Gabelli Etfs Trust Etf Market Value
| GCAD Etf | 35.74 0.26 0.72% |
| Symbol | Gabelli |
The market value of Gabelli ETFs Trust is measured differently than its book value, which is the value of Gabelli that is recorded on the company's balance sheet. Investors also form their own opinion of Gabelli ETFs' value that differs from its market value or its book value, called intrinsic value, which is Gabelli ETFs' 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 Gabelli ETFs' market value can be influenced by many factors that don't directly affect Gabelli ETFs' 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 Gabelli ETFs' value and its price as these two are different measures arrived at by different means. Investors typically determine if Gabelli ETFs is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Gabelli ETFs' 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.
Gabelli ETFs '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 Gabelli ETFs' 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 Gabelli ETFs.
| 08/30/2024 |
| 11/28/2024 |
If you would invest 0.00 in Gabelli ETFs on August 30, 2024 and sell it all today you would earn a total of 0.00 from holding Gabelli ETFs Trust or generate 0.0% return on investment in Gabelli ETFs over 90 days. Gabelli ETFs is related to or competes with First Trust, Ultimus Managers, Horizon Kinetics, Harbor Health, American Beacon, First Trust, and Direxion Daily. More
Gabelli ETFs 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 Gabelli ETFs' 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 Gabelli ETFs Trust upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 1.12 | |||
| Information Ratio | (0.04) | |||
| Maximum Drawdown | 6.97 | |||
| Value At Risk | (1.81) | |||
| Potential Upside | 1.67 |
Gabelli ETFs Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Gabelli ETFs' investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Gabelli ETFs' standard deviation. In reality, there are many statistical measures that can use Gabelli ETFs historical prices to predict the future Gabelli ETFs' volatility.| Risk Adjusted Performance | 0.0547 | |||
| Jensen Alpha | (0.06) | |||
| Total Risk Alpha | (0.10) | |||
| Sortino Ratio | (0.04) | |||
| Treynor Ratio | 0.058 |
Gabelli ETFs Trust Backtested Returns
At this point, Gabelli ETFs is very steady. Gabelli ETFs Trust holds Efficiency (Sharpe) Ratio of 0.0672, which attests that the entity had a 0.0672% return per unit of standard deviation over the last 3 months. We have found twenty-nine technical indicators for Gabelli ETFs Trust, which you can use to evaluate the volatility of the entity. Please check out Gabelli ETFs' market risk adjusted performance of 0.068, and Risk Adjusted Performance of 0.0547 to validate if the risk estimate we provide is consistent with the expected return of 0.0751%. The etf retains a Market Volatility (i.e., Beta) of 1.12, which attests to a somewhat significant risk relative to the market. Gabelli ETFs returns are very sensitive to returns on the market. As the market goes up or down, Gabelli ETFs is expected to follow.
Auto-correlation | 0.42 |
Average predictability
Gabelli ETFs Trust has average predictability. Overlapping area represents the amount of predictability between Gabelli ETFs time series from 30th of August 2024 to 14th of October 2024 and 14th of October 2024 to 28th 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 Gabelli ETFs Trust price movement. The serial correlation of 0.42 indicates that just about 42.0% of current Gabelli ETFs price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.42 | |
| Spearman Rank Test | 0.25 | |
| Residual Average | 0.0 | |
| Price Variance | 0.75 |
Gabelli ETFs Trust lagged returns against current returns
Autocorrelation, which is Gabelli ETFs 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 Gabelli ETFs' etf expected returns. We can calculate the autocorrelation of Gabelli ETFs returns to help us make a trade decision. For example, suppose you find that Gabelli ETFs 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 |
Gabelli ETFs 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 Gabelli ETFs etf is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Gabelli ETFs etf is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Gabelli ETFs etf over time.
Current vs Lagged Prices |
| Timeline |
Gabelli ETFs Lagged Returns
When evaluating Gabelli ETFs' market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Gabelli ETFs etf have on its future price. Gabelli ETFs 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, Gabelli ETFs autocorrelation shows the relationship between Gabelli ETFs etf current value and its past values and can show if there is a momentum factor associated with investing in Gabelli ETFs Trust.
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 Gabelli ETFs Trust is a good investment, qualitative aspects like company management, corporate governance, and ethical practices play a significant role. A comparison with peer companies also provides context and helps to understand if Gabelli Etf is undervalued or overvalued. This multi-faceted approach, blending both quantitative and qualitative analysis, forms a solid foundation for making an informed investment decision about Gabelli Etfs Trust Etf. Highlighted below are key reports to facilitate an investment decision about Gabelli Etfs Trust Etf:Check out Gabelli ETFs Correlation, Gabelli ETFs Volatility and Gabelli ETFs Alpha and Beta module to complement your research on Gabelli ETFs. You can also try the Portfolio Analyzer module to portfolio analysis module that provides access to portfolio diagnostics and optimization engine.
Gabelli ETFs 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.