Correlation Between Wonbang Tech and Samwha Electronics
Can any of the company-specific risk be diversified away by investing in both Wonbang Tech and Samwha Electronics 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 Wonbang Tech and Samwha Electronics into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Wonbang Tech Co and Samwha Electronics Co, you can compare the effects of market volatilities on Wonbang Tech and Samwha Electronics 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 Wonbang Tech with a short position of Samwha Electronics. Check out your portfolio center. Please also check ongoing floating volatility patterns of Wonbang Tech and Samwha Electronics.
Diversification Opportunities for Wonbang Tech and Samwha Electronics
0.0 | Correlation Coefficient |
Pay attention - limited upside
The 3 months correlation between Wonbang and Samwha is 0.0. Overlapping area represents the amount of risk that can be diversified away by holding Wonbang Tech Co and Samwha Electronics Co in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Samwha Electronics and Wonbang Tech 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 Wonbang Tech Co are associated (or correlated) with Samwha Electronics. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Samwha Electronics has no effect on the direction of Wonbang Tech i.e., Wonbang Tech and Samwha Electronics go up and down completely randomly.
Pair Corralation between Wonbang Tech and Samwha Electronics
Assuming the 90 days trading horizon Wonbang Tech Co is expected to under-perform the Samwha Electronics. But the stock apears to be less risky and, when comparing its historical volatility, Wonbang Tech Co is 1.75 times less risky than Samwha Electronics. The stock trades about -0.11 of its potential returns per unit of risk. The Samwha Electronics Co is currently generating about 0.03 of returns per unit of risk over similar time horizon. If you would invest 307,000 in Samwha Electronics Co on September 24, 2024 and sell it today you would earn a total of 8,500 from holding Samwha Electronics Co or generate 2.77% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Flat |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Wonbang Tech Co vs. Samwha Electronics Co
Performance |
Timeline |
Wonbang Tech |
Samwha Electronics |
Wonbang Tech and Samwha Electronics Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Wonbang Tech and Samwha Electronics
The main advantage of trading using opposite Wonbang Tech and Samwha Electronics positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Wonbang Tech position performs unexpectedly, Samwha Electronics 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 Samwha Electronics will offset losses from the drop in Samwha Electronics' long position.Wonbang Tech vs. Samsung Electronics Co | Wonbang Tech vs. Samsung Electronics Co | Wonbang Tech vs. LG Energy Solution | Wonbang Tech vs. SK Hynix |
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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 Volatility Analysis module to get historical volatility and risk analysis based on latest market data.
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