Correlation Between Samhwa Paint and PNC Technologies
Can any of the company-specific risk be diversified away by investing in both Samhwa Paint and PNC Technologies 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 Samhwa Paint and PNC Technologies into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Samhwa Paint Industrial and PNC Technologies co, you can compare the effects of market volatilities on Samhwa Paint and PNC Technologies 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 Samhwa Paint with a short position of PNC Technologies. Check out your portfolio center. Please also check ongoing floating volatility patterns of Samhwa Paint and PNC Technologies.
Diversification Opportunities for Samhwa Paint and PNC Technologies
0.87 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between Samhwa and PNC is 0.87. Overlapping area represents the amount of risk that can be diversified away by holding Samhwa Paint Industrial and PNC Technologies co in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on PNC Technologies and Samhwa Paint 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 Samhwa Paint Industrial are associated (or correlated) with PNC Technologies. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of PNC Technologies has no effect on the direction of Samhwa Paint i.e., Samhwa Paint and PNC Technologies go up and down completely randomly.
Pair Corralation between Samhwa Paint and PNC Technologies
Assuming the 90 days trading horizon Samhwa Paint Industrial is expected to generate 0.97 times more return on investment than PNC Technologies. However, Samhwa Paint Industrial is 1.03 times less risky than PNC Technologies. It trades about -0.06 of its potential returns per unit of risk. PNC Technologies co is currently generating about -0.1 per unit of risk. If you would invest 795,000 in Samhwa Paint Industrial on September 29, 2024 and sell it today you would lose (165,000) from holding Samhwa Paint Industrial or give up 20.75% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Samhwa Paint Industrial vs. PNC Technologies co
Performance |
Timeline |
Samhwa Paint Industrial |
PNC Technologies |
Samhwa Paint and PNC Technologies Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Samhwa Paint and PNC Technologies
The main advantage of trading using opposite Samhwa Paint and PNC Technologies positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Samhwa Paint position performs unexpectedly, PNC Technologies 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 PNC Technologies will offset losses from the drop in PNC Technologies' long position.Samhwa Paint vs. Green Cross Medical | Samhwa Paint vs. THiRA UTECH LTD | Samhwa Paint vs. Hanmi Semiconductor Co | Samhwa Paint vs. Seoul Semiconductor Co |
PNC Technologies vs. Daejoo Electronic Materials | PNC Technologies vs. Parksystems Corp | PNC Technologies vs. BH Co | PNC Technologies vs. Partron Co |
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 Performance Analysis module to check effects of mean-variance optimization against your current asset allocation.
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