Correlation Between THE PHILIPPINE and Budapest
Can any of the company-specific risk be diversified away by investing in both THE PHILIPPINE and Budapest 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 THE PHILIPPINE and Budapest into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between THE PHILIPPINE STOCK and Budapest SE, you can compare the effects of market volatilities on THE PHILIPPINE and Budapest 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 THE PHILIPPINE with a short position of Budapest. Check out your portfolio center. Please also check ongoing floating volatility patterns of THE PHILIPPINE and Budapest.
Diversification Opportunities for THE PHILIPPINE and Budapest
-0.43 | Correlation Coefficient |
Very good diversification
The 3 months correlation between THE and Budapest is -0.43. Overlapping area represents the amount of risk that can be diversified away by holding THE PHILIPPINE STOCK and Budapest SE in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Budapest SE and THE PHILIPPINE 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 THE PHILIPPINE STOCK are associated (or correlated) with Budapest. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Budapest SE has no effect on the direction of THE PHILIPPINE i.e., THE PHILIPPINE and Budapest go up and down completely randomly.
Pair Corralation between THE PHILIPPINE and Budapest
Assuming the 90 days trading horizon THE PHILIPPINE STOCK is expected to under-perform the Budapest. In addition to that, THE PHILIPPINE is 1.61 times more volatile than Budapest SE. It trades about -0.25 of its total potential returns per unit of risk. Budapest SE is currently generating about 0.34 per unit of volatility. If you would invest 7,422,568 in Budapest SE on August 30, 2024 and sell it today you would earn a total of 480,832 from holding Budapest SE or generate 6.48% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
THE PHILIPPINE STOCK vs. Budapest SE
Performance |
Timeline |
THE PHILIPPINE and Budapest Volatility Contrast
Predicted Return Density |
Returns |
THE PHILIPPINE STOCK
Pair trading matchups for THE PHILIPPINE
Budapest SE
Pair trading matchups for Budapest
Pair Trading with THE PHILIPPINE and Budapest
The main advantage of trading using opposite THE PHILIPPINE and Budapest positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if THE PHILIPPINE position performs unexpectedly, Budapest 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 Budapest will offset losses from the drop in Budapest's long position.THE PHILIPPINE vs. Lepanto Consolidated Mining | THE PHILIPPINE vs. Top Frontier Investment | THE PHILIPPINE vs. Jollibee Foods Corp | THE PHILIPPINE vs. Apex Mining Co |
Budapest vs. Nutex Investments PLC | Budapest vs. NordTelekom Telecommunications Service | Budapest vs. Commerzbank AG | Budapest vs. Delta Technologies Nyrt |
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 Idea Analyzer module to analyze all characteristics, volatility and risk-adjusted return of Macroaxis ideas.
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