Correlation Between Budapest and Basic Materials
Can any of the company-specific risk be diversified away by investing in both Budapest and Basic Materials 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 Budapest and Basic Materials into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Budapest SE and Basic Materials, you can compare the effects of market volatilities on Budapest and Basic Materials 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 Budapest with a short position of Basic Materials. Check out your portfolio center. Please also check ongoing floating volatility patterns of Budapest and Basic Materials.
Diversification Opportunities for Budapest and Basic Materials
0.38 | Correlation Coefficient |
Weak diversification
The 3 months correlation between Budapest and Basic is 0.38. Overlapping area represents the amount of risk that can be diversified away by holding Budapest SE and Basic Materials in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Basic Materials and Budapest 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 Budapest SE are associated (or correlated) with Basic Materials. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Basic Materials has no effect on the direction of Budapest i.e., Budapest and Basic Materials go up and down completely randomly.
Pair Corralation between Budapest and Basic Materials
Assuming the 90 days trading horizon Budapest SE is expected to generate 0.59 times more return on investment than Basic Materials. However, Budapest SE is 1.7 times less risky than Basic Materials. It trades about 0.19 of its potential returns per unit of risk. Basic Materials is currently generating about 0.05 per unit of risk. If you would invest 7,286,531 in Budapest SE on August 30, 2024 and sell it today you would earn a total of 616,869 from holding Budapest SE or generate 8.47% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 98.41% |
Values | Daily Returns |
Budapest SE vs. Basic Materials
Performance |
Timeline |
Budapest and Basic Materials Volatility Contrast
Predicted Return Density |
Returns |
Budapest SE
Pair trading matchups for Budapest
Basic Materials
Pair trading matchups for Basic Materials
Pair Trading with Budapest and Basic Materials
The main advantage of trading using opposite Budapest and Basic Materials positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Budapest position performs unexpectedly, Basic Materials 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 Basic Materials will offset losses from the drop in Basic Materials' long position.Budapest vs. Nutex Investments PLC | Budapest vs. NordTelekom Telecommunications Service | Budapest vs. Commerzbank AG | Budapest vs. Delta Technologies Nyrt |
Basic Materials vs. CM Hospitalar SA | Basic Materials vs. Metalurgica Gerdau SA | Basic Materials vs. Broadcom | Basic Materials vs. Multilaser Industrial SA |
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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