Correlation Between Ford and RLX TECH
Can any of the company-specific risk be diversified away by investing in both Ford and RLX TECH 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 Ford and RLX TECH into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Ford Motor and RLX TECH SPADR1, you can compare the effects of market volatilities on Ford and RLX TECH 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 Ford with a short position of RLX TECH. Check out your portfolio center. Please also check ongoing floating volatility patterns of Ford and RLX TECH.
Diversification Opportunities for Ford and RLX TECH
Average diversification
The 3 months correlation between Ford and RLX is 0.11. Overlapping area represents the amount of risk that can be diversified away by holding Ford Motor and RLX TECH SPADR1 in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on RLX TECH SPADR1 and Ford 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 Ford Motor are associated (or correlated) with RLX TECH. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of RLX TECH SPADR1 has no effect on the direction of Ford i.e., Ford and RLX TECH go up and down completely randomly.
Pair Corralation between Ford and RLX TECH
Taking into account the 90-day investment horizon Ford Motor is expected to under-perform the RLX TECH. But the stock apears to be less risky and, when comparing its historical volatility, Ford Motor is 1.89 times less risky than RLX TECH. The stock trades about -0.19 of its potential returns per unit of risk. The RLX TECH SPADR1 is currently generating about 0.37 of returns per unit of risk over similar time horizon. If you would invest 149.00 in RLX TECH SPADR1 on September 14, 2024 and sell it today you would earn a total of 40.00 from holding RLX TECH SPADR1 or generate 26.85% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 95.45% |
Values | Daily Returns |
Ford Motor vs. RLX TECH SPADR1
Performance |
Timeline |
Ford Motor |
RLX TECH SPADR1 |
Ford and RLX TECH Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Ford and RLX TECH
The main advantage of trading using opposite Ford and RLX TECH positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Ford position performs unexpectedly, RLX TECH 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 RLX TECH will offset losses from the drop in RLX TECH's long position.The idea behind Ford Motor and RLX TECH SPADR1 pairs trading is to make the combined position market-neutral, meaning the overall market's direction will not affect its win or loss (or potential downside or upside). This can be achieved by designing a pairs trade with two highly correlated stocks or equities that operate in a similar space or sector, making it possible to obtain profits through simple and relatively low-risk investment.RLX TECH vs. BURLINGTON STORES | RLX TECH vs. Burlington Stores | RLX TECH vs. Transportadora de Gas | RLX TECH vs. Ross Stores |
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 Portfolio Backtesting module to avoid under-diversification and over-optimization by backtesting your portfolios.
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