Correlation Between Bank Negara and Johnson Matthey
Can any of the company-specific risk be diversified away by investing in both Bank Negara and Johnson Matthey 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 Negara and Johnson Matthey into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Bank Negara Indonesia and Johnson Matthey PLC, you can compare the effects of market volatilities on Bank Negara and Johnson Matthey 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 Negara with a short position of Johnson Matthey. Check out your portfolio center. Please also check ongoing floating volatility patterns of Bank Negara and Johnson Matthey.
Diversification Opportunities for Bank Negara and Johnson Matthey
0.71 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Bank and Johnson is 0.71. Overlapping area represents the amount of risk that can be diversified away by holding Bank Negara Indonesia and Johnson Matthey PLC in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Johnson Matthey PLC and Bank Negara 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 Negara Indonesia are associated (or correlated) with Johnson Matthey. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Johnson Matthey PLC has no effect on the direction of Bank Negara i.e., Bank Negara and Johnson Matthey go up and down completely randomly.
Pair Corralation between Bank Negara and Johnson Matthey
Assuming the 90 days horizon Bank Negara Indonesia is expected to generate 2.24 times more return on investment than Johnson Matthey. However, Bank Negara is 2.24 times more volatile than Johnson Matthey PLC. It trades about -0.03 of its potential returns per unit of risk. Johnson Matthey PLC is currently generating about -0.11 per unit of risk. If you would invest 1,730 in Bank Negara Indonesia on September 14, 2024 and sell it today you would lose (269.00) from holding Bank Negara Indonesia or give up 15.55% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 98.44% |
Values | Daily Returns |
Bank Negara Indonesia vs. Johnson Matthey PLC
Performance |
Timeline |
Bank Negara Indonesia |
Johnson Matthey PLC |
Bank Negara and Johnson Matthey Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Bank Negara and Johnson Matthey
The main advantage of trading using opposite Bank Negara and Johnson Matthey positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Bank Negara position performs unexpectedly, Johnson Matthey 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 Johnson Matthey will offset losses from the drop in Johnson Matthey's long position.Bank Negara vs. Banco Bradesco SA | Bank Negara vs. Itau Unibanco Banco | Bank Negara vs. Lloyds Banking Group | Bank Negara vs. Deutsche Bank AG |
Johnson Matthey vs. Sensient Technologies | Johnson Matthey vs. Koppers Holdings | Johnson Matthey vs. Axalta Coating Systems | Johnson Matthey vs. Select Energy Services |
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 Insider Screener module to find insiders across different sectors to evaluate their impact on performance.
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