Fm High Yield Etf Market Value
| ZTOP Etf | 52.26 0.02 0.04% |
| Symbol | ZTOP |
The market value of Fm High Yield is measured differently than its book value, which is the value of ZTOP that is recorded on the company's balance sheet. Investors also form their own opinion of Fm High's value that differs from its market value or its book value, called intrinsic value, which is Fm High'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 Fm High's market value can be influenced by many factors that don't directly affect Fm High'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 Fm High's value and its price as these two are different measures arrived at by different means. Investors typically determine if Fm High is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Fm High'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.
Fm High '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 Fm High'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 Fm High.
| 11/27/2025 |
| 12/27/2025 |
If you would invest 0.00 in Fm High on November 27, 2025 and sell it all today you would earn a total of 0.00 from holding Fm High Yield or generate 0.0% return on investment in Fm High over 30 days. Fm High is related to or competes with Thornburg Core, Invesco BulletShares, Xtrackers, Innovator ETFs, First Trust, Franklin Templeton, and WisdomTree Corporate. Fm High is entity of United States. It is traded as Etf on NASDAQ exchange. More
Fm High 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 Fm High'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 Fm High Yield upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.2188 | |||
| Information Ratio | (0.33) | |||
| Maximum Drawdown | 0.8569 | |||
| Value At Risk | (0.31) | |||
| Potential Upside | 0.3307 |
Fm High Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Fm High's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Fm High's standard deviation. In reality, there are many statistical measures that can use Fm High historical prices to predict the future Fm High's volatility.| Risk Adjusted Performance | 0.0346 | |||
| Jensen Alpha | 0.008 | |||
| Total Risk Alpha | (0.01) | |||
| Sortino Ratio | (0.29) | |||
| Treynor Ratio | (0.38) |
Fm High Yield Backtested Returns
Currently, Fm High Yield is very steady. Fm High Yield retains Efficiency (Sharpe Ratio) of 0.089, which denotes the etf had a 0.089 % return per unit of price deviation over the last 3 months. We have found twenty-seven technical indicators for Fm High, which you can use to evaluate the volatility of the entity. Please confirm Fm High's Market Risk Adjusted Performance of (0.37), standard deviation of 0.195, and Downside Deviation of 0.2188 to check if the risk estimate we provide is consistent with the expected return of 0.0173%. The etf owns a Beta (Systematic Risk) of -0.0177, which means not very significant fluctuations relative to the market. As returns on the market increase, returns on owning Fm High are expected to decrease at a much lower rate. During the bear market, Fm High is likely to outperform the market.
Auto-correlation | 0.30 |
Below average predictability
Fm High Yield has below average predictability. Overlapping area represents the amount of predictability between Fm High time series from 27th of November 2025 to 12th of December 2025 and 12th of December 2025 to 27th 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 Fm High Yield price movement. The serial correlation of 0.3 indicates that nearly 30.0% of current Fm High price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.3 | |
| Spearman Rank Test | 0.42 | |
| Residual Average | 0.0 | |
| Price Variance | 0.01 |
Fm High Yield lagged returns against current returns
Autocorrelation, which is Fm High 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 Fm High's etf expected returns. We can calculate the autocorrelation of Fm High returns to help us make a trade decision. For example, suppose you find that Fm High 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 |
Fm High 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 Fm High etf is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Fm High etf is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Fm High etf over time.
Current vs Lagged Prices |
| Timeline |
Fm High Lagged Returns
When evaluating Fm High's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Fm High etf have on its future price. Fm High 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, Fm High autocorrelation shows the relationship between Fm High etf current value and its past values and can show if there is a momentum factor associated with investing in Fm High Yield.
Regressed Prices |
| Timeline |
Pair Trading with Fm High
One of the main advantages of trading using pair correlations is that every trade hedges away some risk. Because there are two separate transactions required, even if Fm High position performs unexpectedly, the other equity can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in Fm High will appreciate offsetting losses from the drop in the long position's value.Moving together with ZTOP Etf
| 0.92 | HYG | iShares iBoxx High Sell-off Trend | PairCorr |
| 0.92 | USHY | iShares Broad USD Sell-off Trend | PairCorr |
| 0.92 | JNK | SPDR Bloomberg High Sell-off Trend | PairCorr |
| 0.92 | SHYG | iShares 0 5 | PairCorr |
| 0.92 | HYLB | Xtrackers USD High | PairCorr |
The ability to find closely correlated positions to Fm High could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Fm High when you sell it. If you don't do this, your portfolio allocation will be skewed against your target asset allocation. So, investors can't just sell and buy back Fm High - that would be a violation of the tax code under the "wash sale" rule, and this is why you need to find a similar enough asset and use the proceeds from selling Fm High Yield to buy it.
The correlation of Fm High is a statistical measure of how it moves in relation to other instruments. This measure is expressed in what is known as the correlation coefficient, which ranges between -1 and +1. A perfect positive correlation (i.e., a correlation coefficient of +1) implies that as Fm High moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Fm High Yield moves in either direction, the perfectly negatively correlated security will move in the opposite direction. If the correlation is 0, the equities are not correlated; they are entirely random. A correlation greater than 0.8 is generally described as strong, whereas a correlation less than 0.5 is generally considered weak.
Correlation analysis and pair trading evaluation for Fm High can also be used as hedging techniques within a particular sector or industry or even over random equities to generate a better risk-adjusted return on your portfolios.Check out Fm High Correlation, Fm High Volatility and Fm High Alpha and Beta module to complement your research on Fm High. You can also try the Aroon Oscillator module to analyze current equity momentum using Aroon Oscillator and other momentum ratios.
Fm High 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.