Triple I (Thailand) Market Value
| III Stock | THB 5.75 0.15 2.68% |
| Symbol | Triple |
Triple I '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 Triple I'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 Triple I.
| 10/27/2024 |
| 11/26/2024 |
If you would invest 0.00 in Triple I on October 27, 2024 and sell it all today you would earn a total of 0.00 from holding Triple i Logistics or generate 0.0% return on investment in Triple I over 30 days. Triple I is related to or competes with Tata Steel, Thaifoods Group, TMT Steel, Erawan, Airports, Eastern Technical, and Asian Sea. Triple i Logistics Public Company Limited, together with its subsidiaries, provides domestic and international freight f... More
Triple I 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 Triple I'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 Triple i Logistics upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.08) | |||
| Maximum Drawdown | 10.16 | |||
| Value At Risk | (3.39) | |||
| Potential Upside | 3.6 |
Triple I Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Triple I's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Triple I's standard deviation. In reality, there are many statistical measures that can use Triple I historical prices to predict the future Triple I's volatility.| Risk Adjusted Performance | (0.01) | |||
| Jensen Alpha | (0.07) | |||
| Total Risk Alpha | (0.39) | |||
| Treynor Ratio | (1.02) |
Triple i Logistics Backtested Returns
Triple I is out of control given 3 months investment horizon. Triple i Logistics owns Efficiency Ratio (i.e., Sharpe Ratio) of 0.11, which indicates the firm had a 0.11% return per unit of risk over the last 3 months. We were able to collect and analyze data for twenty-two different technical indicators, which can help you to evaluate if expected returns of 14.15% are justified by taking the suggested risk. Use Triple i Logistics Coefficient Of Variation of (4,388), risk adjusted performance of (0.01), and Variance of 4.51 to evaluate company specific risk that cannot be diversified away. Triple I holds a performance score of 8 on a scale of zero to a hundred. The entity has a beta of 0.0573, which indicates not very significant fluctuations relative to the market. As returns on the market increase, Triple I's returns are expected to increase less than the market. However, during the bear market, the loss of holding Triple I is expected to be smaller as well. Use Triple i Logistics information ratio, total risk alpha, maximum drawdown, as well as the relationship between the jensen alpha and treynor ratio , to analyze future returns on Triple i Logistics.
Auto-correlation | -0.36 |
Poor reverse predictability
Triple i Logistics has poor reverse predictability. Overlapping area represents the amount of predictability between Triple I time series from 27th of October 2024 to 11th of November 2024 and 11th of November 2024 to 26th 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 Triple i Logistics price movement. The serial correlation of -0.36 indicates that just about 36.0% of current Triple I price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.36 | |
| Spearman Rank Test | -0.69 | |
| Residual Average | 0.0 | |
| Price Variance | 0.02 |
Triple i Logistics lagged returns against current returns
Autocorrelation, which is Triple I 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 Triple I's stock expected returns. We can calculate the autocorrelation of Triple I returns to help us make a trade decision. For example, suppose you find that Triple I 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 |
Triple I 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 Triple I stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Triple I stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Triple I stock over time.
Current vs Lagged Prices |
| Timeline |
Triple I Lagged Returns
When evaluating Triple I's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Triple I stock have on its future price. Triple I 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, Triple I autocorrelation shows the relationship between Triple I stock current value and its past values and can show if there is a momentum factor associated with investing in Triple i Logistics.
Regressed Prices |
| Timeline |
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Triple I financial ratios help investors to determine whether Triple 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 Triple with respect to the benefits of owning Triple I security.