K2A Knaust (Sweden) Market Value
| K2A-PREF | SEK 169.50 1.50 0.89% |
| Symbol | K2A |
K2A Knaust '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 K2A Knaust'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 K2A Knaust.
| 02/28/2023 |
| 02/17/2025 |
If you would invest 0.00 in K2A Knaust on February 28, 2023 and sell it all today you would earn a total of 0.00 from holding K2A Knaust Andersson or generate 0.0% return on investment in K2A Knaust over 720 days. K2A Knaust is related to or competes with AB Sagax, AB Sagax, AB Sagax, Fastighets, SBB-D, Wihlborgs Fastigheter, and Corem Property. K2A Knaust Andersson Fastigheter AB operates as a real estate company primarily in the metropolitan areas and university... More
K2A Knaust 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 K2A Knaust'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 K2A Knaust Andersson upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.15) | |||
| Maximum Drawdown | 9.6 | |||
| Value At Risk | (1.93) | |||
| Potential Upside | 1.36 |
K2A Knaust Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for K2A Knaust's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as K2A Knaust's standard deviation. In reality, there are many statistical measures that can use K2A Knaust historical prices to predict the future K2A Knaust's volatility.| Risk Adjusted Performance | (0.1) | |||
| Jensen Alpha | (0.21) | |||
| Total Risk Alpha | (0.21) | |||
| Treynor Ratio | 1.56 |
K2A Knaust Andersson Backtested Returns
K2A Knaust Andersson retains Efficiency (Sharpe Ratio) of -0.11, which conveys that the company had a -0.11 % return per unit of return volatility over the last 3 months. K2A Knaust exposes twenty-four different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please verify K2A Knaust's Mean Deviation of 0.9106, standard deviation of 1.36, and Market Risk Adjusted Performance of 1.57 to check out the risk estimate we provide. The firm owns a Beta (Systematic Risk) of -0.13, which conveys not very significant fluctuations relative to the market. As returns on the market increase, returns on owning K2A Knaust are expected to decrease at a much lower rate. During the bear market, K2A Knaust is likely to outperform the market. At this point, K2A Knaust Andersson has a negative expected return of -0.15%. Please make sure to verify K2A Knaust's treynor ratio, skewness, and the relationship between the jensen alpha and value at risk , to decide if K2A Knaust Andersson performance from the past will be repeated sooner or later.
Auto-correlation | -0.3 |
Weak reverse predictability
K2A Knaust Andersson has weak reverse predictability. Overlapping area represents the amount of predictability between K2A Knaust time series from 28th of February 2023 to 23rd of February 2024 and 23rd of February 2024 to 17th of February 2025. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of K2A Knaust Andersson price movement. The serial correlation of -0.3 indicates that nearly 30.0% of current K2A Knaust price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.3 | |
| Spearman Rank Test | -0.07 | |
| Residual Average | 0.0 | |
| Price Variance | 1277.29 |
K2A Knaust Andersson lagged returns against current returns
Autocorrelation, which is K2A Knaust 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 K2A Knaust's stock expected returns. We can calculate the autocorrelation of K2A Knaust returns to help us make a trade decision. For example, suppose you find that K2A Knaust 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 |
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K2A Knaust 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 K2A Knaust stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if K2A Knaust stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in K2A Knaust stock over time.
Current vs Lagged Prices |
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K2A Knaust Lagged Returns
When evaluating K2A Knaust's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of K2A Knaust stock have on its future price. K2A Knaust 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, K2A Knaust autocorrelation shows the relationship between K2A Knaust stock current value and its past values and can show if there is a momentum factor associated with investing in K2A Knaust Andersson.
Regressed Prices |
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Thematic Opportunities
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Other Information on Investing in K2A Stock
K2A Knaust financial ratios help investors to determine whether K2A Stock is cheap or expensive when compared to a particular measure, such as profits or enterprise value. In other words, they help investors to determine the cost of investment in K2A with respect to the benefits of owning K2A Knaust security.