Correlation Between Swiss Leader and ISEQ 20
Can any of the company-specific risk be diversified away by investing in both Swiss Leader and ISEQ 20 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 Swiss Leader and ISEQ 20 into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Swiss Leader Price and ISEQ 20 Price, you can compare the effects of market volatilities on Swiss Leader and ISEQ 20 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 Swiss Leader with a short position of ISEQ 20. Check out your portfolio center. Please also check ongoing floating volatility patterns of Swiss Leader and ISEQ 20.
Diversification Opportunities for Swiss Leader and ISEQ 20
0.56 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Swiss and ISEQ is 0.56. Overlapping area represents the amount of risk that can be diversified away by holding Swiss Leader Price and ISEQ 20 Price in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on ISEQ 20 Price and Swiss Leader 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 Swiss Leader Price are associated (or correlated) with ISEQ 20. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of ISEQ 20 Price has no effect on the direction of Swiss Leader i.e., Swiss Leader and ISEQ 20 go up and down completely randomly.
Pair Corralation between Swiss Leader and ISEQ 20
Assuming the 90 days trading horizon Swiss Leader Price is expected to under-perform the ISEQ 20. But the index apears to be less risky and, when comparing its historical volatility, Swiss Leader Price is 1.32 times less risky than ISEQ 20. The index trades about -0.08 of its potential returns per unit of risk. The ISEQ 20 Price is currently generating about -0.04 of returns per unit of risk over similar time horizon. If you would invest 165,605 in ISEQ 20 Price on September 1, 2024 and sell it today you would lose (4,536) from holding ISEQ 20 Price or give up 2.74% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Swiss Leader Price vs. ISEQ 20 Price
Performance |
Timeline |
Swiss Leader and ISEQ 20 Volatility Contrast
Predicted Return Density |
Returns |
Swiss Leader Price
Pair trading matchups for Swiss Leader
ISEQ 20 Price
Pair trading matchups for ISEQ 20
Pair Trading with Swiss Leader and ISEQ 20
The main advantage of trading using opposite Swiss Leader and ISEQ 20 positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Swiss Leader position performs unexpectedly, ISEQ 20 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 ISEQ 20 will offset losses from the drop in ISEQ 20's long position.Swiss Leader vs. Graubuendner Kantonalbank | Swiss Leader vs. Thurgauer Kantonalbank | Swiss Leader vs. mobilezone ag | Swiss Leader vs. Zurich Insurance Group |
ISEQ 20 vs. Bank of Ireland | ISEQ 20 vs. FD Technologies PLC | ISEQ 20 vs. Ryanair Holdings plc | ISEQ 20 vs. Dalata Hotel Group |
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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