Correlation Between Lake Materials and Korea Petro
Can any of the company-specific risk be diversified away by investing in both Lake Materials and Korea Petro 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 Lake Materials and Korea Petro into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Lake Materials Co and Korea Petro Chemical, you can compare the effects of market volatilities on Lake Materials and Korea Petro 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 Lake Materials with a short position of Korea Petro. Check out your portfolio center. Please also check ongoing floating volatility patterns of Lake Materials and Korea Petro.
Diversification Opportunities for Lake Materials and Korea Petro
0.83 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between Lake and Korea is 0.83. Overlapping area represents the amount of risk that can be diversified away by holding Lake Materials Co and Korea Petro Chemical in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Korea Petro Chemical and Lake Materials 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 Lake Materials Co are associated (or correlated) with Korea Petro. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Korea Petro Chemical has no effect on the direction of Lake Materials i.e., Lake Materials and Korea Petro go up and down completely randomly.
Pair Corralation between Lake Materials and Korea Petro
Assuming the 90 days trading horizon Lake Materials Co is expected to under-perform the Korea Petro. But the stock apears to be less risky and, when comparing its historical volatility, Lake Materials Co is 1.06 times less risky than Korea Petro. The stock trades about -0.2 of its potential returns per unit of risk. The Korea Petro Chemical is currently generating about -0.14 of returns per unit of risk over similar time horizon. If you would invest 10,790,000 in Korea Petro Chemical on September 3, 2024 and sell it today you would lose (2,740,000) from holding Korea Petro Chemical or give up 25.39% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Lake Materials Co vs. Korea Petro Chemical
Performance |
Timeline |
Lake Materials |
Korea Petro Chemical |
Lake Materials and Korea Petro Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Lake Materials and Korea Petro
The main advantage of trading using opposite Lake Materials and Korea Petro positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Lake Materials position performs unexpectedly, Korea Petro 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 Korea Petro will offset losses from the drop in Korea Petro's long position.Lake Materials vs. Lotte Data Communication | Lake Materials vs. Ssangyong Information Communication | Lake Materials vs. Digital Power Communications | Lake Materials vs. Hyundai Home Shopping |
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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 Headlines Timeline module to stay connected to all market stories and filter out noise. Drill down to analyze hype elasticity.
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