Tenaga Nasional Berhad Stock Market Value
| TNABF Stock | USD 2.53 0.00 0.00% |
| Symbol | Tenaga |
Tenaga Nasional '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 Tenaga Nasional's pink sheet 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 Tenaga Nasional.
| 10/19/2023 |
| 04/16/2024 |
If you would invest 0.00 in Tenaga Nasional on October 19, 2023 and sell it all today you would earn a total of 0.00 from holding Tenaga Nasional Berhad or generate 0.0% return on investment in Tenaga Nasional over 180 days. Tenaga Nasional is related to or competes with PacifiCorp, Microsoft, HP, ATT, Verizon Communications, McDonalds, and Caterpillar. Tenaga Nasional Berhad engages in the generation, transmission, distribution, and sale of electricity in Malaysia and in... More
Tenaga Nasional 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 Tenaga Nasional's pink sheet 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 Tenaga Nasional Berhad upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | 0.0905 | |||
| Maximum Drawdown | 22.76 |
Tenaga Nasional Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Tenaga Nasional's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Tenaga Nasional's standard deviation. In reality, there are many statistical measures that can use Tenaga Nasional historical prices to predict the future Tenaga Nasional's volatility.| Risk Adjusted Performance | 0.0793 | |||
| Jensen Alpha | 0.2822 | |||
| Total Risk Alpha | 0.0698 | |||
| Treynor Ratio | 1.64 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Tenaga Nasional's price to converge to an average value over time is called mean reversion. However, historically, high market prices usually discourage investors that believe in mean reversion to invest, while low prices are viewed as an opportunity to buy.
Tenaga Nasional Berhad Backtested Returns
Tenaga Nasional appears to be relatively risky, given 3 months investment horizon. Tenaga Nasional Berhad owns Efficiency Ratio (i.e., Sharpe Ratio) of 0.12, which indicates the firm had a 0.12% return per unit of risk over the last 3 months. We have found sixteen technical indicators for Tenaga Nasional Berhad, which you can use to evaluate the volatility of the company. Please review Tenaga Nasional's Risk Adjusted Performance of 0.0793, variance of 6.96, and Coefficient Of Variation of 874.81 to confirm if our risk estimates are consistent with your expectations. On a scale of 0 to 100, Tenaga Nasional holds a performance score of 9. The entity has a beta of 0.18, which indicates not very significant fluctuations relative to the market. As returns on the market increase, Tenaga Nasional's returns are expected to increase less than the market. However, during the bear market, the loss of holding Tenaga Nasional is expected to be smaller as well. Please check Tenaga Nasional's treynor ratio, kurtosis, as well as the relationship between the Kurtosis and day typical price , to make a quick decision on whether Tenaga Nasional's existing price patterns will revert.
Auto-correlation | 0.00 |
No correlation between past and present
Tenaga Nasional Berhad has no correlation between past and present. Overlapping area represents the amount of predictability between Tenaga Nasional time series from 19th of October 2023 to 17th of January 2024 and 17th of January 2024 to 16th of April 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 Tenaga Nasional Berhad price movement. The serial correlation of 0.0 indicates that just 0.0% of current Tenaga Nasional price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.0 | |
| Spearman Rank Test | 0.89 | |
| Residual Average | 0.0 | |
| Price Variance | 0.02 |
Tenaga Nasional Berhad lagged returns against current returns
Autocorrelation, which is Tenaga Nasional pink sheet'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 Tenaga Nasional's pink sheet expected returns. We can calculate the autocorrelation of Tenaga Nasional returns to help us make a trade decision. For example, suppose you find that Tenaga Nasional has exhibited high autocorrelation historically, and you observe that the pink sheet 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 |
Tenaga Nasional 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 Tenaga Nasional pink sheet is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Tenaga Nasional pink sheet is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Tenaga Nasional pink sheet over time.
Current vs Lagged Prices |
| Timeline |
Tenaga Nasional Lagged Returns
When evaluating Tenaga Nasional's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Tenaga Nasional pink sheet have on its future price. Tenaga Nasional 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, Tenaga Nasional autocorrelation shows the relationship between Tenaga Nasional pink sheet current value and its past values and can show if there is a momentum factor associated with investing in Tenaga Nasional Berhad.
Regressed Prices |
| Timeline |
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Check out Tenaga Nasional Correlation, Tenaga Nasional Volatility and Tenaga Nasional Alpha and Beta module to complement your research on Tenaga Nasional. Note that the Tenaga Nasional Berhad information on this page should be used as a complementary analysis to other Tenaga Nasional's statistical models used to find the right mix of equity instruments to add to your existing portfolios or create a brand new portfolio. You can also try the Economic Indicators module to top statistical indicators that provide insights into how an economy is performing.
Complementary Tools for Tenaga Pink Sheet analysis
When running Tenaga Nasional's price analysis, check to measure Tenaga Nasional's market volatility, profitability, liquidity, solvency, efficiency, growth potential, financial leverage, and other vital indicators. We have many different tools that can be utilized to determine how healthy Tenaga Nasional is operating at the current time. Most of Tenaga Nasional's value examination focuses on studying past and present price action to predict the probability of Tenaga Nasional's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Tenaga Nasional's price. Additionally, you may evaluate how the addition of Tenaga Nasional to your portfolios can decrease your overall portfolio volatility.
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Tenaga Nasional technical pink sheet analysis exercises models and trading practices based on price and volume transformations, such as the moving averages, relative strength index, regressions, price and return correlations, business cycles, pink sheet market cycles, or different charting patterns.