Correlation Between Busan Industrial and Automobile
Can any of the company-specific risk be diversified away by investing in both Busan Industrial and Automobile 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 Automobile 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 Automobile Pc, you can compare the effects of market volatilities on Busan Industrial and Automobile 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 Automobile. Check out your portfolio center. Please also check ongoing floating volatility patterns of Busan Industrial and Automobile.
Diversification Opportunities for Busan Industrial and Automobile
0.07 | Correlation Coefficient |
Significant diversification
The 3 months correlation between Busan and Automobile is 0.07. Overlapping area represents the amount of risk that can be diversified away by holding Busan Industrial Co and Automobile Pc in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Automobile Pc 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 Automobile. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Automobile Pc has no effect on the direction of Busan Industrial i.e., Busan Industrial and Automobile go up and down completely randomly.
Pair Corralation between Busan Industrial and Automobile
Assuming the 90 days trading horizon Busan Industrial Co is expected to generate 0.94 times more return on investment than Automobile. However, Busan Industrial Co is 1.06 times less risky than Automobile. It trades about 0.07 of its potential returns per unit of risk. Automobile Pc is currently generating about -0.02 per unit of risk. If you would invest 5,110,000 in Busan Industrial Co on August 29, 2024 and sell it today you would earn a total of 570,000 from holding Busan Industrial Co or generate 11.15% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Insignificant |
| Accuracy | 100.0% |
| Values | Daily Returns |
Busan Industrial Co vs. Automobile Pc
Performance |
| Timeline |
| Busan Industrial |
| Automobile Pc |
Busan Industrial and Automobile Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Busan Industrial and Automobile
The main advantage of trading using opposite Busan Industrial and Automobile positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Busan Industrial position performs unexpectedly, Automobile 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 Automobile will offset losses from the drop in Automobile's long position.| Busan Industrial vs. AptaBio Therapeutics | Busan Industrial vs. Daewoo SBI SPAC | Busan Industrial vs. Dream Security co | Busan Industrial vs. Microfriend |
| Automobile vs. Hanwha InvestmentSecurities Co | Automobile vs. Sangsin Energy Display | Automobile vs. Atinum Investment Co | Automobile vs. LB Investment |
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 Economic Indicators module to top statistical indicators that provide insights into how an economy is performing.
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