Fortune Brands Innovations Stock Market Value
| FBIN Stock | 80.96 4.46 5.83% |
| Symbol | Fortune |
Fortune Brands Innov Price To Book Ratio
Is Building Products 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 Fortune Brands. If investors know Fortune 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 Fortune Brands 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 0.019 | Dividend Share 0.95 | Earnings Share 3.55 | Revenue Per Share 37.269 | Quarterly Revenue Growth (0.08) |
The market value of Fortune Brands Innov is measured differently than its book value, which is the value of Fortune that is recorded on the company's balance sheet. Investors also form their own opinion of Fortune Brands' value that differs from its market value or its book value, called intrinsic value, which is Fortune Brands' 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 Fortune Brands' market value can be influenced by many factors that don't directly affect Fortune Brands' 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 Fortune Brands' value and its price as these two are different measures arrived at by different means. Investors typically determine if Fortune Brands is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Fortune Brands' 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.
Fortune Brands '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 Fortune Brands' 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 Fortune Brands.
| 10/27/2024 |
| 11/26/2024 |
If you would invest 0.00 in Fortune Brands on October 27, 2024 and sell it all today you would earn a total of 0.00 from holding Fortune Brands Innovations or generate 0.0% return on investment in Fortune Brands over 30 days. Fortune Brands is related to or competes with Trex, Gibraltar Industries, Travis Perkins, Janus International, Interface, Aspen Aerogels, and AAON. Fortune Brands is entity of United States More
Fortune Brands 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 Fortune Brands' 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 Fortune Brands Innovations upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.09) | |||
| Maximum Drawdown | 10.07 | |||
| Value At Risk | (2.72) | |||
| Potential Upside | 2.51 |
Fortune Brands Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Fortune Brands' investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Fortune Brands' standard deviation. In reality, there are many statistical measures that can use Fortune Brands historical prices to predict the future Fortune Brands' volatility.| Risk Adjusted Performance | (0) | |||
| Jensen Alpha | (0.12) | |||
| Total Risk Alpha | (0.29) | |||
| Treynor Ratio | (0.03) |
Fortune Brands Innov Backtested Returns
As of now, Fortune Stock is very steady. Fortune Brands Innov secures Sharpe Ratio (or Efficiency) of 0.0341, which denotes the company had a 0.0341% return per unit of risk over the last 3 months. We have found twenty-three technical indicators for Fortune Brands Innovations, which you can use to evaluate the volatility of the firm. Please confirm Fortune Brands' Variance of 2.79, mean deviation of 1.29, and Standard Deviation of 1.67 to check if the risk estimate we provide is consistent with the expected return of 0.0605%. Fortune Brands has a performance score of 2 on a scale of 0 to 100. The firm shows a Beta (market volatility) of 0.8, which means possible diversification benefits within a given portfolio. As returns on the market increase, Fortune Brands' returns are expected to increase less than the market. However, during the bear market, the loss of holding Fortune Brands is expected to be smaller as well. Fortune Brands Innov right now shows a risk of 1.77%. Please confirm Fortune Brands Innov skewness, as well as the relationship between the rate of daily change and period momentum indicator , to decide if Fortune Brands Innov will be following its price patterns.
Auto-correlation | -0.46 |
Modest reverse predictability
Fortune Brands Innovations has modest reverse predictability. Overlapping area represents the amount of predictability between Fortune Brands time series from 27th of October 2024 to 11th of November 2024 and 11th of November 2024 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 Fortune Brands Innov price movement. The serial correlation of -0.46 indicates that about 46.0% of current Fortune Brands price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.46 | |
| Spearman Rank Test | -0.18 | |
| Residual Average | 0.0 | |
| Price Variance | 4.44 |
Fortune Brands Innov lagged returns against current returns
Autocorrelation, which is Fortune Brands 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 Fortune Brands' stock expected returns. We can calculate the autocorrelation of Fortune Brands returns to help us make a trade decision. For example, suppose you find that Fortune Brands 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 |
Fortune Brands 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 Fortune Brands stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Fortune Brands stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Fortune Brands stock over time.
Current vs Lagged Prices |
| Timeline |
Fortune Brands Lagged Returns
When evaluating Fortune Brands' market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Fortune Brands stock have on its future price. Fortune Brands 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, Fortune Brands autocorrelation shows the relationship between Fortune Brands stock current value and its past values and can show if there is a momentum factor associated with investing in Fortune Brands Innovations.
Regressed Prices |
| Timeline |
Pair Trading with Fortune Brands
One of the main advantages of trading using pair correlations is that every trade hedges away some risk. Because there are two separate transactions required, even if Fortune Brands position performs unexpectedly, the other equity can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in Fortune Brands will appreciate offsetting losses from the drop in the long position's value.Moving against Fortune Stock
| 0.44 | AIRJ | Montana Technologies Symbol Change | PairCorr |
| 0.4 | AIRJW | Montana Technologies Symbol Change | PairCorr |
The ability to find closely correlated positions to Fortune Brands could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Fortune Brands when you sell it. If you don't do this, your portfolio allocation will be skewed against your target asset allocation. So, investors can't just sell and buy back Fortune Brands - that would be a violation of the tax code under the "wash sale" rule, and this is why you need to find a similar enough asset and use the proceeds from selling Fortune Brands Innovations to buy it.
The correlation of Fortune Brands is a statistical measure of how it moves in relation to other instruments. This measure is expressed in what is known as the correlation coefficient, which ranges between -1 and +1. A perfect positive correlation (i.e., a correlation coefficient of +1) implies that as Fortune Brands moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Fortune Brands Innov moves in either direction, the perfectly negatively correlated security will move in the opposite direction. If the correlation is 0, the equities are not correlated; they are entirely random. A correlation greater than 0.8 is generally described as strong, whereas a correlation less than 0.5 is generally considered weak.
Correlation analysis and pair trading evaluation for Fortune Brands can also be used as hedging techniques within a particular sector or industry or even over random equities to generate a better risk-adjusted return on your portfolios.Check out Fortune Brands Correlation, Fortune Brands Volatility and Fortune Brands Alpha and Beta module to complement your research on Fortune Brands. You can also try the Competition Analyzer module to analyze and compare many basic indicators for a group of related or unrelated entities.
Fortune Brands 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.