Correlation Between King Chou and Baotek Industrial
Can any of the company-specific risk be diversified away by investing in both King Chou and Baotek Industrial 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 King Chou and Baotek Industrial into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between King Chou Marine and Baotek Industrial Materials, you can compare the effects of market volatilities on King Chou and Baotek Industrial 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 King Chou with a short position of Baotek Industrial. Check out your portfolio center. Please also check ongoing floating volatility patterns of King Chou and Baotek Industrial.
Diversification Opportunities for King Chou and Baotek Industrial
0.3 | Correlation Coefficient |
Weak diversification
The 3 months correlation between King and Baotek is 0.3. Overlapping area represents the amount of risk that can be diversified away by holding King Chou Marine and Baotek Industrial Materials in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Baotek Industrial and King Chou 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 King Chou Marine are associated (or correlated) with Baotek Industrial. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Baotek Industrial has no effect on the direction of King Chou i.e., King Chou and Baotek Industrial go up and down completely randomly.
Pair Corralation between King Chou and Baotek Industrial
Assuming the 90 days trading horizon King Chou Marine is expected to generate 0.27 times more return on investment than Baotek Industrial. However, King Chou Marine is 3.65 times less risky than Baotek Industrial. It trades about 0.05 of its potential returns per unit of risk. Baotek Industrial Materials is currently generating about -0.04 per unit of risk. If you would invest 3,905 in King Chou Marine on September 18, 2024 and sell it today you would earn a total of 245.00 from holding King Chou Marine or generate 6.27% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
King Chou Marine vs. Baotek Industrial Materials
Performance |
Timeline |
King Chou Marine |
Baotek Industrial |
King Chou and Baotek Industrial Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with King Chou and Baotek Industrial
The main advantage of trading using opposite King Chou and Baotek Industrial positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if King Chou position performs unexpectedly, Baotek Industrial 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 Baotek Industrial will offset losses from the drop in Baotek Industrial's long position.King Chou vs. Eclat Textile Co | King Chou vs. Ruentex Industries | King Chou vs. Shinkong Synthetic Fiber | King Chou vs. Taiwan Paiho |
Baotek Industrial vs. Eclat Textile Co | Baotek Industrial vs. Ruentex Industries | Baotek Industrial vs. Shinkong Synthetic Fiber | Baotek Industrial vs. Taiwan Paiho |
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 ETF Categories module to list of ETF categories grouped based on various criteria, such as the investment strategy or type of investments.
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