Correlation Between Block and CLP Holdings
Can any of the company-specific risk be diversified away by investing in both Block and CLP Holdings 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 Block and CLP Holdings into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Block Inc and CLP Holdings, you can compare the effects of market volatilities on Block and CLP Holdings 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 Block with a short position of CLP Holdings. Check out your portfolio center. Please also check ongoing floating volatility patterns of Block and CLP Holdings.
Diversification Opportunities for Block and CLP Holdings
-0.68 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between Block and CLP is -0.68. Overlapping area represents the amount of risk that can be diversified away by holding Block Inc and CLP Holdings in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on CLP Holdings and Block 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 Block Inc are associated (or correlated) with CLP Holdings. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of CLP Holdings has no effect on the direction of Block i.e., Block and CLP Holdings go up and down completely randomly.
Pair Corralation between Block and CLP Holdings
Allowing for the 90-day total investment horizon Block Inc is expected to under-perform the CLP Holdings. In addition to that, Block is 4.41 times more volatile than CLP Holdings. It trades about -0.11 of its total potential returns per unit of risk. CLP Holdings is currently generating about -0.31 per unit of volatility. If you would invest 844.00 in CLP Holdings on October 11, 2024 and sell it today you would lose (38.00) from holding CLP Holdings or give up 4.5% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Block Inc vs. CLP Holdings
Performance |
Timeline |
Block Inc |
CLP Holdings |
Block and CLP Holdings Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Block and CLP Holdings
The main advantage of trading using opposite Block and CLP Holdings positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Block position performs unexpectedly, CLP Holdings 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 CLP Holdings will offset losses from the drop in CLP Holdings' long position.The idea behind Block Inc and CLP Holdings 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.CLP Holdings vs. Hong Kong and | CLP Holdings vs. Power Assets Holdings | CLP Holdings vs. Swire Pacific | CLP Holdings vs. Sun Hung Kai |
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 Pattern Recognition module to use different Pattern Recognition models to time the market across multiple global exchanges.
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