Correlation Between SPBVL Peru and Athens General
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By analyzing existing cross correlation between SPBVL Peru General and Athens General Composite, you can compare the effects of market volatilities on SPBVL Peru and Athens General 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 SPBVL Peru with a short position of Athens General. Check out your portfolio center. Please also check ongoing floating volatility patterns of SPBVL Peru and Athens General.
Diversification Opportunities for SPBVL Peru and Athens General
-0.45 | Correlation Coefficient |
Very good diversification
The 3 months correlation between SPBVL and Athens is -0.45. Overlapping area represents the amount of risk that can be diversified away by holding SPBVL Peru General and Athens General Composite in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Athens General Composite and SPBVL Peru 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 SPBVL Peru General are associated (or correlated) with Athens General. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Athens General Composite has no effect on the direction of SPBVL Peru i.e., SPBVL Peru and Athens General go up and down completely randomly.
Pair Corralation between SPBVL Peru and Athens General
Assuming the 90 days trading horizon SPBVL Peru General is expected to generate 1.08 times more return on investment than Athens General. However, SPBVL Peru is 1.08 times more volatile than Athens General Composite. It trades about 0.07 of its potential returns per unit of risk. Athens General Composite is currently generating about -0.08 per unit of risk. If you would invest 2,872,112 in SPBVL Peru General on September 1, 2024 and sell it today you would earn a total of 98,454 from holding SPBVL Peru General or generate 3.43% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 98.44% |
Values | Daily Returns |
SPBVL Peru General vs. Athens General Composite
Performance |
Timeline |
SPBVL Peru and Athens General Volatility Contrast
Predicted Return Density |
Returns |
SPBVL Peru General
Pair trading matchups for SPBVL Peru
Athens General Composite
Pair trading matchups for Athens General
Pair Trading with SPBVL Peru and Athens General
The main advantage of trading using opposite SPBVL Peru and Athens General positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if SPBVL Peru position performs unexpectedly, Athens General 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 Athens General will offset losses from the drop in Athens General's long position.The idea behind SPBVL Peru General and Athens General Composite pairs trading is to make the combined position market-neutral, meaning the overall market's direction will not affect its win or loss (or potential downside or upside). This can be achieved by designing a pairs trade with two highly correlated stocks or equities that operate in a similar space or sector, making it possible to obtain profits through simple and relatively low-risk investment.Athens General vs. Profile Systems Software | Athens General vs. Eurobank Ergasias Services | Athens General vs. Daios Plastics SA | Athens General vs. Sidma SA Steel |
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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