Correlation Between BITM and Osmosis

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

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

Diversification Opportunities for BITM and Osmosis

-0.47

Correlation Coefficient

BITM  Osmosis

Very good diversification

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

Pair Corralation between BITM and Osmosis

If you would invest  40.00  in Osmosis on August 30, 2024 and sell it today you would earn a total of  19.00  from holding Osmosis or generate 47.5% return on investment over 90 days.

Time Period	3 Months [change]
Direction	Moves Against
Strength	Very Weak
Accuracy	1.56%
Values	Daily Returns

BITM  vs.  Osmosis

BITM

Risk-Adjusted Performance

0 of 100

Very Weak

Over the last 90 days BITM has generated negative risk-adjusted returns adding no value to investors with long positions. In spite of rather sound fundamental indicators, BITM is not utilizing all of its potentials. The latest stock price tumult, may contribute to shorter-term losses for the shareholders.

Osmosis

Risk-Adjusted Performance

10 of 100

OK

Compared to the overall equity markets, risk-adjusted returns on investments in Osmosis are ranked lower than 10 (%) of all global equities and portfolios over the last 90 days. In spite of rather unsteady fundamental indicators, Osmosis exhibited solid returns over the last few months and may actually be approaching a breakup point.

Pair Trading with BITM and Osmosis

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

The idea behind BITM and Osmosis 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 My Watchlist Analysis module to analyze my current watchlist and to refresh optimization strategy. Macroaxis watchlist is based on self-learning algorithm to remember stocks you like.