Correlation Between PING and PURA

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

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

Diversification Opportunities for PING and PURA

1.0

Correlation Coefficient

PING  PURA

No risk reduction

The 3 months correlation between PING and PURA is 1.0. Overlapping area represents the amount of risk that can be diversified away by holding PING and PURA in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on PURA and PING 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 PING are associated (or correlated) with PURA. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of PURA has no effect on the direction of PING i.e., PING and PURA go up and down completely randomly.

Pair Corralation between PING and PURA

If you would invest  3.10  in PURA on September 1, 2024 and sell it today you would earn a total of  0.00  from holding PURA or generate 0.0% return on investment over 90 days.

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

PING  vs.  PURA

PING

Risk-Adjusted Performance

0 of 100

Very Weak

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

PURA

Risk-Adjusted Performance

0 of 100

Very Weak

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

Pair Trading with PING and PURA

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

The idea behind PING and PURA 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.