Correlation Between Autocorp Holding and WHA Public
Can any of the company-specific risk be diversified away by investing in both Autocorp Holding and WHA Public 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 Autocorp Holding and WHA Public into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Autocorp Holding Public and WHA Public, you can compare the effects of market volatilities on Autocorp Holding and WHA Public 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 Autocorp Holding with a short position of WHA Public. Check out your portfolio center. Please also check ongoing floating volatility patterns of Autocorp Holding and WHA Public.
Diversification Opportunities for Autocorp Holding and WHA Public
-0.5 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Autocorp and WHA is -0.5. Overlapping area represents the amount of risk that can be diversified away by holding Autocorp Holding Public and WHA Public in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on WHA Public and Autocorp Holding 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 Autocorp Holding Public are associated (or correlated) with WHA Public. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of WHA Public has no effect on the direction of Autocorp Holding i.e., Autocorp Holding and WHA Public go up and down completely randomly.
Pair Corralation between Autocorp Holding and WHA Public
Assuming the 90 days trading horizon Autocorp Holding Public is expected to under-perform the WHA Public. But the stock apears to be less risky and, when comparing its historical volatility, Autocorp Holding Public is 58.51 times less risky than WHA Public. The stock trades about -0.15 of its potential returns per unit of risk. The WHA Public is currently generating about 0.12 of returns per unit of risk over similar time horizon. If you would invest 486.00 in WHA Public on September 28, 2024 and sell it today you would earn a total of 54.00 from holding WHA Public or generate 11.11% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 98.36% |
Values | Daily Returns |
Autocorp Holding Public vs. WHA Public
Performance |
Timeline |
Autocorp Holding Public |
WHA Public |
Autocorp Holding and WHA Public Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Autocorp Holding and WHA Public
The main advantage of trading using opposite Autocorp Holding and WHA Public positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Autocorp Holding position performs unexpectedly, WHA Public 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 WHA Public will offset losses from the drop in WHA Public's long position.Autocorp Holding vs. Amanah Leasing Public | Autocorp Holding vs. Asia Fiber Public | Autocorp Holding vs. Ingress Industrial Public | Autocorp Holding vs. Ekarat Engineering Public |
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 Technical Analysis module to check basic technical indicators and analysis based on most latest market data.
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