Xintela AB (Sweden) Market Value
XINT Stock | SEK 0.31 0.01 3.33% |
Symbol | Xintela |
Xintela AB '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 Xintela AB'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 Xintela AB.
02/27/2024 |
| 03/28/2024 |
If you would invest 0.00 in Xintela AB on February 27, 2024 and sell it all today you would earn a total of 0.00 from holding Xintela AB or generate 0.0% return on investment in Xintela AB over 30 days. Xintela AB is related to or competes with JLT Mobile, Soder Sportfiske, Maven Wireless, MTI Investment, Invisio Communications, and Lundin Mining. Xintela AB , a biomedical company, operates in the fields of regenerative medicine and cancer, focusing on cartilage dam... More
Xintela AB 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 Xintela AB'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 Xintela AB upside and downside potential and time the market with a certain degree of confidence.
Downside Deviation | 4.48 | |||
Information Ratio | 0.0399 | |||
Maximum Drawdown | 16.03 | |||
Value At Risk | (4.17) | |||
Potential Upside | 8.33 |
Xintela AB Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Xintela AB's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Xintela AB's standard deviation. In reality, there are many statistical measures that can use Xintela AB historical prices to predict the future Xintela AB's volatility.Risk Adjusted Performance | 0.0483 | |||
Jensen Alpha | 0.1203 | |||
Total Risk Alpha | (0.66) | |||
Sortino Ratio | 0.038 | |||
Treynor Ratio | 0.21 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Xintela AB'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.
Xintela AB Backtested Returns
Xintela AB appears to be out of control, given 3 months investment horizon. Xintela AB shows Sharpe Ratio of 0.0716, which attests that the company had a 0.0716% return per unit of risk over the last 3 months. We have found twenty-nine technical indicators for Xintela AB, which you can use to evaluate the volatility of the company. Please utilize Xintela AB's Downside Deviation of 4.48, market risk adjusted performance of 0.22, and Mean Deviation of 3.13 to validate if our risk estimates are consistent with your expectations. On a scale of 0 to 100, Xintela AB holds a performance score of 5. The firm maintains a market beta of 1.4, which attests to a somewhat significant risk relative to the market. As the market goes up, the company is expected to outperform it. However, if the market returns are negative, Xintela AB will likely underperform. Please check Xintela AB'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 Xintela AB's historical returns will revert.
Auto-correlation | -0.74 |
Almost perfect reverse predictability
Xintela AB has almost perfect reverse predictability. Overlapping area represents the amount of predictability between Xintela AB time series from 27th of February 2024 to 13th of March 2024 and 13th of March 2024 to 28th of March 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 Xintela AB price movement. The serial correlation of -0.74 indicates that around 74.0% of current Xintela AB price fluctuation can be explain by its past prices.
Correlation Coefficient | -0.74 | |
Spearman Rank Test | 0.06 | |
Residual Average | 0.0 | |
Price Variance | 0.0 |
Xintela AB lagged returns against current returns
Autocorrelation, which is Xintela AB 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 Xintela AB's stock expected returns. We can calculate the autocorrelation of Xintela AB returns to help us make a trade decision. For example, suppose you find that Xintela AB 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 |
Xintela AB 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 Xintela AB stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Xintela AB stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Xintela AB stock over time.
Current vs Lagged Prices |
Timeline |
Xintela AB Lagged Returns
When evaluating Xintela AB's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Xintela AB stock have on its future price. Xintela AB 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, Xintela AB autocorrelation shows the relationship between Xintela AB stock current value and its past values and can show if there is a momentum factor associated with investing in Xintela AB.
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 Xintela AB 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, Xintela AB's short interest history, or implied volatility extrapolated from Xintela AB options trading.
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Check out Xintela AB Correlation, Xintela AB Volatility and Xintela AB Alpha and Beta module to complement your research on Xintela AB. You can also try the Companies Directory module to evaluate performance of over 100,000 Stocks, Funds, and ETFs against different fundamentals.
Complementary Tools for Xintela Stock analysis
When running Xintela AB's price analysis, check to measure Xintela AB'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 Xintela AB is operating at the current time. Most of Xintela AB's value examination focuses on studying past and present price action to predict the probability of Xintela AB's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Xintela AB's price. Additionally, you may evaluate how the addition of Xintela AB to your portfolios can decrease your overall portfolio volatility.
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Xintela AB 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.