Correlation Between Global Standard and DB Financial
Can any of the company-specific risk be diversified away by investing in both Global Standard 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 Global Standard and DB Financial into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Global Standard Technology and DB Financial Investment, you can compare the effects of market volatilities on Global Standard 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 Global Standard with a short position of DB Financial. Check out your portfolio center. Please also check ongoing floating volatility patterns of Global Standard and DB Financial.
Diversification Opportunities for Global Standard and DB Financial
0.82 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between Global and 016610 is 0.82. Overlapping area represents the amount of risk that can be diversified away by holding Global Standard Technology 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 Global Standard 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 Global Standard Technology 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 Global Standard i.e., Global Standard and DB Financial go up and down completely randomly.
Pair Corralation between Global Standard and DB Financial
Assuming the 90 days trading horizon Global Standard Technology is expected to generate 3.07 times more return on investment than DB Financial. However, Global Standard is 3.07 times more volatile than DB Financial Investment. It trades about 0.12 of its potential returns per unit of risk. DB Financial Investment is currently generating about 0.15 per unit of risk. If you would invest 1,628,000 in Global Standard Technology on December 25, 2024 and sell it today you would earn a total of 327,000 from holding Global Standard Technology or generate 20.09% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Global Standard Technology vs. DB Financial Investment
Performance |
Timeline |
Global Standard Tech |
DB Financial Investment |
Global Standard and DB Financial Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Global Standard and DB Financial
The main advantage of trading using opposite Global Standard and DB Financial positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Global Standard 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.Global Standard vs. ECSTELECOM Co | Global Standard vs. Lotte Data Communication | Global Standard vs. Kisan Telecom Co | Global Standard vs. Nice Information Telecommunication |
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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 Sectors module to list of equity sectors categorizing publicly traded companies based on their primary business activities.
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