Correlation Between Goldman Sachs and Ohio Variable

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

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

Diversification Opportunities for Goldman Sachs and Ohio Variable

0.0

Correlation Coefficient

Goldman Sachs  Ohio Variable

Pay attention - limited upside

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

Pair Corralation between Goldman Sachs and Ohio Variable

If you would invest  100.00  in Goldman Sachs Financial on October 11, 2024 and sell it today you would earn a total of  0.00  from holding Goldman Sachs Financial or generate 0.0% return on investment over 90 days.

Time Period	3 Months [change]
Direction	Flat
Strength	Insignificant
Accuracy	95.45%
Values	Daily Returns

Goldman Sachs Financial  vs.  Ohio Variable College

Goldman Sachs Financial

Risk-Adjusted Performance

0 of 100

Very Weak

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

Ohio Variable College

Risk-Adjusted Performance

0 of 100

Very Weak

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

Pair Trading with Goldman Sachs and Ohio Variable

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

The idea behind Goldman Sachs Financial and Ohio Variable College 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.