Correlation Between Castle Peak and Central Pattana
Can any of the company-specific risk be diversified away by investing in both Castle Peak and Central Pattana 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 Castle Peak and Central Pattana into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Castle Peak Holdings and Central Pattana Public, you can compare the effects of market volatilities on Castle Peak and Central Pattana 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 Castle Peak with a short position of Central Pattana. Check out your portfolio center. Please also check ongoing floating volatility patterns of Castle Peak and Central Pattana.
Diversification Opportunities for Castle Peak and Central Pattana
0.69 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Castle and Central is 0.69. Overlapping area represents the amount of risk that can be diversified away by holding Castle Peak Holdings and Central Pattana Public in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Central Pattana Public and Castle Peak 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 Castle Peak Holdings are associated (or correlated) with Central Pattana. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Central Pattana Public has no effect on the direction of Castle Peak i.e., Castle Peak and Central Pattana go up and down completely randomly.
Pair Corralation between Castle Peak and Central Pattana
Assuming the 90 days trading horizon Castle Peak Holdings is expected to generate 43.29 times more return on investment than Central Pattana. However, Castle Peak is 43.29 times more volatile than Central Pattana Public. It trades about 0.05 of its potential returns per unit of risk. Central Pattana Public is currently generating about -0.01 per unit of risk. If you would invest 1,253 in Castle Peak Holdings on September 4, 2024 and sell it today you would lose (268.00) from holding Castle Peak Holdings or give up 21.39% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Castle Peak Holdings vs. Central Pattana Public
Performance |
Timeline |
Castle Peak Holdings |
Central Pattana Public |
Castle Peak and Central Pattana Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Castle Peak and Central Pattana
The main advantage of trading using opposite Castle Peak and Central Pattana positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Castle Peak position performs unexpectedly, Central Pattana 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 Central Pattana will offset losses from the drop in Central Pattana's long position.Castle Peak vs. Central Pattana Public | Castle Peak vs. CP ALL Public | Castle Peak vs. Bangkok Dusit Medical | Castle Peak vs. Airports of Thailand |
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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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