Correlation Between AfreecaTV and Sangsangin
Can any of the company-specific risk be diversified away by investing in both AfreecaTV and Sangsangin 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 AfreecaTV and Sangsangin into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between AfreecaTV Co and Sangsangin Co, you can compare the effects of market volatilities on AfreecaTV and Sangsangin 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 AfreecaTV with a short position of Sangsangin. Check out your portfolio center. Please also check ongoing floating volatility patterns of AfreecaTV and Sangsangin.
Diversification Opportunities for AfreecaTV and Sangsangin
-0.12 | Correlation Coefficient |
Good diversification
The 3 months correlation between AfreecaTV and Sangsangin is -0.12. Overlapping area represents the amount of risk that can be diversified away by holding AfreecaTV Co and Sangsangin Co in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Sangsangin and AfreecaTV 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 AfreecaTV Co are associated (or correlated) with Sangsangin. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Sangsangin has no effect on the direction of AfreecaTV i.e., AfreecaTV and Sangsangin go up and down completely randomly.
Pair Corralation between AfreecaTV and Sangsangin
Assuming the 90 days trading horizon AfreecaTV Co is expected to generate 1.0 times more return on investment than Sangsangin. However, AfreecaTV is 1.0 times more volatile than Sangsangin Co. It trades about -0.04 of its potential returns per unit of risk. Sangsangin Co is currently generating about -0.06 per unit of risk. If you would invest 9,561,324 in AfreecaTV Co on October 23, 2024 and sell it today you would lose (481,324) from holding AfreecaTV Co or give up 5.03% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
AfreecaTV Co vs. Sangsangin Co
Performance |
Timeline |
AfreecaTV |
Sangsangin |
AfreecaTV and Sangsangin Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with AfreecaTV and Sangsangin
The main advantage of trading using opposite AfreecaTV and Sangsangin positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if AfreecaTV position performs unexpectedly, Sangsangin 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 Sangsangin will offset losses from the drop in Sangsangin's long position.The idea behind AfreecaTV Co and Sangsangin Co 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.Sangsangin vs. Soulbrain Holdings Co | Sangsangin vs. SFA Engineering | Sangsangin vs. AfreecaTV Co | Sangsangin vs. STCube Inc |
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 Insider Screener module to find insiders across different sectors to evaluate their impact on performance.
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