PMGR Securities (UK) Market Value
PMGZ Fund | 118.00 0.00 0.00% |
Symbol | PMGR |
PMGR Securities '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 PMGR Securities' fund 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 PMGR Securities.
01/09/2023 |
| 12/29/2024 |
If you would invest 0.00 in PMGR Securities on January 9, 2023 and sell it all today you would earn a total of 0.00 from holding PMGR Securities 2025 or generate 0.0% return on investment in PMGR Securities over 720 days.
PMGR Securities 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 PMGR Securities' fund 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 PMGR Securities 2025 upside and downside potential and time the market with a certain degree of confidence.
Information Ratio | (0.06) | |||
Maximum Drawdown | 0.431 | |||
Potential Upside | 0.4255 |
PMGR Securities Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for PMGR Securities' investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as PMGR Securities' standard deviation. In reality, there are many statistical measures that can use PMGR Securities historical prices to predict the future PMGR Securities' volatility.Risk Adjusted Performance | 0.1335 | |||
Jensen Alpha | 0.0157 | |||
Total Risk Alpha | 0.0131 | |||
Treynor Ratio | 1.23 |
PMGR Securities 2025 Backtested Returns
Currently, PMGR Securities 2025 is very steady. PMGR Securities 2025 maintains Sharpe Ratio (i.e., Efficiency) of 0.26, which implies the entity had a 0.26% return per unit of volatility over the last 3 months. We have found seventeen technical indicators for PMGR Securities 2025, which you can use to evaluate the volatility of the fund. Please check PMGR Securities' coefficient of variation of 396.72, and Risk Adjusted Performance of 0.1335 to confirm if the risk estimate we provide is consistent with the expected return of 0.0272%. The fund holds a Beta of 0.013, which implies not very significant fluctuations relative to the market. As returns on the market increase, PMGR Securities' returns are expected to increase less than the market. However, during the bear market, the loss of holding PMGR Securities is expected to be smaller as well.
Auto-correlation | 0.38 |
Below average predictability
PMGR Securities 2025 has below average predictability. Overlapping area represents the amount of predictability between PMGR Securities time series from 9th of January 2023 to 4th of January 2024 and 4th of January 2024 to 29th of December 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 PMGR Securities 2025 price movement. The serial correlation of 0.38 indicates that just about 38.0% of current PMGR Securities price fluctuation can be explain by its past prices.
Correlation Coefficient | 0.38 | |
Spearman Rank Test | 0.53 | |
Residual Average | 0.0 | |
Price Variance | 7.02 |
PMGR Securities 2025 lagged returns against current returns
Autocorrelation, which is PMGR Securities fund'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 PMGR Securities' fund expected returns. We can calculate the autocorrelation of PMGR Securities returns to help us make a trade decision. For example, suppose you find that PMGR Securities has exhibited high autocorrelation historically, and you observe that the fund 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 |
PMGR Securities 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 PMGR Securities fund is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if PMGR Securities fund is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in PMGR Securities fund over time.
Current vs Lagged Prices |
Timeline |
PMGR Securities Lagged Returns
When evaluating PMGR Securities' market value, investors can use the concept of autocorrelation to see how much of an impact past prices of PMGR Securities fund have on its future price. PMGR Securities 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, PMGR Securities autocorrelation shows the relationship between PMGR Securities fund current value and its past values and can show if there is a momentum factor associated with investing in PMGR Securities 2025.
Regressed Prices |
Timeline |
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