Dynamic Precision (Taiwan) Market Value
| 8928 Stock | TWD 31.95 0.20 0.62% |
| Symbol | Dynamic |
Dynamic Precision '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 Dynamic Precision'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 Dynamic Precision.
| 08/29/2024 |
| 11/27/2024 |
If you would invest 0.00 in Dynamic Precision on August 29, 2024 and sell it all today you would earn a total of 0.00 from holding Dynamic Precision Industry or generate 0.0% return on investment in Dynamic Precision over 90 days. Dynamic Precision is related to or competes with Yulon Finance, Taiwan Secom, Pou Chen, and Great Wall. More
Dynamic Precision 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 Dynamic Precision'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 Dynamic Precision Industry upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.703 | |||
| Information Ratio | (0.20) | |||
| Maximum Drawdown | 3.36 | |||
| Value At Risk | (1.04) | |||
| Potential Upside | 0.7692 |
Dynamic Precision Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Dynamic Precision's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Dynamic Precision's standard deviation. In reality, there are many statistical measures that can use Dynamic Precision historical prices to predict the future Dynamic Precision's volatility.| Risk Adjusted Performance | 0.0179 | |||
| Jensen Alpha | (0.0008) | |||
| Total Risk Alpha | (0.08) | |||
| Sortino Ratio | (0.16) | |||
| Treynor Ratio | 0.1068 |
Dynamic Precision Backtested Returns
At this stage we consider Dynamic Stock to be very steady. Dynamic Precision secures Sharpe Ratio (or Efficiency) of 0.0157, which denotes the company had a 0.0157% return per unit of risk over the last 3 months. We have found twenty-nine technical indicators for Dynamic Precision Industry, which you can use to evaluate the volatility of the firm. Please confirm Dynamic Precision's Downside Deviation of 0.703, mean deviation of 0.4344, and Coefficient Of Variation of 3613.06 to check if the risk estimate we provide is consistent with the expected return of 0.0091%. Dynamic Precision has a performance score of 1 on a scale of 0 to 100. The firm shows a Beta (market volatility) of 0.0555, which means not very significant fluctuations relative to the market. As returns on the market increase, Dynamic Precision's returns are expected to increase less than the market. However, during the bear market, the loss of holding Dynamic Precision is expected to be smaller as well. Dynamic Precision right now shows a risk of 0.58%. Please confirm Dynamic Precision downside deviation, standard deviation, total risk alpha, as well as the relationship between the coefficient of variation and jensen alpha , to decide if Dynamic Precision will be following its price patterns.
Auto-correlation | -0.77 |
Almost perfect reverse predictability
Dynamic Precision Industry has almost perfect reverse predictability. Overlapping area represents the amount of predictability between Dynamic Precision time series from 29th of August 2024 to 13th of October 2024 and 13th of October 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 Dynamic Precision price movement. The serial correlation of -0.77 indicates that around 77.0% of current Dynamic Precision price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.77 | |
| Spearman Rank Test | -0.66 | |
| Residual Average | 0.0 | |
| Price Variance | 0.11 |
Dynamic Precision lagged returns against current returns
Autocorrelation, which is Dynamic Precision 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 Dynamic Precision's stock expected returns. We can calculate the autocorrelation of Dynamic Precision returns to help us make a trade decision. For example, suppose you find that Dynamic Precision 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 |
Dynamic Precision 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 Dynamic Precision stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Dynamic Precision stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Dynamic Precision stock over time.
Current vs Lagged Prices |
| Timeline |
Dynamic Precision Lagged Returns
When evaluating Dynamic Precision's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Dynamic Precision stock have on its future price. Dynamic Precision 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, Dynamic Precision autocorrelation shows the relationship between Dynamic Precision stock current value and its past values and can show if there is a momentum factor associated with investing in Dynamic Precision Industry.
Regressed Prices |
| Timeline |
Pair Trading with Dynamic Precision
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 Dynamic Precision 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 Dynamic Precision will appreciate offsetting losses from the drop in the long position's value.The ability to find closely correlated positions to Dynamic Precision could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Dynamic Precision 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 Dynamic Precision - 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 Dynamic Precision Industry to buy it.
The correlation of Dynamic Precision 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 Dynamic Precision moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Dynamic Precision 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 Dynamic Precision 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 Dynamic Stock Analysis
When running Dynamic Precision's price analysis, check to measure Dynamic Precision'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 Dynamic Precision is operating at the current time. Most of Dynamic Precision's value examination focuses on studying past and present price action to predict the probability of Dynamic Precision's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Dynamic Precision's price. Additionally, you may evaluate how the addition of Dynamic Precision to your portfolios can decrease your overall portfolio volatility.