Correlation Between CTBC Financial and Skardin Industrial
Can any of the company-specific risk be diversified away by investing in both CTBC Financial and Skardin 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 CTBC Financial and Skardin Industrial into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between CTBC Financial Holding and Skardin Industrial, you can compare the effects of market volatilities on CTBC Financial and Skardin 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 CTBC Financial with a short position of Skardin Industrial. Check out your portfolio center. Please also check ongoing floating volatility patterns of CTBC Financial and Skardin Industrial.
Diversification Opportunities for CTBC Financial and Skardin Industrial
-0.44 | Correlation Coefficient |
Very good diversification
The 3 months correlation between CTBC and Skardin is -0.44. Overlapping area represents the amount of risk that can be diversified away by holding CTBC Financial Holding and Skardin Industrial in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Skardin Industrial and CTBC Financial 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 CTBC Financial Holding are associated (or correlated) with Skardin Industrial. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Skardin Industrial has no effect on the direction of CTBC Financial i.e., CTBC Financial and Skardin Industrial go up and down completely randomly.
Pair Corralation between CTBC Financial and Skardin Industrial
Assuming the 90 days trading horizon CTBC Financial Holding is expected to generate 0.05 times more return on investment than Skardin Industrial. However, CTBC Financial Holding is 19.68 times less risky than Skardin Industrial. It trades about 0.76 of its potential returns per unit of risk. Skardin Industrial is currently generating about -0.2 per unit of risk. If you would invest 6,110 in CTBC Financial Holding on October 9, 2024 and sell it today you would earn a total of 160.00 from holding CTBC Financial Holding or generate 2.62% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
CTBC Financial Holding vs. Skardin Industrial
Performance |
Timeline |
CTBC Financial Holding |
Skardin Industrial |
CTBC Financial and Skardin Industrial Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with CTBC Financial and Skardin Industrial
The main advantage of trading using opposite CTBC Financial and Skardin Industrial positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if CTBC Financial position performs unexpectedly, Skardin 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 Skardin Industrial will offset losses from the drop in Skardin Industrial's long position.CTBC Financial vs. Wistron Information Technology | CTBC Financial vs. Chailease Holding Co | CTBC Financial vs. Skardin Industrial | CTBC Financial vs. Mercuries Data Systems |
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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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