Proact IT (Sweden) Market Value
| PACT Stock | SEK 106.00 1.80 1.73% |
| Symbol | Proact |
Proact IT '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 Proact IT'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 Proact IT.
| 03/25/2024 |
| 04/24/2024 |
If you would invest 0.00 in Proact IT on March 25, 2024 and sell it all today you would earn a total of 0.00 from holding Proact IT Group or generate 0.0% return on investment in Proact IT over 30 days. Proact IT is related to or competes with Novotek AB, Addnode Group, Softronic, and CTT Systems. Proact IT Group AB , together with its subsidiaries, provides data and information management services with focus on clo... More
Proact IT 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 Proact IT'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 Proact IT Group upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 1.42 | |||
| Information Ratio | 0.0722 | |||
| Maximum Drawdown | 12.3 | |||
| Value At Risk | (1.90) | |||
| Potential Upside | 2.13 |
Proact IT Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Proact IT's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Proact IT's standard deviation. In reality, there are many statistical measures that can use Proact IT historical prices to predict the future Proact IT's volatility.| Risk Adjusted Performance | 0.0834 | |||
| Jensen Alpha | 0.1769 | |||
| Total Risk Alpha | (0.02) | |||
| Sortino Ratio | 0.0858 | |||
| Treynor Ratio | 0.6654 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Proact IT's price to converge to an average value over time is called mean reversion. However, historically, high market prices usually discourage investors that believe in mean reversion to invest, while low prices are viewed as an opportunity to buy.
Proact IT Group Backtested Returns
Proact IT appears to be very steady, given 3 months investment horizon. Proact IT Group maintains Sharpe Ratio (i.e., Efficiency) of 0.14, which implies the firm had a 0.14% return per unit of risk over the last 3 months. We have found twenty-nine technical indicators for Proact IT Group, which you can use to evaluate the volatility of the company. Please evaluate Proact IT's Coefficient Of Variation of 798.65, risk adjusted performance of 0.0834, and Semi Deviation of 1.18 to confirm if our risk estimates are consistent with your expectations. On a scale of 0 to 100, Proact IT holds a performance score of 11. The company holds a Beta of 0.3, which implies possible diversification benefits within a given portfolio. As returns on the market increase, Proact IT's returns are expected to increase less than the market. However, during the bear market, the loss of holding Proact IT is expected to be smaller as well. Please check Proact IT's total risk alpha, treynor ratio, value at risk, as well as the relationship between the sortino ratio and maximum drawdown , to make a quick decision on whether Proact IT's historical price patterns will revert.
Auto-correlation | -0.16 |
Insignificant reverse predictability
Proact IT Group has insignificant reverse predictability. Overlapping area represents the amount of predictability between Proact IT time series from 25th of March 2024 to 9th of April 2024 and 9th of April 2024 to 24th of April 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 Proact IT Group price movement. The serial correlation of -0.16 indicates that over 16.0% of current Proact IT price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.16 | |
| Spearman Rank Test | -0.28 | |
| Residual Average | 0.0 | |
| Price Variance | 1.04 |
Proact IT Group lagged returns against current returns
Autocorrelation, which is Proact IT 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 Proact IT's stock expected returns. We can calculate the autocorrelation of Proact IT returns to help us make a trade decision. For example, suppose you find that Proact IT 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 |
Proact IT 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 Proact IT stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Proact IT stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Proact IT stock over time.
Current vs Lagged Prices |
| Timeline |
Proact IT Lagged Returns
When evaluating Proact IT's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Proact IT stock have on its future price. Proact IT 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, Proact IT autocorrelation shows the relationship between Proact IT stock current value and its past values and can show if there is a momentum factor associated with investing in Proact IT Group.
Regressed Prices |
| Timeline |
Some investors attempt to determine whether the market's mood is bullish or bearish by monitoring changes in market sentiment. Unlike more traditional methods such as technical analysis, investor sentiment usually refers to the aggregate attitude towards Proact IT in the overall investment community. So, suppose investors can accurately measure the market's sentiment. In that case, they can use it for their benefit. For example, some tools to gauge market sentiment could be utilized using contrarian indexes, Proact IT's short interest history, or implied volatility extrapolated from Proact IT options trading.
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Check out Proact IT Correlation, Proact IT Volatility and Proact IT Alpha and Beta module to complement your research on Proact IT. You can also try the Portfolio Anywhere module to track or share privately all of your investments from the convenience of any device.
Complementary Tools for Proact Stock analysis
When running Proact IT's price analysis, check to measure Proact IT'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 Proact IT is operating at the current time. Most of Proact IT's value examination focuses on studying past and present price action to predict the probability of Proact IT's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Proact IT's price. Additionally, you may evaluate how the addition of Proact IT to your portfolios can decrease your overall portfolio volatility.
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Proact IT technical stock analysis exercises models and trading practices based on price and volume transformations, such as the moving averages, relative strength index, regressions, price and return correlations, business cycles, stock market cycles, or different charting patterns.