Correlation Between Hawkins and CP ALL

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

By analyzing existing cross correlation between Hawkins and CP ALL Public, you can compare the effects of market volatilities on Hawkins and CP ALL 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 Hawkins with a short position of CP ALL. Check out your portfolio center. Please also check ongoing floating volatility patterns of Hawkins and CP ALL.

Diversification Opportunities for Hawkins and CP ALL

-0.02

Correlation Coefficient

Hawkins  CP ALL

Good diversification

The 3 months correlation between Hawkins and CVPBF is -0.02. Overlapping area represents the amount of risk that can be diversified away by holding Hawkins and CP ALL Public in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on CP ALL Public and Hawkins 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 Hawkins are associated (or correlated) with CP ALL. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of CP ALL Public has no effect on the direction of Hawkins i.e., Hawkins and CP ALL go up and down completely randomly.

Pair Corralation between Hawkins and CP ALL

Given the investment horizon of 90 days Hawkins is expected to under-perform the CP ALL. In addition to that, Hawkins is 4.95 times more volatile than CP ALL Public. It trades about -0.17 of its total potential returns per unit of risk. CP ALL Public is currently generating about -0.23 per unit of volatility. If you would invest  184.00  in CP ALL Public on October 8, 2024 and sell it today you would lose (4.00) from holding CP ALL Public or give up 2.17% of portfolio value over 90 days.

Time Period	3 Months [change]
Direction	Moves Against
Strength	Insignificant
Accuracy	95.0%
Values	Daily Returns

Hawkins  vs.  CP ALL Public

Hawkins

Risk-Adjusted Performance

0 of 100

Very Weak

Over the last 90 days Hawkins has generated negative risk-adjusted returns adding no value to investors with long positions. In spite of very healthy forward-looking signals, Hawkins is not utilizing all of its potentials. The latest stock price disarray, may contribute to short-term losses for the investors.

CP ALL Public

Risk-Adjusted Performance

0 of 100

Very Weak

Over the last 90 days CP ALL Public has generated negative risk-adjusted returns adding no value to investors with long positions. Despite uncertain performance in the last few months, the Stock's fundamental drivers remain nearly stable which may send shares a bit higher in February 2025. The current disturbance may also be a sign of long-run up-swing for the company stockholders.

Pair Trading with Hawkins and CP ALL

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

The idea behind Hawkins and CP ALL Public 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 Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.