Correlation Between Class III and Sugar
Can any of the company-specific risk be diversified away by investing in both Class III and Sugar 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 Class III and Sugar into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Class III Milk and Sugar, you can compare the effects of market volatilities on Class III and Sugar 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 Class III with a short position of Sugar. Check out your portfolio center. Please also check ongoing floating volatility patterns of Class III and Sugar.
Diversification Opportunities for Class III and Sugar
Average diversification
The 3 months correlation between Class and Sugar is 0.17. Overlapping area represents the amount of risk that can be diversified away by holding Class III Milk and Sugar in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Sugar and Class III 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 Class III Milk are associated (or correlated) with Sugar. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Sugar has no effect on the direction of Class III i.e., Class III and Sugar go up and down completely randomly.
Pair Corralation between Class III and Sugar
Assuming the 90 days horizon Class III Milk is expected to under-perform the Sugar. In addition to that, Class III is 1.18 times more volatile than Sugar. It trades about -0.14 of its total potential returns per unit of risk. Sugar is currently generating about 0.1 per unit of volatility. If you would invest 1,907 in Sugar on September 12, 2024 and sell it today you would earn a total of 225.00 from holding Sugar or generate 11.8% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 98.46% |
Values | Daily Returns |
Class III Milk vs. Sugar
Performance |
Timeline |
Class III Milk |
Sugar |
Class III and Sugar Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Class III and Sugar
The main advantage of trading using opposite Class III and Sugar positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Class III position performs unexpectedly, Sugar 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 Sugar will offset losses from the drop in Sugar's long position.Class III vs. Cocoa | Class III vs. Lean Hogs Futures | Class III vs. Five Year Treasury Note | Class III vs. Cotton |
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 Theme Ratings module to determine theme ratings based on digital equity recommendations. Macroaxis theme ratings are based on combination of fundamental analysis and risk-adjusted market performance.
Other Complementary Tools
ETFs Find actively traded Exchange Traded Funds (ETF) from around the world | |
My Watchlist Analysis Analyze my current watchlist and to refresh optimization strategy. Macroaxis watchlist is based on self-learning algorithm to remember stocks you like | |
Economic Indicators Top statistical indicators that provide insights into how an economy is performing | |
Watchlist Optimization Optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm | |
Stock Tickers Use high-impact, comprehensive, and customizable stock tickers that can be easily integrated to any websites |