 to 10th of December 2025 and 10th of December 2025 to 25th of December 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 YieldMax HOOD Option price movement. The serial correlation of -0.44 indicates that just about 44.0% of current YieldMax HOOD price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.44 | |
| Spearman Rank Test | 0.13 | |
| Residual Average | 0.0 | |
| Price Variance | 3.89 |
YieldMax HOOD Option lagged returns against current returns
Autocorrelation, which is YieldMax HOOD 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 YieldMax HOOD's etf expected returns. We can calculate the autocorrelation of YieldMax HOOD returns to help us make a trade decision. For example, suppose you find that YieldMax HOOD 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 |
YieldMax HOOD 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 YieldMax HOOD etf is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if YieldMax HOOD etf is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in YieldMax HOOD etf over time.
Current vs Lagged Prices |
| Timeline |
YieldMax HOOD Lagged Returns
When evaluating YieldMax HOOD's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of YieldMax HOOD etf have on its future price. YieldMax HOOD 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, YieldMax HOOD autocorrelation shows the relationship between YieldMax HOOD etf current value and its past values and can show if there is a momentum factor associated with investing in YieldMax HOOD Option.
Regressed Prices |
| Timeline |
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 YieldMax HOOD Option offers a strong return on investment in its stock, a comprehensive analysis is essential. The process typically begins with a thorough review of YieldMax HOOD'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 Yieldmax Hood Option Etf. Outlined below are crucial reports that will aid in making a well-informed decision on Yieldmax Hood Option Etf:Check out YieldMax HOOD Correlation, YieldMax HOOD Volatility and YieldMax HOOD Alpha and Beta module to complement your research on YieldMax HOOD. You can also try the Share Portfolio module to track or share privately all of your investments from the convenience of any device.
YieldMax HOOD 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.