Correlation Between PT Bank and Apple
Can any of the company-specific risk be diversified away by investing in both PT Bank and Apple 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 Apple into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between PT Bank Rakyat and Apple Inc, you can compare the effects of market volatilities on PT Bank and Apple 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 Apple. Check out your portfolio center. Please also check ongoing floating volatility patterns of PT Bank and Apple.
Diversification Opportunities for PT Bank and Apple
Very good diversification
The 3 months correlation between BYRA and Apple is -0.33. Overlapping area represents the amount of risk that can be diversified away by holding PT Bank Rakyat and Apple Inc in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Apple Inc 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 Rakyat are associated (or correlated) with Apple. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Apple Inc has no effect on the direction of PT Bank i.e., PT Bank and Apple go up and down completely randomly.
Pair Corralation between PT Bank and Apple
Assuming the 90 days trading horizon PT Bank Rakyat is expected to under-perform the Apple. In addition to that, PT Bank is 1.48 times more volatile than Apple Inc. It trades about -0.15 of its total potential returns per unit of risk. Apple Inc is currently generating about 0.1 per unit of volatility. If you would invest 21,325 in Apple Inc on August 24, 2024 and sell it today you would earn a total of 595.00 from holding Apple Inc or generate 2.79% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
PT Bank Rakyat vs. Apple Inc
Performance |
Timeline |
PT Bank Rakyat |
Apple Inc |
PT Bank and Apple Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with PT Bank and Apple
The main advantage of trading using opposite PT Bank and Apple positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if PT Bank position performs unexpectedly, Apple 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 Apple will offset losses from the drop in Apple's long position.PT Bank vs. Singapore Telecommunications Limited | PT Bank vs. Q2M Managementberatung AG | PT Bank vs. Waste Management | PT Bank vs. CEOTRONICS |
Apple vs. FUYO GENERAL LEASE | Apple vs. United Rentals | Apple vs. Qurate Retail Series | Apple vs. National Retail Properties |
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 Optimization module to compute new portfolio that will generate highest expected return given your specified tolerance for risk.
Other Complementary Tools
FinTech Suite Use AI to screen and filter profitable investment opportunities | |
Bonds Directory Find actively traded corporate debentures issued by US companies | |
Piotroski F Score Get Piotroski F Score based on the binary analysis strategy of nine different fundamentals | |
Bollinger Bands Use Bollinger Bands indicator to analyze target price for a given investing horizon | |
Equity Forecasting Use basic forecasting models to generate price predictions and determine price momentum |