BANORT 8 38 Analysis
P1400MAC2 | 95.90 1.90 2.02% |
The BANORT bond analysis report makes it easy to digest publicly released information about BANORT and get updates on its essential artifacts, development, and announcements. BANORT Bond analysis module also helps to break down the BANORT price relationship across important fundamental and technical indicators.
BANORT |
BANORT Bond Analysis Notes
BANORT 8 38 Investment Alerts
Many investors view ongoing market volatility as an opportunity to purchase more bonds at a favorable price or short it to generate a bearish trend profit opportunity. If you are one of those investors, make sure you clearly understand the position you are entering. BANORT's investment alerts are automatically generated signals that are significant enough to either complement your investing judgment regarding BANORT 8 38 or challenge it. These alerts can help you understand what you are buying and avoid costly mistakes.
BANORT 8 38 generated a negative expected return over the last 90 days |
Technical Drivers
As of the 30th of November, BANORT shows the Coefficient Of Variation of (2,061), variance of 0.8518, and Mean Deviation of 0.6919. Concerning fundamental indicators, the technical analysis model gives you tools to check possible technical drivers of BANORT, as well as the relationship between them. Put another way, you can use this information to find out if the entity will indeed mirror its model of historical prices and volume momentum, or the prices will eventually revert. We were able to analyze thirteen technical drivers for BANORT 8 38, which can be compared to its rivals. Please confirm BANORT 8 38 mean deviation, standard deviation, information ratio, as well as the relationship between the coefficient of variation and variance to decide if BANORT 8 38 is priced adequately, providing market reflects its regular price of 95.9 per share.BANORT 8 38 Price Movement Analysis
The output start index for this execution was thirty-five with a total number of output elements of twenty-six. The Bollinger Bands is very popular indicator that was developed by John Bollinger. It consist of three lines. BANORT middle band is a simple moving average of its typical price. The upper and lower bands are (N) standard deviations above and below the middle band. The bands widen and narrow when the volatility of the price is higher or lower, respectively. The upper and lower bands can also be interpreted as price targets for BANORT 8 38. When the price bounces off of the lower band and crosses the middle band, then the upper band becomes the price target..
BANORT Technical and Predictive Indicators
Risk Adjusted Performance | (0.035726) | |||
Market Risk Adjusted Performance | (0.31) | |||
Mean Deviation | 0.6919 | |||
Coefficient Of Variation | (2,061) | |||
Standard Deviation | 0.9229 | |||
Variance | 0.8518 | |||
Information Ratio | (0.06) | |||
Jensen Alpha | (0.05) | |||
Total Risk Alpha | (0.06) | |||
Treynor Ratio | (0.32) | |||
Maximum Drawdown | 4.77 | |||
Value At Risk | (1.43) | |||
Potential Upside | 1.8 | |||
Skewness | 0.5747 | |||
Kurtosis | 0.7521 |
Risk Adjusted Performance | (0.035726) | |||
Market Risk Adjusted Performance | (0.31) | |||
Mean Deviation | 0.6919 | |||
Coefficient Of Variation | (2,061) | |||
Standard Deviation | 0.9229 | |||
Variance | 0.8518 | |||
Information Ratio | (0.06) | |||
Jensen Alpha | (0.05) | |||
Total Risk Alpha | (0.06) | |||
Treynor Ratio | (0.32) | |||
Maximum Drawdown | 4.77 | |||
Value At Risk | (1.43) | |||
Potential Upside | 1.8 | |||
Skewness | 0.5747 | |||
Kurtosis | 0.7521 |
BANORT Forecast Models
BANORT's time-series forecasting models are one of many BANORT's bond analysis techniques aimed at predicting future share value based on previously observed values. Time-series forecasting models ae widely used for non-stationary data. Non-stationary data are called the data whose statistical properties e.g. the mean and standard deviation are not constant over time but instead, these metrics vary over time. These non-stationary BANORT's historical data is usually called time-series. Some empirical experimentation suggests that the statistical forecasting models outperform the models based exclusively on fundamental analysis to predict the direction of the market movement and maximize returns from investment trading.Be your own money manager
As an investor, your ultimate goal is to build wealth. Optimizing your investment portfolio is an essential element in this goal. Using our bond analysis tools, you can find out how much better you can do when adding BANORT to your portfolios without increasing risk or reducing expected return.Did you try this?
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Check out World Market Map to better understand how to build diversified portfolios, which includes a position in BANORT 8 38. Also, note that the market value of any Bond could be tightly coupled with the direction of predictive economic indicators such as signals in nation. Note that the BANORT 8 38 information on this page should be used as a complementary analysis to other BANORT'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 Insider Screener module to find insiders across different sectors to evaluate their impact on performance.
Complementary Tools for BANORT Bond analysis
When running BANORT's price analysis, check to measure BANORT'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 BANORT is operating at the current time. Most of BANORT's value examination focuses on studying past and present price action to predict the probability of BANORT's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move BANORT's price. Additionally, you may evaluate how the addition of BANORT to your portfolios can decrease your overall portfolio volatility.
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