S Pack (Thailand) Market Value
| SPACK Stock | THB 1.80 0.03 1.64% |
| Symbol | SPACK |
S Pack '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 S Pack'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 S Pack.
| 08/02/2023 |
| 11/24/2024 |
If you would invest 0.00 in S Pack on August 2, 2023 and sell it all today you would earn a total of 0.00 from holding S Pack Print or generate 0.0% return on investment in S Pack over 480 days. S Pack is related to or competes with PTT Public, PTT Exploration, CP ALL, and Kasikornbank Public. Pack Print Public Company Limited, together with its subsidiaries, manufactures and sells corrugated and duplex board pa... More
S Pack 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 S Pack'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 S Pack Print upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 1.38 | |||
| Information Ratio | (0.09) | |||
| Maximum Drawdown | 8.14 | |||
| Value At Risk | (2.04) | |||
| Potential Upside | 1.72 |
S Pack Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for S Pack's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as S Pack's standard deviation. In reality, there are many statistical measures that can use S Pack historical prices to predict the future S Pack's volatility.| Risk Adjusted Performance | 0.0098 | |||
| Jensen Alpha | 0.0078 | |||
| Total Risk Alpha | (0.21) | |||
| Sortino Ratio | (0.09) | |||
| Treynor Ratio | 0.0046 |
S Pack Print Backtested Returns
S Pack is out of control given 3 months investment horizon. S Pack Print owns Efficiency Ratio (i.e., Sharpe Ratio) of 0.11, which indicates the company had a 0.11% return per unit of standard deviation over the last 3 months. We have analyzed thirty different technical indicators, which can help you to evaluate if expected returns of 14.05% are justified by taking the suggested risk. Use S Pack Print Risk Adjusted Performance of 0.0098, market risk adjusted performance of 0.0146, and Downside Deviation of 1.38 to evaluate company specific risk that cannot be diversified away. S Pack holds a performance score of 8 on a scale of zero to a hundred. The firm has a beta of -0.0669, which indicates not very significant fluctuations relative to the market. As returns on the market increase, returns on owning S Pack are expected to decrease at a much lower rate. During the bear market, S Pack is likely to outperform the market. Use S Pack Print maximum drawdown, accumulation distribution, relative strength index, as well as the relationship between the semi variance and day typical price , to analyze future returns on S Pack Print.
Auto-correlation | 0.32 |
Below average predictability
S Pack Print has below average predictability. Overlapping area represents the amount of predictability between S Pack time series from 2nd of August 2023 to 29th of March 2024 and 29th of March 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 S Pack Print price movement. The serial correlation of 0.32 indicates that nearly 32.0% of current S Pack price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.32 | |
| Spearman Rank Test | 0.03 | |
| Residual Average | 0.0 | |
| Price Variance | 0.03 |
S Pack Print lagged returns against current returns
Autocorrelation, which is S Pack 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 S Pack's stock expected returns. We can calculate the autocorrelation of S Pack returns to help us make a trade decision. For example, suppose you find that S Pack 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 |
S Pack 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 S Pack stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if S Pack stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in S Pack stock over time.
Current vs Lagged Prices |
| Timeline |
S Pack Lagged Returns
When evaluating S Pack's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of S Pack stock have on its future price. S Pack 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, S Pack autocorrelation shows the relationship between S Pack stock current value and its past values and can show if there is a momentum factor associated with investing in S Pack Print.
Regressed Prices |
| Timeline |
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S Pack financial ratios help investors to determine whether SPACK 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 SPACK with respect to the benefits of owning S Pack security.