Fu Burg (Taiwan) Market Value

8929 Stock  TWD 28.60  0.20  0.70%   
Fu Burg's market value is the price at which a share of Fu Burg trades on a public exchange. It measures the collective expectations of Fu Burg Industrial investors about its performance. Fu Burg is selling for under 28.60 as of the 27th of November 2024; that is 0.70 percent increase since the beginning of the trading day. The stock's lowest day price was 28.0.
With this module, you can estimate the performance of a buy and hold strategy of Fu Burg Industrial and determine expected loss or profit from investing in Fu Burg over a given investment horizon. Check out Fu Burg Correlation, Fu Burg Volatility and Fu Burg Alpha and Beta module to complement your research on Fu Burg.
Symbol

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

Fu Burg '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 Fu Burg'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 Fu Burg.
0.00
10/28/2024
No Change 0.00  0.0 
In 31 days
11/27/2024
0.00
If you would invest  0.00  in Fu Burg on October 28, 2024 and sell it all today you would earn a total of 0.00 from holding Fu Burg Industrial or generate 0.0% return on investment in Fu Burg over 30 days. Fu Burg is related to or competes with TCI, Taiyen Biotech, Leatec Fine, Information Technology, Kinko Optical, E Lead, and Zinwell. More

Fu Burg 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 Fu Burg'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 Fu Burg Industrial upside and downside potential and time the market with a certain degree of confidence.

Fu Burg Market Risk Indicators

Today, many novice investors tend to focus exclusively on investment returns with little concern for Fu Burg's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Fu Burg's standard deviation. In reality, there are many statistical measures that can use Fu Burg historical prices to predict the future Fu Burg's volatility.
Hype
Prediction
LowEstimatedHigh
24.6328.6032.57
Details
Intrinsic
Valuation
LowRealHigh
18.8022.7731.46
Details
Naive
Forecast
LowNextHigh
25.4329.3933.36
Details
Bollinger
Band Projection (param)
LowerMiddle BandUpper
28.3028.5028.70
Details

Fu Burg Industrial Backtested Returns

Fu Burg appears to be not too volatile, given 3 months investment horizon. Fu Burg Industrial retains Efficiency (Sharpe Ratio) of 0.14, which denotes the company had a 0.14% return per unit of price deviation over the last 3 months. By analyzing Fu Burg's technical indicators, you can evaluate if the expected return of 0.55% is justified by implied risk. Please utilize Fu Burg's Downside Deviation of 2.62, standard deviation of 3.88, and Market Risk Adjusted Performance of (0.58) to check if our risk estimates are consistent with your expectations. On a scale of 0 to 100, Fu Burg holds a performance score of 10. The firm owns a Beta (Systematic Risk) of -0.92, which means possible diversification benefits within a given portfolio. As the market becomes more bullish, returns on owning Fu Burg are expected to decrease slowly. On the other hand, during market turmoil, Fu Burg is expected to outperform it slightly. Please check Fu Burg's downside deviation, standard deviation, and the relationship between the semi deviation and coefficient of variation , to make a quick decision on whether Fu Burg's current price history will revert.

Auto-correlation

    
  0.30  

Below average predictability

Fu Burg Industrial has below average predictability. Overlapping area represents the amount of predictability between Fu Burg time series from 28th of October 2024 to 12th of November 2024 and 12th of November 2024 to 27th of November 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 Fu Burg Industrial price movement. The serial correlation of 0.3 indicates that nearly 30.0% of current Fu Burg price fluctuation can be explain by its past prices.
Correlation Coefficient0.3
Spearman Rank Test0.01
Residual Average0.0
Price Variance3.17

Fu Burg Industrial lagged returns against current returns

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

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

Fu Burg Lagged Returns

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

Pair Trading with Fu Burg

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 Fu Burg 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 Fu Burg will appreciate offsetting losses from the drop in the long position's value.

Moving against 8929 Stock

  0.89919 KNH EnterprisePairCorr
  0.788436 TCI CoPairCorr
  0.641737 Taiyen BiotechPairCorr
  0.582891C CTBC Financial HoldingPairCorr
  0.575880 Taiwan CooperativePairCorr
The ability to find closely correlated positions to Fu Burg could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Fu Burg 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 Fu Burg - 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 Fu Burg Industrial to buy it.
The correlation of Fu Burg 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 Fu Burg moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Fu Burg Industrial 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 Fu Burg 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 8929 Stock Analysis

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