HomeStreet Stock Forward View - Polynomial Regression

HMSTDelisted Stock  USD 13.87  0.34  2.51%   
HomeStreet Stock outlook is based on your current time horizon.
At this time the value of rsi of HomeStreet's share price is below 20 . This usually indicates that the stock is significantly oversold. The fundamental principle of the Relative Strength Index (RSI) is to quantify the velocity at which market participants are driving the price of a financial instrument upwards or downwards.

Momentum 0

 Sell Peaked

 
Oversold
 
Overbought
The successful prediction of HomeStreet's future price could yield a significant profit. We analyze noise-free headlines and recent hype associated with HomeStreet, which may create opportunities for some arbitrage if properly timed.
Using HomeStreet hype-based prediction, you can estimate the value of HomeStreet from the perspective of HomeStreet response to recently generated media hype and the effects of current headlines on its competitors.
The Polynomial Regression forecasted value of HomeStreet on the next trading day is expected to be 14.03 with a mean absolute deviation of 0.28 and the sum of the absolute errors of 17.12.

HomeStreet after-hype prediction price

    
  USD 13.87  
There is no one specific way to measure market sentiment using hype analysis or a similar predictive technique. This prediction method should be used in combination with more fundamental and traditional techniques such as delisted stock price forecasting, technical analysis, analysts consensus, earnings estimates, and various momentum models.
  
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 main economic indicators.

HomeStreet Additional Predictive Modules

Most predictive techniques to examine HomeStreet price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for HomeStreet using various technical indicators. When you analyze HomeStreet charts, please remember that the event formation may indicate an entry point for a short seller, and look at other indicators across different periods to confirm that a breakdown or reversion is likely to occur.
HomeStreet polinomial regression implements a single variable polynomial regression model using the daily prices as the independent variable. The coefficients of the regression for HomeStreet as well as the accuracy indicators are determined from the period prices.

HomeStreet Polynomial Regression Price Forecast For the 6th of February

Given 90 days horizon, the Polynomial Regression forecasted value of HomeStreet on the next trading day is expected to be 14.03 with a mean absolute deviation of 0.28, mean absolute percentage error of 0.11, and the sum of the absolute errors of 17.12.
Please note that although there have been many attempts to predict HomeStreet Stock prices using its time series forecasting, we generally do not suggest using it to place bets in the real market. The most commonly used models for forecasting predictions are the autoregressive models, which specify that HomeStreet's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

HomeStreet Stock Forecast Pattern

Backtest HomeStreet  HomeStreet Price Prediction  Research Analysis  

Model Predictive Factors

The below table displays some essential indicators generated by the model showing the Polynomial Regression forecasting method's relative quality and the estimations of the prediction error of HomeStreet stock data series using in forecasting. Note that when a statistical model is used to represent HomeStreet stock, the representation will rarely be exact; so some information will be lost using the model to explain the process. AIC estimates the relative amount of information lost by a given model: the less information a model loses, the higher its quality.
AICAkaike Information Criteria115.8601
BiasArithmetic mean of the errors None
MADMean absolute deviation0.2807
MAPEMean absolute percentage error0.0217
SAESum of the absolute errors17.1212
A single variable polynomial regression model attempts to put a curve through the HomeStreet historical price points. Mathematically, assuming the independent variable is X and the dependent variable is Y, this line can be indicated as: Y = a0 + a1*X + a2*X2 + a3*X3 + ... + am*Xm

Predictive Modules for HomeStreet

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as HomeStreet. 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.
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of HomeStreet'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.
Hype
Prediction
LowEstimatedHigh
13.8713.8713.87
Details
Intrinsic
Valuation
LowRealHigh
11.4511.4515.26
Details
Bollinger
Band Projection (param)
LowMiddleHigh
12.3713.2014.04
Details

HomeStreet After-Hype Price Density Analysis

As far as predicting the price of HomeStreet at your current risk attitude, this probability distribution graph shows the chance that the prediction will fall between or within a specific range. We use this chart to confirm that your returns on investing in HomeStreet or, for that matter, your successful expectations of its future price, cannot be replicated consistently. Please note, a large amount of money has been lost over the years by many investors who confused the symmetrical distributions of Stock prices, such as prices of HomeStreet, with the unreliable approximations that try to describe financial returns.
   Next price density   
       Expected price to next headline  

HomeStreet Estimiated After-Hype Price Volatility

In the context of predicting HomeStreet's stock value on the day after the next significant headline, we show statistically significant boundaries of downside and upside scenarios based on HomeStreet's historical news coverage. HomeStreet's after-hype downside and upside margins for the prediction period are 13.87 and 13.87, respectively. We have considered HomeStreet's daily market price in relation to the headlines to evaluate this method's predictive performance. Remember, however, there is no scientific proof or empirical evidence that news-based prediction models compare with traditional linear, nonlinear models or artificial intelligence models to provide accurate predictions consistently.
Current Value
13.87
13.87
After-hype Price
13.87
Upside
HomeStreet is very steady at this time. Analysis and calculation of next after-hype price of HomeStreet is based on 3 months time horizon.

HomeStreet Stock Price Outlook Analysis

Have you ever been surprised when a price of a Company such as HomeStreet is soaring high without any particular reason? This is usually happening because many institutional investors are aggressively trading HomeStreet backward and forwards among themselves. Have you ever observed a lot of a particular company's price movement is driven by press releases or news about the company that has nothing to do with actual earnings? Usually, hype to individual companies acts as price momentum. If not enough favorable publicity is forthcoming, the Delisted Stock price eventually runs out of speed. So, the rule of thumb here is that as long as this news hype has nothing to do with immediate earnings, you should pay more attention to it. If you see this tendency with HomeStreet, there might be something going there, and it might present an excellent short sale opportunity.
Expected ReturnPeriod VolatilityHype ElasticityRelated ElasticityNews DensityRelated DensityExpected Hype
 0.00  
0.00
 0.00  
 0.00  
6 Events / Month
2 Events / Month
In about 6 days
Latest traded priceExpected after-news pricePotential return on next major newsAverage after-hype volatility
13.87
13.87
0.00 
0.00  
Notes

HomeStreet Hype Timeline

HomeStreet is currently traded for 13.87. The entity stock is not elastic to its hype. The average elasticity to hype of competition is 0.0. HomeStreet is projected not to react to the next headline, with the price staying at about the same level, and average media hype impact volatility is insignificant. The immediate return on the next news is projected to be very small, whereas the daily expected return is currently at 0.0%. %. The volatility of related hype on HomeStreet is about 0.0%, with the expected price after the next announcement by competition of 13.87. About 82.0% of the company shares are owned by institutional investors. The company has price-to-book (P/B) ratio of 0.65. Some equities with similar Price to Book (P/B) outperform the market in the long run. HomeStreet has Price/Earnings To Growth (PEG) ratio of 1.82. The entity recorded a loss per share of 7.39. The firm last dividend was issued on the 7th of November 2023. HomeStreet had 2:1 split on the 8th of November 2012. Given the investment horizon of 90 days the next projected press release will be in about 6 days.
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 main economic indicators.

HomeStreet Related Hype Analysis

Having access to credible news sources related to HomeStreet's direct competition is more important than ever and may enhance your ability to predict HomeStreet's future price movements. Getting to know how HomeStreet's peers react to changing market sentiment, related social signals, and mainstream news is a great way to find investing opportunities and time the market. The summary table below summarizes the essential lagging indicators that can help you analyze how HomeStreet may potentially react to the hype associated with one of its peers.

HomeStreet Related Equities

One of the popular trading techniques among algorithmic traders is to use market-neutral strategies where every trade hedges away some risk. Because there are two separate transactions required, even if one position performs unexpectedly, the other equity can make up some of the losses. Below are some of the equities that can be combined with HomeStreet stock to make a market-neutral strategy. Peer analysis of HomeStreet could also be used in its relative valuation, which is a method of valuing HomeStreet by comparing valuation metrics with similar companies.
 Risk & Return  Correlation

HomeStreet Market Strength Events

Market strength indicators help investors to evaluate how HomeStreet stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading HomeStreet shares will generate the highest return on investment. By undertsting and applying HomeStreet stock market strength indicators, traders can identify HomeStreet entry and exit signals to maximize returns.

HomeStreet Risk Indicators

The analysis of HomeStreet's basic risk indicators is one of the essential steps in accurately forecasting its future price. The process involves identifying the amount of risk involved in HomeStreet's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting homestreet stock prices, we also provide a set of basic risk indicators that can assist in the individual investment decision or help in hedging the risk of your existing portfolios.
Please note, the risk measures we provide can be used independently or collectively to perform a risk assessment. When comparing two potential investments, we recommend comparing similar equities with homogenous growth potential and valuation from related markets to determine which investment holds the most risk.

Story Coverage note for HomeStreet

The number of cover stories for HomeStreet depends on current market conditions and HomeStreet's risk-adjusted performance over time. The coverage that generates the most noise at a given time depends on the prevailing investment theme that HomeStreet is classified under. However, while its typical story may have numerous social followers, the rapid visibility can also attract short-sellers, who usually are skeptical about HomeStreet's long-term prospects. So, having above-average coverage will typically attract above-average short interest, leading to significant price volatility.

HomeStreet Short Properties

HomeStreet's future price predictability will typically decrease when HomeStreet's long traders begin to feel the short-sellers pressure to drive the price lower. The predictive aspect of HomeStreet often depends not only on the future outlook of the potential HomeStreet'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. HomeStreet's indicators that are reflective of the short sentiment are summarized in the table below.
Common Stock Shares Outstanding18.9 M
Cash And Short Term Investments406.6 M
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 main economic indicators.
You can also try the Idea Analyzer module to analyze all characteristics, volatility and risk-adjusted return of Macroaxis ideas.

Other Consideration for investing in HomeStreet Stock

If you are still planning to invest in HomeStreet 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 HomeStreet's history and understand the potential risks before investing.
Price Ceiling Movement
Calculate and plot Price Ceiling Movement for different equity instruments
Stock Screener
Find equities using a custom stock filter or screen asymmetry in trading patterns, price, volume, or investment outlook.
Sync Your Broker
Sync your existing holdings, watchlists, positions or portfolios from thousands of online brokerage services, banks, investment account aggregators and robo-advisors.
Alpha Finder
Use alpha and beta coefficients to find investment opportunities after accounting for the risk
Bonds Directory
Find actively traded corporate debentures issued by US companies
Efficient Frontier
Plot and analyze your portfolio and positions against risk-return landscape of the market.
Portfolio Optimization
Compute new portfolio that will generate highest expected return given your specified tolerance for risk
Commodity Directory
Find actively traded commodities issued by global exchanges
Theme Ratings
Determine theme ratings based on digital equity recommendations. Macroaxis theme ratings are based on combination of fundamental analysis and risk-adjusted market performance