Correlation Between Big Time and Near

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

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

Diversification Opportunities for Big Time and Near

0.95

Correlation Coefficient

Big Time  Near

Almost no diversification

The 3 months correlation between Big and Near is 0.95. Overlapping area represents the amount of risk that can be diversified away by holding Big Time and Near in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Near and Big Time 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 Big Time are associated (or correlated) with Near. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Near has no effect on the direction of Big Time i.e., Big Time and Near go up and down completely randomly.

Pair Corralation between Big Time and Near

Assuming the 90 days trading horizon Big Time is expected to under-perform the Near. In addition to that, Big Time is 1.1 times more volatile than Near. It trades about -0.21 of its total potential returns per unit of risk. Near is currently generating about -0.13 per unit of volatility. If you would invest  490.00  in Near on December 30, 2024 and sell it today you would lose (234.00) from holding Near or give up 47.76% of portfolio value over 90 days.

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

Big Time  vs.  Near

Big Time

Risk-Adjusted Performance

Very Weak

Over the last 90 days Big Time has generated negative risk-adjusted returns adding no value to investors with long positions. In spite of unsteady performance in the last few months, the Crypto's basic indicators remain rather sound which may send shares a bit higher in April 2025. The latest tumult may also be a sign of longer-term up-swing for Big Time shareholders.

Near

Risk-Adjusted Performance

Very Weak

Over the last 90 days Near has generated negative risk-adjusted returns adding no value to investors with long positions. In spite of unsteady performance in the last few months, the Crypto's fundamental indicators remain rather sound which may send shares a bit higher in April 2025. The latest tumult may also be a sign of longer-term up-swing for Near shareholders.

Pair Trading with Big Time and Near

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

The idea behind Big Time and Near 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.