Correlation Between Intel and Lion One

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

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

Diversification Opportunities for Intel and Lion One

-0.06

Correlation Coefficient

Intel  Lion One

Good diversification

The 3 months correlation between Intel and Lion is -0.06. Overlapping area represents the amount of risk that can be diversified away by holding Intel and Lion One Metals in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Lion One Metals and Intel 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 Intel are associated (or correlated) with Lion One. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Lion One Metals has no effect on the direction of Intel i.e., Intel and Lion One go up and down completely randomly.

Pair Corralation between Intel and Lion One

Assuming the 90 days trading horizon Intel is expected to under-perform the Lion One. But the stock apears to be less risky and, when comparing its historical volatility, Intel is 1.24 times less risky than Lion One. The stock trades about -0.03 of its potential returns per unit of risk. The Lion One Metals is currently generating about -0.01 of returns per unit of risk over similar time horizon. If you would invest  17.00  in Lion One Metals on May 5, 2025 and sell it today you would lose (1.00) from holding Lion One Metals or give up 5.88% of portfolio value over 90 days.

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

Intel  vs.  Lion One Metals

Intel

Risk-Adjusted Performance

Very Weak

Over the last 90 days Intel has generated negative risk-adjusted returns adding no value to investors with long positions. In spite of comparatively stable essential indicators, Intel is not utilizing all of its potentials. The current stock price uproar, may contribute to short-horizon losses for the private investors.

Lion One Metals

Risk-Adjusted Performance

Very Weak

Over the last 90 days Lion One Metals has generated negative risk-adjusted returns adding no value to investors with long positions. Despite nearly stable basic indicators, Lion One is not utilizing all of its potentials. The latest stock price disturbance, may contribute to mid-run losses for the stockholders.

Pair Trading with Intel and Lion One

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

The idea behind Intel and Lion One Metals 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 My Watchlist Analysis module to analyze my current watchlist and to refresh optimization strategy. Macroaxis watchlist is based on self-learning algorithm to remember stocks you like.