Kellanova Stock Market Value
| K Stock | USD 81.11 0.06 0.07% |
| Symbol | Kellanova |
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.
| 12/07/2022 |
| 11/26/2024 |
If you would invest 0.00 in Kellanova on December 7, 2022 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 720 days. Kellanova is related to or competes with Bellring Brands, Ingredion Incorporated, Nomad Foods, and Simply Good. 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.
| Downside Deviation | 0.1915 | |||
| Information Ratio | (0.57) | |||
| Maximum Drawdown | 0.9298 | |||
| Value At Risk | (0.35) | |||
| Potential Upside | 0.3721 |
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.| Risk Adjusted Performance | 0.0533 | |||
| Jensen Alpha | 0.0027 | |||
| Total Risk Alpha | (0.02) | |||
| Sortino Ratio | (0.57) | |||
| Treynor Ratio | 0.1608 |
Kellanova Backtested Returns
As of now, Kellanova Stock is very steady. Kellanova 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 Kellanova, which you can use to evaluate the volatility of the firm. Please verify Kellanova's Downside Deviation of 0.1915, risk adjusted performance of 0.0533, and Mean Deviation of 0.1421 to check out if the risk estimate we provide is consistent with the expected return of 0.0211%. Kellanova has a performance score of 8 on a scale of 0 to 100. The company secures a Beta (Market Risk) of 0.0675, 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 | -0.87 |
Excellent reverse predictability
Kellanova has excellent reverse predictability. Overlapping area represents the amount of predictability between Kellanova time series from 7th of December 2022 to 2nd of December 2023 and 2nd of December 2023 to 26th 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 -0.87 indicates that approximately 87.0% of current Kellanova price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.87 | |
| Spearman Rank Test | -0.68 | |
| Residual Average | 0.0 | |
| Price Variance | 133.21 |
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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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.