Correlation Between Klimator and Sdiptech
Specify exactly 2 symbols:
By analyzing existing cross correlation between Klimator AB and Sdiptech AB, you can compare the effects of market volatilities on Klimator and Sdiptech 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 Klimator with a short position of Sdiptech. Check out your portfolio center. Please also check ongoing floating volatility patterns of Klimator and Sdiptech.
Diversification Opportunities for Klimator and Sdiptech
Poor diversification
The 3 months correlation between Klimator and Sdiptech is 0.7. Overlapping area represents the amount of risk that can be diversified away by holding Klimator AB and Sdiptech AB in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Sdiptech AB and Klimator 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 Klimator AB are associated (or correlated) with Sdiptech. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Sdiptech AB has no effect on the direction of Klimator i.e., Klimator and Sdiptech go up and down completely randomly.
Pair Corralation between Klimator and Sdiptech
Assuming the 90 days trading horizon Klimator is expected to generate 1.34 times less return on investment than Sdiptech. In addition to that, Klimator is 1.33 times more volatile than Sdiptech AB. It trades about 0.09 of its total potential returns per unit of risk. Sdiptech AB is currently generating about 0.16 per unit of volatility. If you would invest 10,927 in Sdiptech AB on May 1, 2025 and sell it today you would earn a total of 2,423 from holding Sdiptech AB or generate 22.17% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Klimator AB vs. Sdiptech AB
Performance |
Timeline |
Klimator AB |
Sdiptech AB |
Klimator and Sdiptech Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Klimator and Sdiptech
The main advantage of trading using opposite Klimator and Sdiptech positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Klimator position performs unexpectedly, Sdiptech 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 Sdiptech will offset losses from the drop in Sdiptech's long position.Klimator vs. Asker Healthcare | Klimator vs. GiG Software PLC | Klimator vs. TradeDoubler AB | Klimator vs. New Nordic Healthbrands |
Sdiptech vs. Sdiptech AB | Sdiptech vs. AB Sagax | Sdiptech vs. Corem Property Group | Sdiptech vs. Volati AB |
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 Stocks Directory module to find actively traded stocks across global markets.
Other Complementary Tools
Stock Tickers Use high-impact, comprehensive, and customizable stock tickers that can be easily integrated to any websites | |
Piotroski F Score Get Piotroski F Score based on the binary analysis strategy of nine different fundamentals | |
Positions Ratings Determine portfolio positions ratings based on digital equity recommendations. Macroaxis instant position ratings are based on combination of fundamental analysis and risk-adjusted market performance | |
Efficient Frontier Plot and analyze your portfolio and positions against risk-return landscape of the market. | |
Watchlist Optimization Optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm |