Correlation Between ATT and Giga Metals

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

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

Diversification Opportunities for ATT and Giga Metals

-0.65

Correlation Coefficient

ATT  Giga Metals

Excellent diversification

The 3 months correlation between ATT and Giga is -0.65. Overlapping area represents the amount of risk that can be diversified away by holding ATT Inc and Giga Metals in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Giga Metals and ATT 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 ATT Inc are associated (or correlated) with Giga Metals. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Giga Metals has no effect on the direction of ATT i.e., ATT and Giga Metals go up and down completely randomly.

Pair Corralation between ATT and Giga Metals

If you would invest  2,231  in ATT Inc on September 12, 2024 and sell it today you would earn a total of  120.00  from holding ATT Inc or generate 5.38% return on investment over 90 days.

Time Period	3 Months [change]
Direction	Moves Against
Strength	Weak
Accuracy	4.55%
Values	Daily Returns

ATT Inc  vs.  Giga Metals

ATT Inc

Risk-Adjusted Performance

9 of 100

OK

Compared to the overall equity markets, risk-adjusted returns on investments in ATT Inc are ranked lower than 9 (%) of all global equities and portfolios over the last 90 days. In spite of comparatively weak basic indicators, ATT may actually be approaching a critical reversion point that can send shares even higher in January 2025.

Giga Metals

Risk-Adjusted Performance

0 of 100

Very Weak

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

Pair Trading with ATT and Giga Metals

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

The idea behind ATT Inc and Giga 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 Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.