SICC (China) Market Value
| 688234 Stock | 58.00 1.30 2.29% |
| Symbol | SICC |
SICC '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 SICC'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 SICC.
| 11/20/2024 |
| 12/20/2024 |
If you would invest 0.00 in SICC on November 20, 2024 and sell it all today you would earn a total of 0.00 from holding SICC Co or generate 0.0% return on investment in SICC over 30 days. SICC is related to or competes with HeBei Jinniu, Guizhou Chanhen, Yangmei Chemical, Hubei Xingfa, Harbin Air, Eastern Air, and Shenzhen Noposion. SICC is entity of China. It is traded as Stock on SHG exchange. More
SICC 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 SICC'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 SICC Co upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 3.88 | |||
| Information Ratio | 0.0675 | |||
| Maximum Drawdown | 32.88 | |||
| Value At Risk | (5.83) | |||
| Potential Upside | 8.15 |
SICC Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for SICC's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as SICC's standard deviation. In reality, there are many statistical measures that can use SICC historical prices to predict the future SICC's volatility.| Risk Adjusted Performance | 0.0674 | |||
| Jensen Alpha | 0.3449 | |||
| Total Risk Alpha | 0.207 | |||
| Sortino Ratio | 0.084 | |||
| Treynor Ratio | 1.77 |
SICC Backtested Returns
SICC appears to be very steady, given 3 months investment horizon. SICC retains Efficiency (Sharpe Ratio) of 0.0947, which indicates the firm had a 0.0947% return per unit of volatility over the last 3 months. We have found twenty-nine technical indicators for SICC, which you can use to evaluate the volatility of the company. Please review SICC's downside deviation of 3.88, and Risk Adjusted Performance of 0.0674 to confirm if our risk estimates are consistent with your expectations. On a scale of 0 to 100, SICC holds a performance score of 7. The entity owns a Beta (Systematic Risk) of 0.2, which indicates not very significant fluctuations relative to the market. As returns on the market increase, SICC's returns are expected to increase less than the market. However, during the bear market, the loss of holding SICC is expected to be smaller as well. Please check SICC's mean deviation, downside deviation, standard deviation, as well as the relationship between the semi deviation and coefficient of variation , to make a quick decision on whether SICC's current price history will revert.
Auto-correlation | 0.12 |
Insignificant predictability
SICC Co has insignificant predictability. Overlapping area represents the amount of predictability between SICC time series from 20th of November 2024 to 5th of December 2024 and 5th of December 2024 to 20th 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 SICC price movement. The serial correlation of 0.12 indicates that less than 12.0% of current SICC price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.12 | |
| Spearman Rank Test | 0.45 | |
| Residual Average | 0.0 | |
| Price Variance | 1.44 |
SICC lagged returns against current returns
Autocorrelation, which is SICC 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 SICC's stock expected returns. We can calculate the autocorrelation of SICC returns to help us make a trade decision. For example, suppose you find that SICC 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 |
SICC 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 SICC stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if SICC stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in SICC stock over time.
Current vs Lagged Prices |
| Timeline |
SICC Lagged Returns
When evaluating SICC's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of SICC stock have on its future price. SICC 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, SICC autocorrelation shows the relationship between SICC stock current value and its past values and can show if there is a momentum factor associated with investing in SICC Co.
Regressed Prices |
| Timeline |
Currently Active Assets on Macroaxis
Other Information on Investing in SICC Stock
SICC financial ratios help investors to determine whether SICC 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 SICC with respect to the benefits of owning SICC security.