Correlation Between Wonbang Tech and Daewoo SBI
Can any of the company-specific risk be diversified away by investing in both Wonbang Tech and Daewoo SBI 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 Wonbang Tech and Daewoo SBI into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Wonbang Tech Co and Daewoo SBI SPAC, you can compare the effects of market volatilities on Wonbang Tech and Daewoo SBI 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 Wonbang Tech with a short position of Daewoo SBI. Check out your portfolio center. Please also check ongoing floating volatility patterns of Wonbang Tech and Daewoo SBI.
Diversification Opportunities for Wonbang Tech and Daewoo SBI
0.11 | Correlation Coefficient |
Average diversification
The 3 months correlation between Wonbang and Daewoo is 0.11. Overlapping area represents the amount of risk that can be diversified away by holding Wonbang Tech Co and Daewoo SBI SPAC in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Daewoo SBI SPAC and Wonbang Tech 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 Wonbang Tech Co are associated (or correlated) with Daewoo SBI. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Daewoo SBI SPAC has no effect on the direction of Wonbang Tech i.e., Wonbang Tech and Daewoo SBI go up and down completely randomly.
Pair Corralation between Wonbang Tech and Daewoo SBI
Assuming the 90 days trading horizon Wonbang Tech Co is expected to generate 1.52 times more return on investment than Daewoo SBI. However, Wonbang Tech is 1.52 times more volatile than Daewoo SBI SPAC. It trades about 0.13 of its potential returns per unit of risk. Daewoo SBI SPAC is currently generating about -0.18 per unit of risk. If you would invest 1,248,000 in Wonbang Tech Co on November 3, 2024 and sell it today you would earn a total of 77,000 from holding Wonbang Tech Co or generate 6.17% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Insignificant |
| Accuracy | 100.0% |
| Values | Daily Returns |
Wonbang Tech Co vs. Daewoo SBI SPAC
Performance |
| Timeline |
| Wonbang Tech |
| Daewoo SBI SPAC |
Wonbang Tech and Daewoo SBI Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Wonbang Tech and Daewoo SBI
The main advantage of trading using opposite Wonbang Tech and Daewoo SBI positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Wonbang Tech position performs unexpectedly, Daewoo SBI 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 Daewoo SBI will offset losses from the drop in Daewoo SBI's long position.| Wonbang Tech vs. Seohee Construction Co | Wonbang Tech vs. MediaZen | Wonbang Tech vs. Tuksu Engineering ConstructionLtd | Wonbang Tech vs. SEOJEON ELECTRIC MACHINERY |
| Daewoo SBI vs. Automobile Pc | Daewoo SBI vs. Daejung Chemicals Metals | Daewoo SBI vs. Formetal Co | Daewoo SBI vs. Korea Information Communications |
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 Pattern Recognition module to use different Pattern Recognition models to time the market across multiple global exchanges.
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