Zvol Etf Market Value
| ZVOL Etf | 12.74 0.55 4.51% |
| Symbol | ZVOL |
The market value of ZVOL is measured differently than its book value, which is the value of ZVOL that is recorded on the company's balance sheet. Investors also form their own opinion of ZVOL's value that differs from its market value or its book value, called intrinsic value, which is ZVOL'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 ZVOL's market value can be influenced by many factors that don't directly affect ZVOL'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 ZVOL's value and its price as these two are different measures arrived at by different means. Investors typically determine if ZVOL is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, ZVOL'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.
ZVOL '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 ZVOL'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 ZVOL.
| 05/26/2025 |
| 08/24/2025 |
If you would invest 0.00 in ZVOL on May 26, 2025 and sell it all today you would earn a total of 0.00 from holding ZVOL or generate 0.0% return on investment in ZVOL over 90 days. ZVOL is related to or competes with Freedom Day, IShares MSCI, IShares Dividend, SmartETFs Dividend, Elevation Series, Martin Currie, and Global X. ZVOL is entity of United States. It is traded as Etf on BATS exchange. More
ZVOL 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 ZVOL'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 ZVOL upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 1.02 | |||
| Information Ratio | (0.05) | |||
| Maximum Drawdown | 6.05 | |||
| Value At Risk | (1.83) | |||
| Potential Upside | 2.05 |
ZVOL Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for ZVOL's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as ZVOL's standard deviation. In reality, there are many statistical measures that can use ZVOL historical prices to predict the future ZVOL's volatility.| Risk Adjusted Performance | 0.0256 | |||
| Jensen Alpha | (0.08) | |||
| Total Risk Alpha | (0.13) | |||
| Sortino Ratio | (0.07) | |||
| Treynor Ratio | 0.0224 |
ZVOL Backtested Returns
As of now, ZVOL Etf is very steady. ZVOL shows Sharpe Ratio of 0.0603, which attests that the etf had a 0.0603 % return per unit of standard deviation over the last 3 months. We have found thirty technical indicators for ZVOL, which you can use to evaluate the volatility of the etf. Please check out ZVOL's Downside Deviation of 1.02, mean deviation of 0.8664, and Risk Adjusted Performance of 0.0256 to validate if the risk estimate we provide is consistent with the expected return of 0.0654%. The entity maintains a market beta of 1.18, 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, ZVOL will likely underperform.
Auto-correlation | 0.27 |
Poor predictability
ZVOL has poor predictability. Overlapping area represents the amount of predictability between ZVOL time series from 26th of May 2025 to 10th of July 2025 and 10th of July 2025 to 24th of August 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 ZVOL price movement. The serial correlation of 0.27 indicates that nearly 27.0% of current ZVOL price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.27 | |
| Spearman Rank Test | 0.01 | |
| Residual Average | 0.0 | |
| Price Variance | 0.01 |
ZVOL lagged returns against current returns
Autocorrelation, which is ZVOL 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 ZVOL's etf expected returns. We can calculate the autocorrelation of ZVOL returns to help us make a trade decision. For example, suppose you find that ZVOL 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 |
ZVOL 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 ZVOL etf is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if ZVOL etf is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in ZVOL etf over time.
Current vs Lagged Prices |
| Timeline |
ZVOL Lagged Returns
When evaluating ZVOL's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of ZVOL etf have on its future price. ZVOL 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, ZVOL autocorrelation shows the relationship between ZVOL etf current value and its past values and can show if there is a momentum factor associated with investing in ZVOL.
Regressed Prices |
| Timeline |
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ZVOL 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.