Correlation Between CAPP and NXT

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

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

Diversification Opportunities for CAPP and NXT

0.49

Correlation Coefficient

CAPP  NXT

Very weak diversification

The 3 months correlation between CAPP and NXT is 0.49. Overlapping area represents the amount of risk that can be diversified away by holding CAPP and NXT in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on NXT and CAPP 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 CAPP are associated (or correlated) with NXT. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of NXT has no effect on the direction of CAPP i.e., CAPP and NXT go up and down completely randomly.

Pair Corralation between CAPP and NXT

Assuming the 90 days trading horizon CAPP is expected to generate 1.0 times more return on investment than NXT. However, CAPP is 1.0 times less risky than NXT. It trades about 0.35 of its potential returns per unit of risk. NXT is currently generating about 0.29 per unit of risk. If you would invest  0.00  in CAPP on August 30, 2024 and sell it today you would earn a total of  0.00  from holding CAPP or generate 37.21% return on investment over 90 days.

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

CAPP  vs.  NXT

CAPP

Risk-Adjusted Performance

2 of 100

Weak

Compared to the overall equity markets, risk-adjusted returns on investments in CAPP are ranked lower than 2 (%) of all global equities and portfolios over the last 90 days. In spite of rather unsteady fundamental indicators, CAPP exhibited solid returns over the last few months and may actually be approaching a breakup point.

NXT

Risk-Adjusted Performance

17 of 100

Solid

Compared to the overall equity markets, risk-adjusted returns on investments in NXT are ranked lower than 17 (%) of all global equities and portfolios over the last 90 days. In spite of rather unsteady basic indicators, NXT exhibited solid returns over the last few months and may actually be approaching a breakup point.

Pair Trading with CAPP and NXT

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

The idea behind CAPP and NXT 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.