Correlation Between Wahana Ottomitra and Bank Pan
Can any of the company-specific risk be diversified away by investing in both Wahana Ottomitra and Bank Pan 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 Wahana Ottomitra and Bank Pan into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Wahana Ottomitra Multiartha and Bank Pan Indonesia, you can compare the effects of market volatilities on Wahana Ottomitra and Bank Pan 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 Wahana Ottomitra with a short position of Bank Pan. Check out your portfolio center. Please also check ongoing floating volatility patterns of Wahana Ottomitra and Bank Pan.
Diversification Opportunities for Wahana Ottomitra and Bank Pan
-0.3 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Wahana and Bank is -0.3. Overlapping area represents the amount of risk that can be diversified away by holding Wahana Ottomitra Multiartha and Bank Pan Indonesia in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Bank Pan Indonesia and Wahana Ottomitra 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 Wahana Ottomitra Multiartha are associated (or correlated) with Bank Pan. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Bank Pan Indonesia has no effect on the direction of Wahana Ottomitra i.e., Wahana Ottomitra and Bank Pan go up and down completely randomly.
Pair Corralation between Wahana Ottomitra and Bank Pan
Assuming the 90 days trading horizon Wahana Ottomitra Multiartha is expected to generate 0.58 times more return on investment than Bank Pan. However, Wahana Ottomitra Multiartha is 1.72 times less risky than Bank Pan. It trades about -0.11 of its potential returns per unit of risk. Bank Pan Indonesia is currently generating about -0.16 per unit of risk. If you would invest 37,400 in Wahana Ottomitra Multiartha on August 29, 2024 and sell it today you would lose (1,200) from holding Wahana Ottomitra Multiartha or give up 3.21% of portfolio value over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Against |
| Strength | Insignificant |
| Accuracy | 100.0% |
| Values | Daily Returns |
Wahana Ottomitra Multiartha vs. Bank Pan Indonesia
Performance |
| Timeline |
| Wahana Ottomitra Mul |
| Bank Pan Indonesia |
Wahana Ottomitra and Bank Pan Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Wahana Ottomitra and Bank Pan
The main advantage of trading using opposite Wahana Ottomitra and Bank Pan positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Wahana Ottomitra position performs unexpectedly, Bank Pan 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 Pan will offset losses from the drop in Bank Pan's long position.| Wahana Ottomitra vs. Trimegah Securities Tbk | Wahana Ottomitra vs. Clipan Finance Indonesia | Wahana Ottomitra vs. Adira Dinamika Multi | Wahana Ottomitra vs. Paninvest Tbk |
| Bank Pan vs. Bank Danamon Indonesia | Bank Pan vs. Bank Cimb Niaga | Bank Pan vs. Panin Financial Tbk | Bank Pan vs. Bank Maybank 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 Commodity Directory module to find actively traded commodities issued by global exchanges.
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