Correlation Between FLAT GLASS and Intel

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

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

Diversification Opportunities for FLAT GLASS and Intel

0.21

Correlation Coefficient

FLAT GLASS  Intel

Modest diversification

The 3 months correlation between FLAT and Intel is 0.21. Overlapping area represents the amount of risk that can be diversified away by holding FLAT GLASS GROUP and Intel in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Intel and FLAT GLASS 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 FLAT GLASS GROUP 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 FLAT GLASS i.e., FLAT GLASS and Intel go up and down completely randomly.

Pair Corralation between FLAT GLASS and Intel

Assuming the 90 days horizon FLAT GLASS is expected to generate 6.1 times less return on investment than Intel. But when comparing it to its historical volatility, FLAT GLASS GROUP is 1.42 times less risky than Intel. It trades about 0.02 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	100.0%
Values	Daily Returns

FLAT GLASS GROUP  vs.  Intel

FLAT GLASS GROUP

Risk-Adjusted Performance

Weak

Compared to the overall equity markets, risk-adjusted returns on investments in FLAT GLASS GROUP are ranked lower than 1 (%) of all global equities and portfolios over the last 90 days. Despite nearly stable basic indicators, FLAT GLASS is not utilizing all of its potentials. The current stock price disturbance, may contribute to mid-run losses for the stockholders.

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 FLAT GLASS and Intel

The main advantage of trading using opposite FLAT GLASS and Intel positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if FLAT GLASS 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 FLAT GLASS GROUP 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 Portfolio Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.