Correlation Between Eastern Commercial and Finansa Public
Can any of the company-specific risk be diversified away by investing in both Eastern Commercial and Finansa Public 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 Eastern Commercial and Finansa Public into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Eastern Commercial Leasing and Finansa Public, you can compare the effects of market volatilities on Eastern Commercial and Finansa Public 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 Eastern Commercial with a short position of Finansa Public. Check out your portfolio center. Please also check ongoing floating volatility patterns of Eastern Commercial and Finansa Public.
Diversification Opportunities for Eastern Commercial and Finansa Public
0.8 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between Eastern and Finansa is 0.8. Overlapping area represents the amount of risk that can be diversified away by holding Eastern Commercial Leasing and Finansa Public in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Finansa Public and Eastern Commercial 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 Eastern Commercial Leasing are associated (or correlated) with Finansa Public. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Finansa Public has no effect on the direction of Eastern Commercial i.e., Eastern Commercial and Finansa Public go up and down completely randomly.
Pair Corralation between Eastern Commercial and Finansa Public
Assuming the 90 days trading horizon Eastern Commercial Leasing is expected to generate 1.0 times more return on investment than Finansa Public. However, Eastern Commercial Leasing is 1.0 times less risky than Finansa Public. It trades about 0.13 of its potential returns per unit of risk. Finansa Public is currently generating about 0.12 per unit of risk. If you would invest 0.00 in Eastern Commercial Leasing on September 3, 2024 and sell it today you would earn a total of 113.00 from holding Eastern Commercial Leasing or generate 9.223372036854776E16% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Eastern Commercial Leasing vs. Finansa Public
Performance |
Timeline |
Eastern Commercial |
Finansa Public |
Eastern Commercial and Finansa Public Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Eastern Commercial and Finansa Public
The main advantage of trading using opposite Eastern Commercial and Finansa Public positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Eastern Commercial position performs unexpectedly, Finansa Public 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 Finansa Public will offset losses from the drop in Finansa Public's long position.Eastern Commercial vs. Thai Steel Cable | Eastern Commercial vs. Tropical Canning Public | Eastern Commercial vs. RB Food Supply | Eastern Commercial vs. Eureka Design Public |
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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 Insider Screener module to find insiders across different sectors to evaluate their impact on performance.
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