Correlation Between Basic Materials and Financial Services
Can any of the company-specific risk be diversified away by investing in both Basic Materials and Financial Services 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 Basic Materials and Financial Services into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Basic Materials Fund and Financial Services Fund, you can compare the effects of market volatilities on Basic Materials and Financial Services 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 Basic Materials with a short position of Financial Services. Check out your portfolio center. Please also check ongoing floating volatility patterns of Basic Materials and Financial Services.
Diversification Opportunities for Basic Materials and Financial Services
0.16 | Correlation Coefficient |
Average diversification
The 3 months correlation between Basic and Financial is 0.16. Overlapping area represents the amount of risk that can be diversified away by holding Basic Materials Fund and Financial Services Fund in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Financial Services and Basic Materials 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 Basic Materials Fund are associated (or correlated) with Financial Services. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Financial Services has no effect on the direction of Basic Materials i.e., Basic Materials and Financial Services go up and down completely randomly.
Pair Corralation between Basic Materials and Financial Services
Assuming the 90 days horizon Basic Materials Fund is expected to under-perform the Financial Services. In addition to that, Basic Materials is 3.22 times more volatile than Financial Services Fund. It trades about -0.12 of its total potential returns per unit of risk. Financial Services Fund is currently generating about 0.03 per unit of volatility. If you would invest 8,285 in Financial Services Fund on October 6, 2024 and sell it today you would earn a total of 116.00 from holding Financial Services Fund or generate 1.4% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Basic Materials Fund vs. Financial Services Fund
Performance |
Timeline |
Basic Materials |
Financial Services |
Basic Materials and Financial Services Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Basic Materials and Financial Services
The main advantage of trading using opposite Basic Materials and Financial Services positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Basic Materials position performs unexpectedly, Financial Services 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 Financial Services will offset losses from the drop in Financial Services' long position.Basic Materials vs. Energy Fund Class | Basic Materials vs. Energy Services Fund | Basic Materials vs. Health Care Fund | Basic Materials vs. Banking Fund Class |
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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 Piotroski F Score module to get Piotroski F Score based on the binary analysis strategy of nine different fundamentals.
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