Correlation Between GRIFFIN MINING and MongoDB

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

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

Diversification Opportunities for GRIFFIN MINING and MongoDB

-0.44

Correlation Coefficient

GRIFFIN MINING  MongoDB

Very good diversification

The 3 months correlation between GRIFFIN and MongoDB is -0.44. Overlapping area represents the amount of risk that can be diversified away by holding GRIFFIN MINING LTD and MongoDB in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on MongoDB and GRIFFIN MINING 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 GRIFFIN MINING LTD are associated (or correlated) with MongoDB. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of MongoDB has no effect on the direction of GRIFFIN MINING i.e., GRIFFIN MINING and MongoDB go up and down completely randomly.

Pair Corralation between GRIFFIN MINING and MongoDB

Assuming the 90 days horizon GRIFFIN MINING LTD is expected to generate 0.45 times more return on investment than MongoDB. However, GRIFFIN MINING LTD is 2.22 times less risky than MongoDB. It trades about -0.01 of its potential returns per unit of risk. MongoDB is currently generating about -0.02 per unit of risk. If you would invest  186.00  in GRIFFIN MINING LTD on October 11, 2024 and sell it today you would lose (3.00) from holding GRIFFIN MINING LTD or give up 1.61% of portfolio value over 90 days.

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

GRIFFIN MINING LTD  vs.  MongoDB

GRIFFIN MINING LTD

Risk-Adjusted Performance

0 of 100

Very Weak

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

MongoDB

Risk-Adjusted Performance

0 of 100

Very Weak

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

Pair Trading with GRIFFIN MINING and MongoDB

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

The idea behind GRIFFIN MINING LTD and MongoDB 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 Price Ceiling Movement module to calculate and plot Price Ceiling Movement for different equity instruments.