Correlation Between Korean Drug and Digital Power
Can any of the company-specific risk be diversified away by investing in both Korean Drug and Digital Power 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 Korean Drug and Digital Power into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Korean Drug Co and Digital Power Communications, you can compare the effects of market volatilities on Korean Drug and Digital Power 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 Korean Drug with a short position of Digital Power. Check out your portfolio center. Please also check ongoing floating volatility patterns of Korean Drug and Digital Power.
Diversification Opportunities for Korean Drug and Digital Power
0.8 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between Korean and Digital is 0.8. Overlapping area represents the amount of risk that can be diversified away by holding Korean Drug Co and Digital Power Communications in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Digital Power Commun and Korean Drug 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 Korean Drug Co are associated (or correlated) with Digital Power. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Digital Power Commun has no effect on the direction of Korean Drug i.e., Korean Drug and Digital Power go up and down completely randomly.
Pair Corralation between Korean Drug and Digital Power
Assuming the 90 days trading horizon Korean Drug Co is expected to under-perform the Digital Power. But the stock apears to be less risky and, when comparing its historical volatility, Korean Drug Co is 1.54 times less risky than Digital Power. The stock trades about -0.22 of its potential returns per unit of risk. The Digital Power Communications is currently generating about 0.02 of returns per unit of risk over similar time horizon. If you would invest 796,000 in Digital Power Communications on August 29, 2024 and sell it today you would earn a total of 4,000 from holding Digital Power Communications or generate 0.5% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Strong |
| Accuracy | 95.65% |
| Values | Daily Returns |
Korean Drug Co vs. Digital Power Communications
Performance |
| Timeline |
| Korean Drug |
| Digital Power Commun |
Korean Drug and Digital Power Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Korean Drug and Digital Power
The main advantage of trading using opposite Korean Drug and Digital Power positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Korean Drug position performs unexpectedly, Digital Power 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 Digital Power will offset losses from the drop in Digital Power's long position.| Korean Drug vs. AnterogenCoLtd | Korean Drug vs. Busan Industrial Co | Korean Drug vs. Busan Ind | Korean Drug vs. Shinhan WTI Futures |
| Digital Power vs. FNC Entertainment Co | Digital Power vs. Echomarketing CoLtd | Digital Power vs. GS Retail Co | Digital Power vs. Nasmedia 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 Risk-Return Analysis module to view associations between returns expected from investment and the risk you assume.
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