Correlation Between Energy Technologies and IXUP
Can any of the company-specific risk be diversified away by investing in both Energy Technologies and IXUP 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 Energy Technologies and IXUP into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Energy Technologies Limited and IXUP, you can compare the effects of market volatilities on Energy Technologies and IXUP 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 Energy Technologies with a short position of IXUP. Check out your portfolio center. Please also check ongoing floating volatility patterns of Energy Technologies and IXUP.
Diversification Opportunities for Energy Technologies and IXUP
0.33 | Correlation Coefficient |
Weak diversification
The 3 months correlation between Energy and IXUP is 0.33. Overlapping area represents the amount of risk that can be diversified away by holding Energy Technologies Limited and IXUP in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on IXUP and Energy Technologies 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 Energy Technologies Limited are associated (or correlated) with IXUP. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of IXUP has no effect on the direction of Energy Technologies i.e., Energy Technologies and IXUP go up and down completely randomly.
Pair Corralation between Energy Technologies and IXUP
Assuming the 90 days trading horizon Energy Technologies Limited is expected to generate 0.36 times more return on investment than IXUP. However, Energy Technologies Limited is 2.78 times less risky than IXUP. It trades about 0.01 of its potential returns per unit of risk. IXUP is currently generating about -0.02 per unit of risk. If you would invest 3.10 in Energy Technologies Limited on December 29, 2024 and sell it today you would earn a total of 0.00 from holding Energy Technologies Limited or generate 0.0% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Energy Technologies Limited vs. IXUP
Performance |
Timeline |
Energy Technologies |
IXUP |
Energy Technologies and IXUP Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Energy Technologies and IXUP
The main advantage of trading using opposite Energy Technologies and IXUP positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Energy Technologies position performs unexpectedly, IXUP 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 IXUP will offset losses from the drop in IXUP's long position.Energy Technologies vs. Lendlease Group | Energy Technologies vs. Qbe Insurance Group | Energy Technologies vs. Macquarie Bank Limited | Energy Technologies vs. National Australia Bank |
IXUP vs. Vulcan Steel | IXUP vs. Ras Technology Holdings | IXUP vs. Neurotech International | IXUP vs. Dug Technology |
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 Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.
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