BANORT 8 38 Chance of Future Bond Price Finishing Over 95.76

P1400MAC2   100.87  0.00  0.00%   
BANORT's future price is the expected price of BANORT instrument. It is based on its current growth rate as well as the projected cash flow expected by the investors. This tool provides a mechanism to make assumptions about the upside potential and downside risk of BANORT 8 38 performance during a given time horizon utilizing its historical volatility. Check out BANORT Backtesting, Portfolio Optimization, BANORT Correlation, BANORT Hype Analysis, BANORT Volatility, BANORT History as well as BANORT Performance.
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BANORT Target Price Odds to finish over 95.76

The tendency of BANORT Bond price to converge on an average value over time is a known aspect in finance that investors have used since the beginning of the stock market for forecasting. However, many studies suggest that some traded equity instruments are consistently mispriced before traders' demand and supply correct the spread. One possible conclusion to this anomaly is that these stocks have additional risk, for which investors demand compensation in the form of extra returns.
Current PriceHorizonTarget PriceOdds to stay above  95.76  in 90 days
 100.87 90 days 95.76 
roughly 96.0
Based on a normal probability distribution, the odds of BANORT to stay above  95.76  in 90 days from now is roughly 96.0 (This BANORT 8 38 probability density function shows the probability of BANORT Bond to fall within a particular range of prices over 90 days) . Probability of BANORT 8 38 price to stay between  95.76  and its current price of 100.87 at the end of the 90-day period is about 90.23 .
Assuming the 90 days trading horizon BANORT has a beta of 0.0121. This usually implies as returns on the market go up, BANORT average returns are expected to increase less than the benchmark. However, during the bear market, the loss on holding BANORT 8 38 will be expected to be much smaller as well. Additionally The company has an alpha of 0.1433, implying that it can generate a 0.14 percent excess return over NYSE Composite after adjusting for the inherited market risk (beta).
   BANORT Price Density   

Predictive Modules for BANORT

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as BANORT 8 38. Regardless of method or technology, however, to accurately forecast the stock or bond market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the stock market accurately is still an essential part of the overall investment decision process. Using different forecasting techniques and comparing the results might improve your chances of accuracy even though unexpected events may often change the market sentiment and impact your forecasting results.
Sophisticated investors, who have witnessed many market ups and downs, frequently view 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. Please use the tools below to analyze the current value of BANORT in the context of predictive analytics.
Band Projection (param)
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Please note, it is not enough to conduct a financial or market analysis of a single entity such as BANORT. Your research has to be compared to or analyzed against BANORT's peers to derive any actionable benefits. When done correctly, BANORT's competitive analysis will give you plenty of quantitative and qualitative data to validate your investment decisions or develop an entirely new strategy toward taking a position in BANORT 8 38.

BANORT Risk Indicators

For the most part, the last 10-20 years have been a very volatile time for the stock market. BANORT is not an exception. The market had few large corrections towards the BANORT's value, including both sudden drops in prices as well as massive rallies. These swings have made and broken many portfolios. An investor can limit the violent swings in their portfolio by implementing a hedging strategy designed to limit downside losses. If you hold BANORT 8 38, one way to have your portfolio be protected is to always look up for changing volatility and market elasticity of BANORT within the framework of very fundamental risk indicators.
Alpha over NYSE Composite
Beta against NYSE Composite0.01
Overall volatility
Information ratio -0.02

BANORT Technical Analysis

BANORT's future price can be derived by breaking down and analyzing its technical indicators over time. BANORT Bond technical analysis helps investors analyze different prices and returns patterns as well as diagnose historical swings to determine the real value of BANORT 8 38. In general, you should focus on analyzing BANORT Bond price patterns and their correlations with different microeconomic environments and drivers.

BANORT Predictive Forecast Models

BANORT's time-series forecasting models is one of many BANORT's bond analysis techniques aimed to predict future share value based on previously observed values. Time-series forecasting models are 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. This 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 bond market movement and maximize returns from investment trading.
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 BANORT 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, BANORT's short interest history, or implied volatility extrapolated from BANORT options trading.
Check out BANORT Backtesting, Portfolio Optimization, BANORT Correlation, BANORT Hype Analysis, BANORT Volatility, BANORT History as well as BANORT Performance.
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 Companies Directory module to evaluate performance of over 100,000 Stocks, Funds, and ETFs against different fundamentals.

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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Please note, there is a significant difference between BANORT's value and its price as these two are different measures arrived at by different means. Investors typically determine if BANORT is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, BANORT's price is the amount at which it trades on the open market and represents the number that a seller and buyer find agreeable to each party.