China Times (Taiwan) Market Value

8923 Stock  TWD 18.55  0.10  0.54%   
China Times' market value is the price at which a share of China Times trades on a public exchange. It measures the collective expectations of China Times Publishing investors about its performance. China Times is selling for under 18.55 as of the 5th of December 2024; that is 0.54% down since the beginning of the trading day. The stock's lowest day price was 18.55.
With this module, you can estimate the performance of a buy and hold strategy of China Times Publishing and determine expected loss or profit from investing in China Times over a given investment horizon. Check out China Times Correlation, China Times Volatility and China Times Alpha and Beta module to complement your research on China Times.
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Please note, there is a significant difference between China Times' value and its price as these two are different measures arrived at by different means. Investors typically determine if China Times is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, China Times' 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 Times '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 Times' stock 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 Times.
0.00
09/06/2024
No Change 0.00  0.0 
In 2 months and 31 days
12/05/2024
0.00
If you would invest  0.00  in China Times on September 6, 2024 and sell it all today you would earn a total of 0.00 from holding China Times Publishing or generate 0.0% return on investment in China Times over 90 days. China Times is related to or competes with Fubon MSCI, YuantaP Shares, YuantaP Shares, and YuantaP Shares. More

China Times 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 Times' stock 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 Times Publishing upside and downside potential and time the market with a certain degree of confidence.

China Times Market Risk Indicators

Today, many novice investors tend to focus exclusively on investment returns with little concern for China Times' investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as China Times' standard deviation. In reality, there are many statistical measures that can use China Times historical prices to predict the future China Times' volatility.
Hype
Prediction
LowEstimatedHigh
14.3518.5522.75
Details
Intrinsic
Valuation
LowRealHigh
11.5515.7519.95
Details

China Times Publishing Backtested Returns

At this stage we consider China Stock to be somewhat reliable. China Times Publishing secures Sharpe Ratio (or Efficiency) of 0.0314, which signifies that the company had a 0.0314% return per unit of risk over the last 3 months. We have found twenty-seven technical indicators for China Times Publishing, which you can use to evaluate the volatility of the firm. Please confirm China Times' Risk Adjusted Performance of 0.0111, mean deviation of 2.56, and Downside Deviation of 4.92 to double-check if the risk estimate we provide is consistent with the expected return of 0.13%. China Times has a performance score of 2 on a scale of 0 to 100. The firm shows a Beta (market volatility) of -0.36, which signifies possible diversification benefits within a given portfolio. As returns on the market increase, returns on owning China Times are expected to decrease at a much lower rate. During the bear market, China Times is likely to outperform the market. China Times Publishing right now shows a risk of 4.2%. Please confirm China Times Publishing mean deviation, downside deviation, information ratio, as well as the relationship between the semi deviation and coefficient of variation , to decide if China Times Publishing will be following its price patterns.

Auto-correlation

    
  -0.06  

Very weak reverse predictability

China Times Publishing has very weak reverse predictability. Overlapping area represents the amount of predictability between China Times time series from 6th of September 2024 to 21st of October 2024 and 21st of October 2024 to 5th 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 Times Publishing price movement. The serial correlation of -0.06 indicates that barely 6.0% of current China Times price fluctuation can be explain by its past prices.
Correlation Coefficient-0.06
Spearman Rank Test-0.44
Residual Average0.0
Price Variance0.44

China Times Publishing lagged returns against current returns

Autocorrelation, which is China Times stock'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 Times' stock expected returns. We can calculate the autocorrelation of China Times returns to help us make a trade decision. For example, suppose you find that China Times has exhibited high autocorrelation historically, and you observe that the stock 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 Times 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 Times stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if China Times stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in China Times stock over time.
   Current vs Lagged Prices   
       Timeline  

China Times Lagged Returns

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

Pair Trading with China Times

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 Times 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 Times will appreciate offsetting losses from the drop in the long position's value.
The ability to find closely correlated positions to China Times 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 Times 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 Times - 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 Times Publishing to buy it.
The correlation of China Times 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 Times moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if China Times Publishing 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 Times 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

Additional Tools for China Stock Analysis

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