Ams Ag Stock Market Value
AUKUF Stock | USD 1.05 0.05 4.55% |
Symbol | Ams |
Ams AG '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 Ams AG'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 Ams AG.
02/19/2024 |
| 04/19/2024 |
If you would invest 0.00 in Ams AG on February 19, 2024 and sell it all today you would earn a total of 0.00 from holding ams AG or generate 0.0% return on investment in Ams AG over 60 days. Ams AG is related to or competes with Asm Pacific, HUMANA, Barloworld, Thrivent High, Morningstar Unconstrained, and High Yield. ams-OSRAM AG designs, manufactures, and sells LED and optical sensor solutions in Europe, the Middle East, Africa, the A... More
Ams AG 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 Ams AG'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 ams AG upside and downside potential and time the market with a certain degree of confidence.
Information Ratio | (0.22) | |||
Maximum Drawdown | 46.58 | |||
Value At Risk | (12.34) | |||
Potential Upside | 0.6667 |
Ams AG Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Ams AG's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Ams AG's standard deviation. In reality, there are many statistical measures that can use Ams AG historical prices to predict the future Ams AG's volatility.Risk Adjusted Performance | (0.12) | |||
Jensen Alpha | (1.05) | |||
Total Risk Alpha | (1.67) | |||
Treynor Ratio | 0.7466 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Ams AG'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.
ams AG Backtested Returns
ams AG secures Sharpe Ratio (or Efficiency) of -0.21, which signifies that the company had a -0.21% return per unit of risk over the last 3 months. ams AG exposes twenty-one different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please confirm Ams AG's Coefficient Of Variation of (487.79), risk adjusted performance of (0.12), and Standard Deviation of 5.53 to double-check the risk estimate we provide. The firm shows a Beta (market volatility) of -1.53, which signifies a somewhat significant risk relative to the market. As returns on the market increase, returns on owning Ams AG are expected to decrease by larger amounts. On the other hand, during market turmoil, Ams AG is expected to outperform it. ams AG has an expected return of -1.21%. Please make sure to confirm ams AG information ratio, skewness, as well as the relationship between the Skewness and day typical price , to decide if ams AG performance from the past will be repeated at some point in the near future.
Auto-correlation | 0.78 |
Good predictability
ams AG has good predictability. Overlapping area represents the amount of predictability between Ams AG time series from 19th of February 2024 to 20th of March 2024 and 20th of March 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 ams AG price movement. The serial correlation of 0.78 indicates that around 78.0% of current Ams AG price fluctuation can be explain by its past prices.
Correlation Coefficient | 0.78 | |
Spearman Rank Test | 0.7 | |
Residual Average | 0.0 | |
Price Variance | 0.0 |
ams AG lagged returns against current returns
Autocorrelation, which is Ams AG 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 Ams AG's pink sheet expected returns. We can calculate the autocorrelation of Ams AG returns to help us make a trade decision. For example, suppose you find that Ams AG 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 |
Ams AG 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 Ams AG pink sheet is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Ams AG pink sheet is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Ams AG pink sheet over time.
Current vs Lagged Prices |
Timeline |
Ams AG Lagged Returns
When evaluating Ams AG's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Ams AG pink sheet have on its future price. Ams AG 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, Ams AG autocorrelation shows the relationship between Ams AG pink sheet current value and its past values and can show if there is a momentum factor associated with investing in ams AG.
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 Ams AG 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, Ams AG's short interest history, or implied volatility extrapolated from Ams AG options trading.
Pair Trading with Ams AG
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 Ams AG 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 Ams AG will appreciate offsetting losses from the drop in the long position's value.Moving against Ams Pink Sheet
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0.85 | MU | Micron Technology Financial Report 26th of June 2024 | PairCorr |
0.84 | TSM | Taiwan Semiconductor Financial Report 18th of July 2024 | PairCorr |
0.69 | AVGO | Broadcom Financial Report 6th of June 2024 | PairCorr |
The ability to find closely correlated positions to Ams AG could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Ams AG 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 Ams AG - 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 ams AG to buy it.
The correlation of Ams AG 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 Ams AG moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if ams AG 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 Ams AG 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 Ams AG Correlation, Ams AG Volatility and Ams AG Alpha and Beta module to complement your research on Ams AG. You can also try the Insider Screener module to find insiders across different sectors to evaluate their impact on performance.
Complementary Tools for Ams Pink Sheet analysis
When running Ams AG's price analysis, check to measure Ams AG'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 Ams AG is operating at the current time. Most of Ams AG's value examination focuses on studying past and present price action to predict the probability of Ams AG's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Ams AG's price. Additionally, you may evaluate how the addition of Ams AG to your portfolios can decrease your overall portfolio volatility.
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Ams AG 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.