Bombay Burmah (India) Probability of Future Stock Price Finishing Over 2,614

BBTC Stock   2,487  11.95  0.48%   
Bombay Burmah's future price is the expected price of Bombay Burmah 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 Bombay Burmah Trading performance during a given time horizon utilizing its historical volatility. Check out Bombay Burmah Backtesting, Bombay Burmah Valuation, Bombay Burmah Correlation, Bombay Burmah Hype Analysis, Bombay Burmah Volatility, Bombay Burmah History as well as Bombay Burmah Performance.
  
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Bombay Burmah Target Price Odds to finish over 2,614

The tendency of Bombay Stock 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 move above the current price in 90 days
 2,487 90 days 2,487 
over 95.52
Based on a normal probability distribution, the odds of Bombay Burmah to move above the current price in 90 days from now is over 95.52 (This Bombay Burmah Trading probability density function shows the probability of Bombay Stock to fall within a particular range of prices over 90 days) .
Assuming the 90 days trading horizon Bombay Burmah has a beta of 0.46 suggesting as returns on the market go up, Bombay Burmah average returns are expected to increase less than the benchmark. However, during the bear market, the loss on holding Bombay Burmah Trading will be expected to be much smaller as well. Additionally Bombay Burmah Trading has a negative alpha, implying that the risk taken by holding this instrument is not justified. The company is significantly underperforming the Dow Jones Industrial.
   Bombay Burmah Price Density   
       Price  

Predictive Modules for Bombay Burmah

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Bombay Burmah Trading. Regardless of method or technology, however, to accurately forecast the stock 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.
Hype
Prediction
LowEstimatedHigh
2,4732,4762,736
Details
Intrinsic
Valuation
LowRealHigh
2,1622,1652,736
Details
Earnings
Estimates (0)
LowProjected EPSHigh
93.3893.3893.38
Details

Bombay Burmah Risk Indicators

For the most part, the last 10-20 years have been a very volatile time for the stock market. Bombay Burmah is not an exception. The market had few large corrections towards the Bombay Burmah'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 Bombay Burmah Trading, one way to have your portfolio be protected is to always look up for changing volatility and market elasticity of Bombay Burmah within the framework of very fundamental risk indicators.
α
Alpha over Dow Jones
-0.05
β
Beta against Dow Jones0.46
σ
Overall volatility
101.56
Ir
Information ratio -0.04

Bombay Burmah Alerts and Suggestions

In today's market, stock alerts give investors the competitive edge they need to time the market and increase returns. Checking the ongoing alerts of Bombay Burmah for significant developments is a great way to find new opportunities for your next move. Suggestions and notifications for Bombay Burmah Trading can help investors quickly react to important events or material changes in technical or fundamental conditions and significant headlines that can affect investment decisions.
Bombay Burmah is unlikely to experience financial distress in the next 2 years
About 75.0% of the company shares are held by company insiders
Latest headline from news.google.com: Bombay Burmah Trading Corporation Second Quarter 2025 Earnings EPS 36.22 - Simply Wall St

Bombay Burmah Price Density Drivers

Market volatility will typically increase when nervous long traders begin to feel the short-sellers pressure to drive the market lower. The future price of Bombay Stock often depends not only on the future outlook of the current and potential Bombay Burmah's investors but also on the ongoing dynamics between investors with different trading styles. Because the market risk indicators may have small false signals, it is better to identify suitable times to hedge a portfolio using different long/short signals. Bombay Burmah's indicators that are reflective of the short sentiment are summarized in the table below.
Common Stock Shares Outstanding69.8 M
Cash And Short Term Investments25.6 B

Bombay Burmah Technical Analysis

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

Bombay Burmah Predictive Forecast Models

Bombay Burmah's time-series forecasting models is one of many Bombay Burmah's stock 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 Bombay Burmah'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 stock market movement and maximize returns from investment trading.

Things to note about Bombay Burmah Trading

Checking the ongoing alerts about Bombay Burmah for important developments is a great way to find new opportunities for your next move. Our stock alerts and notifications screener for Bombay Burmah Trading help investors to be notified of important events, changes in technical or fundamental conditions, and significant headlines that can affect investment decisions.
Bombay Burmah is unlikely to experience financial distress in the next 2 years
About 75.0% of the company shares are held by company insiders
Latest headline from news.google.com: Bombay Burmah Trading Corporation Second Quarter 2025 Earnings EPS 36.22 - Simply Wall St

Additional Tools for Bombay Stock Analysis

When running Bombay Burmah's price analysis, check to measure Bombay Burmah'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 Bombay Burmah is operating at the current time. Most of Bombay Burmah's value examination focuses on studying past and present price action to predict the probability of Bombay Burmah's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Bombay Burmah's price. Additionally, you may evaluate how the addition of Bombay Burmah to your portfolios can decrease your overall portfolio volatility.