Yieldmax N Option Etf Market Value
| CONY Etf | 16.23 0.74 4.36% |
| Symbol | YieldMax |
The market value of YieldMax N 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 N's value that differs from its market value or its book value, called intrinsic value, which is YieldMax N'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 N's market value can be influenced by many factors that don't directly affect YieldMax N'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 N's value and its price as these two are different measures arrived at by different means. Investors typically determine if YieldMax N is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, YieldMax N'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 N '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 N'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 N.
| 05/07/2023 |
| 11/27/2024 |
If you would invest 0.00 in YieldMax N on May 7, 2023 and sell it all today you would earn a total of 0.00 from holding YieldMax N Option or generate 0.0% return on investment in YieldMax N over 570 days. YieldMax N is related to or competes with Tidal Trust, First Trust, Direxion Daily, Direxion Daily, MFUT, VanEck Morningstar, and VictoryShares WestEnd. YieldMax N is entity of United States. It is traded as Etf on NYSE ARCA exchange. More
YieldMax N 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 N'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 N Option upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 4.25 | |||
| Information Ratio | 0.0857 | |||
| Maximum Drawdown | 31.46 | |||
| Value At Risk | (6.75) | |||
| Potential Upside | 7.2 |
YieldMax N Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for YieldMax N's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as YieldMax N's standard deviation. In reality, there are many statistical measures that can use YieldMax N historical prices to predict the future YieldMax N's volatility.| Risk Adjusted Performance | 0.0933 | |||
| Jensen Alpha | 0.0645 | |||
| Total Risk Alpha | (0.24) | |||
| Sortino Ratio | 0.1024 | |||
| Treynor Ratio | 0.1342 |
YieldMax N Option Backtested Returns
YieldMax N appears to be somewhat reliable, given 3 months investment horizon. YieldMax N Option shows Sharpe Ratio of 0.13, which attests that the etf had a 0.13% return per unit of risk over the last 3 months. By examining YieldMax N's technical indicators, you can evaluate if the expected return of 0.65% is justified by implied risk. Please utilize YieldMax N's Market Risk Adjusted Performance of 0.1442, mean deviation of 3.46, and Downside Deviation of 4.25 to validate if our risk estimates are consistent with your expectations. The entity maintains a market beta of 4.13, 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 N will likely underperform.
Auto-correlation | 0.12 |
Insignificant predictability
YieldMax N Option has insignificant predictability. Overlapping area represents the amount of predictability between YieldMax N time series from 7th of May 2023 to 16th of February 2024 and 16th of February 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 YieldMax N Option price movement. The serial correlation of 0.12 indicates that less than 12.0% of current YieldMax N price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.12 | |
| Spearman Rank Test | -0.03 | |
| Residual Average | 0.0 | |
| Price Variance | 1.29 |
YieldMax N Option lagged returns against current returns
Autocorrelation, which is YieldMax N 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 N's etf expected returns. We can calculate the autocorrelation of YieldMax N returns to help us make a trade decision. For example, suppose you find that YieldMax N 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 N 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 N etf is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if YieldMax N etf is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in YieldMax N etf over time.
Current vs Lagged Prices |
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YieldMax N Lagged Returns
When evaluating YieldMax N's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of YieldMax N etf have on its future price. YieldMax N 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 N autocorrelation shows the relationship between YieldMax N etf current value and its past values and can show if there is a momentum factor associated with investing in YieldMax N 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 N 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 N'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 N Option Etf. Outlined below are crucial reports that will aid in making a well-informed decision on Yieldmax N Option Etf:Check out YieldMax N Correlation, YieldMax N Volatility and YieldMax N Alpha and Beta module to complement your research on YieldMax N. You can also try the Aroon Oscillator module to analyze current equity momentum using Aroon Oscillator and other momentum ratios.
YieldMax N 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.