Deutsche Multi Asset Global Fund Market Value
SUPCX Fund | USD 16.47 0.02 0.12% |
Symbol | Deutsche |
Deutsche Multi-asset '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 Deutsche Multi-asset's 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 Deutsche Multi-asset.
02/28/2024 |
| 03/29/2024 |
If you would invest 0.00 in Deutsche Multi-asset on February 28, 2024 and sell it all today you would earn a total of 0.00 from holding Deutsche Multi Asset Global or generate 0.0% return on investment in Deutsche Multi-asset over 30 days. Deutsche Multi-asset is related to or competes with Vanguard 500, Vanguard Total, Vanguard Total, Vanguard Total, Vanguard Total, Vanguard 500, and Vanguard 500. Under normal circumstances, the fund invests at least 80 percent of net assets, plus the amount of any borrowings for in... More
Deutsche Multi-asset 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 Deutsche Multi-asset's 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 Deutsche Multi Asset Global upside and downside potential and time the market with a certain degree of confidence.
Downside Deviation | 0.502 | |||
Information Ratio | 0.0115 | |||
Maximum Drawdown | 2.46 | |||
Value At Risk | (0.56) | |||
Potential Upside | 0.9241 |
Deutsche Multi-asset Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Deutsche Multi-asset's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Deutsche Multi-asset's standard deviation. In reality, there are many statistical measures that can use Deutsche Multi-asset historical prices to predict the future Deutsche Multi-asset's volatility.Risk Adjusted Performance | 0.1435 | |||
Jensen Alpha | 0.026 | |||
Total Risk Alpha | 0.0085 | |||
Sortino Ratio | 0.0125 | |||
Treynor Ratio | 0.1557 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Deutsche Multi-asset'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.
Deutsche Multi-asset Backtested Returns
We consider Deutsche Multi-asset very steady. Deutsche Multi-asset secures Sharpe Ratio (or Efficiency) of 0.27, which denotes the fund had a 0.27% return per unit of risk over the last 3 months. We have found twenty-seven technical indicators for Deutsche Multi Asset Global, which you can use to evaluate the volatility of the entity. Please confirm Deutsche Multi-asset's Downside Deviation of 0.502, coefficient of variation of 386.68, and Mean Deviation of 0.4271 to check if the risk estimate we provide is consistent with the expected return of 0.15%. The fund shows a Beta (market volatility) of 0.84, which means possible diversification benefits within a given portfolio. As returns on the market increase, Deutsche Multi-asset's returns are expected to increase less than the market. However, during the bear market, the loss of holding Deutsche Multi-asset is expected to be smaller as well.
Auto-correlation | 0.52 |
Modest predictability
Deutsche Multi Asset Global has modest predictability. Overlapping area represents the amount of predictability between Deutsche Multi-asset time series from 28th of February 2024 to 14th of March 2024 and 14th of March 2024 to 29th of March 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 Deutsche Multi-asset price movement. The serial correlation of 0.52 indicates that about 52.0% of current Deutsche Multi-asset price fluctuation can be explain by its past prices.
Correlation Coefficient | 0.52 | |
Spearman Rank Test | 0.77 | |
Residual Average | 0.0 | |
Price Variance | 0.01 |
Deutsche Multi-asset lagged returns against current returns
Autocorrelation, which is Deutsche Multi-asset 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 Deutsche Multi-asset's mutual fund expected returns. We can calculate the autocorrelation of Deutsche Multi-asset returns to help us make a trade decision. For example, suppose you find that Deutsche Multi-asset 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 |
Deutsche Multi-asset 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 Deutsche Multi-asset mutual fund is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Deutsche Multi-asset mutual fund is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Deutsche Multi-asset mutual fund over time.
Current vs Lagged Prices |
Timeline |
Deutsche Multi-asset Lagged Returns
When evaluating Deutsche Multi-asset's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Deutsche Multi-asset mutual fund have on its future price. Deutsche Multi-asset 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, Deutsche Multi-asset autocorrelation shows the relationship between Deutsche Multi-asset mutual fund current value and its past values and can show if there is a momentum factor associated with investing in Deutsche Multi Asset Global.
Regressed Prices |
Timeline |
Currently Active Assets on Macroaxis
Check out Deutsche Multi-asset Correlation, Deutsche Multi-asset Volatility and Deutsche Multi-asset Alpha and Beta module to complement your research on Deutsche Multi-asset. Note that the Deutsche Multi-asset information on this page should be used as a complementary analysis to other Deutsche Multi-asset'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 Commodity Directory module to find actively traded commodities issued by global exchanges.
Complementary Tools for Deutsche Mutual Fund analysis
When running Deutsche Multi-asset's price analysis, check to measure Deutsche Multi-asset's market volatility, profitability, liquidity, solvency, efficiency, growth potential, financial leverage, and other vital indicators. We have many different tools that can be utilized to determine how healthy Deutsche Multi-asset is operating at the current time. Most of Deutsche Multi-asset's value examination focuses on studying past and present price action to predict the probability of Deutsche Multi-asset's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Deutsche Multi-asset's price. Additionally, you may evaluate how the addition of Deutsche Multi-asset to your portfolios can decrease your overall portfolio volatility.
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Deutsche Multi-asset technical mutual fund 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, fund market cycles, or different charting patterns.