Pt Kalbe Farma Stock Market Value
| PTKFF Stock | USD 0.09 0.00 0.00% |
| Symbol | PTKFF |
PT Kalbe '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 PT Kalbe'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 PT Kalbe.
| 05/05/2022 |
| 04/24/2024 |
If you would invest 0.00 in PT Kalbe on May 5, 2022 and sell it all today you would earn a total of 0.00 from holding PT Kalbe Farma or generate 0.0% return on investment in PT Kalbe over 720 days. PT Kalbe is related to or competes with Eli Lilly, Johnson Johnson, Merck, Roche Holding, AstraZeneca PLC, and Novartis. PT Kalbe Farma Tbk., together with its subsidiaries, develops, manufactures, and trades in pharmaceutical products in In... More
PT Kalbe 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 PT Kalbe'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 PT Kalbe Farma upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.21) | |||
| Maximum Drawdown | 9.18 |
PT Kalbe Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for PT Kalbe's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as PT Kalbe's standard deviation. In reality, there are many statistical measures that can use PT Kalbe historical prices to predict the future PT Kalbe's volatility.| Risk Adjusted Performance | (0.08) | |||
| Jensen Alpha | (0.17) | |||
| Total Risk Alpha | (0.31) | |||
| Treynor Ratio | (2.48) |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of PT Kalbe'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.
PT Kalbe Farma Backtested Returns
PT Kalbe Farma retains Efficiency (Sharpe Ratio) of -0.13, which implies the firm had a -0.13% return per unit of price deviation over the last 3 months. PT Kalbe exposes sixteen different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please check PT Kalbe's market risk adjusted performance of (2.47), and Information Ratio of (0.21) to confirm the risk estimate we provide. The company owns a Beta (Systematic Risk) of 0.0656, which implies not very significant fluctuations relative to the market. As returns on the market increase, PT Kalbe's returns are expected to increase less than the market. However, during the bear market, the loss of holding PT Kalbe is expected to be smaller as well. PT Kalbe Farma has an expected return of -0.15%. Please make sure to check PT Kalbe Farma standard deviation, as well as the relationship between the maximum drawdown and day median price , to decide if PT Kalbe Farma performance from the past will be repeated at some future date.
Auto-correlation | -0.83 |
Excellent reverse predictability
PT Kalbe Farma has excellent reverse predictability. Overlapping area represents the amount of predictability between PT Kalbe time series from 5th of May 2022 to 30th of April 2023 and 30th of April 2023 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 PT Kalbe Farma price movement. The serial correlation of -0.83 indicates that around 83.0% of current PT Kalbe price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.83 | |
| Spearman Rank Test | -0.78 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
PT Kalbe Farma lagged returns against current returns
Autocorrelation, which is PT Kalbe 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 PT Kalbe's pink sheet expected returns. We can calculate the autocorrelation of PT Kalbe returns to help us make a trade decision. For example, suppose you find that PT Kalbe 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 |
PT Kalbe 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 PT Kalbe pink sheet is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if PT Kalbe pink sheet is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in PT Kalbe pink sheet over time.
Current vs Lagged Prices |
| Timeline |
PT Kalbe Lagged Returns
When evaluating PT Kalbe's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of PT Kalbe pink sheet have on its future price. PT Kalbe 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, PT Kalbe autocorrelation shows the relationship between PT Kalbe pink sheet current value and its past values and can show if there is a momentum factor associated with investing in PT Kalbe Farma.
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 PT Kalbe 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, PT Kalbe's short interest history, or implied volatility extrapolated from PT Kalbe options trading.
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Check out PT Kalbe Correlation, PT Kalbe Volatility and PT Kalbe Alpha and Beta module to complement your research on PT Kalbe. Note that the PT Kalbe Farma information on this page should be used as a complementary analysis to other PT Kalbe'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 Latest Portfolios module to quick portfolio dashboard that showcases your latest portfolios.
Complementary Tools for PTKFF Pink Sheet analysis
When running PT Kalbe's price analysis, check to measure PT Kalbe'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 PT Kalbe is operating at the current time. Most of PT Kalbe's value examination focuses on studying past and present price action to predict the probability of PT Kalbe's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move PT Kalbe's price. Additionally, you may evaluate how the addition of PT Kalbe to your portfolios can decrease your overall portfolio volatility.
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PT Kalbe 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.