Correlation Between Austrian Traded and ISEQ 20
Can any of the company-specific risk be diversified away by investing in both Austrian Traded 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 Austrian Traded and ISEQ 20 into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Austrian Traded Index and ISEQ 20 Price, you can compare the effects of market volatilities on Austrian Traded 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 Austrian Traded with a short position of ISEQ 20. Check out your portfolio center. Please also check ongoing floating volatility patterns of Austrian Traded and ISEQ 20.
Diversification Opportunities for Austrian Traded and ISEQ 20
0.31 | Correlation Coefficient |
Weak diversification
The 3 months correlation between Austrian and ISEQ is 0.31. Overlapping area represents the amount of risk that can be diversified away by holding Austrian Traded Index 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 Austrian Traded 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 Austrian Traded Index 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 Austrian Traded i.e., Austrian Traded and ISEQ 20 go up and down completely randomly.
Pair Corralation between Austrian Traded and ISEQ 20
Assuming the 90 days trading horizon Austrian Traded Index is expected to under-perform the ISEQ 20. But the index apears to be less risky and, when comparing its historical volatility, Austrian Traded Index is 1.15 times less risky than ISEQ 20. The index trades about -0.11 of its potential returns per unit of risk. The ISEQ 20 Price is currently generating about -0.06 of returns per unit of risk over similar time horizon. If you would invest 165,072 in ISEQ 20 Price on August 30, 2024 and sell it today you would lose (6,616) from holding ISEQ 20 Price or give up 4.01% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Austrian Traded Index vs. ISEQ 20 Price
Performance |
Timeline |
Austrian Traded and ISEQ 20 Volatility Contrast
Predicted Return Density |
Returns |
Austrian Traded Index
Pair trading matchups for Austrian Traded
ISEQ 20 Price
Pair trading matchups for ISEQ 20
Pair Trading with Austrian Traded and ISEQ 20
The main advantage of trading using opposite Austrian Traded and ISEQ 20 positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Austrian Traded 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.Austrian Traded vs. UNIQA Insurance Group | Austrian Traded vs. BKS Bank AG | Austrian Traded vs. AMAG Austria Metall | Austrian Traded vs. SBM Offshore NV |
ISEQ 20 vs. Dalata Hotel Group | ISEQ 20 vs. Bank of Ireland | ISEQ 20 vs. Ryanair Holdings plc | ISEQ 20 vs. Datalex |
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 Alpha Finder module to use alpha and beta coefficients to find investment opportunities after accounting for the risk.
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