Gabelli Etfs Trust Etf Market Value

GAST Etf  USD 28.84  0.14  0.48%   
Gabelli ETFs' market value is the price at which a share of Gabelli ETFs trades on a public exchange. It measures the collective expectations of Gabelli ETFs Trust investors about its performance. Gabelli ETFs is selling for under 28.84 as of the 28th of November 2024; that is 0.48 percent down since the beginning of the trading day. The etf's last reported lowest price was 28.84.
With this module, you can estimate the performance of a buy and hold strategy of Gabelli ETFs Trust and determine expected loss or profit from investing in Gabelli ETFs over a given investment horizon. Check out Gabelli ETFs Correlation, Gabelli ETFs Volatility and Gabelli ETFs Alpha and Beta module to complement your research on Gabelli ETFs.
Symbol

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.
0.00
10/29/2024
No Change 0.00  0.0 
In 31 days
11/28/2024
0.00
If you would invest  0.00  in Gabelli ETFs on October 29, 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 30 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 will primarily invest in U.S. exchange-listed common stock and preferred stock 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.

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.
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Gabelli ETFs' 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.
Hype
Prediction
LowEstimatedHigh
27.7628.8129.86
Details
Intrinsic
Valuation
LowRealHigh
27.3128.3629.41
Details
Naive
Forecast
LowNextHigh
27.7428.7929.85
Details
Bollinger
Band Projection (param)
LowerMiddle BandUpper
27.2828.2529.22
Details

Gabelli ETFs Trust Backtested Returns

Currently, Gabelli ETFs Trust is very steady. Gabelli ETFs Trust holds Efficiency (Sharpe) Ratio of 0.15, which attests that the entity had a 0.15% return per unit of standard deviation over the last 3 months. We have found twenty-seven 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 0.8555, and Risk Adjusted Performance of 0.1285 to validate if the risk estimate we provide is consistent with the expected return of 0.16%. The etf retains a Market Volatility (i.e., Beta) of 0.19, which attests to not very significant fluctuations relative to the market. 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

    
  0.96  

Excellent predictability

Gabelli ETFs Trust has excellent predictability. Overlapping area represents the amount of predictability between Gabelli ETFs time series from 29th of October 2024 to 13th of November 2024 and 13th of November 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 0.96 indicates that 96.0% of current Gabelli ETFs price fluctuation can be explain by its past prices.
Correlation Coefficient0.96
Spearman Rank Test0.6
Residual Average0.0
Price Variance0.28

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  

Thematic Opportunities

Explore Investment Opportunities

Build portfolios using Macroaxis predefined set of investing ideas. Many of Macroaxis investing ideas can easily outperform a given market. Ideas can also be optimized per your risk profile before portfolio origination is invoked. Macroaxis thematic optimization helps investors identify companies most likely to benefit from changes or shifts in various micro-economic or local macro-level trends. Originating optimal thematic portfolios involves aligning investors' personal views, ideas, and beliefs with their actual investments.
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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 Content Syndication module to quickly integrate customizable finance content to your own investment portal.
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.
A focus of Gabelli ETFs technical analysis is to determine if market prices reflect all relevant information impacting that market. A technical analyst looks at the history of Gabelli ETFs trading pattern rather than external drivers such as economic, fundamental, or social events. It is believed that price action tends to repeat itself due to investors' collective, patterned behavior. Hence technical analysis focuses on identifiable price trends and conditions. More Info...