Dynamic Active Crossover Etf Market Value
| DXO Etf | CAD 19.60 0.04 0.20% |
| Symbol | Dynamic |
Dynamic Active '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 Dynamic Active'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 Dynamic Active.
| 12/09/2022 |
| 11/28/2024 |
If you would invest 0.00 in Dynamic Active on December 9, 2022 and sell it all today you would earn a total of 0.00 from holding Dynamic Active Crossover or generate 0.0% return on investment in Dynamic Active over 720 days. Dynamic Active is related to or competes with Dynamic Active, Dynamic Active, Dynamic Active, Dynamic Active, and Dynamic Active. DXO seeks to provide interest income and the potential for some long-term capital growth by investing primarily in North... More
Dynamic Active 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 Dynamic Active'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 Dynamic Active Crossover upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.2825 | |||
| Information Ratio | (0.37) | |||
| Maximum Drawdown | 1.96 | |||
| Value At Risk | (0.36) | |||
| Potential Upside | 0.4128 |
Dynamic Active Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Dynamic Active's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Dynamic Active's standard deviation. In reality, there are many statistical measures that can use Dynamic Active historical prices to predict the future Dynamic Active's volatility.| Risk Adjusted Performance | 0.0396 | |||
| Jensen Alpha | 0.0177 | |||
| Total Risk Alpha | (0.03) | |||
| Sortino Ratio | (0.39) | |||
| Treynor Ratio | (0.22) |
Dynamic Active Crossover Backtested Returns
As of now, Dynamic Etf is very steady. Dynamic Active Crossover secures Sharpe Ratio (or Efficiency) of 0.0585, which denotes the etf had a 0.0585% return per unit of risk over the last 3 months. We have found thirty technical indicators for Dynamic Active Crossover, which you can use to evaluate the volatility of the entity. Please confirm Dynamic Active's Mean Deviation of 0.2199, downside deviation of 0.2825, and Coefficient Of Variation of 1376.0 to check if the risk estimate we provide is consistent with the expected return of 0.0178%. The etf shows a Beta (market volatility) of -0.0526, which means not very significant fluctuations relative to the market. As returns on the market increase, returns on owning Dynamic Active are expected to decrease at a much lower rate. During the bear market, Dynamic Active is likely to outperform the market.
Auto-correlation | 0.48 |
Average predictability
Dynamic Active Crossover has average predictability. Overlapping area represents the amount of predictability between Dynamic Active time series from 9th of December 2022 to 4th of December 2023 and 4th of December 2023 to 28th 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 Dynamic Active Crossover price movement. The serial correlation of 0.48 indicates that about 48.0% of current Dynamic Active price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.48 | |
| Spearman Rank Test | 0.45 | |
| Residual Average | 0.0 | |
| Price Variance | 0.24 |
Dynamic Active Crossover lagged returns against current returns
Autocorrelation, which is Dynamic Active 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 Dynamic Active's etf expected returns. We can calculate the autocorrelation of Dynamic Active returns to help us make a trade decision. For example, suppose you find that Dynamic Active 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 |
Dynamic Active 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 Dynamic Active etf is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Dynamic Active etf is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Dynamic Active etf over time.
Current vs Lagged Prices |
| Timeline |
Dynamic Active Lagged Returns
When evaluating Dynamic Active's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Dynamic Active etf have on its future price. Dynamic Active 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, Dynamic Active autocorrelation shows the relationship between Dynamic Active etf current value and its past values and can show if there is a momentum factor associated with investing in Dynamic Active Crossover.
Regressed Prices |
| Timeline |
Pair Trading with Dynamic Active
One of the main advantages of trading using pair correlations is that every trade hedges away some risk. Because there are two separate transactions required, even if Dynamic Active position performs unexpectedly, the other equity can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in Dynamic Active will appreciate offsetting losses from the drop in the long position's value.Moving together with Dynamic Etf
| 0.77 | ZHY | BMO High Yield | PairCorr |
| 0.72 | XSI | iShares Short Term | PairCorr |
| 0.66 | PBD | Purpose Total Return | PairCorr |
The ability to find closely correlated positions to Dynamic Active could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Dynamic Active when you sell it. If you don't do this, your portfolio allocation will be skewed against your target asset allocation. So, investors can't just sell and buy back Dynamic Active - that would be a violation of the tax code under the "wash sale" rule, and this is why you need to find a similar enough asset and use the proceeds from selling Dynamic Active Crossover to buy it.
The correlation of Dynamic Active is a statistical measure of how it moves in relation to other instruments. This measure is expressed in what is known as the correlation coefficient, which ranges between -1 and +1. A perfect positive correlation (i.e., a correlation coefficient of +1) implies that as Dynamic Active moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Dynamic Active Crossover moves in either direction, the perfectly negatively correlated security will move in the opposite direction. If the correlation is 0, the equities are not correlated; they are entirely random. A correlation greater than 0.8 is generally described as strong, whereas a correlation less than 0.5 is generally considered weak.
Correlation analysis and pair trading evaluation for Dynamic Active can also be used as hedging techniques within a particular sector or industry or even over random equities to generate a better risk-adjusted return on your portfolios.Other Information on Investing in Dynamic Etf
Dynamic Active financial ratios help investors to determine whether Dynamic 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 Dynamic with respect to the benefits of owning Dynamic Active security.