Correlation Between Lake Materials and SBI Investment
Can any of the company-specific risk be diversified away by investing in both Lake Materials and SBI Investment 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 SBI Investment 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 SBI Investment KOREA, you can compare the effects of market volatilities on Lake Materials and SBI Investment 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 SBI Investment. Check out your portfolio center. Please also check ongoing floating volatility patterns of Lake Materials and SBI Investment.
Diversification Opportunities for Lake Materials and SBI Investment
-0.43 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Lake and SBI is -0.43. Overlapping area represents the amount of risk that can be diversified away by holding Lake Materials Co and SBI Investment KOREA in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on SBI Investment KOREA 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 SBI Investment. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of SBI Investment KOREA has no effect on the direction of Lake Materials i.e., Lake Materials and SBI Investment go up and down completely randomly.
Pair Corralation between Lake Materials and SBI Investment
Assuming the 90 days trading horizon Lake Materials Co is expected to generate 2.86 times more return on investment than SBI Investment. However, Lake Materials is 2.86 times more volatile than SBI Investment KOREA. It trades about 0.12 of its potential returns per unit of risk. SBI Investment KOREA is currently generating about -0.11 per unit of risk. If you would invest 1,181,658 in Lake Materials Co on December 22, 2024 and sell it today you would earn a total of 384,342 from holding Lake Materials Co or generate 32.53% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Lake Materials Co vs. SBI Investment KOREA
Performance |
Timeline |
Lake Materials |
SBI Investment KOREA |
Lake Materials and SBI Investment Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Lake Materials and SBI Investment
The main advantage of trading using opposite Lake Materials and SBI Investment positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Lake Materials position performs unexpectedly, SBI Investment 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 SBI Investment will offset losses from the drop in SBI Investment's long position.Lake Materials vs. Samsung Electronics Co | Lake Materials vs. Sangshin Electronics Co | Lake Materials vs. PJ Metal Co | Lake Materials vs. Kukil Metal Co |
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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 Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.
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