Proximus Plc Stock Market Value
| BGAOF Stock | USD 8.34 0.00 0.00% |
| Symbol | Proximus |
Proximus PLC '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 Proximus PLC'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 Proximus PLC.
| 05/24/2023 |
| 04/18/2024 |
If you would invest 0.00 in Proximus PLC on May 24, 2023 and sell it all today you would earn a total of 0.00 from holding Proximus PLC or generate 0.0% return on investment in Proximus PLC over 330 days. Proximus PLC is related to or competes with Radcom, FingerMotion, KORE Group, Consolidated Communications, Grupo Televisa, Orange SA, and Telefonica Brasil. Proximus PLC provides digital services and communication solutions in Belgium and internationally More
Proximus PLC 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 Proximus PLC'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 Proximus PLC upside and downside potential and time the market with a certain degree of confidence.
Proximus PLC Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Proximus PLC's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Proximus PLC's standard deviation. In reality, there are many statistical measures that can use Proximus PLC historical prices to predict the future Proximus PLC's volatility.Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Proximus PLC'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.
Proximus PLC Backtested Returns
We have found three technical indicators for Proximus PLC, which you can use to evaluate the volatility of the company. The company holds a Beta of 0.0, which implies not very significant fluctuations relative to the market. the returns on MARKET and Proximus PLC are completely uncorrelated.
Auto-correlation | -0.21 |
Weak reverse predictability
Proximus PLC has weak reverse predictability. Overlapping area represents the amount of predictability between Proximus PLC time series from 24th of May 2023 to 5th of November 2023 and 5th of November 2023 to 18th 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 Proximus PLC price movement. The serial correlation of -0.21 indicates that over 21.0% of current Proximus PLC price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.21 | |
| Spearman Rank Test | 0.26 | |
| Residual Average | 0.0 | |
| Price Variance | 0.04 |
Proximus PLC lagged returns against current returns
Autocorrelation, which is Proximus PLC 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 Proximus PLC's pink sheet expected returns. We can calculate the autocorrelation of Proximus PLC returns to help us make a trade decision. For example, suppose you find that Proximus PLC 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 |
Proximus PLC 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 Proximus PLC pink sheet is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Proximus PLC pink sheet is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Proximus PLC pink sheet over time.
Current vs Lagged Prices |
| Timeline |
Proximus PLC Lagged Returns
When evaluating Proximus PLC's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Proximus PLC pink sheet have on its future price. Proximus PLC 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, Proximus PLC autocorrelation shows the relationship between Proximus PLC pink sheet current value and its past values and can show if there is a momentum factor associated with investing in Proximus 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 Proximus PLC 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, Proximus PLC's short interest history, or implied volatility extrapolated from Proximus PLC options trading.
Pair Trading with Proximus PLC
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 Proximus PLC 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 Proximus PLC will appreciate offsetting losses from the drop in the long position's value.The ability to find closely correlated positions to Proximus PLC could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Proximus PLC 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 Proximus PLC - 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 Proximus PLC to buy it.
The correlation of Proximus PLC 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 Proximus PLC moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Proximus PLC 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 Proximus PLC 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 Proximus PLC Correlation, Proximus PLC Volatility and Proximus PLC Alpha and Beta module to complement your research on Proximus PLC. You can also try the Volatility Analysis module to get historical volatility and risk analysis based on latest market data.
Complementary Tools for Proximus Pink Sheet analysis
When running Proximus PLC's price analysis, check to measure Proximus PLC'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 Proximus PLC is operating at the current time. Most of Proximus PLC's value examination focuses on studying past and present price action to predict the probability of Proximus PLC's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Proximus PLC's price. Additionally, you may evaluate how the addition of Proximus PLC to your portfolios can decrease your overall portfolio volatility.
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Proximus PLC 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.