Mercuries Data (Taiwan) Market Value
| 2427 Stock | TWD 25.60 0.60 2.29% |
| Symbol | Mercuries |
Mercuries 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 Mercuries 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 Mercuries Data.
| 10/30/2024 |
| 11/29/2024 |
If you would invest 0.00 in Mercuries Data on October 30, 2024 and sell it all today you would earn a total of 0.00 from holding Mercuries Data Systems or generate 0.0% return on investment in Mercuries Data over 30 days. Mercuries Data is related to or competes with United Microelectronics, Winbond Electronics, and Macronix International. Mercuries Data Systems Ltd. provides automated banking and self-service solutions More
Mercuries 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 Mercuries 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 Mercuries Data Systems upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.16) | |||
| Maximum Drawdown | 8.42 | |||
| Value At Risk | (2.38) | |||
| Potential Upside | 2.25 |
Mercuries Data Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Mercuries Data's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Mercuries Data's standard deviation. In reality, there are many statistical measures that can use Mercuries Data historical prices to predict the future Mercuries Data's volatility.| Risk Adjusted Performance | (0.06) | |||
| Jensen Alpha | (0.19) | |||
| Total Risk Alpha | (0.38) | |||
| Treynor Ratio | (0.31) |
Mercuries Data Systems Backtested Returns
Mercuries Data Systems has Sharpe Ratio of -0.0748, which conveys that the firm had a -0.0748% return per unit of risk over the last 3 months. Mercuries Data exposes twenty-three different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please verify Mercuries Data's Risk Adjusted Performance of (0.06), standard deviation of 1.6, and Mean Deviation of 1.14 to check out the risk estimate we provide. The company secures a Beta (Market Risk) of 0.46, which conveys possible diversification benefits within a given portfolio. As returns on the market increase, Mercuries Data's returns are expected to increase less than the market. However, during the bear market, the loss of holding Mercuries Data is expected to be smaller as well. At this point, Mercuries Data Systems has a negative expected return of -0.12%. Please make sure to verify Mercuries Data's treynor ratio, value at risk, and the relationship between the total risk alpha and maximum drawdown , to decide if Mercuries Data Systems performance from the past will be repeated at some point in the near future.
Auto-correlation | 0.70 |
Good predictability
Mercuries Data Systems has good predictability. Overlapping area represents the amount of predictability between Mercuries Data time series from 30th of October 2024 to 14th of November 2024 and 14th of November 2024 to 29th 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 Mercuries Data Systems price movement. The serial correlation of 0.7 indicates that around 70.0% of current Mercuries Data price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.7 | |
| Spearman Rank Test | -0.3 | |
| Residual Average | 0.0 | |
| Price Variance | 0.08 |
Mercuries Data Systems lagged returns against current returns
Autocorrelation, which is Mercuries 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 Mercuries Data's stock expected returns. We can calculate the autocorrelation of Mercuries Data returns to help us make a trade decision. For example, suppose you find that Mercuries 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 |
Mercuries 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 Mercuries Data stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Mercuries Data stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Mercuries Data stock over time.
Current vs Lagged Prices |
| Timeline |
Mercuries Data Lagged Returns
When evaluating Mercuries Data's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Mercuries Data stock have on its future price. Mercuries 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, Mercuries Data autocorrelation shows the relationship between Mercuries Data stock current value and its past values and can show if there is a momentum factor associated with investing in Mercuries Data Systems.
Regressed Prices |
| Timeline |
Also Currently Popular
Analyzing currently trending equities could be an opportunity to develop a better portfolio based on different market momentums that they can trigger. Utilizing the top trending stocks is also useful when creating a market-neutral strategy or pair trading technique involving a short or a long position in a currently trending equity.Additional Tools for Mercuries Stock Analysis
When running Mercuries Data's price analysis, check to measure Mercuries 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 Mercuries Data is operating at the current time. Most of Mercuries Data's value examination focuses on studying past and present price action to predict the probability of Mercuries 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 Mercuries Data's price. Additionally, you may evaluate how the addition of Mercuries Data to your portfolios can decrease your overall portfolio volatility.