China Citic Bank Stock Market Value

CHCJY Stock  USD 13.90  1.77  14.59%   
China Citic's market value is the price at which a share of China Citic trades on a public exchange. It measures the collective expectations of China Citic Bank investors about its performance. China Citic is trading at 13.90 as of the 16th of February 2025; that is 14.59% increase since the beginning of the trading day. The stock's open price was 12.13.
With this module, you can estimate the performance of a buy and hold strategy of China Citic Bank and determine expected loss or profit from investing in China Citic over a given investment horizon. Check out China Citic Correlation, China Citic Volatility and China Citic Alpha and Beta module to complement your research on China Citic.
Symbol

Please note, there is a significant difference between China Citic's value and its price as these two are different measures arrived at by different means. Investors typically determine if China Citic is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, China Citic's price is the amount at which it trades on the open market and represents the number that a seller and buyer find agreeable to each party.

China Citic '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 Citic's 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 Citic.
0.00
01/17/2025
No Change 0.00  0.0 
In 31 days
02/16/2025
0.00
If you would invest  0.00  in China Citic on January 17, 2025 and sell it all today you would earn a total of 0.00 from holding China Citic Bank or generate 0.0% return on investment in China Citic over 30 days. China Citic is related to or competes with China Everbright, China Merchants, Postal Savings, China Merchants, Bangkok Bank, PNC Financial, and Citizens Financial. China CITIC Bank Corporation Limited provides various banking products and services in the Peoples Republic of China and... More

China Citic 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 Citic's 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 Citic Bank upside and downside potential and time the market with a certain degree of confidence.

China Citic Market Risk Indicators

Today, many novice investors tend to focus exclusively on investment returns with little concern for China Citic's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as China Citic's standard deviation. In reality, there are many statistical measures that can use China Citic historical prices to predict the future China Citic's volatility.
Hype
Prediction
LowEstimatedHigh
8.6113.9019.19
Details
Intrinsic
Valuation
LowRealHigh
5.8911.1816.47
Details
Naive
Forecast
LowNextHigh
8.9414.2319.52
Details
Bollinger
Band Projection (param)
LowerMiddle BandUpper
11.2312.3013.37
Details

China Citic Bank Backtested Returns

China Citic appears to be slightly risky, given 3 months investment horizon. China Citic Bank secures Sharpe Ratio (or Efficiency) of 0.0902, which signifies that the company had a 0.0902 % return per unit of risk over the last 3 months. We have found twenty-eight technical indicators for China Citic Bank, which you can use to evaluate the volatility of the firm. Please makes use of China Citic's Risk Adjusted Performance of 0.0721, downside deviation of 12.07, and Mean Deviation of 2.48 to double-check if our risk estimates are consistent with your expectations. On a scale of 0 to 100, China Citic holds a performance score of 7. The firm shows a Beta (market volatility) of -1.12, which signifies a somewhat significant risk relative to the market. As the market becomes more bullish, returns on owning China Citic are expected to decrease slowly. On the other hand, during market turmoil, China Citic is expected to outperform it slightly. Please check China Citic's sortino ratio, as well as the relationship between the semi variance and day median price , to make a quick decision on whether China Citic's price patterns will revert.

Auto-correlation

    
  0.29  

Poor predictability

China Citic Bank has poor predictability. Overlapping area represents the amount of predictability between China Citic time series from 17th of January 2025 to 1st of February 2025 and 1st of February 2025 to 16th of February 2025. 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 Citic Bank price movement. The serial correlation of 0.29 indicates that nearly 29.0% of current China Citic price fluctuation can be explain by its past prices.
Correlation Coefficient0.29
Spearman Rank Test1.0
Residual Average0.0
Price Variance0.47

China Citic Bank lagged returns against current returns

Autocorrelation, which is China Citic 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 Citic's pink sheet expected returns. We can calculate the autocorrelation of China Citic returns to help us make a trade decision. For example, suppose you find that China Citic 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 Citic 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 Citic pink sheet is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if China Citic 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 Citic pink sheet over time.
   Current vs Lagged Prices   
       Timeline  

China Citic Lagged Returns

When evaluating China Citic's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of China Citic pink sheet have on its future price. China Citic 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 Citic autocorrelation shows the relationship between China Citic pink sheet current value and its past values and can show if there is a momentum factor associated with investing in China Citic Bank.
   Regressed Prices   
       Timeline  

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Additional Tools for China Pink Sheet Analysis

When running China Citic's price analysis, check to measure China Citic's 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 Citic is operating at the current time. Most of China Citic's value examination focuses on studying past and present price action to predict the probability of China Citic's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move China Citic's price. Additionally, you may evaluate how the addition of China Citic to your portfolios can decrease your overall portfolio volatility.