ETFs Physical (Mexico) Market Value
| SIVR Etf | MXN 582.00 0.00 0.00% |
| Symbol | ETFs |
ETFs Physical '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 ETFs Physical'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 ETFs Physical.
| 12/06/2022 |
| 11/25/2024 |
If you would invest 0.00 in ETFs Physical on December 6, 2022 and sell it all today you would earn a total of 0.00 from holding ETFs Physical Silver or generate 0.0% return on investment in ETFs Physical over 720 days. ETFs Physical is related to or competes with IShares Trust, Vanguard Specialized, First Trust, IShares Trust, Select Sector, and IShares Trust. The investment seeks to track the price of physical silver bullion More
ETFs Physical 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 ETFs Physical'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 ETFs Physical Silver upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | 0.0487 | |||
| Maximum Drawdown | 14.28 |
ETFs Physical Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for ETFs Physical's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as ETFs Physical's standard deviation. In reality, there are many statistical measures that can use ETFs Physical historical prices to predict the future ETFs Physical's volatility.| Risk Adjusted Performance | 0.1 | |||
| Jensen Alpha | 0.2288 | |||
| Total Risk Alpha | (0.07) | |||
| Treynor Ratio | (1.12) |
ETFs Physical Silver Backtested Returns
ETFs Physical appears to be very steady, given 3 months investment horizon. ETFs Physical Silver secures Sharpe Ratio (or Efficiency) of 0.13, which denotes the etf had a 0.13% return per unit of return volatility over the last 3 months. We have found seventeen technical indicators for ETFs Physical Silver, which you can use to evaluate the volatility of the entity. Please utilize ETFs Physical's standard deviation of 1.76, and Mean Deviation of 0.4263 to check if our risk estimates are consistent with your expectations. The etf shows a Beta (market volatility) of -0.19, which means not very significant fluctuations relative to the market. As returns on the market increase, returns on owning ETFs Physical are expected to decrease at a much lower rate. During the bear market, ETFs Physical is likely to outperform the market.
Auto-correlation | -0.53 |
Good reverse predictability
ETFs Physical Silver has good reverse predictability. Overlapping area represents the amount of predictability between ETFs Physical time series from 6th of December 2022 to 1st of December 2023 and 1st of December 2023 to 25th of November 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 ETFs Physical Silver price movement. The serial correlation of -0.53 indicates that about 53.0% of current ETFs Physical price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.53 | |
| Spearman Rank Test | -0.56 | |
| Residual Average | 0.0 | |
| Price Variance | 5528.02 |
ETFs Physical Silver lagged returns against current returns
Autocorrelation, which is ETFs Physical 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 ETFs Physical's etf expected returns. We can calculate the autocorrelation of ETFs Physical returns to help us make a trade decision. For example, suppose you find that ETFs Physical 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 |
ETFs Physical 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 ETFs Physical etf is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if ETFs Physical etf is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in ETFs Physical etf over time.
Current vs Lagged Prices |
| Timeline |
ETFs Physical Lagged Returns
When evaluating ETFs Physical's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of ETFs Physical etf have on its future price. ETFs Physical 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, ETFs Physical autocorrelation shows the relationship between ETFs Physical etf current value and its past values and can show if there is a momentum factor associated with investing in ETFs Physical Silver.
Regressed Prices |
| Timeline |
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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 ETFs Etf
ETFs Physical financial ratios help investors to determine whether ETFs Etf 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 ETFs with respect to the benefits of owning ETFs Physical security.