Acrinova (Sweden) Market Value
ACRI-B Stock | SEK 9.20 0.10 1.08% |
Symbol | Acrinova |
Acrinova '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 Acrinova'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 Acrinova.
12/13/2022 |
| 12/02/2024 |
If you would invest 0.00 in Acrinova on December 13, 2022 and sell it all today you would earn a total of 0.00 from holding Acrinova AB Series or generate 0.0% return on investment in Acrinova over 720 days. Acrinova is related to or competes with Acrinova, ALM Equity, and K2A Knaust. Acrinova AB owns, develops, and manages real estate properties in southern Sweden More
Acrinova 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 Acrinova'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 Acrinova AB Series upside and downside potential and time the market with a certain degree of confidence.
Downside Deviation | 1.28 | |||
Information Ratio | (0.11) | |||
Maximum Drawdown | 5.74 | |||
Value At Risk | (2.33) | |||
Potential Upside | 2.61 |
Acrinova Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Acrinova's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Acrinova's standard deviation. In reality, there are many statistical measures that can use Acrinova historical prices to predict the future Acrinova's volatility.Risk Adjusted Performance | 0.0076 | |||
Jensen Alpha | 0.0033 | |||
Total Risk Alpha | (0.21) | |||
Sortino Ratio | (0.10) | |||
Treynor Ratio | 0.069 |
Acrinova AB Series Backtested Returns
Acrinova AB Series secures Sharpe Ratio (or Efficiency) of -0.0085, which signifies that the company had a -0.0085% return per unit of risk over the last 3 months. Acrinova AB Series exposes twenty-eight different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please confirm Acrinova's Mean Deviation of 0.9416, downside deviation of 1.28, and Risk Adjusted Performance of 0.0076 to double-check the risk estimate we provide. The firm shows a Beta (market volatility) of -0.0571, which signifies not very significant fluctuations relative to the market. As returns on the market increase, returns on owning Acrinova are expected to decrease at a much lower rate. During the bear market, Acrinova is likely to outperform the market. At this point, Acrinova AB Series has a negative expected return of -0.0106%. Please make sure to confirm Acrinova's jensen alpha, sortino ratio, maximum drawdown, as well as the relationship between the total risk alpha and treynor ratio , to decide if Acrinova AB Series performance from the past will be repeated at some point in the near future.
Auto-correlation | -0.34 |
Poor reverse predictability
Acrinova AB Series has poor reverse predictability. Overlapping area represents the amount of predictability between Acrinova time series from 13th of December 2022 to 8th of December 2023 and 8th of December 2023 to 2nd 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 Acrinova AB Series price movement. The serial correlation of -0.34 indicates that nearly 34.0% of current Acrinova price fluctuation can be explain by its past prices.
Correlation Coefficient | -0.34 | |
Spearman Rank Test | -0.47 | |
Residual Average | 0.0 | |
Price Variance | 0.89 |
Acrinova AB Series lagged returns against current returns
Autocorrelation, which is Acrinova 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 Acrinova's stock expected returns. We can calculate the autocorrelation of Acrinova returns to help us make a trade decision. For example, suppose you find that Acrinova 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 |
Acrinova 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 Acrinova stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Acrinova stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Acrinova stock over time.
Current vs Lagged Prices |
Timeline |
Acrinova Lagged Returns
When evaluating Acrinova's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Acrinova stock have on its future price. Acrinova 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, Acrinova autocorrelation shows the relationship between Acrinova stock current value and its past values and can show if there is a momentum factor associated with investing in Acrinova AB Series.
Regressed Prices |
Timeline |
Thematic Opportunities
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Other Information on Investing in Acrinova Stock
Acrinova financial ratios help investors to determine whether Acrinova 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 Acrinova with respect to the benefits of owning Acrinova security.