Correlation Between Panca Global and Ace Hardware
Can any of the company-specific risk be diversified away by investing in both Panca Global and Ace Hardware 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 Panca Global and Ace Hardware into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Panca Global Securities and Ace Hardware Indonesia, you can compare the effects of market volatilities on Panca Global and Ace Hardware 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 Panca Global with a short position of Ace Hardware. Check out your portfolio center. Please also check ongoing floating volatility patterns of Panca Global and Ace Hardware.
Diversification Opportunities for Panca Global and Ace Hardware
0.0 | Correlation Coefficient |
Pay attention - limited upside
The 3 months correlation between Panca and Ace is 0.0. Overlapping area represents the amount of risk that can be diversified away by holding Panca Global Securities and Ace Hardware Indonesia in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Ace Hardware Indonesia and Panca Global 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 Panca Global Securities are associated (or correlated) with Ace Hardware. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Ace Hardware Indonesia has no effect on the direction of Panca Global i.e., Panca Global and Ace Hardware go up and down completely randomly.
Pair Corralation between Panca Global and Ace Hardware
Assuming the 90 days trading horizon Panca Global Securities is expected to generate 1.12 times more return on investment than Ace Hardware. However, Panca Global is 1.12 times more volatile than Ace Hardware Indonesia. It trades about -0.06 of its potential returns per unit of risk. Ace Hardware Indonesia is currently generating about -0.1 per unit of risk. If you would invest 11,200 in Panca Global Securities on December 1, 2024 and sell it today you would lose (1,200) from holding Panca Global Securities or give up 10.71% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Flat |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Panca Global Securities vs. Ace Hardware Indonesia
Performance |
Timeline |
Panca Global Securities |
Ace Hardware Indonesia |
Panca Global and Ace Hardware Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Panca Global and Ace Hardware
The main advantage of trading using opposite Panca Global and Ace Hardware positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Panca Global position performs unexpectedly, Ace Hardware 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 Ace Hardware will offset losses from the drop in Ace Hardware's long position.Panca Global vs. Panin Sekuritas Tbk | Panca Global vs. Reliance Securities Tbk | Panca Global vs. Mandala Multifinance Tbk | Panca Global vs. Paninvest Tbk |
Ace Hardware vs. Japfa Comfeed Indonesia | Ace Hardware vs. Charoen Pokphand Indonesia | Ace Hardware vs. Erajaya Swasembada Tbk | Ace Hardware vs. Indofood Cbp Sukses |
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 Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.
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