Correlation Between MoneyMe and Boom Logistics

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

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

Diversification Opportunities for MoneyMe and Boom Logistics

-0.4

Correlation Coefficient

MoneyMe  Boom Logistics

Very good diversification

The 3 months correlation between MoneyMe and Boom is -0.4. Overlapping area represents the amount of risk that can be diversified away by holding MoneyMe and Boom Logistics in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Boom Logistics and MoneyMe 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 MoneyMe are associated (or correlated) with Boom Logistics. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Boom Logistics has no effect on the direction of MoneyMe i.e., MoneyMe and Boom Logistics go up and down completely randomly.

Pair Corralation between MoneyMe and Boom Logistics

Assuming the 90 days trading horizon MoneyMe is expected to generate 4.69 times more return on investment than Boom Logistics. However, MoneyMe is 4.69 times more volatile than Boom Logistics. It trades about 0.33 of its potential returns per unit of risk. Boom Logistics is currently generating about -0.02 per unit of risk. If you would invest  12.00  in MoneyMe on September 22, 2024 and sell it today you would earn a total of  5.00  from holding MoneyMe or generate 41.67% return on investment over 90 days.

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

MoneyMe  vs.  Boom Logistics

MoneyMe

Risk-Adjusted Performance

7 of 100

OK

Compared to the overall equity markets, risk-adjusted returns on investments in MoneyMe are ranked lower than 7 (%) of all global equities and portfolios over the last 90 days. In spite of comparatively uncertain technical and fundamental indicators, MoneyMe unveiled solid returns over the last few months and may actually be approaching a breakup point.

Boom Logistics

Risk-Adjusted Performance

0 of 100

Very Weak

Over the last 90 days Boom Logistics has generated negative risk-adjusted returns adding no value to investors with long positions. In spite of comparatively stable essential indicators, Boom Logistics is not utilizing all of its potentials. The newest stock price uproar, may contribute to short-horizon losses for the private investors.

Pair Trading with MoneyMe and Boom Logistics

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

The idea behind MoneyMe and Boom Logistics 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 ETF Categories module to list of ETF categories grouped based on various criteria, such as the investment strategy or type of investments.