Correlation Between DB Financial and Genie Music
Can any of the company-specific risk be diversified away by investing in both DB Financial and Genie Music 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 DB Financial and Genie Music into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between DB Financial Investment and Genie Music, you can compare the effects of market volatilities on DB Financial and Genie Music 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 DB Financial with a short position of Genie Music. Check out your portfolio center. Please also check ongoing floating volatility patterns of DB Financial and Genie Music.
Diversification Opportunities for DB Financial and Genie Music
0.31 | Correlation Coefficient |
Weak diversification
The 3 months correlation between 016610 and Genie is 0.31. Overlapping area represents the amount of risk that can be diversified away by holding DB Financial Investment and Genie Music in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Genie Music and DB Financial 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 DB Financial Investment are associated (or correlated) with Genie Music. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Genie Music has no effect on the direction of DB Financial i.e., DB Financial and Genie Music go up and down completely randomly.
Pair Corralation between DB Financial and Genie Music
Assuming the 90 days trading horizon DB Financial Investment is expected to under-perform the Genie Music. But the stock apears to be less risky and, when comparing its historical volatility, DB Financial Investment is 1.8 times less risky than Genie Music. The stock trades about -0.1 of its potential returns per unit of risk. The Genie Music is currently generating about -0.01 of returns per unit of risk over similar time horizon. If you would invest 221,000 in Genie Music on September 13, 2024 and sell it today you would lose (13,000) from holding Genie Music or give up 5.88% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 98.31% |
Values | Daily Returns |
DB Financial Investment vs. Genie Music
Performance |
Timeline |
DB Financial Investment |
Genie Music |
DB Financial and Genie Music Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with DB Financial and Genie Music
The main advantage of trading using opposite DB Financial and Genie Music positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if DB Financial position performs unexpectedly, Genie Music 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 Genie Music will offset losses from the drop in Genie Music's long position.DB Financial vs. KB Financial Group | DB Financial vs. Shinhan Financial Group | DB Financial vs. Hana Financial | DB Financial vs. Woori Financial Group |
Genie Music vs. YG Entertainment | Genie Music vs. JYP Entertainment | Genie Music vs. Cube Entertainment | Genie Music vs. FNC Entertainment 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 Equity Valuation module to check real value of public entities based on technical and fundamental data.
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