CI Group (Thailand) Market Value
CIG Stock | THB 0.05 0.01 25.00% |
Symbol | CIG |
CI Group '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 CI Group'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 CI Group.
05/04/2023 |
| 11/24/2024 |
If you would invest 0.00 in CI Group on May 4, 2023 and sell it all today you would earn a total of 0.00 from holding CI Group Public or generate 0.0% return on investment in CI Group over 570 days. CI Group is related to or competes with Jay Mart, KCE Electronics, Hana Microelectronics, Energy Absolute, and Gulf Energy. Group Public Company Limited manufactures and distributes air conditioning and refrigeration products and parts in Thail... More
CI Group 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 CI Group'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 CI Group Public upside and downside potential and time the market with a certain degree of confidence.
Downside Deviation | 21.81 | |||
Information Ratio | 0.0522 | |||
Maximum Drawdown | 86.67 | |||
Value At Risk | (20.00) | |||
Potential Upside | 25.0 |
CI Group Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for CI Group's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as CI Group's standard deviation. In reality, there are many statistical measures that can use CI Group historical prices to predict the future CI Group's volatility.Risk Adjusted Performance | 0.0567 | |||
Jensen Alpha | 0.7833 | |||
Total Risk Alpha | (1.35) | |||
Sortino Ratio | 0.0334 | |||
Treynor Ratio | 1.57 |
CI Group Public Backtested Returns
CI Group is out of control given 3 months investment horizon. CI Group Public retains Efficiency (Sharpe Ratio) of 0.12, which signifies that the company had a 0.12% return per unit of price deviation over the last 3 months. We were able to analyze and collect data for thirty different technical indicators, which can help you to evaluate if expected returns of 15.65% are justified by taking the suggested risk. Use CI Group Public Standard Deviation of 13.93, market risk adjusted performance of 1.58, and Coefficient Of Variation of 1622.41 to evaluate company specific risk that cannot be diversified away. CI Group holds a performance score of 9 on a scale of zero to a hundred. The firm owns a Beta (Systematic Risk) of 0.54, which signifies possible diversification benefits within a given portfolio. As returns on the market increase, CI Group's returns are expected to increase less than the market. However, during the bear market, the loss of holding CI Group is expected to be smaller as well. Use CI Group Public market risk adjusted performance, semi deviation, coefficient of variation, as well as the relationship between the mean deviation and downside deviation , to analyze future returns on CI Group Public.
Auto-correlation | 0.84 |
Very good predictability
CI Group Public has very good predictability. Overlapping area represents the amount of predictability between CI Group time series from 4th of May 2023 to 13th of February 2024 and 13th of February 2024 to 24th of November 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 CI Group Public price movement. The serial correlation of 0.84 indicates that around 84.0% of current CI Group price fluctuation can be explain by its past prices.
Correlation Coefficient | 0.84 | |
Spearman Rank Test | 0.59 | |
Residual Average | 0.0 | |
Price Variance | 0.0 |
CI Group Public lagged returns against current returns
Autocorrelation, which is CI Group 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 CI Group's stock expected returns. We can calculate the autocorrelation of CI Group returns to help us make a trade decision. For example, suppose you find that CI Group 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 |
CI Group 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 CI Group stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if CI Group stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in CI Group stock over time.
Current vs Lagged Prices |
Timeline |
CI Group Lagged Returns
When evaluating CI Group's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of CI Group stock have on its future price. CI Group 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, CI Group autocorrelation shows the relationship between CI Group stock current value and its past values and can show if there is a momentum factor associated with investing in CI Group Public.
Regressed Prices |
Timeline |
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CI Group financial ratios help investors to determine whether CIG 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 CIG with respect to the benefits of owning CI Group security.