Correlation Between Central Reinsurance and Weltrend Semiconductor
Can any of the company-specific risk be diversified away by investing in both Central Reinsurance and Weltrend Semiconductor 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 Central Reinsurance and Weltrend Semiconductor into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Central Reinsurance Corp and Weltrend Semiconductor, you can compare the effects of market volatilities on Central Reinsurance and Weltrend Semiconductor 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 Central Reinsurance with a short position of Weltrend Semiconductor. Check out your portfolio center. Please also check ongoing floating volatility patterns of Central Reinsurance and Weltrend Semiconductor.
Diversification Opportunities for Central Reinsurance and Weltrend Semiconductor
0.32 | Correlation Coefficient |
Weak diversification
The 3 months correlation between Central and Weltrend is 0.32. Overlapping area represents the amount of risk that can be diversified away by holding Central Reinsurance Corp and Weltrend Semiconductor in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Weltrend Semiconductor and Central Reinsurance 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 Central Reinsurance Corp are associated (or correlated) with Weltrend Semiconductor. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Weltrend Semiconductor has no effect on the direction of Central Reinsurance i.e., Central Reinsurance and Weltrend Semiconductor go up and down completely randomly.
Pair Corralation between Central Reinsurance and Weltrend Semiconductor
Assuming the 90 days trading horizon Central Reinsurance Corp is expected to generate 0.5 times more return on investment than Weltrend Semiconductor. However, Central Reinsurance Corp is 2.0 times less risky than Weltrend Semiconductor. It trades about 0.2 of its potential returns per unit of risk. Weltrend Semiconductor is currently generating about 0.05 per unit of risk. If you would invest 2,580 in Central Reinsurance Corp on December 26, 2024 and sell it today you would earn a total of 235.00 from holding Central Reinsurance Corp or generate 9.11% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Central Reinsurance Corp vs. Weltrend Semiconductor
Performance |
Timeline |
Central Reinsurance Corp |
Weltrend Semiconductor |
Central Reinsurance and Weltrend Semiconductor Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Central Reinsurance and Weltrend Semiconductor
The main advantage of trading using opposite Central Reinsurance and Weltrend Semiconductor positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Central Reinsurance position performs unexpectedly, Weltrend Semiconductor 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 Weltrend Semiconductor will offset losses from the drop in Weltrend Semiconductor's long position.Central Reinsurance vs. Asmedia Technology | Central Reinsurance vs. Mechema Chemicals Int | Central Reinsurance vs. Hung Sheng Construction | Central Reinsurance vs. AVerMedia Technologies |
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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