Correlation Between Kosdaq Composite and KIM KINDEX
Specify exactly 2 symbols:
By analyzing existing cross correlation between Kosdaq Composite Index and KIM KINDEX 200, you can compare the effects of market volatilities on Kosdaq Composite and KIM KINDEX 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 Kosdaq Composite with a short position of KIM KINDEX. Check out your portfolio center. Please also check ongoing floating volatility patterns of Kosdaq Composite and KIM KINDEX.
Diversification Opportunities for Kosdaq Composite and KIM KINDEX
0.93 | Correlation Coefficient |
Almost no diversification
The 3 months correlation between Kosdaq and KIM is 0.93. Overlapping area represents the amount of risk that can be diversified away by holding Kosdaq Composite Index and KIM KINDEX 200 in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on KIM KINDEX 200 and Kosdaq Composite 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 Kosdaq Composite Index are associated (or correlated) with KIM KINDEX. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of KIM KINDEX 200 has no effect on the direction of Kosdaq Composite i.e., Kosdaq Composite and KIM KINDEX go up and down completely randomly.
Pair Corralation between Kosdaq Composite and KIM KINDEX
Assuming the 90 days trading horizon Kosdaq Composite Index is expected to generate 1.66 times more return on investment than KIM KINDEX. However, Kosdaq Composite is 1.66 times more volatile than KIM KINDEX 200. It trades about -0.05 of its potential returns per unit of risk. KIM KINDEX 200 is currently generating about -0.13 per unit of risk. If you would invest 69,683 in Kosdaq Composite Index on September 24, 2024 and sell it today you would lose (1,759) from holding Kosdaq Composite Index or give up 2.52% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Strong |
Accuracy | 95.45% |
Values | Daily Returns |
Kosdaq Composite Index vs. KIM KINDEX 200
Performance |
Timeline |
Kosdaq Composite and KIM KINDEX Volatility Contrast
Predicted Return Density |
Returns |
Kosdaq Composite Index
Pair trading matchups for Kosdaq Composite
KIM KINDEX 200
Pair trading matchups for KIM KINDEX
Pair Trading with Kosdaq Composite and KIM KINDEX
The main advantage of trading using opposite Kosdaq Composite and KIM KINDEX positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Kosdaq Composite position performs unexpectedly, KIM KINDEX 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 KIM KINDEX will offset losses from the drop in KIM KINDEX's long position.Kosdaq Composite vs. Dongwoo Farm To | Kosdaq Composite vs. Semyung Electric Machinery | Kosdaq Composite vs. Samick Musical Instruments | Kosdaq Composite vs. Songwon Industrial Co |
KIM KINDEX vs. 456680 | KIM KINDEX vs. Busan Industrial Co | KIM KINDEX vs. Busan Ind | KIM KINDEX vs. Mirae Asset Daewoo |
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 Manager module to state of the art Portfolio Manager to monitor and improve performance of your invested capital.
Other Complementary Tools
Portfolio Volatility Check portfolio volatility and analyze historical return density to properly model market risk | |
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 | |
Pattern Recognition Use different Pattern Recognition models to time the market across multiple global exchanges | |
Price Exposure Probability Analyze equity upside and downside potential for a given time horizon across multiple markets | |
ETFs Find actively traded Exchange Traded Funds (ETF) from around the world |