Zega Buy And Etf Market Value
| ZHDG Etf | USD 21.39 0.17 0.80% |
| Symbol | ZEGA |
The market value of ZEGA Buy is measured differently than its book value, which is the value of ZEGA that is recorded on the company's balance sheet. Investors also form their own opinion of ZEGA Buy's value that differs from its market value or its book value, called intrinsic value, which is ZEGA Buy'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 ZEGA Buy's market value can be influenced by many factors that don't directly affect ZEGA Buy'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 ZEGA Buy's value and its price as these two are different measures arrived at by different means. Investors typically determine if ZEGA Buy is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, ZEGA Buy'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.
ZEGA Buy '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 ZEGA Buy'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 ZEGA Buy.
| 10/31/2024 |
| 11/30/2024 |
If you would invest 0.00 in ZEGA Buy on October 31, 2024 and sell it all today you would earn a total of 0.00 from holding ZEGA Buy and or generate 0.0% return on investment in ZEGA Buy over 30 days. ZEGA Buy is related to or competes with Acruence Active, Innovator Equity, Innovator Growth, and AdvisorShares STAR. The fund invests in a combination of options, as well as fixed income securities, or other income producing securities, ... More
ZEGA Buy 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 ZEGA Buy'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 ZEGA Buy and upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.7596 | |||
| Information Ratio | (0.04) | |||
| Maximum Drawdown | 3.38 | |||
| Value At Risk | (1.17) | |||
| Potential Upside | 1.03 |
ZEGA Buy Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for ZEGA Buy's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as ZEGA Buy's standard deviation. In reality, there are many statistical measures that can use ZEGA Buy historical prices to predict the future ZEGA Buy's volatility.| Risk Adjusted Performance | 0.1256 | |||
| Jensen Alpha | 0.0127 | |||
| Total Risk Alpha | (0.01) | |||
| Sortino Ratio | (0.04) | |||
| Treynor Ratio | 0.1462 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of ZEGA Buy'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.
ZEGA Buy Backtested Returns
At this point, ZEGA Buy is very steady. ZEGA Buy shows Sharpe Ratio of 0.21, which attests that the etf had a 0.21% return per unit of standard deviation over the last 3 months. We have found twenty-eight technical indicators for ZEGA Buy, which you can use to evaluate the volatility of the etf. Please check out ZEGA Buy's Downside Deviation of 0.7596, risk adjusted performance of 0.1256, and Mean Deviation of 0.4572 to validate if the risk estimate we provide is consistent with the expected return of 0.13%. The entity maintains a market beta of 0.68, which attests to possible diversification benefits within a given portfolio. As returns on the market increase, ZEGA Buy's returns are expected to increase less than the market. However, during the bear market, the loss of holding ZEGA Buy is expected to be smaller as well.
Auto-correlation | 0.90 |
Excellent predictability
ZEGA Buy and has excellent predictability. Overlapping area represents the amount of predictability between ZEGA Buy time series from 31st of October 2024 to 15th of November 2024 and 15th of November 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 ZEGA Buy price movement. The serial correlation of 0.9 indicates that approximately 90.0% of current ZEGA Buy price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.9 | |
| Spearman Rank Test | 0.79 | |
| Residual Average | 0.0 | |
| Price Variance | 0.04 |
ZEGA Buy lagged returns against current returns
Autocorrelation, which is ZEGA Buy 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 ZEGA Buy's etf expected returns. We can calculate the autocorrelation of ZEGA Buy returns to help us make a trade decision. For example, suppose you find that ZEGA Buy 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 |
ZEGA Buy 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 ZEGA Buy etf is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if ZEGA Buy etf is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in ZEGA Buy etf over time.
Current vs Lagged Prices |
| Timeline |
ZEGA Buy Lagged Returns
When evaluating ZEGA Buy's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of ZEGA Buy etf have on its future price. ZEGA Buy 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, ZEGA Buy autocorrelation shows the relationship between ZEGA Buy etf current value and its past values and can show if there is a momentum factor associated with investing in ZEGA Buy and.
Regressed Prices |
| Timeline |
Currently Active Assets on Macroaxis
When determining whether ZEGA Buy is a strong investment it is important to analyze ZEGA Buy's competitive position within its industry, examining market share, product or service uniqueness, and competitive advantages. Beyond financials and market position, potential investors should also consider broader economic conditions, industry trends, and any regulatory or geopolitical factors that may impact ZEGA Buy's future performance. For an informed investment choice regarding ZEGA Etf, refer to the following important reports:Check out ZEGA Buy Correlation, ZEGA Buy Volatility and ZEGA Buy Alpha and Beta module to complement your research on ZEGA Buy. You can also try the Economic Indicators module to top statistical indicators that provide insights into how an economy is performing.
ZEGA Buy 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.