Correlation Between Hawkins and Where Food

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

By analyzing existing cross correlation between Hawkins and Where Food Comes, you can compare the effects of market volatilities on Hawkins and Where Food 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 Where Food. Check out your portfolio center. Please also check ongoing floating volatility patterns of Hawkins and Where Food.

Diversification Opportunities for Hawkins and Where Food

0.57

Correlation Coefficient

Hawkins  Where Food

Very weak diversification

The 3 months correlation between Hawkins and Where is 0.57. Overlapping area represents the amount of risk that can be diversified away by holding Hawkins and Where Food Comes in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Where Food Comes 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 Where Food. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Where Food Comes has no effect on the direction of Hawkins i.e., Hawkins and Where Food go up and down completely randomly.

Pair Corralation between Hawkins and Where Food

Given the investment horizon of 90 days Hawkins is expected to generate 1.05 times more return on investment than Where Food. However, Hawkins is 1.05 times more volatile than Where Food Comes. It trades about 0.12 of its potential returns per unit of risk. Where Food Comes is currently generating about 0.0 per unit of risk. If you would invest  3,859  in Hawkins on September 14, 2024 and sell it today you would earn a total of  9,140  from holding Hawkins or generate 236.85% return on investment over 90 days.

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

Hawkins  vs.  Where Food Comes

Hawkins

Risk-Adjusted Performance

6 of 100

Modest

Compared to the overall equity markets, risk-adjusted returns on investments in Hawkins are ranked lower than 6 (%) of all global equities and portfolios over the last 90 days. In spite of very unfluctuating forward-looking signals, Hawkins displayed solid returns over the last few months and may actually be approaching a breakup point.

Where Food Comes

Risk-Adjusted Performance

9 of 100

OK

Compared to the overall equity markets, risk-adjusted returns on investments in Where Food Comes are ranked lower than 9 (%) of all global equities and portfolios over the last 90 days. Despite nearly weak fundamental indicators, Where Food reported solid returns over the last few months and may actually be approaching a breakup point.

Pair Trading with Hawkins and Where Food

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

The idea behind Hawkins and Where Food Comes 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 ETF Categories module to list of ETF categories grouped based on various criteria, such as the investment strategy or type of investments.