SNC Former (Thailand) Market Value
SNC Stock | THB 5.10 0.10 1.92% |
Symbol | SNC |
SNC Former '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 SNC Former'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 SNC Former.
11/15/2024 |
| 12/15/2024 |
If you would invest 0.00 in SNC Former on November 15, 2024 and sell it all today you would earn a total of 0.00 from holding SNC Former Public or generate 0.0% return on investment in SNC Former over 30 days. SNC Former is related to or competes with Tata Steel, TTCL Public, Thaifoods Group, and TMT Steel. SNC Former Public Company Limited, together with its subsidiaries, primarily manufactures and sells component parts for ... More
SNC Former 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 SNC Former'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 SNC Former Public upside and downside potential and time the market with a certain degree of confidence.
Information Ratio | (0.33) | |||
Maximum Drawdown | 7.8 | |||
Value At Risk | (2.54) | |||
Potential Upside | 1.75 |
SNC Former Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for SNC Former's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as SNC Former's standard deviation. In reality, there are many statistical measures that can use SNC Former historical prices to predict the future SNC Former's volatility.Risk Adjusted Performance | (0.18) | |||
Jensen Alpha | (0.33) | |||
Total Risk Alpha | (0.48) | |||
Treynor Ratio | (2.53) |
SNC Former Public Backtested Returns
SNC Former Public retains Efficiency (Sharpe Ratio) of -0.25, which indicates the firm had a -0.25% return per unit of volatility over the last 3 months. SNC Former exposes twenty-two different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please validate SNC Former's risk adjusted performance of (0.18), and Standard Deviation of 1.25 to confirm the risk estimate we provide. The entity owns a Beta (Systematic Risk) of 0.13, which indicates not very significant fluctuations relative to the market. As returns on the market increase, SNC Former's returns are expected to increase less than the market. However, during the bear market, the loss of holding SNC Former is expected to be smaller as well. At this point, SNC Former Public has a negative expected return of -0.32%. Please make sure to validate SNC Former's jensen alpha, treynor ratio, and the relationship between the information ratio and total risk alpha , to decide if SNC Former Public performance from the past will be repeated at future time.
Auto-correlation | 0.54 |
Modest predictability
SNC Former Public has modest predictability. Overlapping area represents the amount of predictability between SNC Former time series from 15th of November 2024 to 30th of November 2024 and 30th of November 2024 to 15th 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 SNC Former Public price movement. The serial correlation of 0.54 indicates that about 54.0% of current SNC Former price fluctuation can be explain by its past prices.
Correlation Coefficient | 0.54 | |
Spearman Rank Test | 0.12 | |
Residual Average | 0.0 | |
Price Variance | 0.01 |
SNC Former Public lagged returns against current returns
Autocorrelation, which is SNC Former 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 SNC Former's stock expected returns. We can calculate the autocorrelation of SNC Former returns to help us make a trade decision. For example, suppose you find that SNC Former 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 |
SNC Former 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 SNC Former stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if SNC Former stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in SNC Former stock over time.
Current vs Lagged Prices |
Timeline |
SNC Former Lagged Returns
When evaluating SNC Former's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of SNC Former stock have on its future price. SNC Former 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, SNC Former autocorrelation shows the relationship between SNC Former stock current value and its past values and can show if there is a momentum factor associated with investing in SNC Former Public.
Regressed Prices |
Timeline |
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SNC Former financial ratios help investors to determine whether SNC 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 SNC with respect to the benefits of owning SNC Former security.