Correlation Between DB Insurance and Company K
Can any of the company-specific risk be diversified away by investing in both DB Insurance and Company K 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 Insurance and Company K into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between DB Insurance Co and Company K Partners, you can compare the effects of market volatilities on DB Insurance and Company K 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 Insurance with a short position of Company K. Check out your portfolio center. Please also check ongoing floating volatility patterns of DB Insurance and Company K.
Diversification Opportunities for DB Insurance and Company K
-0.36 | Correlation Coefficient |
Very good diversification
The 3 months correlation between 005830 and Company is -0.36. Overlapping area represents the amount of risk that can be diversified away by holding DB Insurance Co and Company K Partners in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Company K Partners and DB Insurance 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 Insurance Co are associated (or correlated) with Company K. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Company K Partners has no effect on the direction of DB Insurance i.e., DB Insurance and Company K go up and down completely randomly.
Pair Corralation between DB Insurance and Company K
Assuming the 90 days trading horizon DB Insurance Co is expected to under-perform the Company K. But the stock apears to be less risky and, when comparing its historical volatility, DB Insurance Co is 1.33 times less risky than Company K. The stock trades about -0.05 of its potential returns per unit of risk. The Company K Partners is currently generating about 0.04 of returns per unit of risk over similar time horizon. If you would invest 494,000 in Company K Partners on December 24, 2024 and sell it today you would earn a total of 21,000 from holding Company K Partners or generate 4.25% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 98.28% |
Values | Daily Returns |
DB Insurance Co vs. Company K Partners
Performance |
Timeline |
DB Insurance |
Company K Partners |
DB Insurance and Company K Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with DB Insurance and Company K
The main advantage of trading using opposite DB Insurance and Company K positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if DB Insurance position performs unexpectedly, Company K 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 Company K will offset losses from the drop in Company K's long position.DB Insurance vs. Hyunwoo Industrial Co | DB Insurance vs. Camus Engineering Construction | DB Insurance vs. Daewoo Engineering Construction | DB Insurance vs. Haesung Industrial Co |
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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 Sync Your Broker module to sync your existing holdings, watchlists, positions or portfolios from thousands of online brokerage services, banks, investment account aggregators and robo-advisors..
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