Provision Information (Taiwan) Market Value
| 6590 Stock | TWD 74.50 1.50 2.05% |
| Symbol | Provision |
Provision Information '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 Provision Information'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 Provision Information.
| 10/13/2024 |
| 12/12/2024 |
If you would invest 0.00 in Provision Information on October 13, 2024 and sell it all today you would earn a total of 0.00 from holding Provision Information CoLtd or generate 0.0% return on investment in Provision Information over 60 days. Provision Information is related to or competes with Insyde Software, Otsuka Information, Ruentex Development, Symtek Automation, WiseChip Semiconductor, and Novatek Microelectronics. ,LTD provides payment, financial application, information security, and outsourcing services More
Provision Information 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 Provision Information'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 Provision Information CoLtd upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 1.74 | |||
| Information Ratio | (0.01) | |||
| Maximum Drawdown | 9.4 | |||
| Value At Risk | (2.70) | |||
| Potential Upside | 3.24 |
Provision Information Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Provision Information's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Provision Information's standard deviation. In reality, there are many statistical measures that can use Provision Information historical prices to predict the future Provision Information's volatility.| Risk Adjusted Performance | 0.052 | |||
| Jensen Alpha | 0.1076 | |||
| Total Risk Alpha | (0.17) | |||
| Sortino Ratio | (0.01) | |||
| Treynor Ratio | (1.23) |
Provision Information Backtested Returns
At this stage we consider Provision Stock to be very steady. Provision Information maintains Sharpe Ratio (i.e., Efficiency) of 0.0781, which implies the firm had a 0.0781% return per unit of risk over the last 3 months. We have found twenty-nine technical indicators for Provision Information, which you can use to evaluate the volatility of the company. Please check Provision Information's Risk Adjusted Performance of 0.052, semi deviation of 1.29, and Coefficient Of Variation of 1562.92 to confirm if the risk estimate we provide is consistent with the expected return of 0.14%. Provision Information has a performance score of 6 on a scale of 0 to 100. The company holds a Beta of -0.0798, which implies not very significant fluctuations relative to the market. As returns on the market increase, returns on owning Provision Information are expected to decrease at a much lower rate. During the bear market, Provision Information is likely to outperform the market. Provision Information right now holds a risk of 1.74%. Please check Provision Information downside deviation, standard deviation, total risk alpha, as well as the relationship between the coefficient of variation and jensen alpha , to decide if Provision Information will be following its historical price patterns.
Auto-correlation | 0.32 |
Below average predictability
Provision Information CoLtd has below average predictability. Overlapping area represents the amount of predictability between Provision Information time series from 13th of October 2024 to 12th of November 2024 and 12th of November 2024 to 12th of December 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 Provision Information price movement. The serial correlation of 0.32 indicates that nearly 32.0% of current Provision Information price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.32 | |
| Spearman Rank Test | 0.16 | |
| Residual Average | 0.0 | |
| Price Variance | 1.78 |
Provision Information lagged returns against current returns
Autocorrelation, which is Provision Information 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 Provision Information's stock expected returns. We can calculate the autocorrelation of Provision Information returns to help us make a trade decision. For example, suppose you find that Provision Information 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 |
Provision Information 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 Provision Information stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Provision Information stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Provision Information stock over time.
Current vs Lagged Prices |
| Timeline |
Provision Information Lagged Returns
When evaluating Provision Information's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Provision Information stock have on its future price. Provision Information 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, Provision Information autocorrelation shows the relationship between Provision Information stock current value and its past values and can show if there is a momentum factor associated with investing in Provision Information CoLtd.
Regressed Prices |
| Timeline |
Pair Trading with Provision Information
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 Provision Information 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 Provision Information will appreciate offsetting losses from the drop in the long position's value.The ability to find closely correlated positions to Provision Information could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Provision Information 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 Provision Information - 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 Provision Information CoLtd to buy it.
The correlation of Provision Information 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 Provision Information moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Provision Information 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 Provision Information 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 Provision Stock Analysis
When running Provision Information's price analysis, check to measure Provision Information'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 Provision Information is operating at the current time. Most of Provision Information's value examination focuses on studying past and present price action to predict the probability of Provision Information's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Provision Information's price. Additionally, you may evaluate how the addition of Provision Information to your portfolios can decrease your overall portfolio volatility.