Correlation Between Snap and LG Energy
Can any of the company-specific risk be diversified away by investing in both Snap and LG Energy 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 Snap and LG Energy into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Snap Inc and LG Energy Solution, you can compare the effects of market volatilities on Snap and LG Energy 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 Snap with a short position of LG Energy. Check out your portfolio center. Please also check ongoing floating volatility patterns of Snap and LG Energy.
Diversification Opportunities for Snap and LG Energy
Very weak diversification
The 3 months correlation between Snap and 373220 is 0.4. Overlapping area represents the amount of risk that can be diversified away by holding Snap Inc and LG Energy Solution in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on LG Energy Solution and Snap 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 Snap Inc are associated (or correlated) with LG Energy. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of LG Energy Solution has no effect on the direction of Snap i.e., Snap and LG Energy go up and down completely randomly.
Pair Corralation between Snap and LG Energy
Given the investment horizon of 90 days Snap Inc is expected to generate 0.76 times more return on investment than LG Energy. However, Snap Inc is 1.32 times less risky than LG Energy. It trades about -0.03 of its potential returns per unit of risk. LG Energy Solution is currently generating about -0.05 per unit of risk. If you would invest 1,216 in Snap Inc on September 1, 2024 and sell it today you would lose (35.00) from holding Snap Inc or give up 2.88% of portfolio value over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Weak |
| Accuracy | 95.45% |
| Values | Daily Returns |
Snap Inc vs. LG Energy Solution
Performance |
| Timeline |
| Snap Inc |
| LG Energy Solution |
Snap and LG Energy Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Snap and LG Energy
The main advantage of trading using opposite Snap and LG Energy positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Snap position performs unexpectedly, LG Energy 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 LG Energy will offset losses from the drop in LG Energy's long position.The idea behind Snap Inc and LG Energy Solution pairs trading is to make the combined position market-neutral, meaning the overall market's direction will not affect its win or loss (or potential downside or upside). This can be achieved by designing a pairs trade with two highly correlated stocks or equities that operate in a similar space or sector, making it possible to obtain profits through simple and relatively low-risk investment.| LG Energy vs. Doosan Heavy Ind | LG Energy vs. Hyosung Heavy Industries | LG Energy vs. Aprogen KIC | LG Energy vs. SNTEnergy 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 Equity Forecasting module to use basic forecasting models to generate price predictions and determine price momentum.
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