Correlation Between Karsten SA and Electro Ao
Can any of the company-specific risk be diversified away by investing in both Karsten SA and Electro Ao 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 Karsten SA and Electro Ao into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Karsten SA and Electro Ao Altona, you can compare the effects of market volatilities on Karsten SA and Electro Ao 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 Karsten SA with a short position of Electro Ao. Check out your portfolio center. Please also check ongoing floating volatility patterns of Karsten SA and Electro Ao.
Diversification Opportunities for Karsten SA and Electro Ao
-0.43 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Karsten and Electro is -0.43. Overlapping area represents the amount of risk that can be diversified away by holding Karsten SA and Electro Ao Altona in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Electro Ao Altona and Karsten SA 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 Karsten SA are associated (or correlated) with Electro Ao. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Electro Ao Altona has no effect on the direction of Karsten SA i.e., Karsten SA and Electro Ao go up and down completely randomly.
Pair Corralation between Karsten SA and Electro Ao
Assuming the 90 days trading horizon Karsten SA is expected to generate 1.56 times more return on investment than Electro Ao. However, Karsten SA is 1.56 times more volatile than Electro Ao Altona. It trades about 0.13 of its potential returns per unit of risk. Electro Ao Altona is currently generating about 0.13 per unit of risk. If you would invest 2,061 in Karsten SA on October 24, 2024 and sell it today you would earn a total of 129.00 from holding Karsten SA or generate 6.26% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 94.74% |
Values | Daily Returns |
Karsten SA vs. Electro Ao Altona
Performance |
Timeline |
Karsten SA |
Electro Ao Altona |
Karsten SA and Electro Ao Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Karsten SA and Electro Ao
The main advantage of trading using opposite Karsten SA and Electro Ao positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Karsten SA position performs unexpectedly, Electro Ao 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 Electro Ao will offset losses from the drop in Electro Ao's long position.Karsten SA vs. Companhia de Tecidos | Karsten SA vs. Pettenati SA Industria | Karsten SA vs. Companhia Tecidos Santanense | Karsten SA vs. Dhler SA |
Electro Ao vs. Microchip Technology Incorporated | Electro Ao vs. United States Steel | Electro Ao vs. The Trade Desk | Electro Ao vs. salesforce inc |
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 Analysis module to research over 250,000 global equities including funds, stocks and ETFs to find investment opportunities.
Other Complementary Tools
Insider Screener Find insiders across different sectors to evaluate their impact on performance | |
Watchlist Optimization Optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm | |
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 | |
ETFs Find actively traded Exchange Traded Funds (ETF) from around the world | |
Content Syndication Quickly integrate customizable finance content to your own investment portal |