Correlation Between FLOW TRADERS and INSURANCE AUST
Can any of the company-specific risk be diversified away by investing in both FLOW TRADERS and INSURANCE AUST 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 FLOW TRADERS and INSURANCE AUST into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between FLOW TRADERS LTD and INSURANCE AUST GRP, you can compare the effects of market volatilities on FLOW TRADERS and INSURANCE AUST 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 FLOW TRADERS with a short position of INSURANCE AUST. Check out your portfolio center. Please also check ongoing floating volatility patterns of FLOW TRADERS and INSURANCE AUST.
Diversification Opportunities for FLOW TRADERS and INSURANCE AUST
-0.65 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between FLOW and INSURANCE is -0.65. Overlapping area represents the amount of risk that can be diversified away by holding FLOW TRADERS LTD and INSURANCE AUST GRP in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on INSURANCE AUST GRP and FLOW TRADERS 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 FLOW TRADERS LTD are associated (or correlated) with INSURANCE AUST. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of INSURANCE AUST GRP has no effect on the direction of FLOW TRADERS i.e., FLOW TRADERS and INSURANCE AUST go up and down completely randomly.
Pair Corralation between FLOW TRADERS and INSURANCE AUST
Assuming the 90 days horizon FLOW TRADERS LTD is expected to generate 1.05 times more return on investment than INSURANCE AUST. However, FLOW TRADERS is 1.05 times more volatile than INSURANCE AUST GRP. It trades about 0.15 of its potential returns per unit of risk. INSURANCE AUST GRP is currently generating about -0.07 per unit of risk. If you would invest 2,214 in FLOW TRADERS LTD on December 20, 2024 and sell it today you would earn a total of 490.00 from holding FLOW TRADERS LTD or generate 22.13% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
FLOW TRADERS LTD vs. INSURANCE AUST GRP
Performance |
Timeline |
FLOW TRADERS LTD |
INSURANCE AUST GRP |
FLOW TRADERS and INSURANCE AUST Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with FLOW TRADERS and INSURANCE AUST
The main advantage of trading using opposite FLOW TRADERS and INSURANCE AUST positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if FLOW TRADERS position performs unexpectedly, INSURANCE AUST 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 INSURANCE AUST will offset losses from the drop in INSURANCE AUST's long position.FLOW TRADERS vs. GEELY AUTOMOBILE | FLOW TRADERS vs. Cleanaway Waste Management | FLOW TRADERS vs. Clean Energy Fuels | FLOW TRADERS vs. SHELF DRILLING LTD |
INSURANCE AUST vs. UNIVERSAL DISPLAY | INSURANCE AUST vs. PLAYMATES TOYS | INSURANCE AUST vs. TAL Education Group | INSURANCE AUST vs. Universal Display |
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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