FD Technologies (Ireland) Market Value
| GYQ Stock | EUR 14.30 0.50 3.62% |
| Symbol | GYQ |
FD 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 FD 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 FD Technologies.
| 03/25/2024 |
| 04/24/2024 |
If you would invest 0.00 in FD Technologies on March 25, 2024 and sell it all today you would earn a total of 0.00 from holding FD Technologies PLC or generate 0.0% return on investment in FD Technologies over 30 days. FD Technologies is related to or competes with Bank of Ireland, Donegal Investment, Datalex, and Dalata Hotel. More
FD 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 FD 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 FD Technologies PLC upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.03) | |||
| Maximum Drawdown | 17.63 | |||
| Potential Upside | 4.2 |
FD Technologies Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for FD Technologies' investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as FD Technologies' standard deviation. In reality, there are many statistical measures that can use FD Technologies historical prices to predict the future FD Technologies' volatility.| Risk Adjusted Performance | 0.0112 | |||
| Jensen Alpha | (0.02) | |||
| Total Risk Alpha | (0.34) | |||
| Treynor Ratio | 0.0201 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of FD Technologies' 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.
FD Technologies PLC Backtested Returns
We consider FD Technologies not too volatile. FD Technologies PLC retains Efficiency (Sharpe Ratio) of 0.0186, which denotes the company had a 0.0186% return per unit of price deviation over the last 3 months. We have found twenty-two technical indicators for FD Technologies, which you can use to evaluate the volatility of the firm. Please confirm FD Technologies' Standard Deviation of 2.66, information ratio of (0.03), and Market Risk Adjusted Performance of 0.0301 to check if the risk estimate we provide is consistent with the expected return of 0.0516%. FD Technologies has a performance score of 1 on a scale of 0 to 100. The firm owns a Beta (Systematic Risk) of 0.26, which means not very significant fluctuations relative to the market. As returns on the market increase, FD Technologies' returns are expected to increase less than the market. However, during the bear market, the loss of holding FD Technologies is expected to be smaller as well. FD Technologies PLC today owns a risk of 2.77%. Please confirm FD Technologies PLC mean deviation, jensen alpha, skewness, as well as the relationship between the standard deviation and treynor ratio , to decide if FD Technologies PLC will be following its current price history.
Auto-correlation | -0.72 |
Almost perfect reverse predictability
FD Technologies PLC has almost perfect reverse predictability. Overlapping area represents the amount of predictability between FD Technologies time series from 25th of March 2024 to 9th of April 2024 and 9th of April 2024 to 24th 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 FD Technologies PLC price movement. The serial correlation of -0.72 indicates that around 72.0% of current FD Technologies price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.72 | |
| Spearman Rank Test | 0.03 | |
| Residual Average | 0.0 | |
| Price Variance | 0.19 |
FD Technologies PLC lagged returns against current returns
Autocorrelation, which is FD 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 FD Technologies' stock expected returns. We can calculate the autocorrelation of FD Technologies returns to help us make a trade decision. For example, suppose you find that FD 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 |
FD 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 FD Technologies stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if FD Technologies stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in FD Technologies stock over time.
Current vs Lagged Prices |
| Timeline |
FD Technologies Lagged Returns
When evaluating FD Technologies' market value, investors can use the concept of autocorrelation to see how much of an impact past prices of FD Technologies stock have on its future price. FD 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, FD Technologies autocorrelation shows the relationship between FD Technologies stock current value and its past values and can show if there is a momentum factor associated with investing in FD Technologies PLC.
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 FD Technologies 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, FD Technologies' short interest history, or implied volatility extrapolated from FD Technologies options trading.
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Try AI Portfolio ArchitectCheck out FD Technologies Correlation, FD Technologies Volatility and FD Technologies Alpha and Beta module to complement your research on FD Technologies. You can also try the Price Exposure Probability module to analyze equity upside and downside potential for a given time horizon across multiple markets.
Complementary Tools for GYQ Stock analysis
When running FD Technologies' price analysis, check to measure FD Technologies' 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 FD Technologies is operating at the current time. Most of FD Technologies' value examination focuses on studying past and present price action to predict the probability of FD Technologies' future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move FD Technologies' price. Additionally, you may evaluate how the addition of FD Technologies to your portfolios can decrease your overall portfolio volatility.
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FD Technologies 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.