Krakatau Steel (Indonesia) Market Value
| KRAS Stock | IDR 139.00 1.00 0.71% |
| Symbol | Krakatau |
Krakatau Steel '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 Krakatau Steel'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 Krakatau Steel.
| 02/24/2024 |
| 04/24/2024 |
If you would invest 0.00 in Krakatau Steel on February 24, 2024 and sell it all today you would earn a total of 0.00 from holding Krakatau Steel Persero or generate 0.0% return on investment in Krakatau Steel over 60 days. Krakatau Steel is related to or competes with Timah Persero, Jasa Marga, Semen Indonesia, and Bank Jabar. More
Krakatau Steel 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 Krakatau Steel'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 Krakatau Steel Persero upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 2.13 | |||
| Information Ratio | (0.03) | |||
| Maximum Drawdown | 19.96 | |||
| Value At Risk | (2.74) | |||
| Potential Upside | 4.35 |
Krakatau Steel Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Krakatau Steel's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Krakatau Steel's standard deviation. In reality, there are many statistical measures that can use Krakatau Steel historical prices to predict the future Krakatau Steel's volatility.| Risk Adjusted Performance | 0.0088 | |||
| Jensen Alpha | 0.0313 | |||
| Total Risk Alpha | (0.36) | |||
| Sortino Ratio | (0.04) | |||
| Treynor Ratio | 0.0118 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Krakatau Steel'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.
Krakatau Steel Persero Backtested Returns
We consider Krakatau Steel very steady. Krakatau Steel Persero has Sharpe Ratio of 0.0019, which conveys that the firm had a 0.0019% return per unit of risk over the last 3 months. We have found thirty technical indicators for Krakatau Steel, which you can use to evaluate the volatility of the firm. Please verify Krakatau Steel's Risk Adjusted Performance of 0.0088, downside deviation of 2.13, and Mean Deviation of 1.45 to check out if the risk estimate we provide is consistent with the expected return of 0.005%. The company secures a Beta (Market Risk) of -0.43, which conveys possible diversification benefits within a given portfolio. As returns on the market increase, returns on owning Krakatau Steel are expected to decrease at a much lower rate. During the bear market, Krakatau Steel is likely to outperform the market. Krakatau Steel Persero right now secures a risk of 2.6%. Please verify Krakatau Steel Persero downside deviation, standard deviation, and the relationship between the semi deviation and coefficient of variation , to decide if Krakatau Steel Persero will be following its current price movements.
Auto-correlation | -0.46 |
Modest reverse predictability
Krakatau Steel Persero has modest reverse predictability. Overlapping area represents the amount of predictability between Krakatau Steel time series from 24th of February 2024 to 25th of March 2024 and 25th of March 2024 to 24th 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 Krakatau Steel Persero price movement. The serial correlation of -0.46 indicates that about 46.0% of current Krakatau Steel price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.46 | |
| Spearman Rank Test | -0.61 | |
| Residual Average | 0.0 | |
| Price Variance | 13.69 |
Krakatau Steel Persero lagged returns against current returns
Autocorrelation, which is Krakatau Steel 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 Krakatau Steel's stock expected returns. We can calculate the autocorrelation of Krakatau Steel returns to help us make a trade decision. For example, suppose you find that Krakatau Steel 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 |
Krakatau Steel 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 Krakatau Steel stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Krakatau Steel stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Krakatau Steel stock over time.
Current vs Lagged Prices |
| Timeline |
Krakatau Steel Lagged Returns
When evaluating Krakatau Steel's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Krakatau Steel stock have on its future price. Krakatau Steel 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, Krakatau Steel autocorrelation shows the relationship between Krakatau Steel stock current value and its past values and can show if there is a momentum factor associated with investing in Krakatau Steel Persero.
Regressed Prices |
| Timeline |
Some investors attempt to determine whether the market's mood is bullish or bearish by monitoring changes in market sentiment. Unlike more traditional methods such as technical analysis, investor sentiment usually refers to the aggregate attitude towards Krakatau Steel in the overall investment community. So, suppose investors can accurately measure the market's sentiment. In that case, they can use it for their benefit. For example, some tools to gauge market sentiment could be utilized using contrarian indexes, Krakatau Steel's short interest history, or implied volatility extrapolated from Krakatau Steel options trading.
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When running Krakatau Steel's price analysis, check to measure Krakatau Steel'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 Krakatau Steel is operating at the current time. Most of Krakatau Steel's value examination focuses on studying past and present price action to predict the probability of Krakatau Steel's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Krakatau Steel's price. Additionally, you may evaluate how the addition of Krakatau Steel to your portfolios can decrease your overall portfolio volatility.
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Krakatau Steel 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.