Bank Of China Stock Market Value

BACHF Stock  USD 0.41  0.02  5.13%   
Bank Of China's market value is the price at which a share of Bank Of China trades on a public exchange. It measures the collective expectations of Bank Of China investors about its performance. Bank Of China is trading at 0.41 as of the 28th of March 2024. This is a 5.13 percent increase since the beginning of the trading day. The stock's lowest day price was 0.41.
With this module, you can estimate the performance of a buy and hold strategy of Bank Of China and determine expected loss or profit from investing in Bank Of China over a given investment horizon. Check out Bank Of China Correlation, Bank Of China Volatility and Bank Of China Alpha and Beta module to complement your research on Bank Of China.
Symbol

Please note, there is a significant difference between Bank Of China's value and its price as these two are different measures arrived at by different means. Investors typically determine if Bank Of China is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Bank Of China'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.

Bank Of China '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 Bank Of China'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 Bank Of China.
0.00
02/27/2024
No Change 0.00  0.0 
In 31 days
03/28/2024
0.00
If you would invest  0.00  in Bank Of China on February 27, 2024 and sell it all today you would earn a total of 0.00 from holding Bank Of China or generate 0.0% return on investment in Bank Of China over 30 days. Bank Of China is related to or competes with JPMorgan Chase, Bank of America, Bank Of America, Bank Of America, Wells Fargo, Wells Fargo, and Palantir TechnologiesInc. Bank of China Limited, together with its subsidiaries, provides various banking and financial services More

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

Bank Of China Market Risk Indicators

Today, many novice investors tend to focus exclusively on investment returns with little concern for Bank Of China's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Bank Of China's standard deviation. In reality, there are many statistical measures that can use Bank Of China historical prices to predict the future Bank Of China's volatility.
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Bank Of China'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.
Hype
Prediction
LowEstimatedHigh
0.020.414.12
Details
Intrinsic
Valuation
LowRealHigh
0.020.334.04
Details
Naive
Forecast
LowNextHigh
0.010.424.14
Details
Bollinger
Band Projection (param)
LowerMiddle BandUpper
0.410.410.41
Details
Please note, it is not enough to conduct a financial or market analysis of a single entity such as Bank Of China. Your research has to be compared to or analyzed against Bank Of China's peers to derive any actionable benefits. When done correctly, Bank Of China's competitive analysis will give you plenty of quantitative and qualitative data to validate your investment decisions or develop an entirely new strategy toward taking a position in Bank Of China.

Bank Of China Backtested Returns

We consider Bank Of China out of control. Bank Of China secures Sharpe Ratio (or Efficiency) of 0.0514, which signifies that the company had a 0.0514% return per unit of risk over the last 3 months. We have found twenty-seven technical indicators for Bank Of China, which you can use to evaluate the volatility of the firm. Please confirm Bank Of China's Risk Adjusted Performance of 0.0357, mean deviation of 2.17, and Downside Deviation of 4.95 to double-check if the risk estimate we provide is consistent with the expected return of 0.19%. Bank Of China has a performance score of 3 on a scale of 0 to 100. The firm shows a Beta (market volatility) of -0.3, which signifies not very significant fluctuations relative to the market. As returns on the market increase, returns on owning Bank Of China are expected to decrease at a much lower rate. During the bear market, Bank Of China is likely to outperform the market. Bank Of China right now shows a risk of 3.71%. Please confirm Bank Of China downside variance, rate of daily change, and the relationship between the maximum drawdown and skewness , to decide if Bank Of China will be following its price patterns.

Auto-correlation

    
  0.08  

Virtually no predictability

Bank Of China has virtually no predictability. Overlapping area represents the amount of predictability between Bank Of China time series from 27th of February 2024 to 13th of March 2024 and 13th of March 2024 to 28th of March 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 Bank Of China price movement. The serial correlation of 0.08 indicates that barely 8.0% of current Bank Of China price fluctuation can be explain by its past prices.
Correlation Coefficient0.08
Spearman Rank Test-0.25
Residual Average0.0
Price Variance0.0

Bank Of China lagged returns against current returns

Autocorrelation, which is Bank Of China 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 Bank Of China's pink sheet expected returns. We can calculate the autocorrelation of Bank Of China returns to help us make a trade decision. For example, suppose you find that Bank Of China 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  

Bank Of China 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 Bank Of China pink sheet is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Bank Of China pink sheet is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Bank Of China pink sheet over time.
   Current vs Lagged Prices   
       Timeline  

Bank Of China Lagged Returns

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

Some investors attempt to determine whether the market's mood is bullish or bearish by monitoring changes in market sentiment. Unlike more traditional methods such as technical analysis, investor sentiment usually refers to the aggregate attitude towards Bank Of China in the overall investment community. So, suppose investors can accurately measure the market's sentiment. In that case, they can use it for their benefit. For example, some tools to gauge market sentiment could be utilized using contrarian indexes, Bank Of China's short interest history, or implied volatility extrapolated from Bank Of China options trading.

Pair Trading with Bank Of China

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 Bank Of China 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 Bank Of China will appreciate offsetting losses from the drop in the long position's value.

Moving together with Bank Pink Sheet

  0.7JPM JPMorgan Chase Fiscal Quarter End 31st of March 2024 PairCorr
  0.63BAC Bank Of America Aggressive PushPairCorr

Moving against Bank Pink Sheet

  0.59PTAIF PT Astra InternationalPairCorr
The ability to find closely correlated positions to Bank Of China could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Bank Of China 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 Bank Of China - 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 Bank Of China to buy it.
The correlation of Bank Of China 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 Bank Of China moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Bank Of China 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 Bank Of China 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.
Pair CorrelationCorrelation Matching
Check out Bank Of China Correlation, Bank Of China Volatility and Bank Of China Alpha and Beta module to complement your research on Bank Of China.
Note that the Bank Of China information on this page should be used as a complementary analysis to other Bank Of China's statistical models used 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 Equity Search module to search for actively traded equities including funds and ETFs from over 30 global markets.

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When running Bank Of China's price analysis, check to measure Bank Of China'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 Bank Of China is operating at the current time. Most of Bank Of China's value examination focuses on studying past and present price action to predict the probability of Bank Of China's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Bank Of China's price. Additionally, you may evaluate how the addition of Bank Of China to your portfolios can decrease your overall portfolio volatility.
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Bank Of China 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.
A focus of Bank Of China technical analysis is to determine if market prices reflect all relevant information impacting that market. A technical analyst looks at the history of Bank Of China trading pattern rather than external drivers such as economic, fundamental, or social events. It is believed that price action tends to repeat itself due to investors' collective, patterned behavior. Hence technical analysis focuses on identifiable price trends and conditions. More Info...