Correlation Between KINGBOARD CHEMICAL and TFS FINANCIAL
Can any of the company-specific risk be diversified away by investing in both KINGBOARD CHEMICAL and TFS 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 KINGBOARD CHEMICAL and TFS FINANCIAL into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between KINGBOARD CHEMICAL and TFS FINANCIAL, you can compare the effects of market volatilities on KINGBOARD CHEMICAL and TFS 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 KINGBOARD CHEMICAL with a short position of TFS FINANCIAL. Check out your portfolio center. Please also check ongoing floating volatility patterns of KINGBOARD CHEMICAL and TFS FINANCIAL.
Diversification Opportunities for KINGBOARD CHEMICAL and TFS FINANCIAL
0.17 | Correlation Coefficient |
Average diversification
The 3 months correlation between KINGBOARD and TFS is 0.17. Overlapping area represents the amount of risk that can be diversified away by holding KINGBOARD CHEMICAL and TFS FINANCIAL in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on TFS FINANCIAL and KINGBOARD CHEMICAL 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 KINGBOARD CHEMICAL are associated (or correlated) with TFS FINANCIAL. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of TFS FINANCIAL has no effect on the direction of KINGBOARD CHEMICAL i.e., KINGBOARD CHEMICAL and TFS FINANCIAL go up and down completely randomly.
Pair Corralation between KINGBOARD CHEMICAL and TFS FINANCIAL
Assuming the 90 days trading horizon KINGBOARD CHEMICAL is expected to generate 2.17 times more return on investment than TFS FINANCIAL. However, KINGBOARD CHEMICAL is 2.17 times more volatile than TFS FINANCIAL. It trades about 0.16 of its potential returns per unit of risk. TFS FINANCIAL is currently generating about 0.07 per unit of risk. If you would invest 155.00 in KINGBOARD CHEMICAL on September 23, 2024 and sell it today you would earn a total of 71.00 from holding KINGBOARD CHEMICAL or generate 45.81% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
KINGBOARD CHEMICAL vs. TFS FINANCIAL
Performance |
Timeline |
KINGBOARD CHEMICAL |
TFS FINANCIAL |
KINGBOARD CHEMICAL and TFS FINANCIAL Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with KINGBOARD CHEMICAL and TFS FINANCIAL
The main advantage of trading using opposite KINGBOARD CHEMICAL and TFS FINANCIAL positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if KINGBOARD CHEMICAL position performs unexpectedly, TFS 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 TFS FINANCIAL will offset losses from the drop in TFS FINANCIAL's long position.KINGBOARD CHEMICAL vs. NAKED WINES PLC | KINGBOARD CHEMICAL vs. VIVA WINE GROUP | KINGBOARD CHEMICAL vs. Strategic Education | KINGBOARD CHEMICAL vs. EEDUCATION ALBERT AB |
TFS FINANCIAL vs. Electronic Arts | TFS FINANCIAL vs. Renesas Electronics | TFS FINANCIAL vs. Eastman Chemical | TFS FINANCIAL vs. Benchmark Electronics |
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 My Watchlist Analysis module to analyze my current watchlist and to refresh optimization strategy. Macroaxis watchlist is based on self-learning algorithm to remember stocks you like.
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