Correlation Between PPHE HOTEL and Siemens Aktiengesellscha
Can any of the company-specific risk be diversified away by investing in both PPHE HOTEL and Siemens Aktiengesellscha 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 PPHE HOTEL and Siemens Aktiengesellscha into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between PPHE HOTEL GROUP and Siemens Aktiengesellschaft, you can compare the effects of market volatilities on PPHE HOTEL and Siemens Aktiengesellscha 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 PPHE HOTEL with a short position of Siemens Aktiengesellscha. Check out your portfolio center. Please also check ongoing floating volatility patterns of PPHE HOTEL and Siemens Aktiengesellscha.
Diversification Opportunities for PPHE HOTEL and Siemens Aktiengesellscha
0.66 | Correlation Coefficient |
Poor diversification
The 3 months correlation between PPHE and Siemens is 0.66. Overlapping area represents the amount of risk that can be diversified away by holding PPHE HOTEL GROUP and Siemens Aktiengesellschaft in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Siemens Aktiengesellscha and PPHE HOTEL 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 PPHE HOTEL GROUP are associated (or correlated) with Siemens Aktiengesellscha. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Siemens Aktiengesellscha has no effect on the direction of PPHE HOTEL i.e., PPHE HOTEL and Siemens Aktiengesellscha go up and down completely randomly.
Pair Corralation between PPHE HOTEL and Siemens Aktiengesellscha
Assuming the 90 days trading horizon PPHE HOTEL GROUP is expected to under-perform the Siemens Aktiengesellscha. In addition to that, PPHE HOTEL is 1.13 times more volatile than Siemens Aktiengesellschaft. It trades about -0.03 of its total potential returns per unit of risk. Siemens Aktiengesellschaft is currently generating about 0.08 per unit of volatility. If you would invest 17,362 in Siemens Aktiengesellschaft on October 21, 2024 and sell it today you would earn a total of 2,723 from holding Siemens Aktiengesellschaft or generate 15.68% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
PPHE HOTEL GROUP vs. Siemens Aktiengesellschaft
Performance |
Timeline |
PPHE HOTEL GROUP |
Siemens Aktiengesellscha |
PPHE HOTEL and Siemens Aktiengesellscha Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with PPHE HOTEL and Siemens Aktiengesellscha
The main advantage of trading using opposite PPHE HOTEL and Siemens Aktiengesellscha positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if PPHE HOTEL position performs unexpectedly, Siemens Aktiengesellscha 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 Siemens Aktiengesellscha will offset losses from the drop in Siemens Aktiengesellscha's long position.PPHE HOTEL vs. PLAYWAY SA ZY 10 | PPHE HOTEL vs. USWE SPORTS AB | PPHE HOTEL vs. Alfa Financial Software | PPHE HOTEL vs. ePlay Digital |
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Check out your portfolio center.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 ETF Categories module to list of ETF categories grouped based on various criteria, such as the investment strategy or type of investments.
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