FOM Technologies (Denmark) Market Value
| FOM Stock | DKK 9.50 0.24 2.46% |
| Symbol | FOM |
FOM Technologies '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 FOM Technologies' 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 FOM Technologies.
| 10/28/2024 |
| 11/27/2024 |
If you would invest 0.00 in FOM Technologies on October 28, 2024 and sell it all today you would earn a total of 0.00 from holding FOM Technologies AS or generate 0.0% return on investment in FOM Technologies over 30 days. FOM Technologies is related to or competes with CBrain AS, Penneo AS, Shape Robotics, ALK Abell, and ChemoMetec. Fom Technologies AS produces and sells slot die machines and equipment More
FOM Technologies 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 FOM Technologies' 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 FOM Technologies AS upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.12) | |||
| Maximum Drawdown | 38.54 | |||
| Value At Risk | (9.12) | |||
| Potential Upside | 6.43 |
FOM Technologies Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for FOM Technologies' investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as FOM Technologies' standard deviation. In reality, there are many statistical measures that can use FOM Technologies historical prices to predict the future FOM Technologies' volatility.| Risk Adjusted Performance | (0.07) | |||
| Jensen Alpha | (0.72) | |||
| Total Risk Alpha | (1.51) | |||
| Treynor Ratio | (0.55) |
FOM Technologies Backtested Returns
FOM Technologies secures Sharpe Ratio (or Efficiency) of -0.1, which denotes the company had a -0.1% return per unit of risk over the last 3 months. FOM Technologies AS exposes twenty-three different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please confirm FOM Technologies' Mean Deviation of 3.65, standard deviation of 5.88, and Coefficient Of Variation of (1,006) to check the risk estimate we provide. The firm shows a Beta (market volatility) of 1.09, which means a somewhat significant risk relative to the market. FOM Technologies returns are very sensitive to returns on the market. As the market goes up or down, FOM Technologies is expected to follow. At this point, FOM Technologies has a negative expected return of -0.6%. Please make sure to confirm FOM Technologies' total risk alpha, maximum drawdown, potential upside, as well as the relationship between the treynor ratio and value at risk , to decide if FOM Technologies performance from the past will be repeated at future time.
Auto-correlation | 0.23 |
Weak predictability
FOM Technologies AS has weak predictability. Overlapping area represents the amount of predictability between FOM Technologies time series from 28th of October 2024 to 12th of November 2024 and 12th of November 2024 to 27th of November 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 FOM Technologies price movement. The serial correlation of 0.23 indicates that over 23.0% of current FOM Technologies price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.23 | |
| Spearman Rank Test | 0.35 | |
| Residual Average | 0.0 | |
| Price Variance | 0.04 |
FOM Technologies lagged returns against current returns
Autocorrelation, which is FOM Technologies 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 FOM Technologies' stock expected returns. We can calculate the autocorrelation of FOM Technologies returns to help us make a trade decision. For example, suppose you find that FOM Technologies 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 |
FOM Technologies 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 FOM Technologies stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if FOM Technologies stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in FOM Technologies stock over time.
Current vs Lagged Prices |
| Timeline |
FOM Technologies Lagged Returns
When evaluating FOM Technologies' market value, investors can use the concept of autocorrelation to see how much of an impact past prices of FOM Technologies stock have on its future price. FOM Technologies 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, FOM Technologies autocorrelation shows the relationship between FOM Technologies stock current value and its past values and can show if there is a momentum factor associated with investing in FOM Technologies AS.
Regressed Prices |
| Timeline |
Pair Trading with FOM Technologies
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 FOM Technologies 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 FOM Technologies will appreciate offsetting losses from the drop in the long position's value.Moving together with FOM Stock
Moving against FOM Stock
The ability to find closely correlated positions to FOM Technologies could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace FOM Technologies 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 FOM Technologies - 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 FOM Technologies AS to buy it.
The correlation of FOM Technologies 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 FOM Technologies moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if FOM Technologies 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 FOM Technologies 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.Other Information on Investing in FOM Stock
FOM Technologies financial ratios help investors to determine whether FOM Stock is cheap or expensive when compared to a particular measure, such as profits or enterprise value. In other words, they help investors to determine the cost of investment in FOM with respect to the benefits of owning FOM Technologies security.