Correlation Between Viva Leisure and Insurance Australia
Can any of the company-specific risk be diversified away by investing in both Viva Leisure and Insurance Australia 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 Viva Leisure and Insurance Australia into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Viva Leisure and Insurance Australia Group, you can compare the effects of market volatilities on Viva Leisure and Insurance Australia 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 Viva Leisure with a short position of Insurance Australia. Check out your portfolio center. Please also check ongoing floating volatility patterns of Viva Leisure and Insurance Australia.
Diversification Opportunities for Viva Leisure and Insurance Australia
0.3 | Correlation Coefficient |
Weak diversification
The 3 months correlation between Viva and Insurance is 0.3. Overlapping area represents the amount of risk that can be diversified away by holding Viva Leisure and Insurance Australia Group in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Insurance Australia and Viva Leisure 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 Viva Leisure are associated (or correlated) with Insurance Australia. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Insurance Australia has no effect on the direction of Viva Leisure i.e., Viva Leisure and Insurance Australia go up and down completely randomly.
Pair Corralation between Viva Leisure and Insurance Australia
Assuming the 90 days trading horizon Viva Leisure is expected to under-perform the Insurance Australia. But the stock apears to be less risky and, when comparing its historical volatility, Viva Leisure is 1.04 times less risky than Insurance Australia. The stock trades about -0.22 of its potential returns per unit of risk. The Insurance Australia Group is currently generating about -0.01 of returns per unit of risk over similar time horizon. If you would invest 859.00 in Insurance Australia Group on October 18, 2024 and sell it today you would lose (5.00) from holding Insurance Australia Group or give up 0.58% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Viva Leisure vs. Insurance Australia Group
Performance |
Timeline |
Viva Leisure |
Insurance Australia |
Viva Leisure and Insurance Australia Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Viva Leisure and Insurance Australia
The main advantage of trading using opposite Viva Leisure and Insurance Australia positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Viva Leisure position performs unexpectedly, Insurance Australia 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 Australia will offset losses from the drop in Insurance Australia's long position.Viva Leisure vs. Stelar Metals | Viva Leisure vs. Centaurus Metals | Viva Leisure vs. ARN Media Limited | Viva Leisure vs. Maggie Beer Holdings |
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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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