Arise Windpower (Sweden) Market Value
| ARISE Stock | SEK 38.00 0.10 0.26% |
| Symbol | Arise |
Arise Windpower '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 Arise Windpower'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 Arise Windpower.
| 03/19/2024 |
| 04/18/2024 |
If you would invest 0.00 in Arise Windpower on March 19, 2024 and sell it all today you would earn a total of 0.00 from holding Arise Windpower AB or generate 0.0% return on investment in Arise Windpower over 30 days. Arise Windpower is related to or competes with Eolus Vind, SolTech Energy, Azelio AB, Garo AB, and NOTE AB. Arise AB , together with its subsidiaries, operates in the onshore wind power sector More
Arise Windpower 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 Arise Windpower'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 Arise Windpower AB upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.08) | |||
| Maximum Drawdown | 13.55 | |||
| Value At Risk | (3.26) | |||
| Potential Upside | 2.63 |
Arise Windpower Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Arise Windpower's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Arise Windpower's standard deviation. In reality, there are many statistical measures that can use Arise Windpower historical prices to predict the future Arise Windpower's volatility.| Risk Adjusted Performance | (0.03) | |||
| Jensen Alpha | (0.15) | |||
| Total Risk Alpha | (0.32) | |||
| Treynor Ratio | (1.74) |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Arise Windpower'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.
Arise Windpower AB Backtested Returns
Arise Windpower AB secures Sharpe Ratio (or Efficiency) of -0.022, which signifies that the company had a -0.022% return per unit of risk over the last 3 months. Arise Windpower AB exposes twenty-four different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please confirm Arise Windpower's Mean Deviation of 1.66, standard deviation of 2.34, and Risk Adjusted Performance of (0.03) to double-check the risk estimate we provide. The firm shows a Beta (market volatility) of 0.0863, which signifies not very significant fluctuations relative to the market. As returns on the market increase, Arise Windpower's returns are expected to increase less than the market. However, during the bear market, the loss of holding Arise Windpower is expected to be smaller as well. Arise Windpower AB has an expected return of -0.0518%. Please make sure to confirm Arise Windpower AB skewness, and the relationship between the treynor ratio and rate of daily change , to decide if Arise Windpower AB performance from the past will be repeated at some point in the near future.
Auto-correlation | 0.31 |
Below average predictability
Arise Windpower AB has below average predictability. Overlapping area represents the amount of predictability between Arise Windpower time series from 19th of March 2024 to 3rd of April 2024 and 3rd of April 2024 to 18th 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 Arise Windpower AB price movement. The serial correlation of 0.31 indicates that nearly 31.0% of current Arise Windpower price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.31 | |
| Spearman Rank Test | 0.48 | |
| Residual Average | 0.0 | |
| Price Variance | 0.22 |
Arise Windpower AB lagged returns against current returns
Autocorrelation, which is Arise Windpower 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 Arise Windpower's stock expected returns. We can calculate the autocorrelation of Arise Windpower returns to help us make a trade decision. For example, suppose you find that Arise Windpower 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 |
Arise Windpower 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 Arise Windpower stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Arise Windpower stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Arise Windpower stock over time.
Current vs Lagged Prices |
| Timeline |
Arise Windpower Lagged Returns
When evaluating Arise Windpower's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Arise Windpower stock have on its future price. Arise Windpower 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, Arise Windpower autocorrelation shows the relationship between Arise Windpower stock current value and its past values and can show if there is a momentum factor associated with investing in Arise Windpower 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 Arise Windpower 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, Arise Windpower's short interest history, or implied volatility extrapolated from Arise Windpower options trading.
Pair Trading with Arise Windpower
One of the main advantages of trading using pair correlations is that every trade hedges away some risk. Because there are two separate transactions required, even if Arise Windpower position performs unexpectedly, the other equity can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in Arise Windpower will appreciate offsetting losses from the drop in the long position's value.The ability to find closely correlated positions to Arise Windpower could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Arise Windpower when you sell it. If you don't do this, your portfolio allocation will be skewed against your target asset allocation. So, investors can't just sell and buy back Arise Windpower - that would be a violation of the tax code under the "wash sale" rule, and this is why you need to find a similar enough asset and use the proceeds from selling Arise Windpower AB to buy it.
The correlation of Arise Windpower is a statistical measure of how it moves in relation to other instruments. This measure is expressed in what is known as the correlation coefficient, which ranges between -1 and +1. A perfect positive correlation (i.e., a correlation coefficient of +1) implies that as Arise Windpower moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Arise Windpower AB moves in either direction, the perfectly negatively correlated security will move in the opposite direction. If the correlation is 0, the equities are not correlated; they are entirely random. A correlation greater than 0.8 is generally described as strong, whereas a correlation less than 0.5 is generally considered weak.
Correlation analysis and pair trading evaluation for Arise Windpower can also be used as hedging techniques within a particular sector or industry or even over random equities to generate a better risk-adjusted return on your portfolios.Check out Arise Windpower Correlation, Arise Windpower Volatility and Arise Windpower Alpha and Beta module to complement your research on Arise Windpower. Note that the Arise Windpower AB information on this page should be used as a complementary analysis to other Arise Windpower's statistical models used to find the right mix of equity instruments to add to your existing portfolios or create a brand new portfolio. You can also try the Equity Search module to search for actively traded equities including funds and ETFs from over 30 global markets.
Complementary Tools for Arise Stock analysis
When running Arise Windpower's price analysis, check to measure Arise Windpower'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 Arise Windpower is operating at the current time. Most of Arise Windpower's value examination focuses on studying past and present price action to predict the probability of Arise Windpower's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Arise Windpower's price. Additionally, you may evaluate how the addition of Arise Windpower to your portfolios can decrease your overall portfolio volatility.
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Arise Windpower 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.