IPC MEXICO (Mexico) Market Value
| MXX Index | 55,863 51.77 0.09% |
| Symbol | IPC |
IPC MEXICO '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 IPC MEXICO's index 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 IPC MEXICO.
| 03/20/2024 |
| 04/19/2024 |
If you would invest 0.00 in IPC MEXICO on March 20, 2024 and sell it all today you would earn a total of 0.00 from holding IPC MEXICO or generate 0.0% return on investment in IPC MEXICO over 30 days.
IPC MEXICO 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 IPC MEXICO's index 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 IPC MEXICO upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.7161 | |||
| Information Ratio | (0.05) | |||
| Maximum Drawdown | 3.55 | |||
| Value At Risk | (1.36) | |||
| Potential Upside | 1.34 |
IPC MEXICO Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for IPC MEXICO's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as IPC MEXICO's standard deviation. In reality, there are many statistical measures that can use IPC MEXICO historical prices to predict the future IPC MEXICO's volatility.| Risk Adjusted Performance | 0.0276 | |||
| Total Risk Alpha | (0.05) | |||
| Sortino Ratio | (0.05) |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of IPC MEXICO'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.
Please note, it is not enough to conduct a financial or market analysis of a single entity such as IPC MEXICO. Your research has to be compared to or analyzed against IPC MEXICO's peers to derive any actionable benefits. When done correctly, IPC MEXICO's competitive analysis will give you plenty of quantitative and qualitative data to validate your investment decisions or develop an entirely new strategy toward taking a position in IPC MEXICO.
IPC MEXICO Backtested Returns
IPC MEXICO retains Efficiency (Sharpe Ratio) of 0.0177, which attests that the entity had a 0.0177% return per unit of return volatility over the last 3 months. We have found twenty-five technical indicators for IPC MEXICO, which you can use to evaluate the volatility of the entity. The index owns a Beta (Systematic Risk) of 0.0, which attests to not very significant fluctuations relative to the market. the returns on MARKET and IPC MEXICO are completely uncorrelated.
Auto-correlation | -0.94 |
Near perfect reversele predictability
IPC MEXICO has near perfect reversele predictability. Overlapping area represents the amount of predictability between IPC MEXICO 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 IPC MEXICO price movement. The serial correlation of -0.94 indicates that approximately 94.0% of current IPC MEXICO price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.94 | |
| Spearman Rank Test | -0.89 | |
| Residual Average | 0.0 | |
| Price Variance | 807.1 K |
IPC MEXICO lagged returns against current returns
Autocorrelation, which is IPC MEXICO index'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 IPC MEXICO's index expected returns. We can calculate the autocorrelation of IPC MEXICO returns to help us make a trade decision. For example, suppose you find that IPC MEXICO has exhibited high autocorrelation historically, and you observe that the index 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 |
IPC MEXICO 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 IPC MEXICO index is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if IPC MEXICO index is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in IPC MEXICO index over time.
Current vs Lagged Prices |
| Timeline |
IPC MEXICO Lagged Returns
When evaluating IPC MEXICO's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of IPC MEXICO index have on its future price. IPC MEXICO 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, IPC MEXICO autocorrelation shows the relationship between IPC MEXICO index current value and its past values and can show if there is a momentum factor associated with investing in IPC MEXICO.
Regressed Prices |
| Timeline |
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IPC MEXICO technical index 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, index market cycles, or different charting patterns.