Correlation Between THE PHILIPPINE and SPBVL Peru

Can any of the company-specific risk be diversified away by investing in both THE PHILIPPINE and SPBVL Peru 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 THE PHILIPPINE and SPBVL Peru into the same portfolio, which is an essential part of the fundamental portfolio management process.

By analyzing existing cross correlation between THE PHILIPPINE STOCK and SPBVL Peru General, you can compare the effects of market volatilities on THE PHILIPPINE and SPBVL Peru 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 THE PHILIPPINE with a short position of SPBVL Peru. Check out your portfolio center. Please also check ongoing floating volatility patterns of THE PHILIPPINE and SPBVL Peru.

Diversification Opportunities for THE PHILIPPINE and SPBVL Peru

0.27

Correlation Coefficient

THE PHILIPPINE  SPBVL Peru

Modest diversification

The 3 months correlation between THE and SPBVL is 0.27. Overlapping area represents the amount of risk that can be diversified away by holding THE PHILIPPINE STOCK and SPBVL Peru General in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on SPBVL Peru General and THE PHILIPPINE 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 THE PHILIPPINE STOCK are associated (or correlated) with SPBVL Peru. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of SPBVL Peru General has no effect on the direction of THE PHILIPPINE i.e., THE PHILIPPINE and SPBVL Peru go up and down completely randomly.

Pair Corralation between THE PHILIPPINE and SPBVL Peru

Assuming the 90 days trading horizon THE PHILIPPINE STOCK is expected to under-perform the SPBVL Peru. In addition to that, THE PHILIPPINE is 2.63 times more volatile than SPBVL Peru General. It trades about -0.25 of its total potential returns per unit of risk. SPBVL Peru General is currently generating about -0.31 per unit of volatility. If you would invest  3,100,973  in SPBVL Peru General on August 30, 2024 and sell it today you would lose (109,300) from holding SPBVL Peru General or give up 3.52% of portfolio value over 90 days.

Time Period	3 Months [change]
Direction	Moves Together
Strength	Very Weak
Accuracy	100.0%
Values	Daily Returns

THE PHILIPPINE STOCK  vs.  SPBVL Peru General

Pair Trading with THE PHILIPPINE and SPBVL Peru

The main advantage of trading using opposite THE PHILIPPINE and SPBVL Peru positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if THE PHILIPPINE position performs unexpectedly, SPBVL Peru 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 SPBVL Peru will offset losses from the drop in SPBVL Peru's long position.

The idea behind THE PHILIPPINE STOCK and SPBVL Peru General 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.

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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 Volatility Analysis module to get historical volatility and risk analysis based on latest market data.