SCG PACKAGING (Thailand) Market Value
| SCGP-R Stock | THB 22.36 0.96 4.49% |
| Symbol | SCG |
Please note, there is a significant difference between SCG PACKAGING's value and its price as these two are different measures arrived at by different means. Investors typically determine if SCG PACKAGING is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, SCG PACKAGING's price is the amount at which it trades on the open market and represents the number that a seller and buyer find agreeable to each party.
SCG PACKAGING '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 SCG PACKAGING'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 SCG PACKAGING.
| 06/03/2024 |
| 11/30/2024 |
If you would invest 0.00 in SCG PACKAGING on June 3, 2024 and sell it all today you would earn a total of 0.00 from holding SCG PACKAGING PCL NVDR or generate 0.0% return on investment in SCG PACKAGING over 180 days. SCG PACKAGING is related to or competes with PTT Public, Kasikornbank Public, Siam Cement, and Siam City. More
SCG PACKAGING 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 SCG PACKAGING'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 SCG PACKAGING PCL NVDR upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.18) | |||
| Maximum Drawdown | 38.48 | |||
| Value At Risk | (1.97) |
SCG PACKAGING Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for SCG PACKAGING's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as SCG PACKAGING's standard deviation. In reality, there are many statistical measures that can use SCG PACKAGING historical prices to predict the future SCG PACKAGING's volatility.| Risk Adjusted Performance | (0.10) | |||
| Jensen Alpha | (0.75) | |||
| Total Risk Alpha | (1.51) | |||
| Treynor Ratio | (2.05) |
SCG PACKAGING PCL Backtested Returns
SCG PACKAGING PCL owns Efficiency Ratio (i.e., Sharpe Ratio) of -0.15, which indicates the company had a -0.15% return per unit of volatility over the last 3 months. SCG PACKAGING PCL NVDR exposes twenty-two different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please validate SCG PACKAGING's Risk Adjusted Performance of (0.10), market risk adjusted performance of (2.04), and Standard Deviation of 4.76 to confirm the risk estimate we provide. The firm has a beta of 0.35, which indicates possible diversification benefits within a given portfolio. As returns on the market increase, SCG PACKAGING's returns are expected to increase less than the market. However, during the bear market, the loss of holding SCG PACKAGING is expected to be smaller as well. At this point, SCG PACKAGING PCL has a negative expected return of -0.73%. Please make sure to validate SCG PACKAGING's information ratio, total risk alpha, maximum drawdown, as well as the relationship between the jensen alpha and treynor ratio , to decide if SCG PACKAGING PCL performance from the past will be repeated in the future.
Auto-correlation | -0.58 |
Good reverse predictability
SCG PACKAGING PCL NVDR has good reverse predictability. Overlapping area represents the amount of predictability between SCG PACKAGING time series from 3rd of June 2024 to 1st of September 2024 and 1st of September 2024 to 30th 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 SCG PACKAGING PCL price movement. The serial correlation of -0.58 indicates that roughly 58.0% of current SCG PACKAGING price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.58 | |
| Spearman Rank Test | 0.32 | |
| Residual Average | 0.0 | |
| Price Variance | 27.72 |
SCG PACKAGING PCL lagged returns against current returns
Autocorrelation, which is SCG PACKAGING 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 SCG PACKAGING's stock expected returns. We can calculate the autocorrelation of SCG PACKAGING returns to help us make a trade decision. For example, suppose you find that SCG PACKAGING 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 |
SCG PACKAGING 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 SCG PACKAGING stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if SCG PACKAGING stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in SCG PACKAGING stock over time.
Current vs Lagged Prices |
| Timeline |
SCG PACKAGING Lagged Returns
When evaluating SCG PACKAGING's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of SCG PACKAGING stock have on its future price. SCG PACKAGING 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, SCG PACKAGING autocorrelation shows the relationship between SCG PACKAGING stock current value and its past values and can show if there is a momentum factor associated with investing in SCG PACKAGING PCL NVDR.
Regressed Prices |
| Timeline |
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SCG PACKAGING financial ratios help investors to determine whether SCG 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 SCG with respect to the benefits of owning SCG PACKAGING security.