Arkema Sa Stock Market Value
| ARKAF Stock | USD 102.40 4.60 4.30% |
| Symbol | Arkema |
Arkema SA '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 Arkema SA's pink sheet 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 Arkema SA.
| 03/20/2024 |
| 04/19/2024 |
If you would invest 0.00 in Arkema SA on March 20, 2024 and sell it all today you would earn a total of 0.00 from holding Arkema SA or generate 0.0% return on investment in Arkema SA over 30 days. Arkema SA is related to or competes with Avoca LLC, and AirBoss Of. Arkema S.A. manufactures and sells specialty chemicals and advanced materials worldwide More
Arkema SA 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 Arkema SA's pink sheet 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 Arkema SA upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.24) | |||
| Maximum Drawdown | 2.63 |
Arkema SA Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Arkema SA's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Arkema SA's standard deviation. In reality, there are many statistical measures that can use Arkema SA historical prices to predict the future Arkema SA's volatility.| Risk Adjusted Performance | (0.08) | |||
| Jensen Alpha | (0.1) | |||
| Total Risk Alpha | (0.16) | |||
| Treynor Ratio | 11.2 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Arkema SA'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.
Arkema SA Backtested Returns
Arkema SA secures Sharpe Ratio (or Efficiency) of -0.0868, which signifies that the company had a -0.0868% return per unit of risk over the last 3 months. Arkema SA exposes nineteen different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please confirm Arkema SA's Standard Deviation of 0.6373, mean deviation of 0.2046, and Risk Adjusted Performance of (0.08) to double-check the risk estimate we provide. The firm shows a Beta (market volatility) of -0.0086, which signifies not very significant fluctuations relative to the market. As returns on the market increase, returns on owning Arkema SA are expected to decrease at a much lower rate. During the bear market, Arkema SA is likely to outperform the market. Arkema SA has an expected return of -0.0495%. Please make sure to confirm Arkema SA skewness, and the relationship between the information ratio and rate of daily change , to decide if Arkema SA performance from the past will be repeated at some point in the near future.
Auto-correlation | -0.52 |
Good reverse predictability
Arkema SA has good reverse predictability. Overlapping area represents the amount of predictability between Arkema SA time series from 20th of March 2024 to 4th of April 2024 and 4th of April 2024 to 19th 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 Arkema SA price movement. The serial correlation of -0.52 indicates that about 52.0% of current Arkema SA price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.52 | |
| Spearman Rank Test | 0.1 | |
| Residual Average | 0.0 | |
| Price Variance | 3.15 |
Arkema SA lagged returns against current returns
Autocorrelation, which is Arkema SA pink sheet'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 Arkema SA's pink sheet expected returns. We can calculate the autocorrelation of Arkema SA returns to help us make a trade decision. For example, suppose you find that Arkema SA has exhibited high autocorrelation historically, and you observe that the pink sheet 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 |
Arkema SA 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 Arkema SA pink sheet is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Arkema SA pink sheet is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Arkema SA pink sheet over time.
Current vs Lagged Prices |
| Timeline |
Arkema SA Lagged Returns
When evaluating Arkema SA's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Arkema SA pink sheet have on its future price. Arkema SA 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, Arkema SA autocorrelation shows the relationship between Arkema SA pink sheet current value and its past values and can show if there is a momentum factor associated with investing in Arkema SA.
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 Arkema SA 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, Arkema SA's short interest history, or implied volatility extrapolated from Arkema SA options trading.
Pair Trading with Arkema SA
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 Arkema SA 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 Arkema SA will appreciate offsetting losses from the drop in the long position's value.Moving against Arkema Pink Sheet
| 0.41 | PPERY | Bank Mandiri Persero Earnings Call This Week | PairCorr |
The ability to find closely correlated positions to Arkema SA could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Arkema SA 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 Arkema SA - 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 Arkema SA to buy it.
The correlation of Arkema SA 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 Arkema SA moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Arkema SA 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 Arkema SA 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 Arkema SA Correlation, Arkema SA Volatility and Arkema SA Alpha and Beta module to complement your research on Arkema SA. Note that the Arkema SA information on this page should be used as a complementary analysis to other Arkema SA'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 Commodity Directory module to find actively traded commodities issued by global exchanges.
Complementary Tools for Arkema Pink Sheet analysis
When running Arkema SA's price analysis, check to measure Arkema SA'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 Arkema SA is operating at the current time. Most of Arkema SA's value examination focuses on studying past and present price action to predict the probability of Arkema SA's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Arkema SA's price. Additionally, you may evaluate how the addition of Arkema SA to your portfolios can decrease your overall portfolio volatility.
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Arkema SA technical pink sheet 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, pink sheet market cycles, or different charting patterns.