Deutsche Telekom Ag Stock Market Value
| DTEGF Stock | USD 23.11 0.30 1.28% |
| Symbol | Deutsche |
Deutsche Telekom '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 Telekom's otc stock 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 Telekom.
| 04/07/2024 |
| 05/07/2024 |
If you would invest 0.00 in Deutsche Telekom on April 7, 2024 and sell it all today you would earn a total of 0.00 from holding Deutsche Telekom AG or generate 0.0% return on investment in Deutsche Telekom over 30 days. Deutsche Telekom is related to or competes with KT, Telkom Indonesia, SK Telecom, PLDT, Telefonica Brasil, Telenor ASA, and Orange SA. Deutsche Telekom AG, together with its subsidiaries, provides integrated telecommunication services More
Deutsche Telekom 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 Telekom's otc stock 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 Telekom AG upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 2.27 | |||
| Information Ratio | (0.02) | |||
| Maximum Drawdown | 9.22 | |||
| Value At Risk | (3.42) | |||
| Potential Upside | 3.55 |
Deutsche Telekom Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Deutsche Telekom's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Deutsche Telekom's standard deviation. In reality, there are many statistical measures that can use Deutsche Telekom historical prices to predict the future Deutsche Telekom's volatility.| Risk Adjusted Performance | 0.0175 | |||
| Jensen Alpha | 0.0235 | |||
| Total Risk Alpha | (0.20) | |||
| Sortino Ratio | (0.02) | |||
| Treynor Ratio | 0.8631 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Deutsche Telekom'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 Telekom Backtested Returns
We consider Deutsche Telekom not too volatile. Deutsche Telekom secures Sharpe Ratio (or Efficiency) of 0.0167, which denotes the company had a 0.0167% return per unit of risk over the last 3 months. We have found thirty technical indicators for Deutsche Telekom AG, which you can use to evaluate the volatility of the firm. Please confirm Deutsche Telekom's Downside Deviation of 2.27, coefficient of variation of 5975.31, and Mean Deviation of 1.56 to check if the risk estimate we provide is consistent with the expected return of 0.0354%. Deutsche Telekom has a performance score of 1 on a scale of 0 to 100. The firm shows a Beta (market volatility) of 0.0294, which means not very significant fluctuations relative to the market. As returns on the market increase, Deutsche Telekom's returns are expected to increase less than the market. However, during the bear market, the loss of holding Deutsche Telekom is expected to be smaller as well. Deutsche Telekom right now shows a risk of 2.11%. Please confirm Deutsche Telekom expected short fall, day median price, and the relationship between the potential upside and accumulation distribution , to decide if Deutsche Telekom will be following its price patterns.
Auto-correlation | -0.64 |
Very good reverse predictability
Deutsche Telekom AG has very good reverse predictability. Overlapping area represents the amount of predictability between Deutsche Telekom time series from 7th of April 2024 to 22nd of April 2024 and 22nd of April 2024 to 7th of May 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 Telekom price movement. The serial correlation of -0.64 indicates that roughly 64.0% of current Deutsche Telekom price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.64 | |
| Spearman Rank Test | -0.14 | |
| Residual Average | 0.0 | |
| Price Variance | 0.09 |
Deutsche Telekom lagged returns against current returns
Autocorrelation, which is Deutsche Telekom otc stock'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 Telekom's otc stock expected returns. We can calculate the autocorrelation of Deutsche Telekom returns to help us make a trade decision. For example, suppose you find that Deutsche Telekom has exhibited high autocorrelation historically, and you observe that the otc stock 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 Telekom 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 Telekom otc stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Deutsche Telekom otc stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Deutsche Telekom otc stock over time.
Current vs Lagged Prices |
| Timeline |
Deutsche Telekom Lagged Returns
When evaluating Deutsche Telekom's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Deutsche Telekom otc stock have on its future price. Deutsche Telekom 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 Telekom autocorrelation shows the relationship between Deutsche Telekom otc stock current value and its past values and can show if there is a momentum factor associated with investing in Deutsche Telekom AG.
Regressed Prices |
| Timeline |
Some investors attempt to determine whether the market's mood is bullish or bearish by monitoring changes in market sentiment. Unlike more traditional methods such as technical analysis, investor sentiment usually refers to the aggregate attitude towards Deutsche Telekom in the overall investment community. So, suppose investors can accurately measure the market's sentiment. In that case, they can use it for their benefit. For example, some tools to gauge market sentiment could be utilized using contrarian indexes, Deutsche Telekom's short interest history, or implied volatility extrapolated from Deutsche Telekom options trading.
Pair Trading with Deutsche Telekom
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 Deutsche Telekom 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 Deutsche Telekom will appreciate offsetting losses from the drop in the long position's value.The ability to find closely correlated positions to Deutsche Telekom could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Deutsche Telekom 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 Deutsche Telekom - 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 Deutsche Telekom AG to buy it.
The correlation of Deutsche Telekom 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 Deutsche Telekom moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Deutsche Telekom 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 Deutsche Telekom 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.Check out Deutsche Telekom Correlation, Deutsche Telekom Volatility and Deutsche Telekom Alpha and Beta module to complement your research on Deutsche Telekom. Note that the Deutsche Telekom information on this page should be used as a complementary analysis to other Deutsche Telekom'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 Portfolio Analyzer module to portfolio analysis module that provides access to portfolio diagnostics and optimization engine.
Complementary Tools for Deutsche OTC Stock analysis
When running Deutsche Telekom's price analysis, check to measure Deutsche Telekom'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 Telekom is operating at the current time. Most of Deutsche Telekom's value examination focuses on studying past and present price action to predict the probability of Deutsche Telekom'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 Telekom's price. Additionally, you may evaluate how the addition of Deutsche Telekom to your portfolios can decrease your overall portfolio volatility.
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Deutsche Telekom technical otc stock 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.