Gabelli Financial Services Etf Market Value
| GABF Etf | USD 43.14 1.32 3.16% |
| Symbol | Gabelli |
The market value of Gabelli Financial 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 Financial's value that differs from its market value or its book value, called intrinsic value, which is Gabelli Financial'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 Gabelli Financial's market value can be influenced by many factors that don't directly affect Gabelli Financial'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 Gabelli Financial's value and its price as these two are different measures arrived at by different means. Investors typically determine if Gabelli Financial is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Gabelli Financial'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.
Gabelli Financial '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 Financial'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 Gabelli Financial.
| 12/15/2024 |
| 03/15/2025 |
If you would invest 0.00 in Gabelli Financial on December 15, 2024 and sell it all today you would earn a total of 0.00 from holding Gabelli Financial Services or generate 0.0% return on investment in Gabelli Financial over 90 days. Gabelli Financial is related to or competes with Gabelli ETFs, Goldman Sachs, Goldman Sachs, and IShares Blockchain. Under normal market conditions, the fund invests at least 80 percent of the value of its net assets, in the securities o... More
Gabelli Financial 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 Financial'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 Gabelli Financial Services upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.01) | |||
| Maximum Drawdown | 6.63 | |||
| Value At Risk | (2.56) | |||
| Potential Upside | 1.3 |
Gabelli Financial Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Gabelli Financial's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Gabelli Financial's standard deviation. In reality, there are many statistical measures that can use Gabelli Financial historical prices to predict the future Gabelli Financial's volatility.| Risk Adjusted Performance | (0.07) | |||
| Jensen Alpha | (0.02) | |||
| Total Risk Alpha | 0.0516 | |||
| Treynor Ratio | (0.13) |
Gabelli Financial Backtested Returns
Gabelli Financial holds Efficiency (Sharpe) Ratio of -0.0805, which attests that the entity had a -0.0805 % return per unit of standard deviation over the last 3 months. Gabelli Financial exposes twenty-three different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please check out Gabelli Financial's market risk adjusted performance of (0.12), and Risk Adjusted Performance of (0.07) to validate the risk estimate we provide. The etf retains a Market Volatility (i.e., Beta) of 0.91, which attests to possible diversification benefits within a given portfolio. Gabelli Financial returns are very sensitive to returns on the market. As the market goes up or down, Gabelli Financial is expected to follow.
Auto-correlation | -0.67 |
Very good reverse predictability
Gabelli Financial Services has very good reverse predictability. Overlapping area represents the amount of predictability between Gabelli Financial time series from 15th of December 2024 to 29th of January 2025 and 29th of January 2025 to 15th of March 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 Gabelli Financial price movement. The serial correlation of -0.67 indicates that around 67.0% of current Gabelli Financial price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.67 | |
| Spearman Rank Test | -0.38 | |
| Residual Average | 0.0 | |
| Price Variance | 3.1 |
Gabelli Financial lagged returns against current returns
Autocorrelation, which is Gabelli Financial 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 Financial's etf expected returns. We can calculate the autocorrelation of Gabelli Financial returns to help us make a trade decision. For example, suppose you find that Gabelli Financial 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 Financial 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 Financial etf is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Gabelli Financial etf is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Gabelli Financial etf over time.
Current vs Lagged Prices |
| Timeline |
Gabelli Financial Lagged Returns
When evaluating Gabelli Financial's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Gabelli Financial etf have on its future price. Gabelli Financial 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 Financial autocorrelation shows the relationship between Gabelli Financial etf current value and its past values and can show if there is a momentum factor associated with investing in Gabelli Financial Services.
Regressed Prices |
| Timeline |
Currently Active Assets on Macroaxis
When determining whether Gabelli Financial is a strong investment it is important to analyze Gabelli Financial'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 Gabelli Financial's future performance. For an informed investment choice regarding Gabelli Etf, refer to the following important reports:Check out Gabelli Financial Correlation, Gabelli Financial Volatility and Gabelli Financial Alpha and Beta module to complement your research on Gabelli Financial. You can also try the Sectors module to list of equity sectors categorizing publicly traded companies based on their primary business activities.
Gabelli Financial 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.