Precious Metals And Fund Market Value

UPMMX Fund  USD 20.34  0.54  2.59%   
Precious Metals' market value is the price at which a share of Precious Metals trades on a public exchange. It measures the collective expectations of Precious Metals And investors about its performance. Precious Metals is trading at 20.34 as of the 14th of December 2024; that is 2.59 percent down since the beginning of the trading day. The fund's open price was 20.88.
With this module, you can estimate the performance of a buy and hold strategy of Precious Metals And and determine expected loss or profit from investing in Precious Metals over a given investment horizon. Check out Precious Metals Correlation, Precious Metals Volatility and Precious Metals Alpha and Beta module to complement your research on Precious Metals.
Symbol

Please note, there is a significant difference between Precious Metals' value and its price as these two are different measures arrived at by different means. Investors typically determine if Precious Metals is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Precious Metals' 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.

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.
0.00
11/14/2024
No Change 0.00  0.0 
In 31 days
12/14/2024
0.00
If you would invest  0.00  in Precious Metals on November 14, 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 Emerging Markets, International Fund, Capital Growth, High Income, and Science Technology. 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.

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.
Hype
Prediction
LowEstimatedHigh
18.6220.3422.06
Details
Intrinsic
Valuation
LowRealHigh
16.7918.5122.37
Details
Naive
Forecast
LowNextHigh
18.2219.9421.67
Details
Bollinger
Band Projection (param)
LowerMiddle BandUpper
19.1220.3521.58
Details

Precious Metals And Backtested Returns

Precious Metals And maintains Sharpe Ratio (i.e., Efficiency) of -0.0347, which implies the entity had a -0.0347% return per unit of risk over the last 3 months. Precious Metals And exposes twenty-seven different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please check Precious Metals' Risk Adjusted Performance of 0.0209, semi deviation of 1.78, and Coefficient Of Variation of 4866.83 to confirm the risk estimate we provide. The fund holds a Beta of 0.29, 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

    
  0.18  

Very weak predictability

Precious Metals And has very weak predictability. Overlapping area represents the amount of predictability between Precious Metals time series from 14th of November 2024 to 29th of November 2024 and 29th of November 2024 to 14th 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 And price movement. The serial correlation of 0.18 indicates that over 18.0% of current Precious Metals price fluctuation can be explain by its past prices.
Correlation Coefficient0.18
Spearman Rank Test0.61
Residual Average0.0
Price Variance0.05

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.

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.
Content Syndication
Quickly integrate customizable finance content to your own investment portal
Companies Directory
Evaluate performance of over 100,000 Stocks, Funds, and ETFs against different fundamentals