Chang Type (Taiwan) Market Value

1541 Stock  TWD 27.50  0.05  0.18%   
Chang Type's market value is the price at which a share of Chang Type trades on a public exchange. It measures the collective expectations of Chang Type Industrial investors about its performance. Chang Type is selling for under 27.50 as of the 11th of December 2024; that is 0.18 percent increase since the beginning of the trading day. The stock's lowest day price was 27.5.
With this module, you can estimate the performance of a buy and hold strategy of Chang Type Industrial and determine expected loss or profit from investing in Chang Type over a given investment horizon. Check out Chang Type Correlation, Chang Type Volatility and Chang Type Alpha and Beta module to complement your research on Chang Type.
Symbol

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

Chang Type '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 Chang Type's 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 Chang Type.
0.00
09/12/2024
No Change 0.00  0.0 
In 3 months and 1 day
12/11/2024
0.00
If you would invest  0.00  in Chang Type on September 12, 2024 and sell it all today you would earn a total of 0.00 from holding Chang Type Industrial or generate 0.0% return on investment in Chang Type over 90 days. Chang Type is related to or competes with Taiwan Semiconductor, RDC Semiconductor, U Ming, WIN Semiconductors, Orient Semiconductor, Hi Lai, and WiseChip Semiconductor. CHANG TYPE Industrial Co., Ltd. researches, develops, manufactures, and sells power tools in Taiwan and internationally More

Chang Type 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 Chang Type's 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 Chang Type Industrial upside and downside potential and time the market with a certain degree of confidence.

Chang Type Market Risk Indicators

Today, many novice investors tend to focus exclusively on investment returns with little concern for Chang Type's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Chang Type's standard deviation. In reality, there are many statistical measures that can use Chang Type historical prices to predict the future Chang Type's volatility.
Hype
Prediction
LowEstimatedHigh
25.9727.5029.03
Details
Intrinsic
Valuation
LowRealHigh
24.7534.5036.03
Details
Naive
Forecast
LowNextHigh
26.7028.2329.76
Details
Bollinger
Band Projection (param)
LowerMiddle BandUpper
27.2827.5227.76
Details

Chang Type Industrial Backtested Returns

Chang Type Industrial secures Sharpe Ratio (or Efficiency) of -0.16, which signifies that the company had a -0.16% return per unit of standard deviation over the last 3 months. Chang Type Industrial exposes twenty-two different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please confirm Chang Type's mean deviation of 0.9655, and Risk Adjusted Performance of (0.11) to double-check the risk estimate we provide. The firm shows a Beta (market volatility) of -0.0209, which signifies not very significant fluctuations relative to the market. As returns on the market increase, returns on owning Chang Type are expected to decrease at a much lower rate. During the bear market, Chang Type is likely to outperform the market. At this point, Chang Type Industrial has a negative expected return of -0.24%. Please make sure to confirm Chang Type's market risk adjusted performance, coefficient of variation, information ratio, as well as the relationship between the mean deviation and standard deviation , to decide if Chang Type Industrial performance from the past will be repeated at some point in the near future.

Auto-correlation

    
  0.57  

Modest predictability

Chang Type Industrial has modest predictability. Overlapping area represents the amount of predictability between Chang Type time series from 12th of September 2024 to 27th of October 2024 and 27th of October 2024 to 11th 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 Chang Type Industrial price movement. The serial correlation of 0.57 indicates that roughly 57.0% of current Chang Type price fluctuation can be explain by its past prices.
Correlation Coefficient0.57
Spearman Rank Test0.35
Residual Average0.0
Price Variance1.41

Chang Type Industrial lagged returns against current returns

Autocorrelation, which is Chang Type 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 Chang Type's stock expected returns. We can calculate the autocorrelation of Chang Type returns to help us make a trade decision. For example, suppose you find that Chang Type 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  

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

Chang Type Lagged Returns

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

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Additional Tools for Chang Stock Analysis

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