MTrack Energy (Thailand) Market Value
| ENGY Etf | THB 4.41 0.06 1.34% |
| Symbol | MTrack |
MTrack Energy '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 MTrack Energy's etf 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 MTrack Energy.
| 06/24/2024 |
| 12/21/2024 |
If you would invest 0.00 in MTrack Energy on June 24, 2024 and sell it all today you would earn a total of 0.00 from holding MTrack Energy ETF or generate 0.0% return on investment in MTrack Energy over 180 days. MTrack Energy is related to or competes with ThaiDex SET50, BCAP MSCI, BCAP SET100, KTAM Gold, WISE KTAM, ThaiDEX SET, and MTrack Energy. The investment seeks to track the price and yield performance, before fees and expense, of the SET Energy and Utility Se... More
MTrack Energy 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 MTrack Energy's etf 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 MTrack Energy ETF upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.19) | |||
| Maximum Drawdown | 5.22 | |||
| Value At Risk | (1.59) | |||
| Potential Upside | 1.41 |
MTrack Energy Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for MTrack Energy's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as MTrack Energy's standard deviation. In reality, there are many statistical measures that can use MTrack Energy historical prices to predict the future MTrack Energy's volatility.| Risk Adjusted Performance | (0.12) | |||
| Jensen Alpha | (0.17) | |||
| Total Risk Alpha | (0.19) | |||
| Treynor Ratio | (0.89) |
MTrack Energy ETF Backtested Returns
MTrack Energy ETF has Sharpe Ratio of -0.18, which conveys that the entity had a -0.18% return per unit of risk over the last 3 months. MTrack Energy exposes twenty-four different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please verify MTrack Energy's Risk Adjusted Performance of (0.12), mean deviation of 0.7151, and Standard Deviation of 0.9672 to check out the risk estimate we provide. The etf secures a Beta (Market Risk) of 0.18, which conveys not very significant fluctuations relative to the market. As returns on the market increase, MTrack Energy's returns are expected to increase less than the market. However, during the bear market, the loss of holding MTrack Energy is expected to be smaller as well.
Auto-correlation | -0.71 |
Almost perfect reverse predictability
MTrack Energy ETF has almost perfect reverse predictability. Overlapping area represents the amount of predictability between MTrack Energy time series from 24th of June 2024 to 22nd of September 2024 and 22nd of September 2024 to 21st 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 MTrack Energy ETF price movement. The serial correlation of -0.71 indicates that around 71.0% of current MTrack Energy price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.71 | |
| Spearman Rank Test | -0.57 | |
| Residual Average | 0.0 | |
| Price Variance | 0.02 |
MTrack Energy ETF lagged returns against current returns
Autocorrelation, which is MTrack Energy etf'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 MTrack Energy's etf expected returns. We can calculate the autocorrelation of MTrack Energy returns to help us make a trade decision. For example, suppose you find that MTrack Energy has exhibited high autocorrelation historically, and you observe that the etf 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 |
MTrack Energy 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 MTrack Energy etf is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if MTrack Energy etf is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in MTrack Energy etf over time.
Current vs Lagged Prices |
| Timeline |
MTrack Energy Lagged Returns
When evaluating MTrack Energy's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of MTrack Energy etf have on its future price. MTrack Energy 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, MTrack Energy autocorrelation shows the relationship between MTrack Energy etf current value and its past values and can show if there is a momentum factor associated with investing in MTrack Energy ETF.
Regressed Prices |
| Timeline |
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MTrack Energy financial ratios help investors to determine whether MTrack Etf 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 MTrack with respect to the benefits of owning MTrack Energy security.