Jefferies Financial Stock Forecast - Polynomial Regression

JEF Stock  USD 44.53  0.60  1.33%   
The Polynomial Regression forecasted value of Jefferies Financial Group on the next trading day is expected to be 45.02 with a mean absolute deviation of 0.93 and the sum of the absolute errors of 57.57. Jefferies Stock Forecast is based on your current time horizon. Investors can use this forecasting interface to forecast Jefferies Financial stock prices and determine the direction of Jefferies Financial Group's future trends based on various well-known forecasting models. We recommend always using this module together with an analysis of Jefferies Financial's historical fundamentals, such as revenue growth or operating cash flow patterns. Although Jefferies Financial's naive historical forecasting may sometimes provide an important future outlook for the firm, we recommend always cross-verifying it against solid analysis of Jefferies Financial's systematic risk associated with finding meaningful patterns of Jefferies Financial fundamentals over time.
Check out Historical Fundamental Analysis of Jefferies Financial to cross-verify your projections.
  
The Jefferies Financial's current Fixed Asset Turnover is estimated to increase to 17.36, while Inventory Turnover is projected to decrease to 0.49. . The Jefferies Financial's current Common Stock Shares Outstanding is estimated to increase to about 251.3 M, while Net Income Applicable To Common Shares is projected to decrease to roughly 249.9 M.

Open Interest Against 2024-06-21 Jefferies Option Contracts

Although open interest is a measure utilized in the options markets, it could be used to forecast Jefferies 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 Jefferies Financial's options reflects these daily shifts, investors could use the patterns of these changes to develop long and short-term trading strategies for Jefferies 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 Jefferies Financial's open interest, investors have to compare it to Jefferies 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 Jefferies 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 Jefferies. 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.
Most investors in Jefferies Financial cannot accurately predict what will happen the next trading day because, historically, stock markets tend to be unpredictable and even illogical. Modeling turbulent structures requires applying different statistical methods, techniques, and algorithms to find hidden data structures or patterns within the Jefferies Financial's time series price data and predict how it will affect future prices. One of these methodologies is forecasting, which interprets Jefferies Financial's price structures and extracts relationships that further increase the generated results' accuracy.
Jefferies Financial polinomial regression implements a single variable polynomial regression model using the daily prices as the independent variable. The coefficients of the regression for Jefferies Financial Group as well as the accuracy indicators are determined from the period prices.

Jefferies Financial Polynomial Regression Price Forecast For the 9th of June

Given 90 days horizon, the Polynomial Regression forecasted value of Jefferies Financial Group on the next trading day is expected to be 45.02 with a mean absolute deviation of 0.93, mean absolute percentage error of 1.25, and the sum of the absolute errors of 57.57.
Please note that although there have been many attempts to predict Jefferies 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 Jefferies Financial's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Jefferies Financial Stock Forecast Pattern

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Jefferies Financial Forecasted Value

In the context of forecasting Jefferies 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. Jefferies Financial's downside and upside margins for the forecasting period are 43.58 and 46.47, respectively. We have considered Jefferies 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
44.53
45.02
Expected Value
46.47
Upside

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 Jefferies Financial stock data series using in forecasting. Note that when a statistical model is used to represent Jefferies 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 Criteria120.1715
BiasArithmetic mean of the errors None
MADMean absolute deviation0.9285
MAPEMean absolute percentage error0.0211
SAESum of the absolute errors57.57
A single variable polynomial regression model attempts to put a curve through the Jefferies Financial 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 Jefferies 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 Jefferies Financial. 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 Jefferies 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
43.1044.5445.98
Details
Intrinsic
Valuation
LowRealHigh
41.1542.5948.98
Details
3 Analysts
Consensus
LowTargetHigh
36.4040.0044.40
Details
Earnings
Estimates (0)
LowProjected EPSHigh
0.710.880.99
Details

Other Forecasting Options for Jefferies Financial

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

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

Jefferies Financial 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 Jefferies 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 Jefferies Financial's current price.

Jefferies Financial Market Strength Events

Market strength indicators help investors to evaluate how Jefferies 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 Jefferies Financial shares will generate the highest return on investment. By undertsting and applying Jefferies Financial stock market strength indicators, traders can identify Jefferies Financial Group entry and exit signals to maximize returns.

Jefferies Financial Risk Indicators

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

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Additional Information and Resources on Investing in Jefferies Stock

When determining whether Jefferies Financial is a strong investment it is important to analyze Jefferies Financial's competitive position within its industry, examining market share, product or service uniqueness, and competitive advantages. Beyond financials and market position, potential investors should also consider broader economic conditions, industry trends, and any regulatory or geopolitical factors that may impact Jefferies Financial's future performance. For an informed investment choice regarding Jefferies Stock, refer to the following important reports:
Check out Historical Fundamental Analysis of Jefferies Financial to cross-verify your projections.
You can also try the Stock Tickers module to use high-impact, comprehensive, and customizable stock tickers that can be easily integrated to any websites.
Is Multi-Sector Holdings 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 Jefferies Financial. If investors know Jefferies 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 Jefferies 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
0.212
Dividend Share
1.2
Earnings Share
1.25
Revenue Per Share
22.626
Quarterly Revenue Growth
0.354
The market value of Jefferies Financial is measured differently than its book value, which is the value of Jefferies that is recorded on the company's balance sheet. Investors also form their own opinion of Jefferies Financial's value that differs from its market value or its book value, called intrinsic value, which is Jefferies 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 Jefferies Financial's market value can be influenced by many factors that don't directly affect Jefferies 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 Jefferies Financial's value and its price as these two are different measures arrived at by different means. Investors typically determine if Jefferies Financial is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Jefferies 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.