Correlation Between Zuger Kantonalbank and Glarner Kantonalbank
Can any of the company-specific risk be diversified away by investing in both Zuger Kantonalbank and Glarner Kantonalbank 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 Zuger Kantonalbank and Glarner Kantonalbank into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Zuger Kantonalbank and Glarner Kantonalbank, you can compare the effects of market volatilities on Zuger Kantonalbank and Glarner Kantonalbank 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 Zuger Kantonalbank with a short position of Glarner Kantonalbank. Check out your portfolio center. Please also check ongoing floating volatility patterns of Zuger Kantonalbank and Glarner Kantonalbank.
Diversification Opportunities for Zuger Kantonalbank and Glarner Kantonalbank
0.54 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Zuger and Glarner is 0.54. Overlapping area represents the amount of risk that can be diversified away by holding Zuger Kantonalbank and Glarner Kantonalbank in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Glarner Kantonalbank and Zuger Kantonalbank 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 Zuger Kantonalbank are associated (or correlated) with Glarner Kantonalbank. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Glarner Kantonalbank has no effect on the direction of Zuger Kantonalbank i.e., Zuger Kantonalbank and Glarner Kantonalbank go up and down completely randomly.
Pair Corralation between Zuger Kantonalbank and Glarner Kantonalbank
Assuming the 90 days trading horizon Zuger Kantonalbank is expected to under-perform the Glarner Kantonalbank. But the stock apears to be less risky and, when comparing its historical volatility, Zuger Kantonalbank is 1.48 times less risky than Glarner Kantonalbank. The stock trades about -0.09 of its potential returns per unit of risk. The Glarner Kantonalbank is currently generating about 0.0 of returns per unit of risk over similar time horizon. If you would invest 2,100 in Glarner Kantonalbank on September 27, 2024 and sell it today you would lose (10.00) from holding Glarner Kantonalbank or give up 0.48% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Zuger Kantonalbank vs. Glarner Kantonalbank
Performance |
Timeline |
Zuger Kantonalbank |
Glarner Kantonalbank |
Zuger Kantonalbank and Glarner Kantonalbank Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Zuger Kantonalbank and Glarner Kantonalbank
The main advantage of trading using opposite Zuger Kantonalbank and Glarner Kantonalbank positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Zuger Kantonalbank position performs unexpectedly, Glarner Kantonalbank 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 Glarner Kantonalbank will offset losses from the drop in Glarner Kantonalbank's long position.Zuger Kantonalbank vs. Helvetia Holding AG | Zuger Kantonalbank vs. Swiss Life Holding | Zuger Kantonalbank vs. Baloise Holding AG | Zuger Kantonalbank vs. Logitech International SA |
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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 Equity Forecasting module to use basic forecasting models to generate price predictions and determine price momentum.
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