Fresnillo Plc Stock Market Value
| FNLPF Stock | USD 7.57 0.10 1.34% |
| Symbol | Fresnillo |
Fresnillo 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 Fresnillo 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 Fresnillo PLC.
| 03/20/2024 |
| 04/19/2024 |
If you would invest 0.00 in Fresnillo PLC on March 20, 2024 and sell it all today you would earn a total of 0.00 from holding Fresnillo PLC or generate 0.0% return on investment in Fresnillo PLC over 30 days. Fresnillo PLC is related to or competes with Dynaresource, and Northern Minerals. Fresnillo plc mines, develops, and produces non-ferrous minerals in Mexico More
Fresnillo 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 Fresnillo 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 Fresnillo PLC upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 2.58 | |||
| Information Ratio | 0.0801 | |||
| Maximum Drawdown | 15.49 | |||
| Value At Risk | (4.39) | |||
| Potential Upside | 4.13 |
Fresnillo PLC Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Fresnillo PLC's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Fresnillo PLC's standard deviation. In reality, there are many statistical measures that can use Fresnillo PLC historical prices to predict the future Fresnillo PLC's volatility.| Risk Adjusted Performance | 0.0721 | |||
| Jensen Alpha | 0.2713 | |||
| Total Risk Alpha | 0.0163 | |||
| Sortino Ratio | 0.0897 | |||
| Treynor Ratio | 0.9094 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Fresnillo 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.
Fresnillo PLC Backtested Returns
Fresnillo PLC appears to be somewhat reliable, given 3 months investment horizon. Fresnillo PLC secures Sharpe Ratio (or Efficiency) of 0.14, which denotes the company had a 0.14% return per unit of risk over the last 3 months. We have found thirty technical indicators for Fresnillo PLC, which you can use to evaluate the volatility of the firm. Please utilize Fresnillo PLC's Downside Deviation of 2.58, mean deviation of 2.24, and Coefficient Of Variation of 962.43 to check if our risk estimates are consistent with your expectations. On a scale of 0 to 100, Fresnillo PLC holds a performance score of 10. The firm shows a Beta (market volatility) of 0.32, which means possible diversification benefits within a given portfolio. As returns on the market increase, Fresnillo PLC's returns are expected to increase less than the market. However, during the bear market, the loss of holding Fresnillo PLC is expected to be smaller as well. Please check Fresnillo PLC's downside variance, day median price, and the relationship between the treynor ratio and kurtosis , to make a quick decision on whether Fresnillo PLC's price patterns will revert.
Auto-correlation | 0.33 |
Below average predictability
Fresnillo PLC has below average predictability. Overlapping area represents the amount of predictability between Fresnillo PLC 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 Fresnillo PLC price movement. The serial correlation of 0.33 indicates that nearly 33.0% of current Fresnillo PLC price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.33 | |
| Spearman Rank Test | 0.43 | |
| Residual Average | 0.0 | |
| Price Variance | 0.07 |
Fresnillo PLC lagged returns against current returns
Autocorrelation, which is Fresnillo 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 Fresnillo PLC's pink sheet expected returns. We can calculate the autocorrelation of Fresnillo PLC returns to help us make a trade decision. For example, suppose you find that Fresnillo 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 |
Fresnillo 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 Fresnillo PLC pink sheet is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Fresnillo 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 Fresnillo PLC pink sheet over time.
Current vs Lagged Prices |
| Timeline |
Fresnillo PLC Lagged Returns
When evaluating Fresnillo PLC's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Fresnillo PLC pink sheet have on its future price. Fresnillo 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, Fresnillo PLC autocorrelation shows the relationship between Fresnillo PLC pink sheet current value and its past values and can show if there is a momentum factor associated with investing in Fresnillo 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 Fresnillo 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, Fresnillo PLC's short interest history, or implied volatility extrapolated from Fresnillo PLC options trading.
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Complementary Tools for Fresnillo Pink Sheet analysis
When running Fresnillo PLC's price analysis, check to measure Fresnillo 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 Fresnillo PLC is operating at the current time. Most of Fresnillo PLC's value examination focuses on studying past and present price action to predict the probability of Fresnillo 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 Fresnillo PLC's price. Additionally, you may evaluate how the addition of Fresnillo PLC to your portfolios can decrease your overall portfolio volatility.
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Fresnillo 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.