Correlation Between Wireless Power and KEPCO Engineering
Can any of the company-specific risk be diversified away by investing in both Wireless Power and KEPCO Engineering 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 Wireless Power and KEPCO Engineering into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Wireless Power Amplifier and KEPCO Engineering Construction, you can compare the effects of market volatilities on Wireless Power and KEPCO Engineering 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 Wireless Power with a short position of KEPCO Engineering. Check out your portfolio center. Please also check ongoing floating volatility patterns of Wireless Power and KEPCO Engineering.
Diversification Opportunities for Wireless Power and KEPCO Engineering
0.22 | Correlation Coefficient |
Modest diversification
The 3 months correlation between Wireless and KEPCO is 0.22. Overlapping area represents the amount of risk that can be diversified away by holding Wireless Power Amplifier and KEPCO Engineering Construction in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on KEPCO Engineering and Wireless Power 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 Wireless Power Amplifier are associated (or correlated) with KEPCO Engineering. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of KEPCO Engineering has no effect on the direction of Wireless Power i.e., Wireless Power and KEPCO Engineering go up and down completely randomly.
Pair Corralation between Wireless Power and KEPCO Engineering
Assuming the 90 days trading horizon Wireless Power Amplifier is expected to generate 0.65 times more return on investment than KEPCO Engineering. However, Wireless Power Amplifier is 1.55 times less risky than KEPCO Engineering. It trades about -0.07 of its potential returns per unit of risk. KEPCO Engineering Construction is currently generating about -0.11 per unit of risk. If you would invest 269,000 in Wireless Power Amplifier on September 22, 2024 and sell it today you would lose (24,000) from holding Wireless Power Amplifier or give up 8.92% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Wireless Power Amplifier vs. KEPCO Engineering Construction
Performance |
Timeline |
Wireless Power Amplifier |
KEPCO Engineering |
Wireless Power and KEPCO Engineering Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Wireless Power and KEPCO Engineering
The main advantage of trading using opposite Wireless Power and KEPCO Engineering positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Wireless Power position performs unexpectedly, KEPCO Engineering 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 KEPCO Engineering will offset losses from the drop in KEPCO Engineering's long position.Wireless Power vs. Cuckoo Homesys Co | Wireless Power vs. Netmarble Games Corp | Wireless Power vs. Hanil Chemical Ind | Wireless Power vs. LG Chemicals |
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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 Insider Screener module to find insiders across different sectors to evaluate their impact on performance.
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