Siebert Financial Stock Forecast - Simple Regression

SIEB Stock  USD 2.87  0.06  2.05%   
The Simple Regression forecasted value of Siebert Financial Corp on the next trading day is expected to be 2.87 with a mean absolute deviation of 0.09 and the sum of the absolute errors of 5.23. Siebert Stock Forecast is based on your current time horizon. Investors can use this forecasting interface to forecast Siebert Financial stock prices and determine the direction of Siebert Financial Corp's future trends based on various well-known forecasting models. We recommend always using this module together with an analysis of Siebert Financial's historical fundamentals, such as revenue growth or operating cash flow patterns.
  
As of November 30, 2024, Inventory Turnover is expected to decline to -0.38. In addition to that, Payables Turnover is expected to decline to 0.11. As of November 30, 2024, Common Stock Shares Outstanding is expected to decline to about 26.5 M. The current year's Net Loss is expected to grow to about (1.7 M).

Open Interest Against 2024-12-20 Siebert Option Contracts

Although open interest is a measure utilized in the options markets, it could be used to forecast Siebert Financial's spot prices because the number of available contracts in the market changes daily, and new contracts can be created or liquidated at will. Since open interest in Siebert Financial's options reflects these daily shifts, investors could use the patterns of these changes to develop long and short-term trading strategies for Siebert Financial stock based on available contracts left at the end of a trading day.
Please note that to derive more accurate forecasting about market movement from the current Siebert Financial's open interest, investors have to compare it to Siebert Financial's spot prices. As Ford's stock price increases, high open interest indicates that money is entering the market, and the market is strongly bullish. Conversely, if the price of Siebert Financial is decreasing and there is high open interest, that is a sign that the bearish trend will continue, and investors may react by taking short positions in Siebert. So, decreasing or low open interest during a bull market indicates that investors are becoming uncertain of the depth of the bullish trend, and a reversal in sentiment will likely follow.
Simple Regression model is a single variable regression model that attempts to put a straight line through Siebert Financial price points. This line is defined by its gradient or slope, and the point at which it intercepts the x-axis. Mathematically, assuming the independent variable is X and the dependent variable is Y, then this line can be represented as: Y = intercept + slope * X.

Siebert Financial Simple Regression Price Forecast For the 1st of December

Given 90 days horizon, the Simple Regression forecasted value of Siebert Financial Corp on the next trading day is expected to be 2.87 with a mean absolute deviation of 0.09, mean absolute percentage error of 0.01, and the sum of the absolute errors of 5.23.
Please note that although there have been many attempts to predict Siebert Stock prices using its time series forecasting, we generally do not recommend using it to place bets in the real market. The most commonly used models for forecasting predictions are the autoregressive models, which specify that Siebert Financial's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Siebert Financial Stock Forecast Pattern

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Siebert Financial Forecasted Value

In the context of forecasting Siebert Financial's Stock value on the next trading day, we examine the predictive performance of the model to find good statistically significant boundaries of downside and upside scenarios. Siebert Financial's downside and upside margins for the forecasting period are 0.03 and 6.98, respectively. We have considered Siebert Financial's daily market price to evaluate the above model's predictive performance. Remember, however, there is no scientific proof or empirical evidence that traditional linear or nonlinear forecasting models outperform artificial intelligence and frequency domain models to provide accurate forecasts consistently.
Market Value
2.87
2.87
Expected Value
6.98
Upside

Model Predictive Factors

The below table displays some essential indicators generated by the model showing the Simple Regression forecasting method's relative quality and the estimations of the prediction error of Siebert Financial stock data series using in forecasting. Note that when a statistical model is used to represent Siebert Financial 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 Criteria113.6616
BiasArithmetic mean of the errors None
MADMean absolute deviation0.0857
MAPEMean absolute percentage error0.0361
SAESum of the absolute errors5.2279
In general, regression methods applied to historical equity returns or prices series is an area of active research. In recent decades, new methods have been developed for robust regression of price series such as Siebert Financial Corp historical returns. These new methods are regression involving correlated responses such as growth curves and different regression methods accommodating various types of missing data.

Predictive Modules for Siebert Financial

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Siebert Financial Corp. 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 Siebert Financial'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
0.152.927.03
Details
Intrinsic
Valuation
LowRealHigh
0.153.067.17
Details

Other Forecasting Options for Siebert Financial

For every potential investor in Siebert, whether a beginner or expert, Siebert Financial's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Siebert Stock price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Siebert. Basic forecasting techniques help filter out the noise by identifying Siebert Financial's price trends.

Siebert Financial 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 Siebert Financial stock to make a market-neutral strategy. Peer analysis of Siebert Financial could also be used in its relative valuation, which is a method of valuing Siebert Financial by comparing valuation metrics with similar companies.
 Risk & Return  Correlation

Siebert Financial Corp Technical and Predictive Analytics

The stock market is financially volatile. Despite the volatility, there exist limitless possibilities of gaining profits and building passive income portfolios. With the complexity of Siebert Financial's price movements, a comprehensive understanding of forecasting methods that an investor can rely on to make the right move is invaluable. These methods predict trends that assist an investor in predicting the movement of Siebert Financial's current price.

Siebert Financial Market Strength Events

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

Siebert Financial Risk Indicators

The analysis of Siebert Financial'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 Siebert Financial's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting siebert 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.

Also Currently Popular

Analyzing currently trending equities could be an opportunity to develop a better portfolio based on different market momentums that they can trigger. Utilizing the top trending stocks is also useful when creating a market-neutral strategy or pair trading technique involving a short or a long position in a currently trending equity.
When determining whether Siebert Financial Corp offers a strong return on investment in its stock, a comprehensive analysis is essential. The process typically begins with a thorough review of Siebert Financial's financial statements, including income statements, balance sheets, and cash flow statements, to assess its financial health. Key financial ratios are used to gauge profitability, efficiency, and growth potential of Siebert Financial Corp Stock. Outlined below are crucial reports that will aid in making a well-informed decision on Siebert Financial Corp Stock:
Check out Historical Fundamental Analysis of Siebert Financial to cross-verify your projections.
You can also try the AI Portfolio Architect module to use AI to generate optimal portfolios and find profitable investment opportunities.
Is Investment Banking & Brokerage space expected to grow? Or is there an opportunity to expand the business' product line in the future? Factors like these will boost the valuation of Siebert Financial. If investors know Siebert will grow in the future, the company's valuation will be higher. The financial industry is built on trying to define current growth potential and future valuation accurately. All the valuation information about Siebert Financial listed above have to be considered, but the key to understanding future value is determining which factors weigh more heavily than others.
Quarterly Earnings Growth
0.364
Earnings Share
0.26
Revenue Per Share
1.984
Quarterly Revenue Growth
0.189
Return On Assets
0.0115
The market value of Siebert Financial Corp is measured differently than its book value, which is the value of Siebert that is recorded on the company's balance sheet. Investors also form their own opinion of Siebert Financial's value that differs from its market value or its book value, called intrinsic value, which is Siebert Financial's true underlying value. Investors use various methods to calculate intrinsic value and buy a stock when its market value falls below its intrinsic value. Because Siebert Financial's market value can be influenced by many factors that don't directly affect Siebert Financial's underlying business (such as a pandemic or basic market pessimism), market value can vary widely from intrinsic value.
Please note, there is a significant difference between Siebert Financial's value and its price as these two are different measures arrived at by different means. Investors typically determine if Siebert Financial is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Siebert Financial'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.