Correlation Between Sanasa Development and Janashakthi Insurance
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By analyzing existing cross correlation between Sanasa Development Bank and Janashakthi Insurance, you can compare the effects of market volatilities on Sanasa Development and Janashakthi 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 Sanasa Development with a short position of Janashakthi Insurance. Check out your portfolio center. Please also check ongoing floating volatility patterns of Sanasa Development and Janashakthi Insurance.
Diversification Opportunities for Sanasa Development and Janashakthi Insurance
0.88 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between Sanasa and Janashakthi is 0.88. Overlapping area represents the amount of risk that can be diversified away by holding Sanasa Development Bank and Janashakthi Insurance in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Janashakthi Insurance and Sanasa Development 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 Sanasa Development Bank are associated (or correlated) with Janashakthi Insurance. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Janashakthi Insurance has no effect on the direction of Sanasa Development i.e., Sanasa Development and Janashakthi Insurance go up and down completely randomly.
Pair Corralation between Sanasa Development and Janashakthi Insurance
Assuming the 90 days trading horizon Sanasa Development is expected to generate 2.82 times less return on investment than Janashakthi Insurance. But when comparing it to its historical volatility, Sanasa Development Bank is 1.53 times less risky than Janashakthi Insurance. It trades about 0.12 of its potential returns per unit of risk. Janashakthi Insurance is currently generating about 0.23 of returns per unit of risk over similar time horizon. If you would invest 3,800 in Janashakthi Insurance on September 17, 2024 and sell it today you would earn a total of 1,230 from holding Janashakthi Insurance or generate 32.37% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Sanasa Development Bank vs. Janashakthi Insurance
Performance |
Timeline |
Sanasa Development Bank |
Janashakthi Insurance |
Sanasa Development and Janashakthi Insurance Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Sanasa Development and Janashakthi Insurance
The main advantage of trading using opposite Sanasa Development and Janashakthi Insurance positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Sanasa Development position performs unexpectedly, Janashakthi 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 Janashakthi Insurance will offset losses from the drop in Janashakthi Insurance's long position.Sanasa Development vs. Ceylon Guardian Investment | Sanasa Development vs. Lion Brewery Ceylon | Sanasa Development vs. Amaya Leisure PLC | Sanasa Development vs. Ceylon Hospitals PLC |
Janashakthi Insurance vs. Lanka Credit and | Janashakthi Insurance vs. VIDULLANKA PLC | Janashakthi Insurance vs. Carson Cumberbatch PLC | Janashakthi Insurance vs. Peoples Insurance PLC |
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 Investing Opportunities module to build portfolios using our predefined set of ideas and optimize them against your investing preferences.
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