Correlation Between City Retail and Akr Corporindo
Can any of the company-specific risk be diversified away by investing in both City Retail and Akr Corporindo 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 City Retail and Akr Corporindo into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between City Retail Developments and Akr Corporindo Tbk, you can compare the effects of market volatilities on City Retail and Akr Corporindo 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 City Retail with a short position of Akr Corporindo. Check out your portfolio center. Please also check ongoing floating volatility patterns of City Retail and Akr Corporindo.
Diversification Opportunities for City Retail and Akr Corporindo
0.14 | Correlation Coefficient |
Average diversification
The 3 months correlation between City and Akr is 0.14. Overlapping area represents the amount of risk that can be diversified away by holding City Retail Developments and Akr Corporindo Tbk in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Akr Corporindo Tbk and City Retail 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 City Retail Developments are associated (or correlated) with Akr Corporindo. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Akr Corporindo Tbk has no effect on the direction of City Retail i.e., City Retail and Akr Corporindo go up and down completely randomly.
Pair Corralation between City Retail and Akr Corporindo
Assuming the 90 days trading horizon City Retail Developments is expected to under-perform the Akr Corporindo. But the stock apears to be less risky and, when comparing its historical volatility, City Retail Developments is 4.72 times less risky than Akr Corporindo. The stock trades about -0.11 of its potential returns per unit of risk. The Akr Corporindo Tbk is currently generating about 0.0 of returns per unit of risk over similar time horizon. If you would invest 112,000 in Akr Corporindo Tbk on December 29, 2024 and sell it today you would lose (2,500) from holding Akr Corporindo Tbk or give up 2.23% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
City Retail Developments vs. Akr Corporindo Tbk
Performance |
Timeline |
City Retail Developments |
Akr Corporindo Tbk |
City Retail and Akr Corporindo Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with City Retail and Akr Corporindo
The main advantage of trading using opposite City Retail and Akr Corporindo positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if City Retail position performs unexpectedly, Akr Corporindo 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 Akr Corporindo will offset losses from the drop in Akr Corporindo's long position.City Retail vs. Metropolitan Land Tbk | City Retail vs. Bekasi Fajar Industrial | City Retail vs. Greenwood Sejahtera Tbk | City Retail vs. Metropolitan Kentjana Tbk |
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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 Equity Forecasting module to use basic forecasting models to generate price predictions and determine price momentum.
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