Correlation Between Cars and Singapore ReinsuranceLimit
Can any of the company-specific risk be diversified away by investing in both Cars and Singapore ReinsuranceLimit 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 Cars and Singapore ReinsuranceLimit into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Cars Inc and Singapore Reinsurance, you can compare the effects of market volatilities on Cars and Singapore ReinsuranceLimit 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 Cars with a short position of Singapore ReinsuranceLimit. Check out your portfolio center. Please also check ongoing floating volatility patterns of Cars and Singapore ReinsuranceLimit.
Diversification Opportunities for Cars and Singapore ReinsuranceLimit
0.41 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Cars and Singapore is 0.41. Overlapping area represents the amount of risk that can be diversified away by holding Cars Inc and Singapore Reinsurance in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Singapore ReinsuranceLimit and Cars 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 Cars Inc are associated (or correlated) with Singapore ReinsuranceLimit. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Singapore ReinsuranceLimit has no effect on the direction of Cars i.e., Cars and Singapore ReinsuranceLimit go up and down completely randomly.
Pair Corralation between Cars and Singapore ReinsuranceLimit
Assuming the 90 days horizon Cars Inc is expected to under-perform the Singapore ReinsuranceLimit. But the stock apears to be less risky and, when comparing its historical volatility, Cars Inc is 1.03 times less risky than Singapore ReinsuranceLimit. The stock trades about -0.01 of its potential returns per unit of risk. The Singapore Reinsurance is currently generating about 0.01 of returns per unit of risk over similar time horizon. If you would invest 3,360 in Singapore Reinsurance on December 4, 2024 and sell it today you would lose (400.00) from holding Singapore Reinsurance or give up 11.9% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 99.8% |
Values | Daily Returns |
Cars Inc vs. Singapore Reinsurance
Performance |
Timeline |
Cars Inc |
Singapore ReinsuranceLimit |
Cars and Singapore ReinsuranceLimit Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Cars and Singapore ReinsuranceLimit
The main advantage of trading using opposite Cars and Singapore ReinsuranceLimit positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Cars position performs unexpectedly, Singapore ReinsuranceLimit 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 Singapore ReinsuranceLimit will offset losses from the drop in Singapore ReinsuranceLimit's long position.Cars vs. Taiwan Semiconductor Manufacturing | Cars vs. CHEMICAL INDUSTRIES | Cars vs. X FAB Silicon Foundries | Cars vs. EITZEN CHEMICALS |
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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 Competition Analyzer module to analyze and compare many basic indicators for a group of related or unrelated entities.
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