Correlation Between VIIX and PGIM ETF

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

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

Diversification Opportunities for VIIX and PGIM ETF

0.0

Correlation Coefficient

VIIX  PGIM ETF

Pay attention - limited upside

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

Pair Corralation between VIIX and PGIM ETF

If you would invest (100.00) in VIIX on December 26, 2024 and sell it today you would earn a total of  100.00  from holding VIIX or generate -100.0% return on investment over 90 days.

Time Period	3 Months [change]
Direction	Flat
Strength	Insignificant
Accuracy	0.0%
Values	Daily Returns

VIIX  vs.  PGIM ETF Trust

VIIX

Risk-Adjusted Performance

Very Weak

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

PGIM ETF Trust

Risk-Adjusted Performance

Very Weak

Over the last 90 days PGIM ETF Trust has generated negative risk-adjusted returns adding no value to investors with long positions. Despite quite persistent fundamental drivers, PGIM ETF is not utilizing all of its potentials. The current stock price mess, may contribute to short-term losses for the institutional investors.

Pair Trading with VIIX and PGIM ETF

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

The idea behind VIIX and PGIM ETF Trust 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 Portfolio Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.