Dimerco Data (Taiwan) Market Value
| 5403 Stock | TWD 108.00 0.50 0.47% |
| Symbol | Dimerco |
Dimerco Data '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 Dimerco Data'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 Dimerco Data.
| 08/28/2024 |
| 11/26/2024 |
If you would invest 0.00 in Dimerco Data on August 28, 2024 and sell it all today you would earn a total of 0.00 from holding Dimerco Data System or generate 0.0% return on investment in Dimerco Data over 90 days. Dimerco Data is related to or competes with YuantaP Shares, YuantaP Shares, YuantaP Shares, and Fubon MSCI. Dimerco Data System Corporation provides various software and hardware services in Taiwan More
Dimerco Data 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 Dimerco Data'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 Dimerco Data System upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.26) | |||
| Maximum Drawdown | 4.53 | |||
| Value At Risk | (1.72) | |||
| Potential Upside | 0.8734 |
Dimerco Data Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Dimerco Data's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Dimerco Data's standard deviation. In reality, there are many statistical measures that can use Dimerco Data historical prices to predict the future Dimerco Data's volatility.| Risk Adjusted Performance | (0.08) | |||
| Jensen Alpha | (0.12) | |||
| Total Risk Alpha | (0.23) | |||
| Treynor Ratio | (0.60) |
Dimerco Data System Backtested Returns
Dimerco Data System secures Sharpe Ratio (or Efficiency) of -0.16, which denotes the company had a -0.16% return per unit of risk over the last 3 months. Dimerco Data System exposes twenty-three different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please confirm Dimerco Data's Mean Deviation of 0.5994, variance of 0.7326, and Standard Deviation of 0.8559 to check the risk estimate we provide. The firm shows a Beta (market volatility) of 0.17, which means not very significant fluctuations relative to the market. As returns on the market increase, Dimerco Data's returns are expected to increase less than the market. However, during the bear market, the loss of holding Dimerco Data is expected to be smaller as well. At this point, Dimerco Data System has a negative expected return of -0.14%. Please make sure to confirm Dimerco Data's standard deviation, total risk alpha, maximum drawdown, as well as the relationship between the jensen alpha and treynor ratio , to decide if Dimerco Data System performance from the past will be repeated at some point in the near future.
Auto-correlation | -0.32 |
Poor reverse predictability
Dimerco Data System has poor reverse predictability. Overlapping area represents the amount of predictability between Dimerco Data time series from 28th of August 2024 to 12th of October 2024 and 12th of October 2024 to 26th 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 Dimerco Data System price movement. The serial correlation of -0.32 indicates that nearly 32.0% of current Dimerco Data price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.32 | |
| Spearman Rank Test | -0.44 | |
| Residual Average | 0.0 | |
| Price Variance | 11.73 |
Dimerco Data System lagged returns against current returns
Autocorrelation, which is Dimerco Data 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 Dimerco Data's stock expected returns. We can calculate the autocorrelation of Dimerco Data returns to help us make a trade decision. For example, suppose you find that Dimerco Data 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 |
Dimerco Data 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 Dimerco Data stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Dimerco Data stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Dimerco Data stock over time.
Current vs Lagged Prices |
| Timeline |
Dimerco Data Lagged Returns
When evaluating Dimerco Data's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Dimerco Data stock have on its future price. Dimerco Data 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, Dimerco Data autocorrelation shows the relationship between Dimerco Data stock current value and its past values and can show if there is a momentum factor associated with investing in Dimerco Data System.
Regressed Prices |
| Timeline |
Pair Trading with Dimerco Data
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 Dimerco Data 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 Dimerco Data will appreciate offsetting losses from the drop in the long position's value.Moving together with Dimerco Stock
Moving against Dimerco Stock
| 0.57 | 2891B | CTBC Financial Holding | PairCorr |
| 0.5 | 2891 | CTBC Financial Holding | PairCorr |
| 0.4 | 2883 | China Development Earnings Call Today | PairCorr |
| 0.39 | 2504 | Goldsun Building Mat | PairCorr |
The ability to find closely correlated positions to Dimerco Data could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Dimerco Data 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 Dimerco Data - 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 Dimerco Data System to buy it.
The correlation of Dimerco Data 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 Dimerco Data moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Dimerco Data System 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 Dimerco Data 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 Dimerco Stock Analysis
When running Dimerco Data's price analysis, check to measure Dimerco Data'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 Dimerco Data is operating at the current time. Most of Dimerco Data's value examination focuses on studying past and present price action to predict the probability of Dimerco Data's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Dimerco Data's price. Additionally, you may evaluate how the addition of Dimerco Data to your portfolios can decrease your overall portfolio volatility.