China Finance Online Stock Market Value

JRJCY Stock  USD 0.0001  0.00  0.00%   
China Finance's market value is the price at which a share of China Finance trades on a public exchange. It measures the collective expectations of China Finance Online investors about its performance. China Finance is trading at 1.0E-4 as of the 13th of December 2024; that is No Change since the beginning of the trading day. The stock's open price was 1.0E-4.
With this module, you can estimate the performance of a buy and hold strategy of China Finance Online and determine expected loss or profit from investing in China Finance over a given investment horizon. Check out China Finance Correlation, China Finance Volatility and China Finance Alpha and Beta module to complement your research on China Finance.
For more information on how to buy China Pink Sheet please use our How to Invest in China Finance guide.
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Please note, there is a significant difference between China Finance's value and its price as these two are different measures arrived at by different means. Investors typically determine if China Finance is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, China Finance'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 Finance '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 Finance'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 Finance.
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12/24/2022
No Change 0.00  0.0 
In 1 year 11 months and 22 days
12/13/2024
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If you would invest  0.00  in China Finance on December 24, 2022 and sell it all today you would earn a total of 0.00 from holding China Finance Online or generate 0.0% return on investment in China Finance over 720 days. China Finance is related to or competes with Dmg Blockchain, Galaxy Digital, Neptune Digital, Bluesky Digital, Nomura Holdings, Mercurity Fintech, and Donnelley Financial. Limited, together with its subsidiaries, provides web-based financial services in the Peoples Republic of China and Hong... More

China Finance 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 Finance'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 Finance Online upside and downside potential and time the market with a certain degree of confidence.

China Finance Market Risk Indicators

Today, many novice investors tend to focus exclusively on investment returns with little concern for China Finance's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as China Finance's standard deviation. In reality, there are many statistical measures that can use China Finance historical prices to predict the future China Finance's volatility.
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of China Finance's 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.
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China Finance Online Backtested Returns

We have found three technical indicators for China Finance Online, which you can use to evaluate the volatility of the firm. The firm shows a Beta (market volatility) of 0.0, which signifies not very significant fluctuations relative to the market. the returns on MARKET and China Finance are completely uncorrelated.

Auto-correlation

    
  -0.04  

Very weak reverse predictability

China Finance Online has very weak reverse predictability. Overlapping area represents the amount of predictability between China Finance time series from 24th of December 2022 to 19th of December 2023 and 19th of December 2023 to 13th of December 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 Finance Online price movement. The serial correlation of -0.04 indicates that only as little as 4.0% of current China Finance price fluctuation can be explain by its past prices.
Correlation Coefficient-0.04
Spearman Rank Test-0.59
Residual Average0.0
Price Variance0.0

China Finance Online lagged returns against current returns

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

China Finance Lagged Returns

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

Also Currently Popular

Analyzing currently trending equities could be an opportunity to develop a better portfolio based on different market momentums that they can trigger. Utilizing the top trending stocks is also useful when creating a market-neutral strategy or pair trading technique involving a short or a long position in a currently trending equity.

Additional Tools for China Pink Sheet Analysis

When running China Finance's price analysis, check to measure China Finance'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 Finance is operating at the current time. Most of China Finance's value examination focuses on studying past and present price action to predict the probability of China Finance'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 Finance's price. Additionally, you may evaluate how the addition of China Finance to your portfolios can decrease your overall portfolio volatility.