Arjo AB (Sweden) Market Value
ARJO-B Stock | SEK 45.74 1.66 3.50% |
Symbol | Arjo |
Arjo 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 Arjo 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 Arjo AB.
05/07/2022 |
| 04/26/2024 |
If you would invest 0.00 in Arjo AB on May 7, 2022 and sell it all today you would earn a total of 0.00 from holding Arjo AB or generate 0.0% return on investment in Arjo AB over 720 days. Arjo AB is related to or competes with Getinge AB, Dometic Group, Elekta AB, Essity AB, and Lifco AB. Arjo AB develops and sells medical devices and solutions for patients with reduced mobility and age-related health chall... More
Arjo 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 Arjo 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 Arjo AB upside and downside potential and time the market with a certain degree of confidence.
Downside Deviation | 2.57 | |||
Information Ratio | 0.0205 | |||
Maximum Drawdown | 16.62 | |||
Value At Risk | (2.68) | |||
Potential Upside | 2.81 |
Arjo AB Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Arjo AB's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Arjo AB's standard deviation. In reality, there are many statistical measures that can use Arjo AB historical prices to predict the future Arjo AB's volatility.Risk Adjusted Performance | 0.0432 | |||
Jensen Alpha | 0.1093 | |||
Total Risk Alpha | (0.15) | |||
Sortino Ratio | 0.018 | |||
Treynor Ratio | 0.8318 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Arjo 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.
Arjo AB Backtested Returns
We consider Arjo AB very steady. Arjo AB secures Sharpe Ratio (or Efficiency) of 0.0576, which signifies that the company had a 0.0576% return per unit of risk over the last 3 months. We have found twenty-nine technical indicators for Arjo AB, which you can use to evaluate the volatility of the firm. Please confirm Arjo AB's Risk Adjusted Performance of 0.0432, mean deviation of 1.51, and Downside Deviation of 2.57 to double-check if the risk estimate we provide is consistent with the expected return of 0.13%. Arjo AB has a performance score of 4 on a scale of 0 to 100. The firm shows a Beta (market volatility) of 0.14, which signifies not very significant fluctuations relative to the market. As returns on the market increase, Arjo AB's returns are expected to increase less than the market. However, during the bear market, the loss of holding Arjo AB is expected to be smaller as well. Arjo AB right now shows a risk of 2.25%. Please confirm Arjo AB downside deviation, standard deviation, total risk alpha, as well as the relationship between the coefficient of variation and jensen alpha , to decide if Arjo AB will be following its price patterns.
Auto-correlation | -0.1 |
Very weak reverse predictability
Arjo AB has very weak reverse predictability. Overlapping area represents the amount of predictability between Arjo AB time series from 7th of May 2022 to 2nd of May 2023 and 2nd of May 2023 to 26th 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 Arjo AB price movement. The serial correlation of -0.1 indicates that less than 10.0% of current Arjo AB price fluctuation can be explain by its past prices.
Correlation Coefficient | -0.1 | |
Spearman Rank Test | -0.38 | |
Residual Average | 0.0 | |
Price Variance | 20.15 |
Arjo AB lagged returns against current returns
Autocorrelation, which is Arjo 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 Arjo AB's stock expected returns. We can calculate the autocorrelation of Arjo AB returns to help us make a trade decision. For example, suppose you find that Arjo 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 |
Arjo 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 Arjo AB stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Arjo AB stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Arjo AB stock over time.
Current vs Lagged Prices |
Timeline |
Arjo AB Lagged Returns
When evaluating Arjo AB's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Arjo AB stock have on its future price. Arjo 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, Arjo AB autocorrelation shows the relationship between Arjo AB stock current value and its past values and can show if there is a momentum factor associated with investing in Arjo 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 Arjo 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, Arjo AB's short interest history, or implied volatility extrapolated from Arjo AB options trading.
Pair Trading with Arjo AB
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 Arjo AB 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 Arjo AB will appreciate offsetting losses from the drop in the long position's value.Moving together with Arjo Stock
0.71 | VOLCAR-B | Volvo Car AB | PairCorr |
The ability to find closely correlated positions to Arjo AB could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Arjo AB 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 Arjo AB - 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 Arjo AB to buy it.
The correlation of Arjo AB 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 Arjo AB moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Arjo 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 Arjo AB 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 Arjo AB Correlation, Arjo AB Volatility and Arjo AB Alpha and Beta module to complement your research on Arjo AB. You can also try the Bonds Directory module to find actively traded corporate debentures issued by US companies.
Complementary Tools for Arjo Stock analysis
When running Arjo AB's price analysis, check to measure Arjo 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 Arjo AB is operating at the current time. Most of Arjo AB's value examination focuses on studying past and present price action to predict the probability of Arjo 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 Arjo AB's price. Additionally, you may evaluate how the addition of Arjo AB to your portfolios can decrease your overall portfolio volatility.
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Arjo 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.