Correlation Between First Quantum and Intel

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

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

Diversification Opportunities for First Quantum and Intel

0.35

Correlation Coefficient

First Quantum  Intel

Weak diversification

The 3 months correlation between First and Intel is 0.35. Overlapping area represents the amount of risk that can be diversified away by holding First Quantum Minerals and Intel in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Intel and First Quantum 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 First Quantum Minerals are associated (or correlated) with Intel. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Intel has no effect on the direction of First Quantum i.e., First Quantum and Intel go up and down completely randomly.

Pair Corralation between First Quantum and Intel

Assuming the 90 days horizon First Quantum is expected to generate 1.08 times less return on investment than Intel. But when comparing it to its historical volatility, First Quantum Minerals is 1.09 times less risky than Intel. It trades about 0.08 of its potential returns per unit of risk. Intel is currently generating about 0.08 of returns per unit of risk over similar time horizon. If you would invest  1,933  in Intel on December 27, 2024 and sell it today you would earn a total of  321.00  from holding Intel or generate 16.61% return on investment over 90 days.

Time Period	3 Months [change]
Direction	Moves Together
Strength	Very Weak
Accuracy	98.41%
Values	Daily Returns

First Quantum Minerals  vs.  Intel

First Quantum Minerals

Risk-Adjusted Performance

Modest

Compared to the overall equity markets, risk-adjusted returns on investments in First Quantum Minerals are ranked lower than 6 (%) of all global equities and portfolios over the last 90 days. Despite nearly fragile basic indicators, First Quantum reported solid returns over the last few months and may actually be approaching a breakup point.

Intel

Risk-Adjusted Performance

Modest

Compared to the overall equity markets, risk-adjusted returns on investments in Intel are ranked lower than 6 (%) of all global equities and portfolios over the last 90 days. In spite of comparatively unsteady essential indicators, Intel unveiled solid returns over the last few months and may actually be approaching a breakup point.

Pair Trading with First Quantum and Intel

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

The idea behind First Quantum Minerals and Intel 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 Economic Indicators module to top statistical indicators that provide insights into how an economy is performing.