Deutsche Science And Fund Market Value
| KTCSX Fund | USD 43.95 0.02 0.05% |
| Symbol | Deutsche |
Deutsche Science '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 Science'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 Science.
| 12/04/2022 |
| 11/23/2024 |
If you would invest 0.00 in Deutsche Science on December 4, 2022 and sell it all today you would earn a total of 0.00 from holding Deutsche Science And or generate 0.0% return on investment in Deutsche Science over 720 days. Deutsche Science is related to or competes with VEEA, VivoPower International, WEBTOON Entertainment, Deutsche Gnma, Deutsche Short-term, Deutsche Short, and Deutsche Science. Under normal circumstances, the fund invests at least 80 percent of its net assets, plus the amount of any borrowings fo... More
Deutsche Science 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 Science'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 Science And upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 1.45 | |||
| Information Ratio | (0.02) | |||
| Maximum Drawdown | 5.81 | |||
| Value At Risk | (2.31) | |||
| Potential Upside | 1.99 |
Deutsche Science Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Deutsche Science's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Deutsche Science's standard deviation. In reality, there are many statistical measures that can use Deutsche Science historical prices to predict the future Deutsche Science's volatility.| Risk Adjusted Performance | 0.0702 | |||
| Jensen Alpha | 0.0962 | |||
| Total Risk Alpha | (0.09) | |||
| Sortino Ratio | (0.02) | |||
| Treynor Ratio | (3.13) |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Deutsche Science'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 Science And Backtested Returns
At this stage we consider Deutsche Mutual Fund to be very steady. Deutsche Science And secures Sharpe Ratio (or Efficiency) of 0.11, which denotes the fund had a 0.11% return per unit of risk over the last 3 months. We have found twenty-eight technical indicators for Deutsche Science And, which you can use to evaluate the volatility of the entity. Please confirm Deutsche Science's Coefficient Of Variation of 1149.9, mean deviation of 0.8281, and Downside Deviation of 1.45 to check if the risk estimate we provide is consistent with the expected return of 0.12%. The fund shows a Beta (market volatility) of -0.0296, which means not very significant fluctuations relative to the market. As returns on the market increase, returns on owning Deutsche Science are expected to decrease at a much lower rate. During the bear market, Deutsche Science is likely to outperform the market.
Auto-correlation | 0.90 |
Excellent predictability
Deutsche Science And has excellent predictability. Overlapping area represents the amount of predictability between Deutsche Science time series from 4th of December 2022 to 29th of November 2023 and 29th of November 2023 to 23rd 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 Deutsche Science And price movement. The serial correlation of 0.9 indicates that approximately 90.0% of current Deutsche Science price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.9 | |
| Spearman Rank Test | 0.86 | |
| Residual Average | 0.0 | |
| Price Variance | 12.03 |
Deutsche Science And lagged returns against current returns
Autocorrelation, which is Deutsche Science 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 Science's mutual fund expected returns. We can calculate the autocorrelation of Deutsche Science returns to help us make a trade decision. For example, suppose you find that Deutsche Science 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 Science 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 Science mutual fund is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Deutsche Science 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 Science mutual fund over time.
Current vs Lagged Prices |
| Timeline |
Deutsche Science Lagged Returns
When evaluating Deutsche Science's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Deutsche Science mutual fund have on its future price. Deutsche Science 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 Science autocorrelation shows the relationship between Deutsche Science mutual fund current value and its past values and can show if there is a momentum factor associated with investing in Deutsche Science And.
Regressed Prices |
| Timeline |
Also Currently Popular
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 Deutsche Mutual Fund
Deutsche Science financial ratios help investors to determine whether Deutsche Mutual Fund 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 Deutsche with respect to the benefits of owning Deutsche Science security.
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