Know IT (Sweden) Market Value
| KNOW Stock | SEK 133.40 0.40 0.30% |
| Symbol | Know |
Know 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 Know 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 Know IT.
| 05/30/2024 |
| 11/26/2024 |
If you would invest 0.00 in Know IT on May 30, 2024 and sell it all today you would earn a total of 0.00 from holding Know IT AB or generate 0.0% return on investment in Know IT over 180 days. Know IT is related to or competes with Novotek AB, Addnode Group, Softronic, and CTT Systems. Knowit AB , a consultancy company, provides digital and cross-functional solutions in the Nordic region More
Know 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 Know 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 Know IT AB upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.18) | |||
| Maximum Drawdown | 13.68 | |||
| Value At Risk | (3.68) | |||
| Potential Upside | 2.54 |
Know IT Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Know IT's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Know IT's standard deviation. In reality, there are many statistical measures that can use Know IT historical prices to predict the future Know IT's volatility.| Risk Adjusted Performance | (0.08) | |||
| Jensen Alpha | (0.31) | |||
| Total Risk Alpha | (0.56) | |||
| Treynor Ratio | (0.41) |
Know IT AB Backtested Returns
Know IT AB has Sharpe Ratio of -0.11, which conveys that the firm had a -0.11% return per unit of risk over the last 3 months. Know IT exposes twenty-three different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please verify Know IT's Standard Deviation of 2.05, risk adjusted performance of (0.08), and Mean Deviation of 1.42 to check out the risk estimate we provide. The company secures a Beta (Market Risk) of 0.6, which conveys possible diversification benefits within a given portfolio. As returns on the market increase, Know IT's returns are expected to increase less than the market. However, during the bear market, the loss of holding Know IT is expected to be smaller as well. At this point, Know IT AB has a negative expected return of -0.22%. Please make sure to verify Know IT's value at risk, skewness, and the relationship between the maximum drawdown and potential upside , to decide if Know IT AB performance from the past will be repeated at some point in the near future.
Auto-correlation | 0.83 |
Very good predictability
Know IT AB has very good predictability. Overlapping area represents the amount of predictability between Know IT time series from 30th of May 2024 to 28th of August 2024 and 28th of August 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 Know IT AB price movement. The serial correlation of 0.83 indicates that around 83.0% of current Know IT price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.83 | |
| Spearman Rank Test | 0.75 | |
| Residual Average | 0.0 | |
| Price Variance | 139.78 |
Know IT AB lagged returns against current returns
Autocorrelation, which is Know 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 Know IT's stock expected returns. We can calculate the autocorrelation of Know IT returns to help us make a trade decision. For example, suppose you find that Know 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 |
Know 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 Know IT stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Know IT stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Know IT stock over time.
Current vs Lagged Prices |
| Timeline |
Know IT Lagged Returns
When evaluating Know IT's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Know IT stock have on its future price. Know 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, Know IT autocorrelation shows the relationship between Know IT stock current value and its past values and can show if there is a momentum factor associated with investing in Know IT AB.
Regressed Prices |
| Timeline |
Thematic Opportunities
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Additional Tools for Know Stock Analysis
When running Know IT's price analysis, check to measure Know 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 Know IT is operating at the current time. Most of Know IT's value examination focuses on studying past and present price action to predict the probability of Know 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 Know IT's price. Additionally, you may evaluate how the addition of Know IT to your portfolios can decrease your overall portfolio volatility.