Correlation Between Bank Maspion and Bk Harda
Can any of the company-specific risk be diversified away by investing in both Bank Maspion and Bk Harda 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 Bank Maspion and Bk Harda into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Bank Maspion Indonesia and Bk Harda Internasional, you can compare the effects of market volatilities on Bank Maspion and Bk Harda 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 Bank Maspion with a short position of Bk Harda. Check out your portfolio center. Please also check ongoing floating volatility patterns of Bank Maspion and Bk Harda.
Diversification Opportunities for Bank Maspion and Bk Harda
0.8 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between Bank and BBHI is 0.8. Overlapping area represents the amount of risk that can be diversified away by holding Bank Maspion Indonesia and Bk Harda Internasional in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Bk Harda Internasional and Bank Maspion 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 Bank Maspion Indonesia are associated (or correlated) with Bk Harda. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Bk Harda Internasional has no effect on the direction of Bank Maspion i.e., Bank Maspion and Bk Harda go up and down completely randomly.
Pair Corralation between Bank Maspion and Bk Harda
Assuming the 90 days trading horizon Bank Maspion Indonesia is expected to under-perform the Bk Harda. But the stock apears to be less risky and, when comparing its historical volatility, Bank Maspion Indonesia is 3.93 times less risky than Bk Harda. The stock trades about -0.27 of its potential returns per unit of risk. The Bk Harda Internasional is currently generating about 0.02 of returns per unit of risk over similar time horizon. If you would invest 70,000 in Bk Harda Internasional on December 29, 2024 and sell it today you would lose (3,000) from holding Bk Harda Internasional or give up 4.29% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Bank Maspion Indonesia vs. Bk Harda Internasional
Performance |
Timeline |
Bank Maspion Indonesia |
Bk Harda Internasional |
Bank Maspion and Bk Harda Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Bank Maspion and Bk Harda
The main advantage of trading using opposite Bank Maspion and Bk Harda positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Bank Maspion position performs unexpectedly, Bk Harda 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 Bk Harda will offset losses from the drop in Bk Harda's long position.Bank Maspion vs. Bank Mestika Dharma | Bank Maspion vs. Bank Sinarmas Tbk | Bank Maspion vs. Bank Ina Perdana | Bank Maspion vs. Bank Qnb Indonesia |
Bk Harda vs. Bank Artos Indonesia | Bk Harda vs. Bank Yudha Bhakti | Bk Harda vs. Bank Ganesha Tbk | Bk Harda vs. Bank Rakyat Indonesia |
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.
Other Complementary Tools
Sectors List of equity sectors categorizing publicly traded companies based on their primary business activities | |
Top Crypto Exchanges Search and analyze digital assets across top global cryptocurrency exchanges | |
Options Analysis Analyze and evaluate options and option chains as a potential hedge for your portfolios | |
Funds Screener Find actively-traded funds from around the world traded on over 30 global exchanges | |
Fundamentals Comparison Compare fundamentals across multiple equities to find investing opportunities |