Correlation Between FNSTech and Heungkuk Metaltech
Can any of the company-specific risk be diversified away by investing in both FNSTech and Heungkuk Metaltech 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 FNSTech and Heungkuk Metaltech into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between FNSTech Co and Heungkuk Metaltech CoLtd, you can compare the effects of market volatilities on FNSTech and Heungkuk Metaltech 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 FNSTech with a short position of Heungkuk Metaltech. Check out your portfolio center. Please also check ongoing floating volatility patterns of FNSTech and Heungkuk Metaltech.
Diversification Opportunities for FNSTech and Heungkuk Metaltech
0.56 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between FNSTech and Heungkuk is 0.56. Overlapping area represents the amount of risk that can be diversified away by holding FNSTech Co and Heungkuk Metaltech CoLtd in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Heungkuk Metaltech CoLtd and FNSTech 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 FNSTech Co are associated (or correlated) with Heungkuk Metaltech. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Heungkuk Metaltech CoLtd has no effect on the direction of FNSTech i.e., FNSTech and Heungkuk Metaltech go up and down completely randomly.
Pair Corralation between FNSTech and Heungkuk Metaltech
Assuming the 90 days trading horizon FNSTech Co is expected to under-perform the Heungkuk Metaltech. In addition to that, FNSTech is 3.1 times more volatile than Heungkuk Metaltech CoLtd. It trades about -0.04 of its total potential returns per unit of risk. Heungkuk Metaltech CoLtd is currently generating about -0.09 per unit of volatility. If you would invest 491,000 in Heungkuk Metaltech CoLtd on August 27, 2024 and sell it today you would lose (12,500) from holding Heungkuk Metaltech CoLtd or give up 2.55% of portfolio value over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Weak |
| Accuracy | 100.0% |
| Values | Daily Returns |
FNSTech Co vs. Heungkuk Metaltech CoLtd
Performance |
| Timeline |
| FNSTech |
| Heungkuk Metaltech CoLtd |
FNSTech and Heungkuk Metaltech Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with FNSTech and Heungkuk Metaltech
The main advantage of trading using opposite FNSTech and Heungkuk Metaltech positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if FNSTech position performs unexpectedly, Heungkuk Metaltech 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 Heungkuk Metaltech will offset losses from the drop in Heungkuk Metaltech's long position.| FNSTech vs. Samsung Electronics Co | FNSTech vs. Samsung Electronics Co | FNSTech vs. LG Energy Solution | FNSTech vs. SK Hynix |
| Heungkuk Metaltech vs. Kaonmedia Co | Heungkuk Metaltech vs. MEDIANA CoLtd | Heungkuk Metaltech vs. Pan Entertainment Co | Heungkuk Metaltech vs. Samyang Foods 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 Pattern Recognition module to use different Pattern Recognition models to time the market across multiple global exchanges.
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