Zacks Trust Etf Market Value
| ZECP Etf | USD 32.25 0.11 0.34% |
| Symbol | Zacks |
The market value of Zacks Trust is measured differently than its book value, which is the value of Zacks that is recorded on the company's balance sheet. Investors also form their own opinion of Zacks Trust's value that differs from its market value or its book value, called intrinsic value, which is Zacks Trust'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 Zacks Trust's market value can be influenced by many factors that don't directly affect Zacks Trust'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 Zacks Trust's value and its price as these two are different measures arrived at by different means. Investors typically determine if Zacks Trust is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Zacks Trust'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.
Zacks Trust '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 Zacks Trust'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 Zacks Trust.
| 06/03/2024 |
| 11/30/2024 |
If you would invest 0.00 in Zacks Trust on June 3, 2024 and sell it all today you would earn a total of 0.00 from holding Zacks Trust or generate 0.0% return on investment in Zacks Trust over 180 days. Zacks Trust is related to or competes with First Trust, First Trust, First Trust, Innovator Equity, and Innovator Equity. The advisor pursues the funds investment objective by constructing a portfolio of companies that exhibit a track record ... More
Zacks Trust 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 Zacks Trust'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 Zacks Trust upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.6371 | |||
| Information Ratio | (0.05) | |||
| Maximum Drawdown | 3.37 | |||
| Value At Risk | (1.04) | |||
| Potential Upside | 0.9147 |
Zacks Trust Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Zacks Trust's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Zacks Trust's standard deviation. In reality, there are many statistical measures that can use Zacks Trust historical prices to predict the future Zacks Trust's volatility.| Risk Adjusted Performance | 0.1268 | |||
| Jensen Alpha | 0.0018 | |||
| Total Risk Alpha | (0.01) | |||
| Sortino Ratio | (0.05) | |||
| Treynor Ratio | 0.1301 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Zacks Trust'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.
Zacks Trust Backtested Returns
Currently, Zacks Trust is very steady. Zacks Trust shows Sharpe Ratio of 0.18, which attests that the etf had a 0.18% return per unit of risk over the last 3 months. We have found thirty technical indicators for Zacks Trust, which you can use to evaluate the volatility of the etf. Please check out Zacks Trust's Downside Deviation of 0.6371, market risk adjusted performance of 0.1401, and Mean Deviation of 0.4778 to validate if the risk estimate we provide is consistent with the expected return of 0.11%. The entity maintains a market beta of 0.73, which attests to possible diversification benefits within a given portfolio. As returns on the market increase, Zacks Trust's returns are expected to increase less than the market. However, during the bear market, the loss of holding Zacks Trust is expected to be smaller as well.
Auto-correlation | 0.82 |
Very good predictability
Zacks Trust has very good predictability. Overlapping area represents the amount of predictability between Zacks Trust time series from 3rd of June 2024 to 1st of September 2024 and 1st of September 2024 to 30th 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 Zacks Trust price movement. The serial correlation of 0.82 indicates that around 82.0% of current Zacks Trust price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.82 | |
| Spearman Rank Test | 0.64 | |
| Residual Average | 0.0 | |
| Price Variance | 0.35 |
Zacks Trust lagged returns against current returns
Autocorrelation, which is Zacks Trust 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 Zacks Trust's etf expected returns. We can calculate the autocorrelation of Zacks Trust returns to help us make a trade decision. For example, suppose you find that Zacks Trust 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 |
Zacks Trust 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 Zacks Trust etf is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Zacks Trust etf is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Zacks Trust etf over time.
Current vs Lagged Prices |
| Timeline |
Zacks Trust Lagged Returns
When evaluating Zacks Trust's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Zacks Trust etf have on its future price. Zacks Trust 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, Zacks Trust autocorrelation shows the relationship between Zacks Trust etf current value and its past values and can show if there is a momentum factor associated with investing in Zacks Trust .
Regressed Prices |
| Timeline |
Pair Trading with Zacks Trust
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 Zacks Trust 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 Zacks Trust will appreciate offsetting losses from the drop in the long position's value.Moving together with Zacks Etf
| 0.96 | VTI | Vanguard Total Stock | PairCorr |
| 0.95 | SPY | SPDR SP 500 Aggressive Push | PairCorr |
| 0.95 | IVV | iShares Core SP | PairCorr |
| 0.97 | VIG | Vanguard Dividend | PairCorr |
| 0.96 | VV | Vanguard Large Cap | PairCorr |
The ability to find closely correlated positions to Zacks Trust could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Zacks Trust 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 Zacks Trust - 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 Zacks Trust to buy it.
The correlation of Zacks Trust 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 Zacks Trust moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Zacks Trust 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 Zacks Trust 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 Zacks Trust Correlation, Zacks Trust Volatility and Zacks Trust Alpha and Beta module to complement your research on Zacks Trust. You can also try the Bond Analysis module to evaluate and analyze corporate bonds as a potential investment for your portfolios..
Zacks Trust 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.