ETFS Battery (Australia) Market Value
| ACDC Etf | 85.29 0.10 0.12% |
| Symbol | ETFS |
ETFS Battery '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 Battery'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 Battery.
| 12/16/2024 |
| 03/16/2025 |
If you would invest 0.00 in ETFS Battery on December 16, 2024 and sell it all today you would earn a total of 0.00 from holding ETFS Battery Tech or generate 0.0% return on investment in ETFS Battery over 90 days. ETFS Battery is related to or competes with ETFS ROBO. ETFS Battery is entity of Australia. It is traded as Etf on AU exchange. More
ETFS Battery 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 Battery'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 Battery Tech upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 1.26 | |||
| Information Ratio | 0.0987 | |||
| Maximum Drawdown | 5.75 | |||
| Value At Risk | (1.72) | |||
| Potential Upside | 1.77 |
ETFS Battery Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for ETFS Battery's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as ETFS Battery's standard deviation. In reality, there are many statistical measures that can use ETFS Battery historical prices to predict the future ETFS Battery's volatility.| Risk Adjusted Performance | 0.0148 | |||
| Jensen Alpha | 0.0232 | |||
| Total Risk Alpha | 0.1529 | |||
| Sortino Ratio | 0.092 | |||
| Treynor Ratio | 0.0413 |
ETFS Battery Tech Backtested Returns
ETFS Battery Tech secures Sharpe Ratio (or Efficiency) of close to zero, which denotes the etf had a close to zero % return per unit of return volatility over the last 3 months. ETFS Battery Tech exposes twenty-nine different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please confirm ETFS Battery's downside deviation of 1.26, and Mean Deviation of 0.8986 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, ETFS Battery's returns are expected to increase less than the market. However, during the bear market, the loss of holding ETFS Battery is expected to be smaller as well.
Auto-correlation | -0.48 |
Modest reverse predictability
ETFS Battery Tech has modest reverse predictability. Overlapping area represents the amount of predictability between ETFS Battery time series from 16th of December 2024 to 30th of January 2025 and 30th of January 2025 to 16th of March 2025. 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 Battery Tech price movement. The serial correlation of -0.48 indicates that about 48.0% of current ETFS Battery price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.48 | |
| Spearman Rank Test | -0.6 | |
| Residual Average | 0.0 | |
| Price Variance | 2.49 |
ETFS Battery Tech lagged returns against current returns
Autocorrelation, which is ETFS Battery 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 Battery's etf expected returns. We can calculate the autocorrelation of ETFS Battery returns to help us make a trade decision. For example, suppose you find that ETFS Battery 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 Battery 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 Battery etf is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if ETFS Battery etf is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in ETFS Battery etf over time.
Current vs Lagged Prices |
| Timeline |
ETFS Battery Lagged Returns
When evaluating ETFS Battery's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of ETFS Battery etf have on its future price. ETFS Battery 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 Battery autocorrelation shows the relationship between ETFS Battery etf current value and its past values and can show if there is a momentum factor associated with investing in ETFS Battery Tech.
Regressed Prices |
| Timeline |
Thematic Opportunities
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Other Information on Investing in ETFS Etf
ETFS Battery 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 Battery security.