Precious Metals Fund Market Value
| RYZCX Fund | USD 29.73 0.15 0.51% |
| 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.
| 06/05/2024 |
| 12/02/2024 |
If you would invest 0.00 in Precious Metals on June 5, 2024 and sell it all today you would earn a total of 0.00 from holding Precious Metals Fund or generate 0.0% return on investment in Precious Metals over 180 days. Precious Metals is related to or competes with Lord Abbett, Western Asset, Fidelity Sai, Blackrock Inflation, Ab Bond, and Inflation-protected. Under normal circumstances, the fund invests substantially all of its net assets in equity securities of Precious Metals... 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 Fund upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 2.0 | |||
| Information Ratio | (0.07) | |||
| Maximum Drawdown | 11.37 | |||
| Value At Risk | (2.99) | |||
| Potential Upside | 3.32 |
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 | 0.008 | |||
| Jensen Alpha | (0.04) | |||
| Total Risk Alpha | (0.34) | |||
| Sortino Ratio | (0.07) | |||
| Treynor Ratio | (0.02) |
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 Backtested Returns
At this stage we consider Precious Mutual Fund to be very steady. Precious Metals maintains Sharpe Ratio (i.e., Efficiency) of 0.0321, which implies the entity had a 0.0321% return per unit of risk over the last 3 months. We have found twenty-seven technical indicators for Precious Metals, which you can use to evaluate the volatility of the fund. Please check Precious Metals' Coefficient Of Variation of 43893.88, semi deviation of 1.97, and Risk Adjusted Performance of 0.008 to confirm if the risk estimate we provide is consistent with the expected return of 0.0636%. The fund holds a Beta of 0.3, which implies not very significant fluctuations relative to the market. As returns on the market increase, Precious Metals' returns are expected to increase less than the market. However, during the bear market, the loss of holding Precious Metals is expected to be smaller as well.
Auto-correlation | -0.11 |
Insignificant reverse predictability
Precious Metals Fund has insignificant reverse predictability. Overlapping area represents the amount of predictability between Precious Metals time series from 5th of June 2024 to 3rd of September 2024 and 3rd of September 2024 to 2nd of December 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 price movement. The serial correlation of -0.11 indicates that less than 11.0% of current Precious Metals price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.11 | |
| Spearman Rank Test | -0.06 | |
| Residual Average | 0.0 | |
| Price Variance | 2.69 |
Precious Metals 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 Fund.
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.Other Information on Investing in Precious Mutual Fund
Precious Metals financial ratios help investors to determine whether Precious Mutual Fund is cheap or expensive when compared to a particular measure, such as profits or enterprise value. In other words, they help investors to determine the cost of investment in Precious with respect to the benefits of owning Precious Metals security.
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