Symmetry Panoramic Global Fund Market Value
| SPGEX Fund | USD 13.39 0.08 0.60% |
| Symbol | Symmetry |
Symmetry Panoramic '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 Symmetry Panoramic's mutual fund 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 Symmetry Panoramic.
| 03/24/2024 |
| 04/23/2024 |
If you would invest 0.00 in Symmetry Panoramic on March 24, 2024 and sell it all today you would earn a total of 0.00 from holding Symmetry Panoramic Global or generate 0.0% return on investment in Symmetry Panoramic over 30 days. Symmetry Panoramic is related to or competes with Vanguard 500, Cohen, Invesco Floating, Vanguard Equity, Fidelity Freedom, Gabelli Equity, and Fidelity 500. Under normal circumstances, the fund will invest, directly or indirectly, at least 80 percent of its net assets in equit... More
Symmetry Panoramic 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 Symmetry Panoramic's mutual fund 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 Symmetry Panoramic Global upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.877 | |||
| Information Ratio | 0.0106 | |||
| Maximum Drawdown | 3.76 | |||
| Value At Risk | (1.22) | |||
| Potential Upside | 1.08 |
Symmetry Panoramic Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Symmetry Panoramic's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Symmetry Panoramic's standard deviation. In reality, there are many statistical measures that can use Symmetry Panoramic historical prices to predict the future Symmetry Panoramic's volatility.| Risk Adjusted Performance | 0.0826 | |||
| Jensen Alpha | 0.0132 | |||
| Total Risk Alpha | (0) | |||
| Sortino Ratio | 0.0084 | |||
| Treynor Ratio | 0.0897 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Symmetry Panoramic'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.
Symmetry Panoramic Global Backtested Returns
We consider Symmetry Panoramic very steady. Symmetry Panoramic Global owns Efficiency Ratio (i.e., Sharpe Ratio) of 0.0885, which indicates the fund had a 0.0885% return per unit of risk over the last 3 months. We have found twenty-seven technical indicators for Symmetry Panoramic Global, which you can use to evaluate the volatility of the fund. Please validate Symmetry Panoramic's Semi Deviation of 0.5976, risk adjusted performance of 0.0826, and Coefficient Of Variation of 751.83 to confirm if the risk estimate we provide is consistent with the expected return of 0.0617%. The entity has a beta of 0.92, which indicates possible diversification benefits within a given portfolio. Symmetry Panoramic returns are very sensitive to returns on the market. As the market goes up or down, Symmetry Panoramic is expected to follow.
Auto-correlation | 0.38 |
Below average predictability
Symmetry Panoramic Global has below average predictability. Overlapping area represents the amount of predictability between Symmetry Panoramic time series from 24th of March 2024 to 8th of April 2024 and 8th of April 2024 to 23rd of April 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 Symmetry Panoramic Global price movement. The serial correlation of 0.38 indicates that just about 38.0% of current Symmetry Panoramic price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.38 | |
| Spearman Rank Test | 0.25 | |
| Residual Average | 0.0 | |
| Price Variance | 0.06 |
Symmetry Panoramic Global lagged returns against current returns
Autocorrelation, which is Symmetry Panoramic mutual fund'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 Symmetry Panoramic's mutual fund expected returns. We can calculate the autocorrelation of Symmetry Panoramic returns to help us make a trade decision. For example, suppose you find that Symmetry Panoramic has exhibited high autocorrelation historically, and you observe that the mutual fund 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 |
Symmetry Panoramic 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 Symmetry Panoramic mutual fund is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Symmetry Panoramic mutual fund is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Symmetry Panoramic mutual fund over time.
Current vs Lagged Prices |
| Timeline |
Symmetry Panoramic Lagged Returns
When evaluating Symmetry Panoramic's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Symmetry Panoramic mutual fund have on its future price. Symmetry Panoramic 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, Symmetry Panoramic autocorrelation shows the relationship between Symmetry Panoramic mutual fund current value and its past values and can show if there is a momentum factor associated with investing in Symmetry Panoramic Global.
Regressed Prices |
| Timeline |
Currently Active Assets on Macroaxis
Check out Symmetry Panoramic Correlation, Symmetry Panoramic Volatility and Symmetry Panoramic Alpha and Beta module to complement your research on Symmetry Panoramic. Note that the Symmetry Panoramic Global information on this page should be used as a complementary analysis to other Symmetry Panoramic's statistical models used to find the right mix of equity instruments to add to your existing portfolios or create a brand new portfolio. You can also try the Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.
Symmetry Panoramic technical mutual fund 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, fund market cycles, or different charting patterns.