Correlation Between Deutsche Telekom and INPOST SA

Can any of the company-specific risk be diversified away by investing in both Deutsche Telekom and INPOST SA at the same time? Although using a correlation coefficient on its own may not help to predict future stock returns, this module helps to understand the diversifiable risk of combining Deutsche Telekom and INPOST SA into the same portfolio, which is an essential part of the fundamental portfolio management process.

By analyzing existing cross correlation between Deutsche Telekom AG and INPOST SA EO, you can compare the effects of market volatilities on Deutsche Telekom and INPOST SA and check how they will diversify away market risk if combined in the same portfolio for a given time horizon. You can also utilize pair trading strategies of matching a long position in Deutsche Telekom with a short position of INPOST SA. Check out your portfolio center. Please also check ongoing floating volatility patterns of Deutsche Telekom and INPOST SA.

Diversification Opportunities for Deutsche Telekom and INPOST SA

-0.49

Correlation Coefficient

Deutsche Telekom  INPOST SA

Very good diversification

The 3 months correlation between Deutsche and INPOST is -0.49. Overlapping area represents the amount of risk that can be diversified away by holding Deutsche Telekom AG and INPOST SA EO in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on INPOST SA EO and Deutsche Telekom is a relative statistical measure of the degree to which these equity instruments tend to move together. The correlation coefficient measures the extent to which returns on Deutsche Telekom AG are associated (or correlated) with INPOST SA. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of INPOST SA EO has no effect on the direction of Deutsche Telekom i.e., Deutsche Telekom and INPOST SA go up and down completely randomly.

Pair Corralation between Deutsche Telekom and INPOST SA

If you would invest  1,170  in INPOST SA EO on October 4, 2024 and sell it today you would earn a total of  452.00  from holding INPOST SA EO or generate 38.63% return on investment over 90 days.

Time Period	3 Months [change]
Direction	Moves Against
Strength	Very Weak
Accuracy	0.3%
Values	Daily Returns

Deutsche Telekom AG  vs.  INPOST SA EO

Deutsche Telekom

Risk-Adjusted Performance

0 of 100

Good

Over the last 90 days Deutsche Telekom AG has generated negative risk-adjusted returns adding no value to investors with long positions. In spite of comparatively weak technical and fundamental indicators, Deutsche Telekom may actually be approaching a critical reversion point that can send shares even higher in February 2025.

INPOST SA EO

Risk-Adjusted Performance

0 of 100

Very Weak

Over the last 90 days INPOST SA EO has generated negative risk-adjusted returns adding no value to investors with long positions. Despite nearly stable basic indicators, INPOST SA is not utilizing all of its potentials. The current stock price disturbance, may contribute to mid-run losses for the stockholders.

Pair Trading with Deutsche Telekom and INPOST SA

The main advantage of trading using opposite Deutsche Telekom and INPOST SA positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Deutsche Telekom position performs unexpectedly, INPOST SA 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 INPOST SA will offset losses from the drop in INPOST SA's long position.

The idea behind Deutsche Telekom AG and INPOST SA EO pairs trading is to make the combined position market-neutral, meaning the overall market's direction will not affect its win or loss (or potential downside or upside). This can be achieved by designing a pairs trade with two highly correlated stocks or equities that operate in a similar space or sector, making it possible to obtain profits through simple and relatively low-risk investment.

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Note that this page's information should be used as a complementary analysis 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 Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.