Correlation Between RELIANCE STEEL and Platinum Investment
Can any of the company-specific risk be diversified away by investing in both RELIANCE STEEL and Platinum Investment 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 RELIANCE STEEL and Platinum Investment into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between RELIANCE STEEL AL and Platinum Investment Management, you can compare the effects of market volatilities on RELIANCE STEEL and Platinum Investment 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 RELIANCE STEEL with a short position of Platinum Investment. Check out your portfolio center. Please also check ongoing floating volatility patterns of RELIANCE STEEL and Platinum Investment.
Diversification Opportunities for RELIANCE STEEL and Platinum Investment
-0.41 | Correlation Coefficient |
Very good diversification
The 3 months correlation between RELIANCE and Platinum is -0.41. Overlapping area represents the amount of risk that can be diversified away by holding RELIANCE STEEL AL and Platinum Investment Management in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Platinum Investment and RELIANCE STEEL 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 RELIANCE STEEL AL are associated (or correlated) with Platinum Investment. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Platinum Investment has no effect on the direction of RELIANCE STEEL i.e., RELIANCE STEEL and Platinum Investment go up and down completely randomly.
Pair Corralation between RELIANCE STEEL and Platinum Investment
Assuming the 90 days trading horizon RELIANCE STEEL AL is expected to generate 0.47 times more return on investment than Platinum Investment. However, RELIANCE STEEL AL is 2.13 times less risky than Platinum Investment. It trades about 0.01 of its potential returns per unit of risk. Platinum Investment Management is currently generating about -0.02 per unit of risk. If you would invest 25,507 in RELIANCE STEEL AL on September 24, 2024 and sell it today you would lose (27.00) from holding RELIANCE STEEL AL or give up 0.11% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
RELIANCE STEEL AL vs. Platinum Investment Management
Performance |
Timeline |
RELIANCE STEEL AL |
Platinum Investment |
RELIANCE STEEL and Platinum Investment Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with RELIANCE STEEL and Platinum Investment
The main advantage of trading using opposite RELIANCE STEEL and Platinum Investment positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if RELIANCE STEEL position performs unexpectedly, Platinum Investment 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 Platinum Investment will offset losses from the drop in Platinum Investment's long position.RELIANCE STEEL vs. Apple Inc | RELIANCE STEEL vs. Apple Inc | RELIANCE STEEL vs. Apple Inc | RELIANCE STEEL vs. Microsoft |
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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 Equity Forecasting module to use basic forecasting models to generate price predictions and determine price momentum.
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