Correlation Between Sihui Fuji and Jason Furniture
Specify exactly 2 symbols:
By analyzing existing cross correlation between Sihui Fuji Electronics and Jason Furniture, you can compare the effects of market volatilities on Sihui Fuji and Jason Furniture 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 Sihui Fuji with a short position of Jason Furniture. Check out your portfolio center. Please also check ongoing floating volatility patterns of Sihui Fuji and Jason Furniture.
Diversification Opportunities for Sihui Fuji and Jason Furniture
0.75 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Sihui and Jason is 0.75. Overlapping area represents the amount of risk that can be diversified away by holding Sihui Fuji Electronics and Jason Furniture in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Jason Furniture and Sihui Fuji 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 Sihui Fuji Electronics are associated (or correlated) with Jason Furniture. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Jason Furniture has no effect on the direction of Sihui Fuji i.e., Sihui Fuji and Jason Furniture go up and down completely randomly.
Pair Corralation between Sihui Fuji and Jason Furniture
Assuming the 90 days trading horizon Sihui Fuji Electronics is expected to generate 0.72 times more return on investment than Jason Furniture. However, Sihui Fuji Electronics is 1.39 times less risky than Jason Furniture. It trades about 0.19 of its potential returns per unit of risk. Jason Furniture is currently generating about 0.05 per unit of risk. If you would invest 2,556 in Sihui Fuji Electronics on September 24, 2024 and sell it today you would earn a total of 211.00 from holding Sihui Fuji Electronics or generate 8.26% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Sihui Fuji Electronics vs. Jason Furniture
Performance |
Timeline |
Sihui Fuji Electronics |
Jason Furniture |
Sihui Fuji and Jason Furniture Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Sihui Fuji and Jason Furniture
The main advantage of trading using opposite Sihui Fuji and Jason Furniture positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Sihui Fuji position performs unexpectedly, Jason Furniture 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 Jason Furniture will offset losses from the drop in Jason Furniture's long position.Sihui Fuji vs. Jason Furniture | Sihui Fuji vs. Bus Online Co | Sihui Fuji vs. BTG Hotels Group | Sihui Fuji vs. Nanxing Furniture Machinery |
Jason Furniture vs. Agricultural Bank of | Jason Furniture vs. Industrial and Commercial | Jason Furniture vs. Bank of China | Jason Furniture vs. China Construction Bank |
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 Crypto Correlations module to use cryptocurrency correlation module to diversify your cryptocurrency portfolio across multiple coins.
Other Complementary Tools
Funds Screener Find actively-traded funds from around the world traded on over 30 global exchanges | |
Performance Analysis Check effects of mean-variance optimization against your current asset allocation | |
Watchlist Optimization Optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm | |
Transaction History View history of all your transactions and understand their impact on performance | |
Insider Screener Find insiders across different sectors to evaluate their impact on performance |