Kearny Financial Stock Forecast - Polynomial Regression
| KRNY Stock | USD 5.76 0.11 1.95% |
The Polynomial Regression forecasted value of Kearny Financial Corp on the next trading day is expected to be 5.52 with a mean absolute deviation of 0.17 and the sum of the absolute errors of 10.13. Kearny Stock Forecast is based on your current time horizon. Investors can use this forecasting interface to forecast Kearny Financial stock prices and determine the direction of Kearny Financial Corp's future trends based on various well-known forecasting models. We recommend always using this module together with an analysis of Kearny Financial's historical fundamentals, such as revenue growth or operating cash flow patterns. Although Kearny 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 Kearny Financial's systematic risk associated with finding meaningful patterns of Kearny Financial fundamentals over time.
Check out Historical Fundamental Analysis of Kearny Financial to cross-verify your projections. Kearny |
Open Interest Against 2024-05-17 Kearny Option Contracts
Although open interest is a measure utilized in the options markets, it could be used to forecast Kearny 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 Kearny Financial's options reflects these daily shifts, investors could use the patterns of these changes to develop long and short-term trading strategies for Kearny 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 Kearny Financial's open interest, investors have to compare it to Kearny 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 Kearny 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 Kearny. 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 Kearny 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 Kearny Financial's time series price data and predict how it will affect future prices. One of these methodologies is forecasting, which interprets Kearny Financial's price structures and extracts relationships that further increase the generated results' accuracy.
Kearny Financial polinomial regression implements a single variable polynomial regression model using the daily prices as the independent variable. The coefficients of the regression for Kearny Financial Corp as well as the accuracy indicators are determined from the period prices. Kearny Financial Polynomial Regression Price Forecast For the 6th of May
Given 90 days horizon, the Polynomial Regression forecasted value of Kearny Financial Corp on the next trading day is expected to be 5.52 with a mean absolute deviation of 0.17, mean absolute percentage error of 0.04, and the sum of the absolute errors of 10.13.Please note that although there have been many attempts to predict Kearny 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 Kearny Financial's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Kearny Financial Stock Forecast Pattern
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Kearny Financial Forecasted Value
In the context of forecasting Kearny 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. Kearny Financial's downside and upside margins for the forecasting period are 2.47 and 8.56, respectively. We have considered Kearny 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.
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 Kearny Financial stock data series using in forecasting. Note that when a statistical model is used to represent Kearny 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.| AIC | Akaike Information Criteria | 114.8877 |
| Bias | Arithmetic mean of the errors | None |
| MAD | Mean absolute deviation | 0.166 |
| MAPE | Mean absolute percentage error | 0.0275 |
| SAE | Sum of the absolute errors | 10.1283 |
Predictive Modules for Kearny 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 Kearny 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 Kearny 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.
Other Forecasting Options for Kearny Financial
For every potential investor in Kearny, whether a beginner or expert, Kearny Financial's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Kearny Stock price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Kearny. Basic forecasting techniques help filter out the noise by identifying Kearny Financial's price trends.Kearny 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 Kearny Financial stock to make a market-neutral strategy. Peer analysis of Kearny Financial could also be used in its relative valuation, which is a method of valuing Kearny Financial by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
Kearny 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 Kearny 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 Kearny Financial's current price.| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
Kearny Financial Market Strength Events
Market strength indicators help investors to evaluate how Kearny 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 Kearny Financial shares will generate the highest return on investment. By undertsting and applying Kearny Financial stock market strength indicators, traders can identify Kearny Financial Corp entry and exit signals to maximize returns.
Kearny Financial Risk Indicators
The analysis of Kearny 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 Kearny Financial's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting kearny 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.
| Mean Deviation | 2.24 | |||
| Standard Deviation | 3.02 | |||
| Variance | 9.1 |
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.
Some investors attempt to determine whether the market's mood is bullish or bearish by monitoring changes in market sentiment. Unlike more traditional methods such as technical analysis, investor sentiment usually refers to the aggregate attitude towards Kearny Financial in the overall investment community. So, suppose investors can accurately measure the market's sentiment. In that case, they can use it for their benefit. For example, some tools to gauge market sentiment could be utilized using contrarian indexes, Kearny Financial's short interest history, or implied volatility extrapolated from Kearny Financial options trading.
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Try AI Portfolio ArchitectCheck out Historical Fundamental Analysis of Kearny Financial to cross-verify your projections. You can also try the Piotroski F Score module to get Piotroski F Score based on the binary analysis strategy of nine different fundamentals.
Complementary Tools for Kearny Stock analysis
When running Kearny Financial's price analysis, check to measure Kearny Financial'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 Kearny Financial is operating at the current time. Most of Kearny Financial's value examination focuses on studying past and present price action to predict the probability of Kearny Financial's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Kearny Financial's price. Additionally, you may evaluate how the addition of Kearny Financial to your portfolios can decrease your overall portfolio volatility.
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Is Kearny Financial's industry 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 Kearny Financial. If investors know Kearny 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 Kearny 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 (0.25) | Dividend Share 0.44 | Earnings Share 0.29 | Revenue Per Share 2.267 | Quarterly Revenue Growth (0.14) |
The market value of Kearny Financial Corp is measured differently than its book value, which is the value of Kearny that is recorded on the company's balance sheet. Investors also form their own opinion of Kearny Financial's value that differs from its market value or its book value, called intrinsic value, which is Kearny 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 Kearny Financial's market value can be influenced by many factors that don't directly affect Kearny 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 Kearny Financial's value and its price as these two are different measures arrived at by different means. Investors typically determine if Kearny Financial is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Kearny 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.