Correlation Between 30 Day and Cotton

Can any of the company-specific risk be diversified away by investing in both 30 Day and Cotton 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 30 Day and Cotton into the same portfolio, which is an essential part of the fundamental portfolio management process.

By analyzing existing cross correlation between 30 Day Fed and Cotton, you can compare the effects of market volatilities on 30 Day and Cotton 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 30 Day with a short position of Cotton. Check out your portfolio center. Please also check ongoing floating volatility patterns of 30 Day and Cotton.

Diversification Opportunities for 30 Day and Cotton

0.16

Correlation Coefficient

30 Day  Cotton

Average diversification

The 3 months correlation between ZQUSD and Cotton is 0.16. Overlapping area represents the amount of risk that can be diversified away by holding 30 Day Fed and Cotton in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Cotton and 30 Day 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 30 Day Fed are associated (or correlated) with Cotton. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Cotton has no effect on the direction of 30 Day i.e., 30 Day and Cotton go up and down completely randomly.

Pair Corralation between 30 Day and Cotton

Assuming the 90 days horizon 30 Day is expected to generate 3.54 times less return on investment than Cotton. But when comparing it to its historical volatility, 30 Day Fed is 19.76 times less risky than Cotton. It trades about 0.2 of its potential returns per unit of risk. Cotton is currently generating about 0.04 of returns per unit of risk over similar time horizon. If you would invest  6,981  in Cotton on September 4, 2024 and sell it today you would earn a total of  168.00  from holding Cotton or generate 2.41% return on investment over 90 days.

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

30 Day Fed  vs.  Cotton

30 Day Fed

Risk-Adjusted Performance

15 of 100

Good

Compared to the overall equity markets, risk-adjusted returns on investments in 30 Day Fed are ranked lower than 15 (%) of all global equities and portfolios over the last 90 days. In spite of rather sound basic indicators, 30 Day is not utilizing all of its potentials. The latest stock price tumult, may contribute to shorter-term losses for the shareholders.

Cotton

Risk-Adjusted Performance

2 of 100

Weak

Compared to the overall equity markets, risk-adjusted returns on investments in Cotton are ranked lower than 2 (%) of all global equities and portfolios over the last 90 days. In spite of fairly strong basic indicators, Cotton is not utilizing all of its potentials. The latest stock price disturbance, may contribute to short-term losses for the investors.

Pair Trading with 30 Day and Cotton

The main advantage of trading using opposite 30 Day and Cotton positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if 30 Day position performs unexpectedly, Cotton 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 Cotton will offset losses from the drop in Cotton's long position.

The idea behind 30 Day Fed and Cotton 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 Equity Analysis module to research over 250,000 global equities including funds, stocks and ETFs to find investment opportunities.