Synmosa Biopharma (Taiwan) Market Value
| 4114 Stock | TWD 34.00 0.50 1.49% |
| Symbol | Synmosa |
Synmosa Biopharma '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 Synmosa Biopharma'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 Synmosa Biopharma.
| 12/15/2024 |
| 03/15/2025 |
If you would invest 0.00 in Synmosa Biopharma on December 15, 2024 and sell it all today you would earn a total of 0.00 from holding Synmosa Biopharma or generate 0.0% return on investment in Synmosa Biopharma over 90 days. Synmosa Biopharma is related to or competes with Song Shang, Ching Feng, General Plastic, Gloria Material, Nan Ya, and China Times. Synmosa Biopharma Corporation, a specialty pharmaceutical company, researches and develops, manufactures, markets, and d... More
Synmosa Biopharma 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 Synmosa Biopharma'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 Synmosa Biopharma upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | 0.0652 | |||
| Maximum Drawdown | 6.07 | |||
| Value At Risk | (1.49) | |||
| Potential Upside | 2.0 |
Synmosa Biopharma Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Synmosa Biopharma's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Synmosa Biopharma's standard deviation. In reality, there are many statistical measures that can use Synmosa Biopharma historical prices to predict the future Synmosa Biopharma's volatility.| Risk Adjusted Performance | (0.02) | |||
| Jensen Alpha | (0.05) | |||
| Total Risk Alpha | 0.0916 | |||
| Treynor Ratio | 0.5306 |
Synmosa Biopharma Backtested Returns
At this stage we consider Synmosa Stock to be very steady. Synmosa Biopharma owns Efficiency Ratio (i.e., Sharpe Ratio) of 0.0922, which indicates the firm had a 0.0922 % return per unit of risk over the last 3 months. We have found twenty-two technical indicators for Synmosa Biopharma, which you can use to evaluate the volatility of the company. Please validate Synmosa Biopharma's Risk Adjusted Performance of (0.02), variance of 1.11, and Coefficient Of Variation of (3,475) to confirm if the risk estimate we provide is consistent with the expected return of 0.1%. Synmosa Biopharma has a performance score of 7 on a scale of 0 to 100. The entity has a beta of -0.076, which indicates not very significant fluctuations relative to the market. As returns on the market increase, returns on owning Synmosa Biopharma are expected to decrease at a much lower rate. During the bear market, Synmosa Biopharma is likely to outperform the market. Synmosa Biopharma right now has a risk of 1.09%. Please validate Synmosa Biopharma jensen alpha, treynor ratio, and the relationship between the information ratio and total risk alpha , to decide if Synmosa Biopharma will be following its existing price patterns.
Auto-correlation | -0.31 |
Poor reverse predictability
Synmosa Biopharma has poor reverse predictability. Overlapping area represents the amount of predictability between Synmosa Biopharma time series from 15th of December 2024 to 29th of January 2025 and 29th of January 2025 to 15th 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 Synmosa Biopharma price movement. The serial correlation of -0.31 indicates that nearly 31.0% of current Synmosa Biopharma price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.31 | |
| Spearman Rank Test | 0.05 | |
| Residual Average | 0.0 | |
| Price Variance | 0.14 |
Synmosa Biopharma lagged returns against current returns
Autocorrelation, which is Synmosa Biopharma 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 Synmosa Biopharma's stock expected returns. We can calculate the autocorrelation of Synmosa Biopharma returns to help us make a trade decision. For example, suppose you find that Synmosa Biopharma 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 |
Synmosa Biopharma 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 Synmosa Biopharma stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Synmosa Biopharma stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Synmosa Biopharma stock over time.
Current vs Lagged Prices |
| Timeline |
Synmosa Biopharma Lagged Returns
When evaluating Synmosa Biopharma's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Synmosa Biopharma stock have on its future price. Synmosa Biopharma 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, Synmosa Biopharma autocorrelation shows the relationship between Synmosa Biopharma stock current value and its past values and can show if there is a momentum factor associated with investing in Synmosa Biopharma.
Regressed Prices |
| Timeline |
Pair Trading with Synmosa Biopharma
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 Synmosa Biopharma 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 Synmosa Biopharma will appreciate offsetting losses from the drop in the long position's value.Moving against Synmosa Stock
The ability to find closely correlated positions to Synmosa Biopharma could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Synmosa Biopharma 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 Synmosa Biopharma - 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 Synmosa Biopharma to buy it.
The correlation of Synmosa Biopharma 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 Synmosa Biopharma moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Synmosa Biopharma 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 Synmosa Biopharma 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 Synmosa Stock Analysis
When running Synmosa Biopharma's price analysis, check to measure Synmosa Biopharma'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 Synmosa Biopharma is operating at the current time. Most of Synmosa Biopharma's value examination focuses on studying past and present price action to predict the probability of Synmosa Biopharma's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Synmosa Biopharma's price. Additionally, you may evaluate how the addition of Synmosa Biopharma to your portfolios can decrease your overall portfolio volatility.