Home Loan Financial Probability of Future Pink Sheet Price Finishing Over 32.45

HLFNDelisted Stock  USD 29.50  0.00  0.00%   
Home Loan's future price is the expected price of Home Loan 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 Home Loan Financial performance during a given time horizon utilizing its historical volatility. Check out Risk vs Return Analysis to better understand how to build diversified portfolios. Also, note that the market value of any company could be closely tied with the direction of predictive economic indicators such as signals in census.
  
Please specify Home Loan's target price for which you would like Home Loan odds to be computed.

Home Loan Target Price Odds to finish over 32.45

The tendency of Home Pink Sheet 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 over $ 32.45  or more in 90 days
 29.50 90 days 32.45 
about 11.72
Based on a normal probability distribution, the odds of Home Loan to move over $ 32.45  or more in 90 days from now is about 11.72 (This Home Loan Financial probability density function shows the probability of Home Pink Sheet to fall within a particular range of prices over 90 days) . Probability of Home Loan Financial price to stay between its current price of $ 29.50  and $ 32.45  at the end of the 90-day period is about 81.18 .
Given the investment horizon of 90 days Home Loan Financial has a beta of -0.23. This usually indicates as returns on the benchmark increase, returns on holding Home Loan are expected to decrease at a much lower rate. During a bear market, however, Home Loan Financial is likely to outperform the market. Additionally Home Loan Financial 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.
   Home Loan Price Density   
       Price  

Predictive Modules for Home Loan

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Home Loan Financial. Regardless of method or technology, however, to accurately forecast the pink sheet market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the pink sheet 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
29.5029.5029.50
Details
Intrinsic
Valuation
LowRealHigh
25.5625.5632.45
Details
Naive
Forecast
LowNextHigh
28.8928.8928.89
Details
Bollinger
Band Projection (param)
LowerMiddle BandUpper
29.6430.3931.13
Details
Please note, it is not enough to conduct a financial or market analysis of a single entity such as Home Loan. Your research has to be compared to or analyzed against Home Loan's peers to derive any actionable benefits. When done correctly, Home Loan'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 Home Loan Financial.

Home Loan Risk Indicators

For the most part, the last 10-20 years have been a very volatile time for the stock market. Home Loan is not an exception. The market had few large corrections towards the Home Loan'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 Home Loan Financial, one way to have your portfolio be protected is to always look up for changing volatility and market elasticity of Home Loan within the framework of very fundamental risk indicators.
α
Alpha over Dow Jones
-0.1
β
Beta against Dow Jones-0.23
σ
Overall volatility
1.11
Ir
Information ratio -0.15

Home Loan 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 Home Loan for significant developments is a great way to find new opportunities for your next move. Suggestions and notifications for Home Loan Financial can help investors quickly react to important events or material changes in technical or fundamental conditions and significant headlines that can affect investment decisions.
Home Loan Financial is not yet fully synchronised with the market data
Home Loan Financial has a very high chance of going through financial distress in the upcoming years

Home Loan Technical Analysis

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

Home Loan Predictive Forecast Models

Home Loan's time-series forecasting models is one of many Home Loan's pink sheet 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 Home Loan'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 pink sheet market movement and maximize returns from investment trading.

Things to note about Home Loan Financial

Checking the ongoing alerts about Home Loan for important developments is a great way to find new opportunities for your next move. Our stock alerts and notifications screener for Home Loan Financial help investors to be notified of important events, changes in technical or fundamental conditions, and significant headlines that can affect investment decisions.
Home Loan Financial is not yet fully synchronised with the market data
Home Loan Financial has a very high chance of going through financial distress in the upcoming years
Check out Risk vs Return Analysis to better understand how to build diversified portfolios. Also, note that the market value of any company could be closely tied with the direction of predictive economic indicators such as signals in census.
You can also try the Portfolio Rebalancing module to analyze risk-adjusted returns against different time horizons to find asset-allocation targets.

Other Consideration for investing in Home Pink Sheet

If you are still planning to invest in Home Loan Financial check if it may still be traded through OTC markets such as Pink Sheets or OTC Bulletin Board. You may also purchase it directly from the company, but this is not always possible and may require contacting the company directly. Please note that delisted stocks are often considered to be more risky investments, as they are no longer subject to the same regulatory and reporting requirements as listed stocks. Therefore, it is essential to carefully research the Home Loan's history and understand the potential risks before investing.
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