Correlation Between WHA Industrial and ABSOLUTE CLEAN
Can any of the company-specific risk be diversified away by investing in both WHA Industrial and ABSOLUTE CLEAN 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 WHA Industrial and ABSOLUTE CLEAN into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between WHA Industrial Leasehold and ABSOLUTE CLEAN ENERGY, you can compare the effects of market volatilities on WHA Industrial and ABSOLUTE CLEAN 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 WHA Industrial with a short position of ABSOLUTE CLEAN. Check out your portfolio center. Please also check ongoing floating volatility patterns of WHA Industrial and ABSOLUTE CLEAN.
Diversification Opportunities for WHA Industrial and ABSOLUTE CLEAN
-0.58 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between WHA and ABSOLUTE is -0.58. Overlapping area represents the amount of risk that can be diversified away by holding WHA Industrial Leasehold and ABSOLUTE CLEAN ENERGY in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on ABSOLUTE CLEAN ENERGY and WHA Industrial 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 WHA Industrial Leasehold are associated (or correlated) with ABSOLUTE CLEAN. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of ABSOLUTE CLEAN ENERGY has no effect on the direction of WHA Industrial i.e., WHA Industrial and ABSOLUTE CLEAN go up and down completely randomly.
Pair Corralation between WHA Industrial and ABSOLUTE CLEAN
Assuming the 90 days trading horizon WHA Industrial Leasehold is expected to generate 0.28 times more return on investment than ABSOLUTE CLEAN. However, WHA Industrial Leasehold is 3.52 times less risky than ABSOLUTE CLEAN. It trades about 0.23 of its potential returns per unit of risk. ABSOLUTE CLEAN ENERGY is currently generating about -0.11 per unit of risk. If you would invest 563.00 in WHA Industrial Leasehold on September 3, 2024 and sell it today you would earn a total of 97.00 from holding WHA Industrial Leasehold or generate 17.23% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
WHA Industrial Leasehold vs. ABSOLUTE CLEAN ENERGY
Performance |
Timeline |
WHA Industrial Leasehold |
ABSOLUTE CLEAN ENERGY |
WHA Industrial and ABSOLUTE CLEAN Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with WHA Industrial and ABSOLUTE CLEAN
The main advantage of trading using opposite WHA Industrial and ABSOLUTE CLEAN positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if WHA Industrial position performs unexpectedly, ABSOLUTE CLEAN 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 ABSOLUTE CLEAN will offset losses from the drop in ABSOLUTE CLEAN's long position.WHA Industrial vs. Delta Electronics Public | WHA Industrial vs. Delta Electronics Public | WHA Industrial vs. Airports of Thailand | WHA Industrial vs. Airports of Thailand |
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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 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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