Correlation Between SV Investment and Korea Electric
Can any of the company-specific risk be diversified away by investing in both SV Investment and Korea Electric 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 SV Investment and Korea Electric into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between SV Investment and Korea Electric Power, you can compare the effects of market volatilities on SV Investment and Korea Electric 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 SV Investment with a short position of Korea Electric. Check out your portfolio center. Please also check ongoing floating volatility patterns of SV Investment and Korea Electric.
Diversification Opportunities for SV Investment and Korea Electric
-0.18 | Correlation Coefficient |
Good diversification
The 3 months correlation between 289080 and Korea is -0.18. Overlapping area represents the amount of risk that can be diversified away by holding SV Investment and Korea Electric Power in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Korea Electric Power and SV Investment 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 SV Investment are associated (or correlated) with Korea Electric. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Korea Electric Power has no effect on the direction of SV Investment i.e., SV Investment and Korea Electric go up and down completely randomly.
Pair Corralation between SV Investment and Korea Electric
Assuming the 90 days trading horizon SV Investment is expected to generate 1.39 times more return on investment than Korea Electric. However, SV Investment is 1.39 times more volatile than Korea Electric Power. It trades about -0.1 of its potential returns per unit of risk. Korea Electric Power is currently generating about -0.14 per unit of risk. If you would invest 157,800 in SV Investment on October 7, 2024 and sell it today you would lose (21,700) from holding SV Investment or give up 13.75% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
SV Investment vs. Korea Electric Power
Performance |
Timeline |
SV Investment |
Korea Electric Power |
SV Investment and Korea Electric Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with SV Investment and Korea Electric
The main advantage of trading using opposite SV Investment and Korea Electric positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if SV Investment position performs unexpectedly, Korea Electric 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 Korea Electric will offset losses from the drop in Korea Electric's long position.SV Investment vs. Daewoo Electronic Components | SV Investment vs. Digital Power Communications | SV Investment vs. Dongbang Transport Logistics | SV Investment vs. Lotte Data Communication |
Korea Electric vs. Yura Tech Co | Korea Electric vs. Jin Air Co | Korea Electric vs. Sewoon Medical Co | Korea Electric vs. PNC Technologies 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 Portfolio Diagnostics module to use generated alerts and portfolio events aggregator to diagnose current holdings.
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