Bank Net (Indonesia) Market Value
| BANK Stock | IDR 815.00 15.00 1.88% |
| Symbol | Bank |
Bank Net '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 Bank Net'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 Bank Net.
| 12/09/2022 |
| 11/28/2024 |
If you would invest 0.00 in Bank Net on December 9, 2022 and sell it all today you would earn a total of 0.00 from holding Bank Net Indonesia or generate 0.0% return on investment in Bank Net over 720 days. Bank Net is related to or competes with Bank Artos, Bank Yudha, Bk Harda, Bank Rakyat, and Elang Mahkota. PT Bank Net Indonesia Syariah Tbk provides sharia banking products and services for corporate and commercial customers i... More
Bank Net 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 Bank Net'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 Bank Net Indonesia upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.13) | |||
| Maximum Drawdown | 10.93 | |||
| Value At Risk | (3.03) | |||
| Potential Upside | 3.59 |
Bank Net Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Bank Net's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Bank Net's standard deviation. In reality, there are many statistical measures that can use Bank Net historical prices to predict the future Bank Net's volatility.| Risk Adjusted Performance | (0.03) | |||
| Jensen Alpha | (0.06) | |||
| Total Risk Alpha | (0.38) | |||
| Treynor Ratio | 0.2662 |
Bank Net Indonesia Backtested Returns
Bank Net Indonesia secures Sharpe Ratio (or Efficiency) of -0.0591, which signifies that the company had a -0.0591% return per unit of risk over the last 3 months. Bank Net Indonesia exposes twenty-three different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please confirm Bank Net's Mean Deviation of 1.11, standard deviation of 1.76, and Risk Adjusted Performance of (0.03) to double-check the risk estimate we provide. The firm shows a Beta (market volatility) of -0.38, which signifies possible diversification benefits within a given portfolio. As returns on the market increase, returns on owning Bank Net are expected to decrease at a much lower rate. During the bear market, Bank Net is likely to outperform the market. At this point, Bank Net Indonesia has a negative expected return of -0.11%. Please make sure to confirm Bank Net's total risk alpha, maximum drawdown, potential upside, as well as the relationship between the treynor ratio and value at risk , to decide if Bank Net Indonesia performance from the past will be repeated at some point in the near future.
Auto-correlation | 0.72 |
Good predictability
Bank Net Indonesia has good predictability. Overlapping area represents the amount of predictability between Bank Net time series from 9th of December 2022 to 4th of December 2023 and 4th of December 2023 to 28th of November 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 Bank Net Indonesia price movement. The serial correlation of 0.72 indicates that around 72.0% of current Bank Net price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.72 | |
| Spearman Rank Test | 0.79 | |
| Residual Average | 0.0 | |
| Price Variance | 16.9 K |
Bank Net Indonesia lagged returns against current returns
Autocorrelation, which is Bank Net 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 Bank Net's stock expected returns. We can calculate the autocorrelation of Bank Net returns to help us make a trade decision. For example, suppose you find that Bank Net 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 |
Bank Net 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 Bank Net stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Bank Net stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Bank Net stock over time.
Current vs Lagged Prices |
| Timeline |
Bank Net Lagged Returns
When evaluating Bank Net's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Bank Net stock have on its future price. Bank Net 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, Bank Net autocorrelation shows the relationship between Bank Net stock current value and its past values and can show if there is a momentum factor associated with investing in Bank Net Indonesia.
Regressed Prices |
| Timeline |
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Bank Net financial ratios help investors to determine whether Bank Stock 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 Bank with respect to the benefits of owning Bank Net security.