Correlation Between Sea and Dow Jones
Can any of the company-specific risk be diversified away by investing in both Sea and Dow Jones 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 Sea and Dow Jones into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Sea and Dow Jones Industrial, you can compare the effects of market volatilities on Sea and Dow Jones 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 Sea with a short position of Dow Jones. Check out your portfolio center. Please also check ongoing floating volatility patterns of Sea and Dow Jones.
Diversification Opportunities for Sea and Dow Jones
Very poor diversification
The 3 months correlation between Sea and Dow is 0.85. Overlapping area represents the amount of risk that can be diversified away by holding Sea and Dow Jones Industrial in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Dow Jones Industrial and Sea 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 Sea are associated (or correlated) with Dow Jones. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Dow Jones Industrial has no effect on the direction of Sea i.e., Sea and Dow Jones go up and down completely randomly.
Pair Corralation between Sea and Dow Jones
Allowing for the 90-day total investment horizon Sea is expected to generate 3.31 times more return on investment than Dow Jones. However, Sea is 3.31 times more volatile than Dow Jones Industrial. It trades about 0.21 of its potential returns per unit of risk. Dow Jones Industrial is currently generating about 0.22 per unit of risk. If you would invest 9,926 in Sea on August 27, 2024 and sell it today you would earn a total of 1,378 from holding Sea or generate 13.88% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Sea vs. Dow Jones Industrial
Performance |
Timeline |
Sea and Dow Jones Volatility Contrast
Predicted Return Density |
Returns |
Sea
Pair trading matchups for Sea
Dow Jones Industrial
Pair trading matchups for Dow Jones
Pair Trading with Sea and Dow Jones
The main advantage of trading using opposite Sea and Dow Jones positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Sea position performs unexpectedly, Dow Jones 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 Dow Jones will offset losses from the drop in Dow Jones' long position.Sea vs. Atari SA | Sea vs. Victory Square Technologies | Sea vs. Motorsport Gaming Us | Sea vs. Alpha Esports Tech |
Dow Jones vs. Meiwu Technology Co | Dow Jones vs. 17 Education Technology | Dow Jones vs. 51Talk Online Education | Dow Jones vs. Afya |
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 Money Flow Index module to determine momentum by analyzing Money Flow Index and other technical indicators.
Other Complementary Tools
Bollinger Bands Use Bollinger Bands indicator to analyze target price for a given investing horizon | |
Pair Correlation Compare performance and examine fundamental relationship between any two equity instruments | |
Price Transformation Use Price Transformation models to analyze the depth of different equity instruments across global markets | |
Companies Directory Evaluate performance of over 100,000 Stocks, Funds, and ETFs against different fundamentals | |
ETF Categories List of ETF categories grouped based on various criteria, such as the investment strategy or type of investments |