Correlation Between Vicinity and PTRA

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

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

Diversification Opportunities for Vicinity and PTRA

0.0

Correlation Coefficient

Vicinity  PTRA

Pay attention - limited upside

The 3 months correlation between Vicinity and PTRA is 0.0. Overlapping area represents the amount of risk that can be diversified away by holding Vicinity Motor Corp and PTRA in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on PTRA and Vicinity 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 Vicinity Motor Corp are associated (or correlated) with PTRA. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of PTRA has no effect on the direction of Vicinity i.e., Vicinity and PTRA go up and down completely randomly.

Pair Corralation between Vicinity and PTRA

If you would invest (100.00) in PTRA on December 25, 2024 and sell it today you would earn a total of  100.00  from holding PTRA or generate -100.0% return on investment over 90 days.

Time Period	3 Months [change]
Direction	Flat
Strength	Insignificant
Accuracy	100.0%
Values	Daily Returns

Vicinity Motor Corp  vs.  PTRA

Vicinity Motor Corp

Risk-Adjusted Performance

Very Weak

Over the last 90 days Vicinity Motor Corp has generated negative risk-adjusted returns adding no value to investors with long positions. In spite of fairly stable technical and fundamental indicators, Vicinity is not utilizing all of its potentials. The latest stock price fuss, may contribute to near-short-term losses for the sophisticated investors.

PTRA

Risk-Adjusted Performance

Very Weak

Over the last 90 days PTRA has generated negative risk-adjusted returns adding no value to investors with long positions. Despite somewhat strong basic indicators, PTRA is not utilizing all of its potentials. The current stock price disturbance, may contribute to short-term losses for the investors.

Pair Trading with Vicinity and PTRA

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

The idea behind Vicinity Motor Corp and PTRA 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.

Check out your portfolio center.

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 Performance Analysis module to check effects of mean-variance optimization against your current asset allocation.