PPC (South Africa) Market Value
| PPC Stock | 649.00 13.00 2.04% |
| Symbol | PPC |
PPC '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 PPC'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 PPC.
| 11/29/2025 |
| 02/27/2026 |
If you would invest 0.00 in PPC on November 29, 2025 and sell it all today you would earn a total of 0.00 from holding PPC or generate 0.0% return on investment in PPC over 90 days.
PPC 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 PPC'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 PPC upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 1.87 | |||
| Information Ratio | 0.1057 | |||
| Maximum Drawdown | 8.15 | |||
| Value At Risk | (3.31) | |||
| Potential Upside | 2.7 |
PPC Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for PPC's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as PPC's standard deviation. In reality, there are many statistical measures that can use PPC historical prices to predict the future PPC's volatility.| Risk Adjusted Performance | 0.1408 | |||
| Jensen Alpha | 0.2283 | |||
| Total Risk Alpha | 0.0414 | |||
| Sortino Ratio | 0.0958 | |||
| Treynor Ratio | 0.5165 |
PPC February 27, 2026 Technical Indicators
| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
| Risk Adjusted Performance | 0.1408 | |||
| Market Risk Adjusted Performance | 0.5265 | |||
| Mean Deviation | 1.24 | |||
| Semi Deviation | 1.52 | |||
| Downside Deviation | 1.87 | |||
| Coefficient Of Variation | 562.97 | |||
| Standard Deviation | 1.7 | |||
| Variance | 2.88 | |||
| Information Ratio | 0.1057 | |||
| Jensen Alpha | 0.2283 | |||
| Total Risk Alpha | 0.0414 | |||
| Sortino Ratio | 0.0958 | |||
| Treynor Ratio | 0.5165 | |||
| Maximum Drawdown | 8.15 | |||
| Value At Risk | (3.31) | |||
| Potential Upside | 2.7 | |||
| Downside Variance | 3.51 | |||
| Semi Variance | 2.3 | |||
| Expected Short fall | (1.36) | |||
| Skewness | (0.39) | |||
| Kurtosis | 1.12 |
PPC Backtested Returns
PPC appears to be very steady, given 3 months investment horizon. PPC retains Efficiency (Sharpe Ratio) of 0.24, which implies the firm had a 0.24 % return per unit of risk over the last 3 months. We have found thirty technical indicators for PPC, which you can use to evaluate the volatility of the company. Please evaluate PPC's market risk adjusted performance of 0.5265, and Semi Deviation of 1.52 to confirm if our risk estimates are consistent with your expectations. On a scale of 0 to 100, PPC holds a performance score of 18. The company owns a Beta (Systematic Risk) of 0.56, which implies possible diversification benefits within a given portfolio. As returns on the market increase, PPC's returns are expected to increase less than the market. However, during the bear market, the loss of holding PPC is expected to be smaller as well. Please check PPC's total risk alpha, value at risk, and the relationship between the standard deviation and treynor ratio , to make a quick decision on whether PPC's current price history will revert.
Auto-correlation | 0.49 |
Average predictability
PPC has average predictability. Overlapping area represents the amount of predictability between PPC time series from 29th of November 2025 to 13th of January 2026 and 13th of January 2026 to 27th of February 2026. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of PPC price movement. The serial correlation of 0.49 indicates that about 49.0% of current PPC price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.49 | |
| Spearman Rank Test | 0.7 | |
| Residual Average | 0.0 | |
| Price Variance | 617.61 |