Correlation Between Carsales and PT Bank

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

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

Diversification Opportunities for Carsales and PT Bank

0.69

Correlation Coefficient

Carsales  PT Bank

Poor diversification

The 3 months correlation between Carsales and BYRA is 0.69. Overlapping area represents the amount of risk that can be diversified away by holding Carsales and PT Bank Rakyat in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on PT Bank Rakyat and Carsales 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 Carsales are associated (or correlated) with PT Bank. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of PT Bank Rakyat has no effect on the direction of Carsales i.e., Carsales and PT Bank go up and down completely randomly.

Pair Corralation between Carsales and PT Bank

Assuming the 90 days trading horizon Carsales is expected to under-perform the PT Bank. But the stock apears to be less risky and, when comparing its historical volatility, Carsales is 3.67 times less risky than PT Bank. The stock trades about -0.1 of its potential returns per unit of risk. The PT Bank Rakyat is currently generating about 0.0 of returns per unit of risk over similar time horizon. If you would invest  23.00  in PT Bank Rakyat on December 31, 2024 and sell it today you would lose (3.00) from holding PT Bank Rakyat or give up 13.04% of portfolio value over 90 days.

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

Carsales  vs.  PT Bank Rakyat

Carsales

Risk-Adjusted Performance

Very Weak

Over the last 90 days Carsales has generated negative risk-adjusted returns adding no value to investors with long positions. In spite of latest weak performance, the Stock's basic indicators remain stable and the newest uproar on Wall Street may also be a sign of mid-term gains for the firm private investors.

PT Bank Rakyat

Risk-Adjusted Performance

Weak

Over the last 90 days PT Bank Rakyat has generated negative risk-adjusted returns adding no value to investors with long positions. In spite of comparatively stable basic indicators, PT Bank is not utilizing all of its potentials. The newest stock price uproar, may contribute to short-horizon losses for the private investors.

Pair Trading with Carsales and PT Bank

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

The idea behind Carsales and PT Bank Rakyat 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.