Gabelli Etfs Trust Etf Market Value
| LOPP Etf | USD 29.31 0.22 0.75% |
| 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.
| 11/19/2023 |
| 12/13/2024 |
If you would invest 0.00 in Gabelli ETFs on November 19, 2023 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 390 days. Gabelli ETFs is related to or competes with Freedom Day, Franklin Templeton, IShares MSCI, Tidal Trust, IShares Dividend, Altrius Global, and Invesco Exchange. The fund seeks to achieve its objective by investing substantially all, and in any case no less than 80, of its assets i... 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 | 0.5981 | |||
| Information Ratio | 0.0593 | |||
| Maximum Drawdown | 3.37 | |||
| Value At Risk | (0.94) | |||
| Potential Upside | 1.48 |
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 | 0.1521 | |||
| Jensen Alpha | 0.0617 | |||
| Total Risk Alpha | 0.0414 | |||
| Sortino Ratio | 0.0741 | |||
| Treynor Ratio | 0.1762 |
Gabelli ETFs Trust Backtested Returns
Currently, Gabelli ETFs Trust is very steady. Gabelli ETFs Trust holds Efficiency (Sharpe) Ratio of 0.16, which attests that the entity had a 0.16% return per unit of standard deviation over the last 3 months. We have found twenty-eight 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 0.1862, and Risk Adjusted Performance of 0.1521 to validate if the risk estimate we provide is consistent with the expected return of 0.12%. The etf retains a Market Volatility (i.e., Beta) of 0.83, which attests to possible diversification benefits within a given portfolio. As returns on the market increase, Gabelli ETFs' returns are expected to increase less than the market. However, during the bear market, the loss of holding Gabelli ETFs is expected to be smaller as well.
Auto-correlation | 0.78 |
Good predictability
Gabelli ETFs Trust has good predictability. Overlapping area represents the amount of predictability between Gabelli ETFs time series from 19th of November 2023 to 1st of June 2024 and 1st of June 2024 to 13th of December 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 0.78 indicates that around 78.0% of current Gabelli ETFs price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.78 | |
| Spearman Rank Test | 0.79 | |
| Residual Average | 0.0 | |
| Price Variance | 1.28 |
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 |
Pair Trading with Gabelli ETFs
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 Gabelli ETFs 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 Gabelli ETFs will appreciate offsetting losses from the drop in the long position's value.Moving together with Gabelli Etf
| 0.99 | VO | Vanguard Mid Cap | PairCorr |
| 0.97 | VXF | Vanguard Extended Market | PairCorr |
| 0.98 | IJH | iShares Core SP | PairCorr |
| 0.98 | IWR | iShares Russell Mid | PairCorr |
| 0.98 | MDY | SPDR SP MIDCAP | PairCorr |
Moving against Gabelli Etf
| 0.72 | KO | Coca Cola Fiscal Year End 11th of February 2025 | PairCorr |
The ability to find closely correlated positions to Gabelli ETFs could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Gabelli ETFs 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 Gabelli ETFs - 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 Gabelli ETFs Trust to buy it.
The correlation of Gabelli ETFs 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 Gabelli ETFs moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Gabelli ETFs 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 Gabelli ETFs 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 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 Bollinger Bands module to use Bollinger Bands indicator to analyze target price for a given investing horizon.
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.