Correlation Between Philippine Savings and Robinsons Retail
Can any of the company-specific risk be diversified away by investing in both Philippine Savings and Robinsons Retail 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 Philippine Savings and Robinsons Retail into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Philippine Savings Bank and Robinsons Retail Holdings, you can compare the effects of market volatilities on Philippine Savings and Robinsons Retail 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 Philippine Savings with a short position of Robinsons Retail. Check out your portfolio center. Please also check ongoing floating volatility patterns of Philippine Savings and Robinsons Retail.
Diversification Opportunities for Philippine Savings and Robinsons Retail
-0.11 | Correlation Coefficient |
Good diversification
The 3 months correlation between Philippine and Robinsons is -0.11. Overlapping area represents the amount of risk that can be diversified away by holding Philippine Savings Bank and Robinsons Retail Holdings in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Robinsons Retail Holdings and Philippine Savings 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 Philippine Savings Bank are associated (or correlated) with Robinsons Retail. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Robinsons Retail Holdings has no effect on the direction of Philippine Savings i.e., Philippine Savings and Robinsons Retail go up and down completely randomly.
Pair Corralation between Philippine Savings and Robinsons Retail
Assuming the 90 days trading horizon Philippine Savings Bank is expected to generate 1.22 times more return on investment than Robinsons Retail. However, Philippine Savings is 1.22 times more volatile than Robinsons Retail Holdings. It trades about 0.09 of its potential returns per unit of risk. Robinsons Retail Holdings is currently generating about -0.03 per unit of risk. If you would invest 5,525 in Philippine Savings Bank on September 4, 2024 and sell it today you would earn a total of 475.00 from holding Philippine Savings Bank or generate 8.6% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 98.44% |
Values | Daily Returns |
Philippine Savings Bank vs. Robinsons Retail Holdings
Performance |
Timeline |
Philippine Savings Bank |
Robinsons Retail Holdings |
Philippine Savings and Robinsons Retail Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Philippine Savings and Robinsons Retail
The main advantage of trading using opposite Philippine Savings and Robinsons Retail positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Philippine Savings position performs unexpectedly, Robinsons Retail 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 Robinsons Retail will offset losses from the drop in Robinsons Retail's long position.Philippine Savings vs. Figaro Coffee Group | Philippine Savings vs. Jollibee Foods Corp | Philippine Savings vs. COL Financial Group | Philippine Savings vs. Atlas Consolidated Mining |
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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 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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