S Tech (Taiwan) Market Value
| 1584 Stock | TWD 32.10 0.15 0.47% |
| Symbol | 1584 |
S Tech '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 S Tech'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 S Tech.
| 05/07/2023 |
| 11/27/2024 |
If you would invest 0.00 in S Tech on May 7, 2023 and sell it all today you would earn a total of 0.00 from holding S Tech Corp or generate 0.0% return on investment in S Tech over 570 days. S Tech is related to or competes with China Steel, Iron Force, Mayer Steel, Shinkong Insurance, Chia Yi, Sheng Yu, and Sports Gear. S-Tech Corp. manufactures and sells alloy products in Taiwan More
S Tech 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 S Tech'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 S Tech Corp upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.24) | |||
| Maximum Drawdown | 13.53 | |||
| Value At Risk | (3.50) | |||
| Potential Upside | 2.63 |
S Tech Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for S Tech's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as S Tech's standard deviation. In reality, there are many statistical measures that can use S Tech historical prices to predict the future S Tech's volatility.| Risk Adjusted Performance | (0.13) | |||
| Jensen Alpha | (0.35) | |||
| Total Risk Alpha | (0.67) | |||
| Treynor Ratio | 3.28 |
S Tech Corp Backtested Returns
S Tech Corp owns Efficiency Ratio (i.e., Sharpe Ratio) of -0.17, which indicates the company had a -0.17% return per unit of standard deviation over the last 3 months. S Tech Corp exposes twenty-two different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please validate S Tech's Risk Adjusted Performance of (0.13), standard deviation of 1.98, and Market Risk Adjusted Performance of 3.29 to confirm the risk estimate we provide. The firm has a beta of -0.11, which indicates not very significant fluctuations relative to the market. As returns on the market increase, returns on owning S Tech are expected to decrease at a much lower rate. During the bear market, S Tech is likely to outperform the market. At this point, S Tech Corp has a negative expected return of -0.35%. Please make sure to validate S Tech's treynor ratio, potential upside, and the relationship between the total risk alpha and maximum drawdown , to decide if S Tech Corp performance from the past will be repeated at some future date.
Auto-correlation | 0.19 |
Very weak predictability
S Tech Corp has very weak predictability. Overlapping area represents the amount of predictability between S Tech time series from 7th of May 2023 to 16th of February 2024 and 16th of February 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 S Tech Corp price movement. The serial correlation of 0.19 indicates that over 19.0% of current S Tech price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.19 | |
| Spearman Rank Test | -0.1 | |
| Residual Average | 0.0 | |
| Price Variance | 6.15 |
S Tech Corp lagged returns against current returns
Autocorrelation, which is S Tech 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 S Tech's stock expected returns. We can calculate the autocorrelation of S Tech returns to help us make a trade decision. For example, suppose you find that S Tech 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 |
S Tech 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 S Tech stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if S Tech stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in S Tech stock over time.
Current vs Lagged Prices |
| Timeline |
S Tech Lagged Returns
When evaluating S Tech's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of S Tech stock have on its future price. S Tech 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, S Tech autocorrelation shows the relationship between S Tech stock current value and its past values and can show if there is a momentum factor associated with investing in S Tech Corp.
Regressed Prices |
| Timeline |
Pair Trading with S Tech
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 S Tech 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 S Tech will appreciate offsetting losses from the drop in the long position's value.Moving together with 1584 Stock
| 0.92 | 2211 | Evergreen Steel Corp | PairCorr |
| 0.81 | 3376 | Shin Zu Shing | PairCorr |
| 0.73 | 1532 | China Metal Products | PairCorr |
Moving against 1584 Stock
| 0.78 | 1569 | Bin Chuan Enterprise | PairCorr |
| 0.75 | 3529 | eMemory Technology | PairCorr |
| 0.73 | 0050 | YuantaP shares Taiwan | PairCorr |
| 0.71 | 3443 | Global Unichip Corp | PairCorr |
| 0.71 | 0057 | Fubon MSCI Taiwan | PairCorr |
The ability to find closely correlated positions to S Tech could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace S Tech 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 S Tech - 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 S Tech Corp to buy it.
The correlation of S Tech 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 S Tech moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if S Tech Corp 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 S Tech 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 1584 Stock Analysis
When running S Tech's price analysis, check to measure S Tech'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 S Tech is operating at the current time. Most of S Tech's value examination focuses on studying past and present price action to predict the probability of S Tech's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move S Tech's price. Additionally, you may evaluate how the addition of S Tech to your portfolios can decrease your overall portfolio volatility.