Guru Favorite Stocks Etf Market Value
| GFGF Etf | USD 32.66 0.11 0.34% |
| Symbol | Guru |
The market value of Guru Favorite Stocks is measured differently than its book value, which is the value of Guru that is recorded on the company's balance sheet. Investors also form their own opinion of Guru Favorite's value that differs from its market value or its book value, called intrinsic value, which is Guru Favorite'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 Guru Favorite's market value can be influenced by many factors that don't directly affect Guru Favorite'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 Guru Favorite's value and its price as these two are different measures arrived at by different means. Investors typically determine if Guru Favorite is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Guru Favorite'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.
Guru Favorite '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 Guru Favorite'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 Guru Favorite.
| 02/28/2023 |
| 02/17/2025 |
If you would invest 0.00 in Guru Favorite on February 28, 2023 and sell it all today you would earn a total of 0.00 from holding Guru Favorite Stocks or generate 0.0% return on investment in Guru Favorite over 720 days. Guru Favorite is related to or competes with First Trust, First Trust, First Trust, First Trust, and First Trust. The funds investment strategy is to seek to grow the capital by investing in high quality companies that are favored by ... More
Guru Favorite 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 Guru Favorite'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 Guru Favorite Stocks upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.9529 | |||
| Information Ratio | 0.0137 | |||
| Maximum Drawdown | 4.0 | |||
| Value At Risk | (1.32) | |||
| Potential Upside | 1.04 |
Guru Favorite Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Guru Favorite's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Guru Favorite's standard deviation. In reality, there are many statistical measures that can use Guru Favorite historical prices to predict the future Guru Favorite's volatility.| Risk Adjusted Performance | 0.0206 | |||
| Jensen Alpha | 0.0121 | |||
| Total Risk Alpha | 0.0114 | |||
| Sortino Ratio | 0.0122 | |||
| Treynor Ratio | 0.0226 |
Guru Favorite Stocks Backtested Returns
At this point, Guru Favorite is very steady. Guru Favorite Stocks holds Efficiency (Sharpe) Ratio of 0.0611, which attests that the entity had a 0.0611 % return per unit of risk over the last 3 months. We have found twenty-eight technical indicators for Guru Favorite Stocks, which you can use to evaluate the volatility of the entity. Please check out Guru Favorite's Downside Deviation of 0.9529, market risk adjusted performance of 0.0326, and Risk Adjusted Performance of 0.0206 to validate if the risk estimate we provide is consistent with the expected return of 0.0517%. The etf retains a Market Volatility (i.e., Beta) of 0.56, which attests to possible diversification benefits within a given portfolio. As returns on the market increase, Guru Favorite's returns are expected to increase less than the market. However, during the bear market, the loss of holding Guru Favorite is expected to be smaller as well.
Auto-correlation | 0.82 |
Very good predictability
Guru Favorite Stocks has very good predictability. Overlapping area represents the amount of predictability between Guru Favorite time series from 28th of February 2023 to 23rd of February 2024 and 23rd of February 2024 to 17th of February 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 Guru Favorite Stocks price movement. The serial correlation of 0.82 indicates that around 82.0% of current Guru Favorite price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.82 | |
| Spearman Rank Test | 0.77 | |
| Residual Average | 0.0 | |
| Price Variance | 4.07 |
Guru Favorite Stocks lagged returns against current returns
Autocorrelation, which is Guru Favorite 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 Guru Favorite's etf expected returns. We can calculate the autocorrelation of Guru Favorite returns to help us make a trade decision. For example, suppose you find that Guru Favorite 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 |
Guru Favorite 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 Guru Favorite etf is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Guru Favorite etf is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Guru Favorite etf over time.
Current vs Lagged Prices |
| Timeline |
Guru Favorite Lagged Returns
When evaluating Guru Favorite's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Guru Favorite etf have on its future price. Guru Favorite 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, Guru Favorite autocorrelation shows the relationship between Guru Favorite etf current value and its past values and can show if there is a momentum factor associated with investing in Guru Favorite Stocks.
Regressed Prices |
| Timeline |
Currently Active Assets on Macroaxis
When determining whether Guru Favorite Stocks is a strong investment it is important to analyze Guru Favorite'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 Guru Favorite's future performance. For an informed investment choice regarding Guru Etf, refer to the following important reports:Check out Guru Favorite Correlation, Guru Favorite Volatility and Guru Favorite Alpha and Beta module to complement your research on Guru Favorite. You can also try the Equity Valuation module to check real value of public entities based on technical and fundamental data.
Guru Favorite 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.