Precious Metals And Fund Market Value
| USAGX Fund | USD 18.34 0.06 0.33% |
| Symbol | Precious |
Precious Metals '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 Precious Metals' 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 Precious Metals.
| 03/20/2024 |
| 04/19/2024 |
If you would invest 0.00 in Precious Metals on March 20, 2024 and sell it all today you would earn a total of 0.00 from holding Precious Metals And or generate 0.0% return on investment in Precious Metals over 30 days. Precious Metals is related to or competes with Income Fund, Usaa Nasdaq, Victory Diversified, Intermediate Term, Usaa Intermediate, Usaa Tax, and Victory Tax. The fund normally invests at least 80 percent of its assets in equity securities of domestic and foreign companies princ... More
Precious Metals 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 Precious Metals' 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 Precious Metals And upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 1.6 | |||
| Information Ratio | 0.1155 | |||
| Maximum Drawdown | 7.54 | |||
| Value At Risk | (2.59) | |||
| Potential Upside | 2.9 |
Precious Metals Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Precious Metals' investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Precious Metals' standard deviation. In reality, there are many statistical measures that can use Precious Metals historical prices to predict the future Precious Metals' volatility.| Risk Adjusted Performance | 0.103 | |||
| Jensen Alpha | 0.1727 | |||
| Total Risk Alpha | 0.0933 | |||
| Sortino Ratio | 0.1207 | |||
| Treynor Ratio | 0.1858 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Precious Metals' 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.
Precious Metals And Backtested Returns
Precious Metals appears to be very steady, given 3 months investment horizon. Precious Metals And maintains Sharpe Ratio (i.e., Efficiency) of 0.2, which implies the entity had a 0.2% return per unit of risk over the last 3 months. We have found twenty-eight technical indicators for Precious Metals And, which you can use to evaluate the volatility of the fund. Please evaluate Precious Metals' Coefficient Of Variation of 639.17, risk adjusted performance of 0.103, and Semi Deviation of 1.34 to confirm if our risk estimates are consistent with your expectations. The fund holds a Beta of 1.36, which implies a somewhat significant risk relative to the market. As the market goes up, the company is expected to outperform it. However, if the market returns are negative, Precious Metals will likely underperform.
Auto-correlation | -0.09 |
Very weak reverse predictability
Precious Metals And has very weak reverse predictability. Overlapping area represents the amount of predictability between Precious Metals time series from 20th of March 2024 to 4th of April 2024 and 4th of April 2024 to 19th 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 Precious Metals And price movement. The serial correlation of -0.09 indicates that less than 9.0% of current Precious Metals price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.09 | |
| Spearman Rank Test | -0.04 | |
| Residual Average | 0.0 | |
| Price Variance | 0.04 |
Precious Metals And lagged returns against current returns
Autocorrelation, which is Precious Metals 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 Precious Metals' mutual fund expected returns. We can calculate the autocorrelation of Precious Metals returns to help us make a trade decision. For example, suppose you find that Precious Metals 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 |
Precious Metals 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 Precious Metals mutual fund is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Precious Metals mutual fund is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Precious Metals mutual fund over time.
Current vs Lagged Prices |
| Timeline |
Precious Metals Lagged Returns
When evaluating Precious Metals' market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Precious Metals mutual fund have on its future price. Precious Metals 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, Precious Metals autocorrelation shows the relationship between Precious Metals mutual fund current value and its past values and can show if there is a momentum factor associated with investing in Precious Metals And.
Regressed Prices |
| Timeline |
Also Currently Popular
Analyzing currently trending equities could be an opportunity to develop a better portfolio based on different market momentums that they can trigger. Utilizing the top trending stocks is also useful when creating a market-neutral strategy or pair trading technique involving a short or a long position in a currently trending equity.Check out Precious Metals Correlation, Precious Metals Volatility and Precious Metals Alpha and Beta module to complement your research on Precious Metals. Note that the Precious Metals And information on this page should be used as a complementary analysis to other Precious Metals' 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 Pattern Recognition module to use different Pattern Recognition models to time the market across multiple global exchanges.
Precious Metals 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.