Correlation Between Walker Dunlop and Bank Danamon
Can any of the company-specific risk be diversified away by investing in both Walker Dunlop and Bank Danamon 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 Walker Dunlop and Bank Danamon into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Walker Dunlop and Bank Danamon Indonesia, you can compare the effects of market volatilities on Walker Dunlop and Bank Danamon 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 Walker Dunlop with a short position of Bank Danamon. Check out your portfolio center. Please also check ongoing floating volatility patterns of Walker Dunlop and Bank Danamon.
Diversification Opportunities for Walker Dunlop and Bank Danamon
0.69 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Walker and Bank is 0.69. Overlapping area represents the amount of risk that can be diversified away by holding Walker Dunlop and Bank Danamon Indonesia in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Bank Danamon Indonesia and Walker Dunlop 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 Walker Dunlop are associated (or correlated) with Bank Danamon. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Bank Danamon Indonesia has no effect on the direction of Walker Dunlop i.e., Walker Dunlop and Bank Danamon go up and down completely randomly.
Pair Corralation between Walker Dunlop and Bank Danamon
Allowing for the 90-day total investment horizon Walker Dunlop is expected to under-perform the Bank Danamon. In addition to that, Walker Dunlop is 1.89 times more volatile than Bank Danamon Indonesia. It trades about -0.08 of its total potential returns per unit of risk. Bank Danamon Indonesia is currently generating about -0.07 per unit of volatility. If you would invest 254,000 in Bank Danamon Indonesia on December 28, 2024 and sell it today you would lose (12,000) from holding Bank Danamon Indonesia or give up 4.72% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 98.33% |
Values | Daily Returns |
Walker Dunlop vs. Bank Danamon Indonesia
Performance |
Timeline |
Walker Dunlop |
Bank Danamon Indonesia |
Walker Dunlop and Bank Danamon Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Walker Dunlop and Bank Danamon
The main advantage of trading using opposite Walker Dunlop and Bank Danamon positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Walker Dunlop position performs unexpectedly, Bank Danamon 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 Danamon will offset losses from the drop in Bank Danamon's long position.Walker Dunlop vs. Mr Cooper Group | Walker Dunlop vs. Velocity Financial Llc | Walker Dunlop vs. Security National Financial | Walker Dunlop vs. Encore Capital Group |
Bank Danamon vs. Bank Cimb Niaga | Bank Danamon vs. Indosat Tbk | Bank Danamon vs. Astra Agro Lestari | Bank Danamon vs. Bank Mandiri Persero |
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 Sectors module to list of equity sectors categorizing publicly traded companies based on their primary business activities.
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