BANORT 8 38 Market Value
| P1400MAC2 | 92.50 11.49 11.05% |
| Symbol | BANORT |
BANORT '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 BANORT's bond 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 BANORT.
| 03/04/2024 |
| 08/31/2024 |
If you would invest 0.00 in BANORT on March 4, 2024 and sell it all today you would earn a total of 0.00 from holding BANORT 8 38 or generate 0.0% return on investment in BANORT over 180 days. BANORT is related to or competes with Newegg Commerce, Getty Realty, Alvotech, Tradeweb Markets, Cardinal Health, LENSAR, and Sonida Senior. More
BANORT 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 BANORT's bond 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 BANORT 8 38 upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.12) | |||
| Maximum Drawdown | 16.49 | |||
| Value At Risk | (1.71) | |||
| Potential Upside | 1.37 |
BANORT Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for BANORT's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as BANORT's standard deviation. In reality, there are many statistical measures that can use BANORT historical prices to predict the future BANORT's volatility.| Risk Adjusted Performance | (0.04) | |||
| Jensen Alpha | (0.12) | |||
| Total Risk Alpha | (0.41) | |||
| Treynor Ratio | 2.39 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of BANORT'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.
BANORT 8 38 Backtested Returns
BANORT 8 38 secures Sharpe Ratio (or Efficiency) of -0.079, which signifies that the bond had a -0.079% return per unit of risk over the last 3 months. BANORT 8 38 exposes twenty-one different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please confirm BANORT's Coefficient Of Variation of (1,631), mean deviation of 0.9813, and Variance of 3.77 to double-check the risk estimate we provide. The entity shows a Beta (market volatility) of -0.054, which signifies not very significant fluctuations relative to the market. As returns on the market increase, returns on owning BANORT are expected to decrease at a much lower rate. During the bear market, BANORT is likely to outperform the market.
Auto-correlation | -0.52 |
Good reverse predictability
BANORT 8 38 has good reverse predictability. Overlapping area represents the amount of predictability between BANORT time series from 4th of March 2024 to 2nd of June 2024 and 2nd of June 2024 to 31st of August 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 BANORT 8 38 price movement. The serial correlation of -0.52 indicates that about 52.0% of current BANORT price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.52 | |
| Spearman Rank Test | -0.47 | |
| Residual Average | 0.0 | |
| Price Variance | 5.63 |
BANORT 8 38 lagged returns against current returns
Autocorrelation, which is BANORT bond'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 BANORT's bond expected returns. We can calculate the autocorrelation of BANORT returns to help us make a trade decision. For example, suppose you find that BANORT has exhibited high autocorrelation historically, and you observe that the bond 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 |
BANORT 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 BANORT bond is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if BANORT bond is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in BANORT bond over time.
Current vs Lagged Prices |
| Timeline |
BANORT Lagged Returns
When evaluating BANORT's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of BANORT bond have on its future price. BANORT 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, BANORT autocorrelation shows the relationship between BANORT bond current value and its past values and can show if there is a momentum factor associated with investing in BANORT 8 38.
Regressed Prices |
| Timeline |
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Other Information on Investing in BANORT Bond
BANORT financial ratios help investors to determine whether BANORT Bond 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 BANORT with respect to the benefits of owning BANORT security.