China Resources Land Stock Market Value
CRBJF Stock | USD 2.96 0.19 6.03% |
Symbol | China |
China Resources 'What if' Analysis
In the world of financial modeling, what-if analysis is part of sensitivity analysis performed to test how changes in assumptions impact individual outputs in a model. When applied to China Resources' pink sheet what-if analysis refers to the analyzing how the change in your past investing horizon will affect the profitability against the current market value of China Resources.
03/20/2024 |
| 04/19/2024 |
If you would invest 0.00 in China Resources on March 20, 2024 and sell it all today you would earn a total of 0.00 from holding China Resources Land or generate 0.0% return on investment in China Resources over 30 days. China Resources is related to or competes with Landsea Homes, and American Realty. China Resources Land Limited, an investment holding company, invests in, develops, manages, and sells properties in the ... More
China Resources Upside/Downside Indicators
Understanding different market momentum indicators often help investors to time their next move. Potential upside and downside technical ratios enable traders to measure China Resources' pink sheet current market value against overall market sentiment and can be a good tool during both bulling and bearish trends. Here we outline some of the essential indicators to assess China Resources Land upside and downside potential and time the market with a certain degree of confidence.
Information Ratio | (0.15) | |||
Maximum Drawdown | 9.59 | |||
Value At Risk | (1.56) |
China Resources Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for China Resources' investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as China Resources' standard deviation. In reality, there are many statistical measures that can use China Resources historical prices to predict the future China Resources' volatility.Risk Adjusted Performance | (0.06) | |||
Jensen Alpha | (0.15) | |||
Total Risk Alpha | (0.27) | |||
Treynor Ratio | (1.48) |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of China Resources' price to converge to an average value over time is called mean reversion. However, historically, high market prices usually discourage investors that believe in mean reversion to invest, while low prices are viewed as an opportunity to buy.
China Resources Land Backtested Returns
China Resources Land secures Sharpe Ratio (or Efficiency) of -0.1, which signifies that the company had a -0.1% return per unit of risk over the last 3 months. China Resources Land exposes twenty different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please confirm China Resources' Risk Adjusted Performance of (0.06), mean deviation of 0.5136, and Standard Deviation of 1.31 to double-check the risk estimate we provide. The firm shows a Beta (market volatility) of 0.0964, which signifies not very significant fluctuations relative to the market. As returns on the market increase, China Resources' returns are expected to increase less than the market. However, during the bear market, the loss of holding China Resources is expected to be smaller as well. China Resources Land has an expected return of -0.14%. Please make sure to confirm China Resources Land value at risk, and the relationship between the information ratio and daily balance of power , to decide if China Resources Land performance from the past will be repeated at some point in the near future.
Auto-correlation | -0.35 |
Poor reverse predictability
China Resources Land has poor reverse predictability. Overlapping area represents the amount of predictability between China Resources time series from 20th of March 2024 to 4th of April 2024 and 4th of April 2024 to 19th of April 2024. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of China Resources Land price movement. The serial correlation of -0.35 indicates that nearly 35.0% of current China Resources price fluctuation can be explain by its past prices.
Correlation Coefficient | -0.35 | |
Spearman Rank Test | -0.5 | |
Residual Average | 0.0 | |
Price Variance | 0.01 |
China Resources Land lagged returns against current returns
Autocorrelation, which is China Resources pink sheet's lagged correlation, explains the relationship between observations of its time series of returns over different periods of time. The observations are said to be independent if autocorrelation is zero. Autocorrelation is calculated as a function of mean and variance and can have practical application in predicting China Resources' pink sheet expected returns. We can calculate the autocorrelation of China Resources returns to help us make a trade decision. For example, suppose you find that China Resources has exhibited high autocorrelation historically, and you observe that the pink sheet is moving up for the past few days. In that case, you can expect the price movement to match the lagging time series.
Current and Lagged Values |
Timeline |
China Resources regressed lagged prices vs. current prices
Serial correlation can be approximated by using the Durbin-Watson (DW) test. The correlation can be either positive or negative. If China Resources pink sheet is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if China Resources pink sheet is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in China Resources pink sheet over time.
Current vs Lagged Prices |
Timeline |
China Resources Lagged Returns
When evaluating China Resources' market value, investors can use the concept of autocorrelation to see how much of an impact past prices of China Resources pink sheet have on its future price. China Resources autocorrelation represents the degree of similarity between a given time horizon and a lagged version of the same horizon over the previous time interval. In other words, China Resources autocorrelation shows the relationship between China Resources pink sheet current value and its past values and can show if there is a momentum factor associated with investing in China Resources Land.
Regressed Prices |
Timeline |
Pair Trading with China Resources
One of the main advantages of trading using pair correlations is that every trade hedges away some risk. Because there are two separate transactions required, even if China Resources position performs unexpectedly, the other equity 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 China Resources will appreciate offsetting losses from the drop in the long position's value.Moving against China Pink Sheet
0.67 | GE | GE Aerospace Earnings Call This Week | PairCorr |
0.49 | KB | KB Financial Group Earnings Call This Week | PairCorr |
0.48 | WF | Woori Financial Group Financial Report 21st of May 2024 | PairCorr |
The ability to find closely correlated positions to China Resources could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace China Resources 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 China Resources - 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 China Resources Land to buy it.
The correlation of China Resources 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 perfect positive correlation (i.e., a correlation coefficient of +1) implies that as China Resources moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if China Resources Land moves in either direction, the perfectly negatively correlated security will move in the opposite direction. If the correlation is 0, the equities are not correlated; they are entirely random. A correlation greater than 0.8 is generally described as strong, whereas a correlation less than 0.5 is generally considered weak.
Correlation analysis and pair trading evaluation for China Resources can also be used as hedging techniques within a particular sector or industry or even over random equities to generate a better risk-adjusted return on your portfolios.Check out China Resources Correlation, China Resources Volatility and China Resources Alpha and Beta module to complement your research on China Resources. You can also try the Instant Ratings module to determine any equity ratings based on digital recommendations. Macroaxis instant equity ratings are based on combination of fundamental analysis and risk-adjusted market performance.
Complementary Tools for China Pink Sheet analysis
When running China Resources' price analysis, check to measure China Resources' market volatility, profitability, liquidity, solvency, efficiency, growth potential, financial leverage, and other vital indicators. We have many different tools that can be utilized to determine how healthy China Resources is operating at the current time. Most of China Resources' value examination focuses on studying past and present price action to predict the probability of China Resources' future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move China Resources' price. Additionally, you may evaluate how the addition of China Resources to your portfolios can decrease your overall portfolio volatility.
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China Resources technical pink sheet analysis exercises models and trading practices based on price and volume transformations, such as the moving averages, relative strength index, regressions, price and return correlations, business cycles, pink sheet market cycles, or different charting patterns.