Camurus AB (Sweden) Market Value
| CAMX Stock | SEK 494.40 3.80 0.76% |
| Symbol | Camurus |
Camurus 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 Camurus 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 Camurus AB.
| 04/03/2024 |
| 05/03/2024 |
If you would invest 0.00 in Camurus AB on April 3, 2024 and sell it all today you would earn a total of 0.00 from holding Camurus AB or generate 0.0% return on investment in Camurus AB over 30 days. Camurus AB is related to or competes with Hansa Biopharma, BioArctic, Calliditas Therapeutics, Sinch AB, and Cantargia. Camurus AB , a pharmaceutical company, develops and commercializes pharmaceuticals for serious and chronic conditions in... More
Camurus 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 Camurus 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 Camurus AB upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.04) | |||
| Maximum Drawdown | 21.38 | |||
| Value At Risk | (3.78) | |||
| Potential Upside | 2.81 |
Camurus AB Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Camurus AB's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Camurus AB's standard deviation. In reality, there are many statistical measures that can use Camurus AB historical prices to predict the future Camurus AB's volatility.| Risk Adjusted Performance | (0) | |||
| Jensen Alpha | (0.06) | |||
| Total Risk Alpha | (0.26) | |||
| Treynor Ratio | (1.31) |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Camurus 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.
Camurus AB Backtested Returns
Camurus AB secures Sharpe Ratio (or Efficiency) of -0.0227, which signifies that the company had a -0.0227% return per unit of risk over the last 3 months. Camurus AB exposes twenty-four different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please confirm Camurus AB's Standard Deviation of 2.9, mean deviation of 1.76, and Risk Adjusted Performance of (0) to double-check the risk estimate we provide. The firm shows a Beta (market volatility) of 0.0429, which signifies not very significant fluctuations relative to the market. As returns on the market increase, Camurus AB's returns are expected to increase less than the market. However, during the bear market, the loss of holding Camurus AB is expected to be smaller as well. Camurus AB has an expected return of -0.0658%. Please make sure to confirm Camurus AB jensen alpha, treynor ratio, value at risk, as well as the relationship between the total risk alpha and maximum drawdown , to decide if Camurus AB performance from the past will be repeated at some point in the near future.
Auto-correlation | -0.51 |
Good reverse predictability
Camurus AB has good reverse predictability. Overlapping area represents the amount of predictability between Camurus AB time series from 3rd of April 2024 to 18th of April 2024 and 18th of April 2024 to 3rd of May 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 Camurus AB price movement. The serial correlation of -0.51 indicates that about 51.0% of current Camurus AB price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.51 | |
| Spearman Rank Test | -0.18 | |
| Residual Average | 0.0 | |
| Price Variance | 75.67 |
Camurus AB lagged returns against current returns
Autocorrelation, which is Camurus 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 Camurus AB's stock expected returns. We can calculate the autocorrelation of Camurus AB returns to help us make a trade decision. For example, suppose you find that Camurus 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 |
Camurus 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 Camurus AB stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Camurus AB stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Camurus AB stock over time.
Current vs Lagged Prices |
| Timeline |
Camurus AB Lagged Returns
When evaluating Camurus AB's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Camurus AB stock have on its future price. Camurus 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, Camurus AB autocorrelation shows the relationship between Camurus AB stock current value and its past values and can show if there is a momentum factor associated with investing in Camurus 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 Camurus 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, Camurus AB's short interest history, or implied volatility extrapolated from Camurus AB options trading.
Pair Trading with Camurus 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 Camurus 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 Camurus AB will appreciate offsetting losses from the drop in the long position's value.The ability to find closely correlated positions to Camurus 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 Camurus 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 Camurus 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 Camurus AB to buy it.
The correlation of Camurus 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 Camurus AB moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Camurus 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 Camurus 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 Camurus AB Correlation, Camurus AB Volatility and Camurus AB Alpha and Beta module to complement your research on Camurus AB. You can also try the Funds Screener module to find actively-traded funds from around the world traded on over 30 global exchanges.
Complementary Tools for Camurus Stock analysis
When running Camurus AB's price analysis, check to measure Camurus 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 Camurus AB is operating at the current time. Most of Camurus AB's value examination focuses on studying past and present price action to predict the probability of Camurus 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 Camurus AB's price. Additionally, you may evaluate how the addition of Camurus AB to your portfolios can decrease your overall portfolio volatility.
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Camurus 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.