Correlation Between Jakarta Int and Bank Maybank
Can any of the company-specific risk be diversified away by investing in both Jakarta Int and Bank Maybank 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 Jakarta Int and Bank Maybank into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Jakarta Int Hotels and Bank Maybank Indonesia, you can compare the effects of market volatilities on Jakarta Int and Bank Maybank 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 Jakarta Int with a short position of Bank Maybank. Check out your portfolio center. Please also check ongoing floating volatility patterns of Jakarta Int and Bank Maybank.
Diversification Opportunities for Jakarta Int and Bank Maybank
0.85 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between Jakarta and Bank is 0.85. Overlapping area represents the amount of risk that can be diversified away by holding Jakarta Int Hotels and Bank Maybank Indonesia in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Bank Maybank Indonesia and Jakarta Int 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 Jakarta Int Hotels are associated (or correlated) with Bank Maybank. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Bank Maybank Indonesia has no effect on the direction of Jakarta Int i.e., Jakarta Int and Bank Maybank go up and down completely randomly.
Pair Corralation between Jakarta Int and Bank Maybank
Assuming the 90 days trading horizon Jakarta Int Hotels is expected to under-perform the Bank Maybank. In addition to that, Jakarta Int is 5.91 times more volatile than Bank Maybank Indonesia. It trades about -0.13 of its total potential returns per unit of risk. Bank Maybank Indonesia is currently generating about -0.13 per unit of volatility. If you would invest 20,800 in Bank Maybank Indonesia on December 30, 2024 and sell it today you would lose (1,800) from holding Bank Maybank Indonesia or give up 8.65% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Jakarta Int Hotels vs. Bank Maybank Indonesia
Performance |
Timeline |
Jakarta Int Hotels |
Bank Maybank Indonesia |
Jakarta Int and Bank Maybank Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Jakarta Int and Bank Maybank
The main advantage of trading using opposite Jakarta Int and Bank Maybank positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Jakarta Int position performs unexpectedly, Bank Maybank 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 Bank Maybank will offset losses from the drop in Bank Maybank's long position.Jakarta Int vs. Jaya Real Property | Jakarta Int vs. Mnc Land Tbk | Jakarta Int vs. Kawasan Industri Jababeka | Jakarta Int vs. Duta Pertiwi Tbk |
Bank Maybank vs. Bank Cimb Niaga | Bank Maybank vs. Bank Danamon Indonesia | Bank Maybank vs. Bank Pan Indonesia | Bank Maybank vs. Bank Permata Tbk |
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 Volatility Analysis module to get historical volatility and risk analysis based on latest market data.
Other Complementary Tools
Piotroski F Score Get Piotroski F Score based on the binary analysis strategy of nine different fundamentals | |
Content Syndication Quickly integrate customizable finance content to your own investment portal | |
Sectors List of equity sectors categorizing publicly traded companies based on their primary business activities | |
Commodity Directory Find actively traded commodities issued by global exchanges | |
Portfolio Manager State of the art Portfolio Manager to monitor and improve performance of your invested capital |