Correlation Between Bambuser and Sinch AB
Can any of the company-specific risk be diversified away by investing in both Bambuser and Sinch AB 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 Bambuser and Sinch AB into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Bambuser AB and Sinch AB, you can compare the effects of market volatilities on Bambuser and Sinch AB 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 Bambuser with a short position of Sinch AB. Check out your portfolio center. Please also check ongoing floating volatility patterns of Bambuser and Sinch AB.
Diversification Opportunities for Bambuser and Sinch AB
Poor diversification
The 3 months correlation between Bambuser and Sinch is 0.79. Overlapping area represents the amount of risk that can be diversified away by holding Bambuser AB and Sinch AB in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Sinch AB and Bambuser 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 Bambuser AB are associated (or correlated) with Sinch AB. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Sinch AB has no effect on the direction of Bambuser i.e., Bambuser and Sinch AB go up and down completely randomly.
Pair Corralation between Bambuser and Sinch AB
Assuming the 90 days trading horizon Bambuser AB is expected to generate 1.36 times more return on investment than Sinch AB. However, Bambuser is 1.36 times more volatile than Sinch AB. It trades about -0.08 of its potential returns per unit of risk. Sinch AB is currently generating about -0.15 per unit of risk. If you would invest 90.00 in Bambuser AB on September 27, 2024 and sell it today you would lose (30.00) from holding Bambuser AB or give up 33.33% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Bambuser AB vs. Sinch AB
Performance |
Timeline |
Bambuser AB |
Sinch AB |
Bambuser and Sinch AB Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Bambuser and Sinch AB
The main advantage of trading using opposite Bambuser and Sinch AB positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Bambuser position performs unexpectedly, Sinch AB 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 Sinch AB will offset losses from the drop in Sinch AB's long position.Bambuser vs. FormPipe Software AB | Bambuser vs. MOBA Network publ | Bambuser vs. Exsitec Holding AB | Bambuser vs. Novotek AB |
Sinch AB vs. Embracer Group AB | Sinch AB vs. Samhllsbyggnadsbolaget i Norden | Sinch AB vs. Evolution AB | Sinch AB vs. Stillfront Group 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 Competition Analyzer module to analyze and compare many basic indicators for a group of related or unrelated entities.
Other Complementary Tools
Pattern Recognition Use different Pattern Recognition models to time the market across multiple global exchanges | |
Economic Indicators Top statistical indicators that provide insights into how an economy is performing | |
Portfolio Volatility Check portfolio volatility and analyze historical return density to properly model market risk | |
Insider Screener Find insiders across different sectors to evaluate their impact on performance | |
Portfolio Suggestion Get suggestions outside of your existing asset allocation including your own model portfolios |