Bank Dinar (Indonesia) Market Value
| DNAR Stock | IDR 109.00 4.00 3.54% |
| Symbol | Bank |
Bank Dinar '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 Dinar'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 Dinar.
| 11/26/2024 |
| 12/26/2024 |
If you would invest 0.00 in Bank Dinar on November 26, 2024 and sell it all today you would earn a total of 0.00 from holding Bank Dinar Indonesia or generate 0.0% return on investment in Bank Dinar over 30 days. Bank Dinar is related to or competes with Maskapai Reasuransi, Panin Sekuritas, Wahana Ottomitra, and Lenox Pasifik. PT Bank Dinar Indonesia Tbk provides various banking products and services in Indonesia More
Bank Dinar 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 Dinar'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 Dinar Indonesia upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 5.74 | |||
| Information Ratio | 0.0751 | |||
| Maximum Drawdown | 53.35 | |||
| Value At Risk | (8.28) | |||
| Potential Upside | 15.45 |
Bank Dinar Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Bank Dinar's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Bank Dinar's standard deviation. In reality, there are many statistical measures that can use Bank Dinar historical prices to predict the future Bank Dinar's volatility.| Risk Adjusted Performance | 0.0734 | |||
| Jensen Alpha | 0.586 | |||
| Total Risk Alpha | 0.3015 | |||
| Sortino Ratio | 0.1102 | |||
| Treynor Ratio | 0.2852 |
Bank Dinar Indonesia Backtested Returns
Bank Dinar appears to be very steady, given 3 months investment horizon. Bank Dinar Indonesia secures Sharpe Ratio (or Efficiency) of 0.0845, which signifies that the company had a 0.0845% return per unit of risk over the last 3 months. By analyzing Bank Dinar's technical indicators, you can evaluate if the expected return of 0.73% is justified by implied risk. Please makes use of Bank Dinar's Mean Deviation of 5.25, downside deviation of 5.74, and Risk Adjusted Performance of 0.0734 to double-check if our risk estimates are consistent with your expectations. On a scale of 0 to 100, Bank Dinar holds a performance score of 6. The firm shows a Beta (market volatility) of 2.34, which signifies a somewhat significant risk relative to the market. As the market goes up, the company is expected to outperform it. However, if the market returns are negative, Bank Dinar will likely underperform. Please check Bank Dinar's standard deviation, total risk alpha, treynor ratio, as well as the relationship between the jensen alpha and sortino ratio , to make a quick decision on whether Bank Dinar's price patterns will revert.
Auto-correlation | 0.62 |
Good predictability
Bank Dinar Indonesia has good predictability. Overlapping area represents the amount of predictability between Bank Dinar time series from 26th of November 2024 to 11th of December 2024 and 11th of December 2024 to 26th of December 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 Dinar Indonesia price movement. The serial correlation of 0.62 indicates that roughly 62.0% of current Bank Dinar price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.62 | |
| Spearman Rank Test | 0.36 | |
| Residual Average | 0.0 | |
| Price Variance | 76.79 |
Bank Dinar Indonesia lagged returns against current returns
Autocorrelation, which is Bank Dinar 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 Dinar's stock expected returns. We can calculate the autocorrelation of Bank Dinar returns to help us make a trade decision. For example, suppose you find that Bank Dinar 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 Dinar 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 Dinar stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Bank Dinar stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Bank Dinar stock over time.
Current vs Lagged Prices |
| Timeline |
Bank Dinar Lagged Returns
When evaluating Bank Dinar's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Bank Dinar stock have on its future price. Bank Dinar 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 Dinar autocorrelation shows the relationship between Bank Dinar stock current value and its past values and can show if there is a momentum factor associated with investing in Bank Dinar Indonesia.
Regressed Prices |
| Timeline |
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Bank Dinar 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 Dinar security.