Kearny Financial Corp Stock Market Value

KRNY Stock  USD 8.19  0.12  1.49%   
Kearny Financial's market value is the price at which a share of Kearny Financial trades on a public exchange. It measures the collective expectations of Kearny Financial Corp investors about its performance. Kearny Financial is trading at 8.19 as of the 22nd of November 2024; that is 1.49% increase since the beginning of the trading day. The stock's open price was 8.07.
With this module, you can estimate the performance of a buy and hold strategy of Kearny Financial Corp and determine expected loss or profit from investing in Kearny Financial over a given investment horizon. Check out Kearny Financial Correlation, Kearny Financial Volatility and Kearny Financial Alpha and Beta module to complement your research on Kearny Financial.
Symbol

Kearny Financial Corp Price To Book Ratio

Is Regional Banks 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 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
(0.38)
Dividend Share
0.44
Earnings Share
(1.45)
Revenue Per Share
2.062
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.

Kearny Financial 'What if' Analysis

In the world of financial modeling, what-if analysis is part of sensitivity analysis performed to test how changes in assumptions impact individual outputs in a model. When applied to Kearny Financial's stock what-if analysis refers to the analyzing how the change in your past investing horizon will affect the profitability against the current market value of Kearny Financial.
0.00
05/26/2024
No Change 0.00  0.0 
In 5 months and 29 days
11/22/2024
0.00
If you would invest  0.00  in Kearny Financial on May 26, 2024 and sell it all today you would earn a total of 0.00 from holding Kearny Financial Corp or generate 0.0% return on investment in Kearny Financial over 180 days. Kearny Financial is related to or competes with National Bank, Community West, Financial Institutions, Heritage Financial, First Financial, Sierra Bancorp, and Finward Bancorp. Kearny Financial Corp. operates as the holding company for Kearny Bank that provides various banking products and servic... More

Kearny Financial Upside/Downside Indicators

Understanding different market momentum indicators often help investors to time their next move. Potential upside and downside technical ratios enable traders to measure Kearny Financial's stock current market value against overall market sentiment and can be a good tool during both bulling and bearish trends. Here we outline some of the essential indicators to assess Kearny Financial Corp upside and downside potential and time the market with a certain degree of confidence.

Kearny Financial Market Risk Indicators

Today, many novice investors tend to focus exclusively on investment returns with little concern for Kearny Financial's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Kearny Financial's standard deviation. In reality, there are many statistical measures that can use Kearny Financial historical prices to predict the future Kearny Financial's volatility.
Hype
Prediction
LowEstimatedHigh
5.218.2711.33
Details
Intrinsic
Valuation
LowRealHigh
4.747.8010.86
Details
Naive
Forecast
LowNextHigh
4.988.0411.10
Details
2 Analysts
Consensus
LowTargetHigh
6.607.258.05
Details

Kearny Financial Corp Backtested Returns

Kearny Financial appears to be somewhat reliable, given 3 months investment horizon. Kearny Financial Corp has Sharpe Ratio of 0.11, which conveys that the firm had a 0.11% return per unit of risk over the last 3 months. We have found twenty-nine technical indicators for Kearny Financial, which you can use to evaluate the volatility of the firm. Please exercise Kearny Financial's Risk Adjusted Performance of 0.1107, downside deviation of 1.91, and Mean Deviation of 1.97 to check out if our risk estimates are consistent with your expectations. On a scale of 0 to 100, Kearny Financial holds a performance score of 8. The company secures a Beta (Market Risk) of 3.08, which conveys a somewhat significant risk relative to the market. As the market goes up, the company is expected to outperform it. However, if the market returns are negative, Kearny Financial will likely underperform. Please check Kearny Financial's potential upside, and the relationship between the jensen alpha and accumulation distribution , to make a quick decision on whether Kearny Financial's current price movements will revert.

Auto-correlation

    
  0.41  

Average predictability

Kearny Financial Corp has average predictability. Overlapping area represents the amount of predictability between Kearny Financial time series from 26th of May 2024 to 24th of August 2024 and 24th of August 2024 to 22nd of November 2024. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of Kearny Financial Corp price movement. The serial correlation of 0.41 indicates that just about 41.0% of current Kearny Financial price fluctuation can be explain by its past prices.
Correlation Coefficient0.41
Spearman Rank Test0.55
Residual Average0.0
Price Variance0.4

Kearny Financial Corp lagged returns against current returns

Autocorrelation, which is Kearny Financial stock's lagged correlation, explains the relationship between observations of its time series of returns over different periods of time. The observations are said to be independent if autocorrelation is zero. Autocorrelation is calculated as a function of mean and variance and can have practical application in predicting Kearny Financial's stock expected returns. We can calculate the autocorrelation of Kearny Financial returns to help us make a trade decision. For example, suppose you find that Kearny Financial has exhibited high autocorrelation historically, and you observe that the stock is moving up for the past few days. In that case, you can expect the price movement to match the lagging time series.
   Current and Lagged Values   
       Timeline  

Kearny Financial regressed lagged prices vs. current prices

Serial correlation can be approximated by using the Durbin-Watson (DW) test. The correlation can be either positive or negative. If Kearny Financial stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Kearny Financial stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Kearny Financial stock over time.
   Current vs Lagged Prices   
       Timeline  

Kearny Financial Lagged Returns

When evaluating Kearny Financial's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Kearny Financial stock have on its future price. Kearny Financial autocorrelation represents the degree of similarity between a given time horizon and a lagged version of the same horizon over the previous time interval. In other words, Kearny Financial autocorrelation shows the relationship between Kearny Financial stock current value and its past values and can show if there is a momentum factor associated with investing in Kearny Financial Corp.
   Regressed Prices   
       Timeline  

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.

Additional 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.