Correlation Between Forsys Metals and Goeasy

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

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

Diversification Opportunities for Forsys Metals and Goeasy

0.1

Correlation Coefficient

Forsys Metals  Goeasy

Average diversification

The 3 months correlation between Forsys and Goeasy is 0.1. Overlapping area represents the amount of risk that can be diversified away by holding Forsys Metals Corp and goeasy in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on goeasy and Forsys Metals 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 Forsys Metals Corp are associated (or correlated) with Goeasy. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of goeasy has no effect on the direction of Forsys Metals i.e., Forsys Metals and Goeasy go up and down completely randomly.

Pair Corralation between Forsys Metals and Goeasy

Assuming the 90 days trading horizon Forsys Metals Corp is expected to generate 2.81 times more return on investment than Goeasy. However, Forsys Metals is 2.81 times more volatile than goeasy. It trades about 0.07 of its potential returns per unit of risk. goeasy is currently generating about -0.11 per unit of risk. If you would invest  53.00  in Forsys Metals Corp on September 19, 2024 and sell it today you would earn a total of  8.00  from holding Forsys Metals Corp or generate 15.09% return on investment over 90 days.

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

Forsys Metals Corp  vs.  goeasy

Forsys Metals Corp

Risk-Adjusted Performance

5 of 100

Modest

Compared to the overall equity markets, risk-adjusted returns on investments in Forsys Metals Corp are ranked lower than 5 (%) of all global equities and portfolios over the last 90 days. In spite of very unfluctuating basic indicators, Forsys Metals displayed solid returns over the last few months and may actually be approaching a breakup point.

goeasy

Risk-Adjusted Performance

0 of 100

Very Weak

Over the last 90 days goeasy has generated negative risk-adjusted returns adding no value to investors with long positions. In spite of latest unfluctuating performance, the Stock's basic indicators remain healthy and the recent disarray on Wall Street may also be a sign of long period gains for the firm investors.

Pair Trading with Forsys Metals and Goeasy

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

The idea behind Forsys Metals Corp and goeasy 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 Alpha Finder module to use alpha and beta coefficients to find investment opportunities after accounting for the risk.