SAIC (China) Market Value
| 600104 Stock | 18.84 0.01 0.05% |
| Symbol | SAIC |
SAIC '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 SAIC'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 SAIC.
| 11/27/2024 |
| 12/27/2024 |
If you would invest 0.00 in SAIC on November 27, 2024 and sell it all today you would earn a total of 0.00 from holding SAIC Motor Corp or generate 0.0% return on investment in SAIC over 30 days. SAIC is related to or competes with New China, Ming Yang, Loctek Ergonomic, Yes Optoelectronics, Hunan Nanling, Guangdong Tianhe, and Shandong Ruifeng. SAIC is entity of China. It is traded as Stock on SHG exchange. More
SAIC 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 SAIC'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 SAIC Motor Corp upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 3.48 | |||
| Information Ratio | 0.1896 | |||
| Maximum Drawdown | 19.97 | |||
| Value At Risk | (5.71) | |||
| Potential Upside | 8.08 |
SAIC Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for SAIC's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as SAIC's standard deviation. In reality, there are many statistical measures that can use SAIC historical prices to predict the future SAIC's volatility.| Risk Adjusted Performance | 0.1694 | |||
| Jensen Alpha | 0.7936 | |||
| Total Risk Alpha | 0.567 | |||
| Sortino Ratio | 0.2115 | |||
| Treynor Ratio | (2.18) |
SAIC Motor Corp Backtested Returns
SAIC appears to be not too volatile, given 3 months investment horizon. SAIC Motor Corp owns Efficiency Ratio (i.e., Sharpe Ratio) of 0.13, which indicates the company had a 0.13% return per unit of volatility over the last 3 months. By analyzing SAIC's technical indicators, you can evaluate if the expected return of 0.5% is justified by implied risk. Please review SAIC's Downside Deviation of 3.48, risk adjusted performance of 0.1694, and Market Risk Adjusted Performance of (2.17) to confirm if our risk estimates are consistent with your expectations. On a scale of 0 to 100, SAIC holds a performance score of 10. The firm has a beta of -0.36, which indicates possible diversification benefits within a given portfolio. As returns on the market increase, returns on owning SAIC are expected to decrease at a much lower rate. During the bear market, SAIC is likely to outperform the market. Please check SAIC's downside deviation, information ratio, and the relationship between the semi deviation and coefficient of variation , to make a quick decision on whether SAIC's existing price patterns will revert.
Auto-correlation | 0.11 |
Insignificant predictability
SAIC Motor Corp has insignificant predictability. Overlapping area represents the amount of predictability between SAIC time series from 27th of November 2024 to 12th of December 2024 and 12th of December 2024 to 27th 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 SAIC Motor Corp price movement. The serial correlation of 0.11 indicates that less than 11.0% of current SAIC price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.11 | |
| Spearman Rank Test | 0.15 | |
| Residual Average | 0.0 | |
| Price Variance | 0.18 |
SAIC Motor Corp lagged returns against current returns
Autocorrelation, which is SAIC 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 SAIC's stock expected returns. We can calculate the autocorrelation of SAIC returns to help us make a trade decision. For example, suppose you find that SAIC 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 |
SAIC 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 SAIC stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if SAIC stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in SAIC stock over time.
Current vs Lagged Prices |
| Timeline |
SAIC Lagged Returns
When evaluating SAIC's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of SAIC stock have on its future price. SAIC 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, SAIC autocorrelation shows the relationship between SAIC stock current value and its past values and can show if there is a momentum factor associated with investing in SAIC Motor Corp.
Regressed Prices |
| Timeline |
Currently Active Assets on Macroaxis
Other Information on Investing in SAIC Stock
SAIC financial ratios help investors to determine whether SAIC Stock is cheap or expensive when compared to a particular measure, such as profits or enterprise value. In other words, they help investors to determine the cost of investment in SAIC with respect to the benefits of owning SAIC security.