Procter Gamble (Argentina) Market Value
| PG Stock | ARS 11,092 223.50 2.06% |
| Symbol | Procter |
Procter Gamble '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 Procter Gamble's 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 Procter Gamble.
| 03/17/2024 |
| 04/16/2024 |
If you would invest 0.00 in Procter Gamble on March 17, 2024 and sell it all today you would earn a total of 0.00 from holding Procter Gamble DRC or generate 0.0% return on investment in Procter Gamble over 30 days. Procter Gamble is related to or competes with Harmony Gold, Transportadora, United States, and Compania. The Procter Gamble Company provides branded consumer packaged goods to consumers in North and Latin America, Europe, the... More
Procter Gamble 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 Procter Gamble's 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 Procter Gamble DRC upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 2.18 | |||
| Information Ratio | 0.0764 | |||
| Maximum Drawdown | 10.29 | |||
| Value At Risk | (2.95) | |||
| Potential Upside | 2.09 |
Procter Gamble Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Procter Gamble's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Procter Gamble's standard deviation. In reality, there are many statistical measures that can use Procter Gamble historical prices to predict the future Procter Gamble's volatility.| Risk Adjusted Performance | 0.0257 | |||
| Jensen Alpha | (0.02) | |||
| Total Risk Alpha | 0.3596 | |||
| Sortino Ratio | 0.0697 | |||
| Treynor Ratio | (0.07) |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Procter Gamble'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.
Procter Gamble DRC Backtested Returns
Procter Gamble DRC maintains Sharpe Ratio (i.e., Efficiency) of -0.11, which implies the firm had a -0.11% return per unit of risk over the last month. Procter Gamble DRC exposes twenty-nine different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please check Procter Gamble's Risk Adjusted Performance of 0.0257, coefficient of variation of 3512.43, and Semi Deviation of 2.05 to confirm the risk estimate we provide. The company holds a Beta of -0.64, which implies possible diversification benefits within a given portfolio. As returns on the market increase, returns on owning Procter Gamble are expected to decrease at a much lower rate. During the bear market, Procter Gamble is likely to outperform the market. Procter Gamble DRC has an expected return of -0.19%. Please make sure to check Procter Gamble DRC total risk alpha, treynor ratio, value at risk, as well as the relationship between the sortino ratio and maximum drawdown , to decide if Procter Gamble DRC performance from the past will be repeated at some point in the near future.
Auto-correlation | -0.81 |
Excellent reverse predictability
Procter Gamble DRC has excellent reverse predictability. Overlapping area represents the amount of predictability between Procter Gamble time series from 17th of March 2024 to 1st of April 2024 and 1st of April 2024 to 16th 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 Procter Gamble DRC price movement. The serial correlation of -0.81 indicates that around 81.0% of current Procter Gamble price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.81 | |
| Spearman Rank Test | 0.03 | |
| Residual Average | 0.0 | |
| Price Variance | 11.3 K |
Procter Gamble DRC lagged returns against current returns
Autocorrelation, which is Procter Gamble 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 Procter Gamble's stock expected returns. We can calculate the autocorrelation of Procter Gamble returns to help us make a trade decision. For example, suppose you find that Procter Gamble 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 |
Procter Gamble 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 Procter Gamble stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Procter Gamble stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Procter Gamble stock over time.
Current vs Lagged Prices |
| Timeline |
Procter Gamble Lagged Returns
When evaluating Procter Gamble's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Procter Gamble stock have on its future price. Procter Gamble 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, Procter Gamble autocorrelation shows the relationship between Procter Gamble stock current value and its past values and can show if there is a momentum factor associated with investing in Procter Gamble DRC.
Regressed Prices |
| Timeline |
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Align your risk with return expectations
Check out Procter Gamble Correlation, Procter Gamble Volatility and Procter Gamble Alpha and Beta module to complement your research on Procter Gamble. For information on how to trade Procter Stock refer to our How to Trade Procter Stock guide.Note that the Procter Gamble DRC information on this page should be used as a complementary analysis to other Procter Gamble's statistical models used to find the right mix of equity instruments to add to your existing portfolios or create a brand new portfolio. You can also try the CEOs Directory module to screen CEOs from public companies around the world.
Complementary Tools for Procter Stock analysis
When running Procter Gamble's price analysis, check to measure Procter Gamble'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 Procter Gamble is operating at the current time. Most of Procter Gamble's value examination focuses on studying past and present price action to predict the probability of Procter Gamble's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Procter Gamble's price. Additionally, you may evaluate how the addition of Procter Gamble to your portfolios can decrease your overall portfolio volatility.
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Procter Gamble 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.