Correlation Between BGF Retail and DB Financial
Can any of the company-specific risk be diversified away by investing in both BGF Retail and DB Financial 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 BGF Retail and DB Financial into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between BGF Retail Co and DB Financial Investment, you can compare the effects of market volatilities on BGF Retail and DB Financial 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 BGF Retail with a short position of DB Financial. Check out your portfolio center. Please also check ongoing floating volatility patterns of BGF Retail and DB Financial.
Diversification Opportunities for BGF Retail and DB Financial
0.51 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between BGF and 016610 is 0.51. Overlapping area represents the amount of risk that can be diversified away by holding BGF Retail Co and DB Financial Investment in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on DB Financial Investment and BGF Retail 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 BGF Retail Co are associated (or correlated) with DB Financial. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of DB Financial Investment has no effect on the direction of BGF Retail i.e., BGF Retail and DB Financial go up and down completely randomly.
Pair Corralation between BGF Retail and DB Financial
Assuming the 90 days trading horizon BGF Retail Co is expected to under-perform the DB Financial. But the stock apears to be less risky and, when comparing its historical volatility, BGF Retail Co is 1.06 times less risky than DB Financial. The stock trades about -0.12 of its potential returns per unit of risk. The DB Financial Investment is currently generating about -0.1 of returns per unit of risk over similar time horizon. If you would invest 610,000 in DB Financial Investment on September 13, 2024 and sell it today you would lose (82,000) from holding DB Financial Investment or give up 13.44% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
BGF Retail Co vs. DB Financial Investment
Performance |
Timeline |
BGF Retail |
DB Financial Investment |
BGF Retail and DB Financial Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with BGF Retail and DB Financial
The main advantage of trading using opposite BGF Retail and DB Financial positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if BGF Retail position performs unexpectedly, DB Financial 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 DB Financial will offset losses from the drop in DB Financial's long position.BGF Retail vs. Korea New Network | BGF Retail vs. ICD Co | BGF Retail vs. DYPNF CoLtd | BGF Retail vs. Solution Advanced Technology |
DB Financial vs. KB Financial Group | DB Financial vs. Shinhan Financial Group | DB Financial vs. Hana Financial | DB Financial vs. Woori Financial Group |
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 Headlines Timeline module to stay connected to all market stories and filter out noise. Drill down to analyze hype elasticity.
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