Point Bridge Gop Etf Market Value
| MAGA Etf | USD 44.04 0.74 1.65% |
| Symbol | Point |
The market value of Point Bridge GOP is measured differently than its book value, which is the value of Point that is recorded on the company's balance sheet. Investors also form their own opinion of Point Bridge's value that differs from its market value or its book value, called intrinsic value, which is Point Bridge'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 Point Bridge's market value can be influenced by many factors that don't directly affect Point Bridge'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 Point Bridge's value and its price as these two are different measures arrived at by different means. Investors typically determine if Point Bridge is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Point Bridge'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.
Point Bridge '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 Point Bridge'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 Point Bridge.
| 04/01/2024 |
| 05/01/2024 |
If you would invest 0.00 in Point Bridge on April 1, 2024 and sell it all today you would earn a total of 0.00 from holding Point Bridge GOP or generate 0.0% return on investment in Point Bridge over 30 days. Point Bridge is related to or competes with ETF Opportunities, EA Series, HUMANA, Barloworld, Morningstar Unconstrained, Thrivent High, and High Yield. Under normal circumstances, at least 80 percent of the funds net assets will be invested in the securities of U.S More
Point Bridge 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 Point Bridge'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 Point Bridge GOP upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.8071 | |||
| Information Ratio | 0.0348 | |||
| Maximum Drawdown | 3.03 | |||
| Value At Risk | (1.38) | |||
| Potential Upside | 0.9804 |
Point Bridge Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Point Bridge's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Point Bridge's standard deviation. In reality, there are many statistical measures that can use Point Bridge historical prices to predict the future Point Bridge's volatility.| Risk Adjusted Performance | 0.077 | |||
| Jensen Alpha | 0.0226 | |||
| Total Risk Alpha | 0.0194 | |||
| Sortino Ratio | 0.0306 | |||
| Treynor Ratio | 0.0711 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Point Bridge's 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.
Point Bridge GOP Backtested Returns
We consider Point Bridge very steady. Point Bridge GOP maintains Sharpe Ratio (i.e., Efficiency) of 0.11, which implies the entity had a 0.11% return per unit of risk over the last 3 months. We have found thirty technical indicators for Point Bridge GOP, which you can use to evaluate the volatility of the etf. Please check Point Bridge's Risk Adjusted Performance of 0.077, semi deviation of 0.6891, and Coefficient Of Variation of 843.44 to confirm if the risk estimate we provide is consistent with the expected return of 0.079%. The etf holds a Beta of 1.04, which implies a somewhat significant risk relative to the market. Point Bridge returns are very sensitive to returns on the market. As the market goes up or down, Point Bridge is expected to follow.
Auto-correlation | -0.23 |
Weak reverse predictability
Point Bridge GOP has weak reverse predictability. Overlapping area represents the amount of predictability between Point Bridge time series from 1st of April 2024 to 16th of April 2024 and 16th of April 2024 to 1st of May 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 Point Bridge GOP price movement. The serial correlation of -0.23 indicates that over 23.0% of current Point Bridge price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.23 | |
| Spearman Rank Test | -0.75 | |
| Residual Average | 0.0 | |
| Price Variance | 0.18 |
Point Bridge GOP lagged returns against current returns
Autocorrelation, which is Point Bridge 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 Point Bridge's etf expected returns. We can calculate the autocorrelation of Point Bridge returns to help us make a trade decision. For example, suppose you find that Point Bridge 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 |
Point Bridge 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 Point Bridge etf is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Point Bridge etf is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Point Bridge etf over time.
Current vs Lagged Prices |
| Timeline |
Point Bridge Lagged Returns
When evaluating Point Bridge's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Point Bridge etf have on its future price. Point Bridge 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, Point Bridge autocorrelation shows the relationship between Point Bridge etf current value and its past values and can show if there is a momentum factor associated with investing in Point Bridge GOP.
Regressed Prices |
| Timeline |
Some investors attempt to determine whether the market's mood is bullish or bearish by monitoring changes in market sentiment. Unlike more traditional methods such as technical analysis, investor sentiment usually refers to the aggregate attitude towards Point Bridge in the overall investment community. So, suppose investors can accurately measure the market's sentiment. In that case, they can use it for their benefit. For example, some tools to gauge market sentiment could be utilized using contrarian indexes, Point Bridge's short interest history, or implied volatility extrapolated from Point Bridge options trading.
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Point Bridge 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.