Telkom Indonesia (Indonesia) Market Value
| TLKM Stock | IDR 3,050 50.00 1.61% |
| Symbol | Telkom |
Telkom Indonesia '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 Telkom Indonesia'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 Telkom Indonesia.
| 03/26/2024 |
| 04/25/2024 |
If you would invest 0.00 in Telkom Indonesia on March 26, 2024 and sell it all today you would earn a total of 0.00 from holding Telkom Indonesia Tbk or generate 0.0% return on investment in Telkom Indonesia over 30 days. Telkom Indonesia is related to or competes with Akr Corporindo, Ciputra Development, and Lippo Karawaci. Perusahaan Perseroan PT Telekomunikasi Indonesia Tbk provides telecommunications, informatics, and network services worl... More
Telkom Indonesia 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 Telkom Indonesia'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 Telkom Indonesia Tbk upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.28) | |||
| Maximum Drawdown | 9.35 | |||
| Value At Risk | (3.08) | |||
| Potential Upside | 1.56 |
Telkom Indonesia Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Telkom Indonesia's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Telkom Indonesia's standard deviation. In reality, there are many statistical measures that can use Telkom Indonesia historical prices to predict the future Telkom Indonesia's volatility.| Risk Adjusted Performance | (0.13) | |||
| Jensen Alpha | (0.35) | |||
| Total Risk Alpha | (0.55) | |||
| Treynor Ratio | (2.40) |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Telkom Indonesia'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.
Telkom Indonesia Tbk Backtested Returns
Telkom Indonesia Tbk owns Efficiency Ratio (i.e., Sharpe Ratio) of -0.3, which indicates the firm had a -0.3% return per unit of risk over the last 3 months. Telkom Indonesia Tbk exposes twenty-three different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please validate Telkom Indonesia's Variance of 2.33, coefficient of variation of (460.36), and Risk Adjusted Performance of (0.13) to confirm the risk estimate we provide. The entity has a beta of 0.14, which indicates not very significant fluctuations relative to the market. As returns on the market increase, Telkom Indonesia's returns are expected to increase less than the market. However, during the bear market, the loss of holding Telkom Indonesia is expected to be smaller as well. Telkom Indonesia Tbk has an expected return of -0.5%. Please make sure to validate Telkom Indonesia value at risk, skewness, and the relationship between the maximum drawdown and potential upside , to decide if Telkom Indonesia Tbk performance from the past will be repeated at some point in the near future.
Auto-correlation | 0.54 |
Modest predictability
Telkom Indonesia Tbk has modest predictability. Overlapping area represents the amount of predictability between Telkom Indonesia time series from 26th of March 2024 to 10th of April 2024 and 10th of April 2024 to 25th 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 Telkom Indonesia Tbk price movement. The serial correlation of 0.54 indicates that about 54.0% of current Telkom Indonesia price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.54 | |
| Spearman Rank Test | 0.39 | |
| Residual Average | 0.0 | |
| Price Variance | 4163.27 |
Telkom Indonesia Tbk lagged returns against current returns
Autocorrelation, which is Telkom Indonesia 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 Telkom Indonesia's stock expected returns. We can calculate the autocorrelation of Telkom Indonesia returns to help us make a trade decision. For example, suppose you find that Telkom Indonesia 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 |
Telkom Indonesia 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 Telkom Indonesia stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Telkom Indonesia stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Telkom Indonesia stock over time.
Current vs Lagged Prices |
| Timeline |
Telkom Indonesia Lagged Returns
When evaluating Telkom Indonesia's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Telkom Indonesia stock have on its future price. Telkom Indonesia 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, Telkom Indonesia autocorrelation shows the relationship between Telkom Indonesia stock current value and its past values and can show if there is a momentum factor associated with investing in Telkom Indonesia Tbk.
Regressed Prices |
| Timeline |
Currently Active Assets on Macroaxis
When determining whether Telkom Indonesia Tbk is a good investment, qualitative aspects like company management, corporate governance, and ethical practices play a significant role. A comparison with peer companies also provides context and helps to understand if Telkom Stock is undervalued or overvalued. This multi-faceted approach, blending both quantitative and qualitative analysis, forms a solid foundation for making an informed investment decision about Telkom Indonesia Tbk Stock. Highlighted below are key reports to facilitate an investment decision about Telkom Indonesia Tbk Stock:Check out Telkom Indonesia Correlation, Telkom Indonesia Volatility and Telkom Indonesia Alpha and Beta module to complement your research on Telkom Indonesia. You can also try the Crypto Correlations module to use cryptocurrency correlation module to diversify your cryptocurrency portfolio across multiple coins.
Complementary Tools for Telkom Stock analysis
When running Telkom Indonesia's price analysis, check to measure Telkom Indonesia'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 Telkom Indonesia is operating at the current time. Most of Telkom Indonesia's value examination focuses on studying past and present price action to predict the probability of Telkom Indonesia's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Telkom Indonesia's price. Additionally, you may evaluate how the addition of Telkom Indonesia to your portfolios can decrease your overall portfolio volatility.
| Analyst Advice Analyst recommendations and target price estimates broken down by several categories | |
| Idea Optimizer Use advanced portfolio builder with pre-computed micro ideas to build optimal portfolio | |
| Transaction History View history of all your transactions and understand their impact on performance | |
| Commodity Directory Find actively traded commodities issued by global exchanges | |
| Portfolio Optimization Compute new portfolio that will generate highest expected return given your specified tolerance for risk | |
| Risk-Return Analysis View associations between returns expected from investment and the risk you assume | |
| Portfolio Suggestion Get suggestions outside of your existing asset allocation including your own model portfolios |
Telkom Indonesia technical stock 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, stock market cycles, or different charting patterns.