Correlation Between ISEQ 20 and Austrian Traded
Can any of the company-specific risk be diversified away by investing in both ISEQ 20 and Austrian Traded 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 ISEQ 20 and Austrian Traded into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between ISEQ 20 Price and Austrian Traded Index, you can compare the effects of market volatilities on ISEQ 20 and Austrian Traded 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 ISEQ 20 with a short position of Austrian Traded. Check out your portfolio center. Please also check ongoing floating volatility patterns of ISEQ 20 and Austrian Traded.
Diversification Opportunities for ISEQ 20 and Austrian Traded
0.45 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between ISEQ and Austrian is 0.45. Overlapping area represents the amount of risk that can be diversified away by holding ISEQ 20 Price and Austrian Traded Index in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Austrian Traded Index and ISEQ 20 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 ISEQ 20 Price are associated (or correlated) with Austrian Traded. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Austrian Traded Index has no effect on the direction of ISEQ 20 i.e., ISEQ 20 and Austrian Traded go up and down completely randomly.
Pair Corralation between ISEQ 20 and Austrian Traded
Assuming the 90 days trading horizon ISEQ 20 Price is expected to generate 1.1 times more return on investment than Austrian Traded. However, ISEQ 20 is 1.1 times more volatile than Austrian Traded Index. It trades about -0.03 of its potential returns per unit of risk. Austrian Traded Index is currently generating about -0.03 per unit of risk. If you would invest 167,556 in ISEQ 20 Price on September 1, 2024 and sell it today you would lose (6,487) from holding ISEQ 20 Price or give up 3.87% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
ISEQ 20 Price vs. Austrian Traded Index
Performance |
Timeline |
ISEQ 20 and Austrian Traded Volatility Contrast
Predicted Return Density |
Returns |
ISEQ 20 Price
Pair trading matchups for ISEQ 20
Austrian Traded Index
Pair trading matchups for Austrian Traded
Pair Trading with ISEQ 20 and Austrian Traded
The main advantage of trading using opposite ISEQ 20 and Austrian Traded positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if ISEQ 20 position performs unexpectedly, Austrian Traded 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 Austrian Traded will offset losses from the drop in Austrian Traded's long position.ISEQ 20 vs. Bank of Ireland | ISEQ 20 vs. FD Technologies PLC | ISEQ 20 vs. Ryanair Holdings plc | ISEQ 20 vs. Dalata Hotel Group |
Austrian Traded vs. UNIQA Insurance Group | Austrian Traded vs. SBM Offshore NV | Austrian Traded vs. AMAG Austria Metall | Austrian Traded vs. Oberbank AG |
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 Pattern Recognition module to use different Pattern Recognition models to time the market across multiple global exchanges.
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