Correlation Between PT Bank and Santa Cruz

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

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

Diversification Opportunities for PT Bank and Santa Cruz

0.35

Correlation Coefficient

PT Bank  Santa Cruz

Weak diversification

The 3 months correlation between PBCRF and Santa is 0.35. Overlapping area represents the amount of risk that can be diversified away by holding PT Bank Central and Santa Cruz County in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Santa Cruz County and PT Bank 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 PT Bank Central are associated (or correlated) with Santa Cruz. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Santa Cruz County has no effect on the direction of PT Bank i.e., PT Bank and Santa Cruz go up and down completely randomly.

Pair Corralation between PT Bank and Santa Cruz

Assuming the 90 days horizon PT Bank Central is expected to generate 8.83 times more return on investment than Santa Cruz. However, PT Bank is 8.83 times more volatile than Santa Cruz County. It trades about -0.01 of its potential returns per unit of risk. Santa Cruz County is currently generating about -0.18 per unit of risk. If you would invest  57.00  in PT Bank Central on December 28, 2024 and sell it today you would lose (6.00) from holding PT Bank Central or give up 10.53% of portfolio value over 90 days.

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

PT Bank Central  vs.  Santa Cruz County

PT Bank Central

Risk-Adjusted Performance

Very Weak

Over the last 90 days PT Bank Central has generated negative risk-adjusted returns adding no value to investors with long positions. Despite nearly stable basic indicators, PT Bank is not utilizing all of its potentials. The current stock price disturbance, may contribute to mid-run losses for the stockholders.

Santa Cruz County

Risk-Adjusted Performance

Very Weak

Over the last 90 days Santa Cruz County has generated negative risk-adjusted returns adding no value to investors with long positions. In spite of latest conflicting performance, the Stock's basic indicators remain sound and the latest tumult on Wall Street may also be a sign of longer-term gains for the firm shareholders.

Pair Trading with PT Bank and Santa Cruz

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

The idea behind PT Bank Central and Santa Cruz County 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 Pattern Recognition module to use different Pattern Recognition models to time the market across multiple global exchanges.