Correlation Between SCHALTBAU HOLDING and Postal Savings
Can any of the company-specific risk be diversified away by investing in both SCHALTBAU HOLDING and Postal Savings 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 SCHALTBAU HOLDING and Postal Savings into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between SCHALTBAU HOLDING and Postal Savings Bank, you can compare the effects of market volatilities on SCHALTBAU HOLDING and Postal Savings 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 SCHALTBAU HOLDING with a short position of Postal Savings. Check out your portfolio center. Please also check ongoing floating volatility patterns of SCHALTBAU HOLDING and Postal Savings.
Diversification Opportunities for SCHALTBAU HOLDING and Postal Savings
-0.44 | Correlation Coefficient |
Very good diversification
The 3 months correlation between SCHALTBAU and Postal is -0.44. Overlapping area represents the amount of risk that can be diversified away by holding SCHALTBAU HOLDING and Postal Savings Bank in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Postal Savings Bank and SCHALTBAU HOLDING 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 SCHALTBAU HOLDING are associated (or correlated) with Postal Savings. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Postal Savings Bank has no effect on the direction of SCHALTBAU HOLDING i.e., SCHALTBAU HOLDING and Postal Savings go up and down completely randomly.
Pair Corralation between SCHALTBAU HOLDING and Postal Savings
Assuming the 90 days trading horizon SCHALTBAU HOLDING is expected to generate 35.41 times less return on investment than Postal Savings. But when comparing it to its historical volatility, SCHALTBAU HOLDING is 2.35 times less risky than Postal Savings. It trades about 0.0 of its potential returns per unit of risk. Postal Savings Bank is currently generating about 0.06 of returns per unit of risk over similar time horizon. If you would invest 52.00 in Postal Savings Bank on September 5, 2024 and sell it today you would earn a total of 1.00 from holding Postal Savings Bank or generate 1.92% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 95.65% |
Values | Daily Returns |
SCHALTBAU HOLDING vs. Postal Savings Bank
Performance |
Timeline |
SCHALTBAU HOLDING |
Postal Savings Bank |
SCHALTBAU HOLDING and Postal Savings Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with SCHALTBAU HOLDING and Postal Savings
The main advantage of trading using opposite SCHALTBAU HOLDING and Postal Savings positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if SCHALTBAU HOLDING position performs unexpectedly, Postal Savings 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 Postal Savings will offset losses from the drop in Postal Savings' long position.SCHALTBAU HOLDING vs. Apple Inc | SCHALTBAU HOLDING vs. Apple Inc | SCHALTBAU HOLDING vs. Apple Inc | SCHALTBAU HOLDING vs. Apple Inc |
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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 Price Transformation module to use Price Transformation models to analyze the depth of different equity instruments across global markets.
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