Correlation Between Semtech and Flex
Can any of the company-specific risk be diversified away by investing in both Semtech and Flex 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 Semtech and Flex into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Semtech and Flex, you can compare the effects of market volatilities on Semtech and Flex 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 Semtech with a short position of Flex. Check out your portfolio center. Please also check ongoing floating volatility patterns of Semtech and Flex.
Diversification Opportunities for Semtech and Flex
Poor diversification
The 3 months correlation between Semtech and Flex is 0.61. Overlapping area represents the amount of risk that can be diversified away by holding Semtech and Flex in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Flex and Semtech 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 Semtech are associated (or correlated) with Flex. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Flex has no effect on the direction of Semtech i.e., Semtech and Flex go up and down completely randomly.
Pair Corralation between Semtech and Flex
Given the investment horizon of 90 days Semtech is expected to under-perform the Flex. In addition to that, Semtech is 2.56 times more volatile than Flex. It trades about -0.06 of its total potential returns per unit of risk. Flex is currently generating about -0.05 per unit of volatility. If you would invest 3,863 in Flex on December 28, 2024 and sell it today you would lose (417.00) from holding Flex or give up 10.79% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Semtech vs. Flex
Performance |
Timeline |
Semtech |
Flex |
Semtech and Flex Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Semtech and Flex
The main advantage of trading using opposite Semtech and Flex positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Semtech position performs unexpectedly, Flex 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 Flex will offset losses from the drop in Flex's long position.Semtech vs. Power Integrations | Semtech vs. Diodes Incorporated | Semtech vs. MACOM Technology Solutions | Semtech vs. Cirrus Logic |
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 Idea Breakdown module to analyze constituents of all Macroaxis ideas. Macroaxis investment ideas are predefined, sector-focused investing themes.
Other Complementary Tools
USA ETFs Find actively traded Exchange Traded Funds (ETF) in USA | |
Pattern Recognition Use different Pattern Recognition models to time the market across multiple global exchanges | |
Aroon Oscillator Analyze current equity momentum using Aroon Oscillator and other momentum ratios | |
Technical Analysis Check basic technical indicators and analysis based on most latest market data | |
Watchlist Optimization Optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm |