Correlation Between Tesla and CCSB Financial
Can any of the company-specific risk be diversified away by investing in both Tesla and CCSB Financial 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 Tesla and CCSB Financial into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Tesla Inc and CCSB Financial Corp, you can compare the effects of market volatilities on Tesla and CCSB Financial 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 Tesla with a short position of CCSB Financial. Check out your portfolio center. Please also check ongoing floating volatility patterns of Tesla and CCSB Financial.
Diversification Opportunities for Tesla and CCSB Financial
-0.73 | Correlation Coefficient |
Pay attention - limited upside
The 3 months correlation between Tesla and CCSB is -0.73. Overlapping area represents the amount of risk that can be diversified away by holding Tesla Inc and CCSB Financial Corp in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on CCSB Financial Corp and Tesla 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 Tesla Inc are associated (or correlated) with CCSB Financial. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of CCSB Financial Corp has no effect on the direction of Tesla i.e., Tesla and CCSB Financial go up and down completely randomly.
Pair Corralation between Tesla and CCSB Financial
Given the investment horizon of 90 days Tesla Inc is expected to generate 6.67 times more return on investment than CCSB Financial. However, Tesla is 6.67 times more volatile than CCSB Financial Corp. It trades about 0.31 of its potential returns per unit of risk. CCSB Financial Corp is currently generating about -0.22 per unit of risk. If you would invest 26,048 in Tesla Inc on August 25, 2024 and sell it today you would earn a total of 9,208 from holding Tesla Inc or generate 35.35% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Tesla Inc vs. CCSB Financial Corp
Performance |
Timeline |
Tesla Inc |
CCSB Financial Corp |
Tesla and CCSB Financial Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Tesla and CCSB Financial
The main advantage of trading using opposite Tesla and CCSB Financial positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Tesla position performs unexpectedly, CCSB Financial 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 CCSB Financial will offset losses from the drop in CCSB Financial's long position.The idea behind Tesla Inc and CCSB Financial Corp 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.CCSB Financial vs. Wabash National | CCSB Financial vs. Tesla Inc | CCSB Financial vs. Brunswick | CCSB Financial vs. Titan Machinery |
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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