Correlation Between Korea Investment and Bosung Power
Can any of the company-specific risk be diversified away by investing in both Korea Investment and Bosung Power 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 Korea Investment and Bosung Power into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Korea Investment Holdings and Bosung Power Technology, you can compare the effects of market volatilities on Korea Investment and Bosung Power 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 Korea Investment with a short position of Bosung Power. Check out your portfolio center. Please also check ongoing floating volatility patterns of Korea Investment and Bosung Power.
Diversification Opportunities for Korea Investment and Bosung Power
-0.63 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between Korea and Bosung is -0.63. Overlapping area represents the amount of risk that can be diversified away by holding Korea Investment Holdings and Bosung Power Technology in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Bosung Power Technology and Korea Investment 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 Korea Investment Holdings are associated (or correlated) with Bosung Power. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Bosung Power Technology has no effect on the direction of Korea Investment i.e., Korea Investment and Bosung Power go up and down completely randomly.
Pair Corralation between Korea Investment and Bosung Power
Assuming the 90 days trading horizon Korea Investment Holdings is expected to generate 0.57 times more return on investment than Bosung Power. However, Korea Investment Holdings is 1.76 times less risky than Bosung Power. It trades about 0.0 of its potential returns per unit of risk. Bosung Power Technology is currently generating about -0.16 per unit of risk. If you would invest 5,320,000 in Korea Investment Holdings on September 27, 2024 and sell it today you would lose (30,000) from holding Korea Investment Holdings or give up 0.56% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Korea Investment Holdings vs. Bosung Power Technology
Performance |
Timeline |
Korea Investment Holdings |
Bosung Power Technology |
Korea Investment and Bosung Power Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Korea Investment and Bosung Power
The main advantage of trading using opposite Korea Investment and Bosung Power positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Korea Investment position performs unexpectedly, Bosung Power 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 Bosung Power will offset losses from the drop in Bosung Power's long position.Korea Investment vs. Hyunwoo Industrial Co | Korea Investment vs. Kumho Industrial Co | Korea Investment vs. Namhwa Industrial Co | Korea Investment vs. iNtRON Biotechnology |
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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 Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.
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