Kuala Lumpur Correlations
| KLKBY Stock | USD 4.29 0.00 0.00% |
The correlation of Kuala Lumpur is a statistical measure of how it moves in relation to other instruments. This measure is expressed in what is known as the correlation coefficient, which ranges between -1 and +1. A correlation greater than 0.8 is generally described as strong, whereas a correlation less than 0.5 is generally considered weak. If the correlation is 0, the equities are not correlated; they are entirely random.
Kuala |
The ability to find closely correlated positions to Kuala Lumpur could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Kuala Lumpur when you sell it. If you don't do this, your portfolio allocation will be skewed against your target asset allocation. So, investors can't just sell and buy back Kuala Lumpur - that would be a violation of the tax code under the "wash sale" rule, and this is why you need to find a similar enough asset and use the proceeds from selling Kuala Lumpur Kepong to buy it.
Related Correlations Analysis
| -0.33 | -0.27 | 0.7 | 0.58 | SLCJY | ||
| -0.33 | 0.53 | -0.21 | -0.3 | AGRO | ||
| -0.27 | 0.53 | -0.36 | -0.34 | LMNR | ||
| 0.7 | -0.21 | -0.36 | 0.82 | AFRI | ||
| 0.58 | -0.3 | -0.34 | 0.82 | ALCO | ||
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Correlation Matchups
Over a given time period, the two securities move together when the Correlation Coefficient is positive. Conversely, the two assets move in opposite directions when the Correlation Coefficient is negative. Determining your positions' relationship to each other is valuable for analyzing and projecting your portfolio's future expected return and risk.High positive correlations
| High negative correlations
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Risk-Adjusted Indicators
There is a big difference between Kuala Pink Sheet performing well and Kuala Lumpur Company doing well as a business compared to the competition. There are so many exceptions to the norm that investors cannot definitively determine what's good or bad unless they analyze Kuala Lumpur's multiple risk-adjusted performance indicators across the competitive landscape. These indicators are quantitative in nature and help investors forecast volatility and risk-adjusted expected returns across various positions.| Mean Deviation | Jensen Alpha | Sortino Ratio | Treynor Ratio | Semi Deviation | Expected Shortfall | Potential Upside | Value @Risk | Maximum Drawdown | ||
|---|---|---|---|---|---|---|---|---|---|---|
| SLCJY | 1.42 | (0.17) | 0.00 | (0.86) | 0.00 | 2.86 | 14.42 | |||
| AGRO | 1.21 | 0.11 | 0.00 | 1.37 | 1.47 | 2.04 | 8.94 | |||
| LMNR | 1.76 | 0.18 | 0.16 | 0.21 | 1.59 | 5.63 | 11.73 | |||
| AFRI | 1.20 | (0.19) | 0.00 | (0.10) | 0.00 | 2.22 | 7.72 | |||
| ALCO | 1.60 | (0.27) | 0.00 | (0.06) | 0.00 | 4.76 | 13.25 |
Be your own money manager
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Kuala Lumpur Corporate Management
| Miow Yap | Company Secretary | Profile | |
| Olivier Meurzec | Chief Manufacturing | Profile | |
| Eng Ong | Acting Officer | Profile | |
| Lim Joon | Pres Indonesia | Profile | |
| Thean DIMP | Ex Division | Profile |