Correlation Between AXISCADES Technologies and General Insurance
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By analyzing existing cross correlation between AXISCADES Technologies Limited and General Insurance, you can compare the effects of market volatilities on AXISCADES Technologies and General Insurance 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 AXISCADES Technologies with a short position of General Insurance. Check out your portfolio center. Please also check ongoing floating volatility patterns of AXISCADES Technologies and General Insurance.
Diversification Opportunities for AXISCADES Technologies and General Insurance
-0.23 | Correlation Coefficient |
Very good diversification
The 3 months correlation between AXISCADES and General is -0.23. Overlapping area represents the amount of risk that can be diversified away by holding AXISCADES Technologies Limited and General Insurance in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on General Insurance and AXISCADES Technologies 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 AXISCADES Technologies Limited are associated (or correlated) with General Insurance. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of General Insurance has no effect on the direction of AXISCADES Technologies i.e., AXISCADES Technologies and General Insurance go up and down completely randomly.
Pair Corralation between AXISCADES Technologies and General Insurance
Assuming the 90 days trading horizon AXISCADES Technologies Limited is expected to generate 1.14 times more return on investment than General Insurance. However, AXISCADES Technologies is 1.14 times more volatile than General Insurance. It trades about 0.16 of its potential returns per unit of risk. General Insurance is currently generating about -0.04 per unit of risk. If you would invest 64,180 in AXISCADES Technologies Limited on December 27, 2024 and sell it today you would earn a total of 25,620 from holding AXISCADES Technologies Limited or generate 39.92% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 98.39% |
Values | Daily Returns |
AXISCADES Technologies Limited vs. General Insurance
Performance |
Timeline |
AXISCADES Technologies |
General Insurance |
AXISCADES Technologies and General Insurance Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with AXISCADES Technologies and General Insurance
The main advantage of trading using opposite AXISCADES Technologies and General Insurance positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if AXISCADES Technologies position performs unexpectedly, General Insurance 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 General Insurance will offset losses from the drop in General Insurance's long position.AXISCADES Technologies vs. GM Breweries Limited | AXISCADES Technologies vs. MAS Financial Services | AXISCADES Technologies vs. ICICI Bank Limited | AXISCADES Technologies vs. Kotak Mahindra Bank |
General Insurance vs. Hisar Metal Industries | General Insurance vs. Ratnamani Metals Tubes | General Insurance vs. Shyam Metalics and | General Insurance vs. Lakshmi Finance Industrial |
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 Portfolio Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.
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