Materials Analysis (Taiwan) Market Value
| 3587 Stock | TWD 193.50 1.50 0.77% |
| Symbol | Materials |
Materials Analysis '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 Materials Analysis' 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 Materials Analysis.
| 12/17/2024 |
| 03/17/2025 |
If you would invest 0.00 in Materials Analysis on December 17, 2024 and sell it all today you would earn a total of 0.00 from holding Materials Analysis Technology or generate 0.0% return on investment in Materials Analysis over 90 days. Materials Analysis is related to or competes with Integrated Service, ASE Industrial, Gudeng Precision, EMemory Technology, and King Yuan. More
Materials Analysis 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 Materials Analysis' 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 Materials Analysis Technology upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.17) | |||
| Maximum Drawdown | 8.53 | |||
| Value At Risk | (3.01) | |||
| Potential Upside | 1.91 |
Materials Analysis Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Materials Analysis' investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Materials Analysis' standard deviation. In reality, there are many statistical measures that can use Materials Analysis historical prices to predict the future Materials Analysis' volatility.| Risk Adjusted Performance | (0.19) | |||
| Jensen Alpha | (0.38) | |||
| Total Risk Alpha | (0.19) | |||
| Treynor Ratio | (1.63) |
Materials Analysis Backtested Returns
Materials Analysis has Sharpe Ratio of -0.22, which conveys that the firm had a -0.22 % return per unit of risk over the last 3 months. Materials Analysis exposes twenty-two different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please verify Materials Analysis' Mean Deviation of 1.37, standard deviation of 1.79, and Risk Adjusted Performance of (0.19) to check out the risk estimate we provide. The company secures a Beta (Market Risk) of 0.25, which conveys not very significant fluctuations relative to the market. As returns on the market increase, Materials Analysis' returns are expected to increase less than the market. However, during the bear market, the loss of holding Materials Analysis is expected to be smaller as well. At this point, Materials Analysis has a negative expected return of -0.41%. Please make sure to verify Materials Analysis' treynor ratio, potential upside, and the relationship between the total risk alpha and maximum drawdown , to decide if Materials Analysis performance from the past will be repeated at some point in the near future.
Auto-correlation | 0.64 |
Good predictability
Materials Analysis Technology has good predictability. Overlapping area represents the amount of predictability between Materials Analysis time series from 17th of December 2024 to 31st of January 2025 and 31st of January 2025 to 17th of March 2025. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of Materials Analysis price movement. The serial correlation of 0.64 indicates that roughly 64.0% of current Materials Analysis price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.64 | |
| Spearman Rank Test | 0.67 | |
| Residual Average | 0.0 | |
| Price Variance | 120.25 |
Materials Analysis lagged returns against current returns
Autocorrelation, which is Materials Analysis 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 Materials Analysis' stock expected returns. We can calculate the autocorrelation of Materials Analysis returns to help us make a trade decision. For example, suppose you find that Materials Analysis 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 |
Materials Analysis 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 Materials Analysis stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Materials Analysis stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Materials Analysis stock over time.
Current vs Lagged Prices |
| Timeline |
Materials Analysis Lagged Returns
When evaluating Materials Analysis' market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Materials Analysis stock have on its future price. Materials Analysis 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, Materials Analysis autocorrelation shows the relationship between Materials Analysis stock current value and its past values and can show if there is a momentum factor associated with investing in Materials Analysis Technology.
Regressed Prices |
| Timeline |
Pair Trading with Materials Analysis
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 Materials Analysis 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 Materials Analysis will appreciate offsetting losses from the drop in the long position's value.Moving against Materials Stock
| 0.5 | 6670 | Fusheng Precision | PairCorr |
| 0.38 | 2423 | Good Will Instrument | PairCorr |
| 0.38 | 6579 | AAEON Technology | PairCorr |
| 0.32 | 8182 | Harmony Electronics | PairCorr |
The ability to find closely correlated positions to Materials Analysis could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Materials Analysis 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 Materials Analysis - 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 Materials Analysis Technology to buy it.
The correlation of Materials Analysis 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 Materials Analysis moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Materials Analysis 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 Materials Analysis 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.Additional Tools for Materials Stock Analysis
When running Materials Analysis' price analysis, check to measure Materials Analysis' 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 Materials Analysis is operating at the current time. Most of Materials Analysis' value examination focuses on studying past and present price action to predict the probability of Materials Analysis' future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Materials Analysis' price. Additionally, you may evaluate how the addition of Materials Analysis to your portfolios can decrease your overall portfolio volatility.