Correlation Between Busan Industrial and Samsung Asset
Can any of the company-specific risk be diversified away by investing in both Busan Industrial and Samsung Asset 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 Busan Industrial and Samsung Asset into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Busan Industrial Co and Samsung Asset Management, you can compare the effects of market volatilities on Busan Industrial and Samsung Asset 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 Busan Industrial with a short position of Samsung Asset. Check out your portfolio center. Please also check ongoing floating volatility patterns of Busan Industrial and Samsung Asset.
Diversification Opportunities for Busan Industrial and Samsung Asset
0.68 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Busan and Samsung is 0.68. Overlapping area represents the amount of risk that can be diversified away by holding Busan Industrial Co and Samsung Asset Management in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Samsung Asset Management and Busan Industrial 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 Busan Industrial Co are associated (or correlated) with Samsung Asset. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Samsung Asset Management has no effect on the direction of Busan Industrial i.e., Busan Industrial and Samsung Asset go up and down completely randomly.
Pair Corralation between Busan Industrial and Samsung Asset
Assuming the 90 days trading horizon Busan Industrial Co is expected to under-perform the Samsung Asset. In addition to that, Busan Industrial is 2.35 times more volatile than Samsung Asset Management. It trades about -0.01 of its total potential returns per unit of risk. Samsung Asset Management is currently generating about 0.1 per unit of volatility. If you would invest 947,263 in Samsung Asset Management on September 2, 2024 and sell it today you would earn a total of 690,737 from holding Samsung Asset Management or generate 72.92% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Busan Industrial Co vs. Samsung Asset Management
Performance |
Timeline |
Busan Industrial |
Samsung Asset Management |
Busan Industrial and Samsung Asset Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Busan Industrial and Samsung Asset
The main advantage of trading using opposite Busan Industrial and Samsung Asset positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Busan Industrial position performs unexpectedly, Samsung Asset 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 Samsung Asset will offset losses from the drop in Samsung Asset's long position.Busan Industrial vs. AptaBio Therapeutics | Busan Industrial vs. Daewoo SBI SPAC | Busan Industrial vs. Dream Security co | Busan Industrial vs. Microfriend |
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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 Portfolio Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.
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