Correlation Between Data Communications and Precious Metals

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

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

Diversification Opportunities for Data Communications and Precious Metals

0.47

Correlation Coefficient

Data Communications  Precious Metals

Very weak diversification

The 3 months correlation between Data and Precious is 0.47. Overlapping area represents the amount of risk that can be diversified away by holding Data Communications Management and Precious Metals And in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Precious Metals And and Data Communications 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 Data Communications Management are associated (or correlated) with Precious Metals. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Precious Metals And has no effect on the direction of Data Communications i.e., Data Communications and Precious Metals go up and down completely randomly.

Pair Corralation between Data Communications and Precious Metals

Assuming the 90 days trading horizon Data Communications Management is expected to under-perform the Precious Metals. In addition to that, Data Communications is 2.71 times more volatile than Precious Metals And. It trades about -0.09 of its total potential returns per unit of risk. Precious Metals And is currently generating about -0.03 per unit of volatility. If you would invest  184.00  in Precious Metals And on October 6, 2024 and sell it today you would lose (7.00) from holding Precious Metals And or give up 3.8% of portfolio value over 90 days.

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

Data Communications Management  vs.  Precious Metals And

Data Communications

Risk-Adjusted Performance

0 of 100

Very Weak

Over the last 90 days Data Communications Management has generated negative risk-adjusted returns adding no value to investors with long positions. In spite of unfluctuating performance in the last few months, the Stock's primary indicators remain very healthy which may send shares a bit higher in February 2025. The recent disarray may also be a sign of long period up-swing for the firm investors.

Precious Metals And

Risk-Adjusted Performance

1 of 100

Weak

Compared to the overall equity markets, risk-adjusted returns on investments in Precious Metals And are ranked lower than 1 (%) of all global equities and portfolios over the last 90 days. Despite somewhat strong basic indicators, Precious Metals is not utilizing all of its potentials. The recent stock price disturbance, may contribute to short-term losses for the investors.

Pair Trading with Data Communications and Precious Metals

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

The idea behind Data Communications Management and Precious Metals And 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 Suggestion module to get suggestions outside of your existing asset allocation including your own model portfolios.