Correlation Between Jiangxi Naipu and Beijing Kingsoft
Specify exactly 2 symbols:
By analyzing existing cross correlation between Jiangxi Naipu Mining and Beijing Kingsoft Office, you can compare the effects of market volatilities on Jiangxi Naipu and Beijing Kingsoft 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 Jiangxi Naipu with a short position of Beijing Kingsoft. Check out your portfolio center. Please also check ongoing floating volatility patterns of Jiangxi Naipu and Beijing Kingsoft.
Diversification Opportunities for Jiangxi Naipu and Beijing Kingsoft
0.71 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Jiangxi and Beijing is 0.71. Overlapping area represents the amount of risk that can be diversified away by holding Jiangxi Naipu Mining and Beijing Kingsoft Office in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Beijing Kingsoft Office and Jiangxi Naipu 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 Jiangxi Naipu Mining are associated (or correlated) with Beijing Kingsoft. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Beijing Kingsoft Office has no effect on the direction of Jiangxi Naipu i.e., Jiangxi Naipu and Beijing Kingsoft go up and down completely randomly.
Pair Corralation between Jiangxi Naipu and Beijing Kingsoft
Assuming the 90 days trading horizon Jiangxi Naipu Mining is expected to under-perform the Beijing Kingsoft. But the stock apears to be less risky and, when comparing its historical volatility, Jiangxi Naipu Mining is 2.03 times less risky than Beijing Kingsoft. The stock trades about -0.49 of its potential returns per unit of risk. The Beijing Kingsoft Office is currently generating about -0.22 of returns per unit of risk over similar time horizon. If you would invest 30,200 in Beijing Kingsoft Office on October 6, 2024 and sell it today you would lose (4,032) from holding Beijing Kingsoft Office or give up 13.35% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Jiangxi Naipu Mining vs. Beijing Kingsoft Office
Performance |
Timeline |
Jiangxi Naipu Mining |
Beijing Kingsoft Office |
Jiangxi Naipu and Beijing Kingsoft Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Jiangxi Naipu and Beijing Kingsoft
The main advantage of trading using opposite Jiangxi Naipu and Beijing Kingsoft positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Jiangxi Naipu position performs unexpectedly, Beijing Kingsoft 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 Beijing Kingsoft will offset losses from the drop in Beijing Kingsoft's long position.Jiangxi Naipu vs. Agricultural Bank of | Jiangxi Naipu vs. Industrial and Commercial | Jiangxi Naipu vs. Bank of China | Jiangxi Naipu vs. PetroChina Co Ltd |
Beijing Kingsoft vs. BYD Co Ltd | Beijing Kingsoft vs. China Mobile Limited | Beijing Kingsoft vs. Agricultural Bank of | Beijing Kingsoft vs. Industrial and Commercial |
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 Financial Widgets module to easily integrated Macroaxis content with over 30 different plug-and-play financial widgets.
Other Complementary Tools
Bonds Directory Find actively traded corporate debentures issued by US companies | |
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 | |
Piotroski F Score Get Piotroski F Score based on the binary analysis strategy of nine different fundamentals | |
Odds Of Bankruptcy Get analysis of equity chance of financial distress in the next 2 years | |
Insider Screener Find insiders across different sectors to evaluate their impact on performance |