Correlation Between WPG Holdings and WT Microelectronics
Can any of the company-specific risk be diversified away by investing in both WPG Holdings and WT Microelectronics 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 WPG Holdings and WT Microelectronics into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between WPG Holdings and WT Microelectronics Co, you can compare the effects of market volatilities on WPG Holdings and WT Microelectronics 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 WPG Holdings with a short position of WT Microelectronics. Check out your portfolio center. Please also check ongoing floating volatility patterns of WPG Holdings and WT Microelectronics.
Diversification Opportunities for WPG Holdings and WT Microelectronics
0.38 | Correlation Coefficient |
Weak diversification
The 3 months correlation between WPG and 3036 is 0.38. Overlapping area represents the amount of risk that can be diversified away by holding WPG Holdings and WT Microelectronics Co in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on WT Microelectronics and WPG Holdings 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 WPG Holdings are associated (or correlated) with WT Microelectronics. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of WT Microelectronics has no effect on the direction of WPG Holdings i.e., WPG Holdings and WT Microelectronics go up and down completely randomly.
Pair Corralation between WPG Holdings and WT Microelectronics
Assuming the 90 days trading horizon WPG Holdings is expected to under-perform the WT Microelectronics. But the stock apears to be less risky and, when comparing its historical volatility, WPG Holdings is 1.26 times less risky than WT Microelectronics. The stock trades about -0.09 of its potential returns per unit of risk. The WT Microelectronics Co is currently generating about -0.02 of returns per unit of risk over similar time horizon. If you would invest 12,350 in WT Microelectronics Co on September 29, 2024 and sell it today you would lose (1,200) from holding WT Microelectronics Co or give up 9.72% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 99.22% |
Values | Daily Returns |
WPG Holdings vs. WT Microelectronics Co
Performance |
Timeline |
WPG Holdings |
WT Microelectronics |
WPG Holdings and WT Microelectronics Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with WPG Holdings and WT Microelectronics
The main advantage of trading using opposite WPG Holdings and WT Microelectronics positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if WPG Holdings position performs unexpectedly, WT Microelectronics 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 WT Microelectronics will offset losses from the drop in WT Microelectronics' long position.WPG Holdings vs. Century Wind Power | WPG Holdings vs. Green World Fintech | WPG Holdings vs. Ingentec | WPG Holdings vs. Chaheng Precision Co |
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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 Pattern Recognition module to use different Pattern Recognition models to time the market across multiple global exchanges.
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