Correlation Between FLITTO and SOOSAN INT
Can any of the company-specific risk be diversified away by investing in both FLITTO and SOOSAN INT 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 FLITTO and SOOSAN INT into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between FLITTO Inc and SOOSAN INT Co, you can compare the effects of market volatilities on FLITTO and SOOSAN INT 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 FLITTO with a short position of SOOSAN INT. Check out your portfolio center. Please also check ongoing floating volatility patterns of FLITTO and SOOSAN INT.
Diversification Opportunities for FLITTO and SOOSAN INT
0.9 | Correlation Coefficient |
Almost no diversification
The 3 months correlation between FLITTO and SOOSAN is 0.9. Overlapping area represents the amount of risk that can be diversified away by holding FLITTO Inc and SOOSAN INT Co in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on SOOSAN INT and FLITTO 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 FLITTO Inc are associated (or correlated) with SOOSAN INT. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of SOOSAN INT has no effect on the direction of FLITTO i.e., FLITTO and SOOSAN INT go up and down completely randomly.
Pair Corralation between FLITTO and SOOSAN INT
Assuming the 90 days trading horizon FLITTO Inc is expected to generate 1.98 times more return on investment than SOOSAN INT. However, FLITTO is 1.98 times more volatile than SOOSAN INT Co. It trades about 0.0 of its potential returns per unit of risk. SOOSAN INT Co is currently generating about 0.0 per unit of risk. If you would invest 2,250,000 in FLITTO Inc on August 28, 2024 and sell it today you would lose (903,000) from holding FLITTO Inc or give up 40.13% of portfolio value over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Very Strong |
| Accuracy | 100.0% |
| Values | Daily Returns |
FLITTO Inc vs. SOOSAN INT Co
Performance |
| Timeline |
| FLITTO Inc |
| SOOSAN INT |
FLITTO and SOOSAN INT Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with FLITTO and SOOSAN INT
The main advantage of trading using opposite FLITTO and SOOSAN INT positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if FLITTO position performs unexpectedly, SOOSAN INT 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 SOOSAN INT will offset losses from the drop in SOOSAN INT's long position.The idea behind FLITTO Inc and SOOSAN INT 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.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 Sync Your Broker module to sync your existing holdings, watchlists, positions or portfolios from thousands of online brokerage services, banks, investment account aggregators and robo-advisors..
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