Correlation Between VERISK ANLYTCS and Hafnia
Can any of the company-specific risk be diversified away by investing in both VERISK ANLYTCS and Hafnia 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 VERISK ANLYTCS and Hafnia into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between VERISK ANLYTCS A and Hafnia Limited, you can compare the effects of market volatilities on VERISK ANLYTCS and Hafnia 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 VERISK ANLYTCS with a short position of Hafnia. Check out your portfolio center. Please also check ongoing floating volatility patterns of VERISK ANLYTCS and Hafnia.
Diversification Opportunities for VERISK ANLYTCS and Hafnia
-0.9 | Correlation Coefficient |
Pay attention - limited upside
The 3 months correlation between VERISK and Hafnia is -0.9. Overlapping area represents the amount of risk that can be diversified away by holding VERISK ANLYTCS A and Hafnia Limited in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Hafnia Limited and VERISK ANLYTCS 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 VERISK ANLYTCS A are associated (or correlated) with Hafnia. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Hafnia Limited has no effect on the direction of VERISK ANLYTCS i.e., VERISK ANLYTCS and Hafnia go up and down completely randomly.
Pair Corralation between VERISK ANLYTCS and Hafnia
Assuming the 90 days trading horizon VERISK ANLYTCS A is expected to under-perform the Hafnia. But the stock apears to be less risky and, when comparing its historical volatility, VERISK ANLYTCS A is 6.29 times less risky than Hafnia. The stock trades about -0.22 of its potential returns per unit of risk. The Hafnia Limited is currently generating about 0.13 of returns per unit of risk over similar time horizon. If you would invest 475.00 in Hafnia Limited on September 23, 2024 and sell it today you would earn a total of 23.00 from holding Hafnia Limited or generate 4.84% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Significant |
Accuracy | 54.55% |
Values | Daily Returns |
VERISK ANLYTCS A vs. Hafnia Limited
Performance |
Timeline |
VERISK ANLYTCS A |
Hafnia Limited |
Risk-Adjusted Performance
0 of 100
Weak | Strong |
Very Weak
VERISK ANLYTCS and Hafnia Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with VERISK ANLYTCS and Hafnia
The main advantage of trading using opposite VERISK ANLYTCS and Hafnia positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if VERISK ANLYTCS position performs unexpectedly, Hafnia 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 Hafnia will offset losses from the drop in Hafnia's long position.VERISK ANLYTCS vs. Apple Inc | VERISK ANLYTCS vs. Apple Inc | VERISK ANLYTCS vs. Apple Inc | VERISK ANLYTCS vs. Apple Inc |
Hafnia vs. COMMERCIAL VEHICLE | Hafnia vs. Carsales | Hafnia vs. Amkor Technology | Hafnia vs. Sunny Optical Technology |
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 Headlines Timeline module to stay connected to all market stories and filter out noise. Drill down to analyze hype elasticity.
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