Correlation Between Wave Electronics and KCC Engineering
Can any of the company-specific risk be diversified away by investing in both Wave Electronics and KCC 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 Wave Electronics and KCC Engineering into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Wave Electronics Co and KCC Engineering Construction, you can compare the effects of market volatilities on Wave Electronics and KCC 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 Wave Electronics with a short position of KCC Engineering. Check out your portfolio center. Please also check ongoing floating volatility patterns of Wave Electronics and KCC Engineering.
Diversification Opportunities for Wave Electronics and KCC Engineering
0.82 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between Wave and KCC is 0.82. Overlapping area represents the amount of risk that can be diversified away by holding Wave Electronics Co and KCC Engineering Construction in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on KCC Engineering Cons and Wave Electronics 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 Wave Electronics Co are associated (or correlated) with KCC Engineering. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of KCC Engineering Cons has no effect on the direction of Wave Electronics i.e., Wave Electronics and KCC Engineering go up and down completely randomly.
Pair Corralation between Wave Electronics and KCC Engineering
Assuming the 90 days trading horizon Wave Electronics Co is expected to generate 1.67 times more return on investment than KCC Engineering. However, Wave Electronics is 1.67 times more volatile than KCC Engineering Construction. It trades about 0.41 of its potential returns per unit of risk. KCC Engineering Construction is currently generating about 0.29 per unit of risk. If you would invest 339,500 in Wave Electronics Co on October 9, 2024 and sell it today you would earn a total of 50,500 from holding Wave Electronics Co or generate 14.87% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Wave Electronics Co vs. KCC Engineering Construction
Performance |
Timeline |
Wave Electronics |
KCC Engineering Cons |
Wave Electronics and KCC Engineering Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Wave Electronics and KCC Engineering
The main advantage of trading using opposite Wave Electronics and KCC Engineering positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Wave Electronics position performs unexpectedly, KCC 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 KCC Engineering will offset losses from the drop in KCC Engineering's long position.Wave Electronics vs. Display Tech Co | Wave Electronics vs. Daejung Chemicals Metals | Wave Electronics vs. Kg Chemical | Wave Electronics vs. Daishin Information Communications |
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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 Economic Indicators module to top statistical indicators that provide insights into how an economy is performing.
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