Correlation Between Lenox Pasifik and MongoDB

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

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

Diversification Opportunities for Lenox Pasifik and MongoDB

-0.35

Correlation Coefficient

Lenox Pasifik  MongoDB

Very good diversification

The 3 months correlation between Lenox and MongoDB is -0.35. Overlapping area represents the amount of risk that can be diversified away by holding Lenox Pasifik Investama and MongoDB in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on MongoDB and Lenox Pasifik 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 Lenox Pasifik Investama 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 Lenox Pasifik i.e., Lenox Pasifik and MongoDB go up and down completely randomly.

Pair Corralation between Lenox Pasifik and MongoDB

Assuming the 90 days trading horizon Lenox Pasifik is expected to generate 1.09 times less return on investment than MongoDB. In addition to that, Lenox Pasifik is 3.64 times more volatile than MongoDB. It trades about 0.05 of its total potential returns per unit of risk. MongoDB is currently generating about 0.2 per unit of volatility. If you would invest  13,286  in MongoDB on April 21, 2025 and sell it today you would earn a total of  5,642  from holding MongoDB or generate 42.47% return on investment over 90 days.

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

Lenox Pasifik Investama  vs.  MongoDB

Lenox Pasifik Investama

Risk-Adjusted Performance

Insignificant

Compared to the overall equity markets, risk-adjusted returns on investments in Lenox Pasifik Investama are ranked lower than 4 (%) of all global equities and portfolios over the last 90 days. Despite nearly uncertain basic indicators, Lenox Pasifik reported solid returns over the last few months and may actually be approaching a breakup point.

MongoDB

Risk-Adjusted Performance

Solid

Compared to the overall equity markets, risk-adjusted returns on investments in MongoDB are ranked lower than 16 (%) of all global equities and portfolios over the last 90 days. Despite nearly unsteady basic indicators, MongoDB reported solid returns over the last few months and may actually be approaching a breakup point.

Pair Trading with Lenox Pasifik and MongoDB

The main advantage of trading using opposite Lenox Pasifik and MongoDB positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Lenox Pasifik 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 Lenox Pasifik Investama 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 Crypto Correlations module to use cryptocurrency correlation module to diversify your cryptocurrency portfolio across multiple coins.