Etfs Commodity Securities Etf Market Value
| ECYAF Etf | USD 6.37 0.00 0.00% |
| Symbol | ETFS |
Please note, there is a significant difference between ETFS Commodity's value and its price as these two are different measures arrived at by different means. Investors typically determine if ETFS Commodity is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, ETFS Commodity's 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.
ETFS Commodity '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 Commodity's otc 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 Commodity.
| 03/04/2024 |
| 06/02/2024 |
If you would invest 0.00 in ETFS Commodity on March 4, 2024 and sell it all today you would earn a total of 0.00 from holding ETFS Commodity Securities or generate 0.0% return on investment in ETFS Commodity over 90 days. ETFS Commodity is related to or competes with Vanguard Total, SPDR SP, IShares Core, Vanguard Total, Vanguard Value, Vanguard Growth, and Vanguard Mid. More
ETFS Commodity 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 Commodity's otc 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 Commodity Securities upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.09) | |||
| Maximum Drawdown | 4.21 |
ETFS Commodity Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for ETFS Commodity's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as ETFS Commodity's standard deviation. In reality, there are many statistical measures that can use ETFS Commodity historical prices to predict the future ETFS Commodity's volatility.| Risk Adjusted Performance | (0.01) | |||
| Jensen Alpha | (0.01) | |||
| Total Risk Alpha | (0.05) | |||
| Treynor Ratio | 0.1324 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of ETFS Commodity'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.
ETFS Commodity Securities Backtested Returns
ETFS Commodity Securities secures Sharpe Ratio (or Efficiency) of -0.0163, which denotes the etf had a -0.0163% return per unit of return volatility over the last 3 months. ETFS Commodity Securities exposes seventeen different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please confirm ETFS Commodity's standard deviation of 0.6185, and Mean Deviation of 0.1271 to check the risk estimate we provide. The etf shows a Beta (market volatility) of -0.15, which means not very significant fluctuations relative to the market. As returns on the market increase, returns on owning ETFS Commodity are expected to decrease at a much lower rate. During the bear market, ETFS Commodity is likely to outperform the market.
Auto-correlation | -0.99 |
Near perfect reversele predictability
ETFS Commodity Securities has near perfect reversele predictability. Overlapping area represents the amount of predictability between ETFS Commodity time series from 4th of March 2024 to 18th of April 2024 and 18th of April 2024 to 2nd of June 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 Commodity Securities price movement. The serial correlation of -0.99 indicates that 99.0% of current ETFS Commodity price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.99 | |
| Spearman Rank Test | -0.21 | |
| Residual Average | 0.0 | |
| Price Variance | 0.01 |
ETFS Commodity Securities lagged returns against current returns
Autocorrelation, which is ETFS Commodity otc 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 Commodity's otc etf expected returns. We can calculate the autocorrelation of ETFS Commodity returns to help us make a trade decision. For example, suppose you find that ETFS Commodity has exhibited high autocorrelation historically, and you observe that the otc 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 Commodity 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 Commodity otc etf is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if ETFS Commodity otc etf is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in ETFS Commodity otc etf over time.
Current vs Lagged Prices |
| Timeline |
ETFS Commodity Lagged Returns
When evaluating ETFS Commodity's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of ETFS Commodity otc etf have on its future price. ETFS Commodity 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 Commodity autocorrelation shows the relationship between ETFS Commodity otc etf current value and its past values and can show if there is a momentum factor associated with investing in ETFS Commodity Securities.
Regressed Prices |
| Timeline |
Currently Active Assets on Macroaxis
Check out ETFS Commodity Correlation, ETFS Commodity Volatility and ETFS Commodity Alpha and Beta module to complement your research on ETFS Commodity. Note that the ETFS Commodity Securities information on this page should be used as a complementary analysis to other ETFS Commodity'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 Sectors module to list of equity sectors categorizing publicly traded companies based on their primary business activities.
ETFS Commodity technical otc etf 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, otc market cycles, or different charting patterns.