Correlation Between DB Financial and SBI Investment
Can any of the company-specific risk be diversified away by investing in both DB Financial and SBI Investment 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 SBI Investment 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 SBI Investment KOREA, you can compare the effects of market volatilities on DB Financial and SBI Investment 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 SBI Investment. Check out your portfolio center. Please also check ongoing floating volatility patterns of DB Financial and SBI Investment.
Diversification Opportunities for DB Financial and SBI Investment
-0.12 | Correlation Coefficient |
Good diversification
The 3 months correlation between 016610 and SBI is -0.12. Overlapping area represents the amount of risk that can be diversified away by holding DB Financial Investment and SBI Investment KOREA in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on SBI Investment KOREA 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 SBI Investment. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of SBI Investment KOREA has no effect on the direction of DB Financial i.e., DB Financial and SBI Investment go up and down completely randomly.
Pair Corralation between DB Financial and SBI Investment
Assuming the 90 days trading horizon DB Financial Investment is expected to under-perform the SBI Investment. But the stock apears to be less risky and, when comparing its historical volatility, DB Financial Investment is 2.1 times less risky than SBI Investment. The stock trades about -0.12 of its potential returns per unit of risk. The SBI Investment KOREA is currently generating about 0.12 of returns per unit of risk over similar time horizon. If you would invest 65,800 in SBI Investment KOREA on August 28, 2024 and sell it today you would earn a total of 4,400 from holding SBI Investment KOREA or generate 6.69% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
DB Financial Investment vs. SBI Investment KOREA
Performance |
Timeline |
DB Financial Investment |
SBI Investment KOREA |
DB Financial and SBI Investment Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with DB Financial and SBI Investment
The main advantage of trading using opposite DB Financial and SBI Investment positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if DB Financial position performs unexpectedly, SBI Investment 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 SBI Investment will offset losses from the drop in SBI Investment's long position.DB Financial vs. Innowireless Co | DB Financial vs. KyungIn Electronics Co | DB Financial vs. PJ Metal Co | DB Financial vs. Wireless Power Amplifier |
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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 Volatility Analysis module to get historical volatility and risk analysis based on latest market data.
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