Kellanova Stock Market Value

K Stock  USD 81.29  0.14  0.17%   
Kellanova's market value is the price at which a share of Kellanova trades on a public exchange. It measures the collective expectations of Kellanova investors about its performance. Kellanova is selling for 81.29 as of the 30th of November 2024. This is a 0.17% up since the beginning of the trading day. The stock's last reported lowest price was 81.1.
With this module, you can estimate the performance of a buy and hold strategy of Kellanova and determine expected loss or profit from investing in Kellanova over a given investment horizon. Check out Kellanova Correlation, Kellanova Volatility and Kellanova Alpha and Beta module to complement your research on Kellanova.
For more information on how to buy Kellanova Stock please use our How to buy in Kellanova Stock guide.
Symbol

Kellanova Price To Book Ratio

Is Packaged Foods & Meats 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 Kellanova. If investors know Kellanova 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 Kellanova 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
0.348
Dividend Share
2.25
Earnings Share
2.99
Revenue Per Share
37.415
Quarterly Revenue Growth
(0.01)
The market value of Kellanova is measured differently than its book value, which is the value of Kellanova that is recorded on the company's balance sheet. Investors also form their own opinion of Kellanova's value that differs from its market value or its book value, called intrinsic value, which is Kellanova'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 Kellanova's market value can be influenced by many factors that don't directly affect Kellanova'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 Kellanova's value and its price as these two are different measures arrived at by different means. Investors typically determine if Kellanova is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Kellanova'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.

Kellanova '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 Kellanova'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 Kellanova.
0.00
06/03/2024
No Change 0.00  0.0 
In 5 months and 30 days
11/30/2024
0.00
If you would invest  0.00  in Kellanova on June 3, 2024 and sell it all today you would earn a total of 0.00 from holding Kellanova or generate 0.0% return on investment in Kellanova over 180 days. Kellanova is related to or competes with Campbell Soup, ConAgra Foods, Hormel Foods, Kraft Heinz, General Mills, JM Smucker, and Lamb Weston. Kellogg Company, together with its subsidiaries, manufactures and markets snacks and convenience foods More

Kellanova 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 Kellanova'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 Kellanova upside and downside potential and time the market with a certain degree of confidence.

Kellanova Market Risk Indicators

Today, many novice investors tend to focus exclusively on investment returns with little concern for Kellanova's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Kellanova's standard deviation. In reality, there are many statistical measures that can use Kellanova historical prices to predict the future Kellanova's volatility.
Hype
Prediction
LowEstimatedHigh
81.1081.2981.48
Details
Intrinsic
Valuation
LowRealHigh
71.4771.6689.42
Details
Naive
Forecast
LowNextHigh
81.3481.5481.73
Details
19 Analysts
Consensus
LowTargetHigh
56.7762.3869.24
Details

Kellanova Backtested Returns

As of now, Kellanova Stock is very steady. Kellanova has Sharpe Ratio of 0.12, which conveys that the firm had a 0.12% return per unit of risk over the last 3 months. We have found twenty-nine technical indicators for Kellanova, which you can use to evaluate the volatility of the firm. Please verify Kellanova's Mean Deviation of 0.1404, risk adjusted performance of 0.064, and Downside Deviation of 0.1875 to check out if the risk estimate we provide is consistent with the expected return of 0.0224%. Kellanova has a performance score of 9 on a scale of 0 to 100. The company secures a Beta (Market Risk) of 0.0636, which conveys not very significant fluctuations relative to the market. As returns on the market increase, Kellanova's returns are expected to increase less than the market. However, during the bear market, the loss of holding Kellanova is expected to be smaller as well. Kellanova right now secures a risk of 0.19%. Please verify Kellanova semi variance, and the relationship between the treynor ratio and daily balance of power , to decide if Kellanova will be following its current price movements.

Auto-correlation

    
  0.42  

Average predictability

Kellanova has average predictability. Overlapping area represents the amount of predictability between Kellanova time series from 3rd of June 2024 to 1st of September 2024 and 1st of September 2024 to 30th 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 Kellanova price movement. The serial correlation of 0.42 indicates that just about 42.0% of current Kellanova price fluctuation can be explain by its past prices.
Correlation Coefficient0.42
Spearman Rank Test0.54
Residual Average0.0
Price Variance0.09

Kellanova lagged returns against current returns

Autocorrelation, which is Kellanova 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 Kellanova's stock expected returns. We can calculate the autocorrelation of Kellanova returns to help us make a trade decision. For example, suppose you find that Kellanova 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  

Kellanova 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 Kellanova stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Kellanova stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Kellanova stock over time.
   Current vs Lagged Prices   
       Timeline  

Kellanova Lagged Returns

When evaluating Kellanova's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Kellanova stock have on its future price. Kellanova 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, Kellanova autocorrelation shows the relationship between Kellanova stock current value and its past values and can show if there is a momentum factor associated with investing in Kellanova.
   Regressed Prices   
       Timeline  

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Check out Kellanova Correlation, Kellanova Volatility and Kellanova Alpha and Beta module to complement your research on Kellanova.
For more information on how to buy Kellanova Stock please use our How to buy in Kellanova Stock guide.
You can also try the Money Flow Index module to determine momentum by analyzing Money Flow Index and other technical indicators.
Kellanova technical stock analysis exercises models and trading practices based on price and volume transformations, such as the moving averages, relative strength index, regressions, price and return correlations, business cycles, stock market cycles, or different charting patterns.
A focus of Kellanova technical analysis is to determine if market prices reflect all relevant information impacting that market. A technical analyst looks at the history of Kellanova trading pattern rather than external drivers such as economic, fundamental, or social events. It is believed that price action tends to repeat itself due to investors' collective, patterned behavior. Hence technical analysis focuses on identifiable price trends and conditions. More Info...