Forestar Change To Liabilities from 2010 to 2024
| FOR Stock | USD 26.11 0.88 3.26% |
Change To Liabilities | First Reported 2005-12-31 | Previous Quarter 0.0 | Current Value 5.6 M | Quarterly Volatility 14.4 M |
Check Forestar financial statements over time to gain insight into future company performance. You can evaluate financial statements to find patterns among Forestar's main balance sheet or income statement drivers, such as Depreciation And Amortization of 3.3 M, Interest Expense of 1.1 M or Total Revenue of 1.6 B, as well as many indicators such as Price To Sales Ratio of 8.11, Dividend Yield of 0.0277 or PTB Ratio of 1.53. Forestar financial statements analysis is a perfect complement when working with Forestar Valuation or Volatility modules.
Forestar | Change To Liabilities |
Latest Forestar's Change To Liabilities Growth Pattern
Below is the plot of the Change To Liabilities of Forestar Group over the last few years. It is Forestar's Change To Liabilities historical data analysis aims to capture in quantitative terms the overall pattern of either growth or decline in Forestar's overall financial position and show how it may be relating to other accounts over time.
| Change To Liabilities | 10 Years Trend |
|
Change To Liabilities |
| Timeline |
Forestar Change To Liabilities Regression Statistics
| Arithmetic Mean | 8,570,633 | |
| Geometric Mean | 17,139,515 | |
| Coefficient Of Variation | 443.77 | |
| Mean Deviation | 30,992,911 | |
| Median | (3,043,000) | |
| Standard Deviation | 38,034,140 | |
| Sample Variance | 1446.6T | |
| Range | 113.9M | |
| R-Value | 0.06 | |
| Mean Square Error | 1552.3T | |
| R-Squared | 0 | |
| Significance | 0.83 | |
| Slope | 506,955 | |
| Total Sum of Squares | 20252.3T |
Forestar Change To Liabilities History
About Forestar Financial Statements
Forestar shareholders use historical fundamental indicators, such as Change To Liabilities, to determine how well the company is positioned to perform in the future. Although Forestar investors may analyze each financial statement separately, they are all interrelated. The changes in Forestar's assets and liabilities, for example, are also reflected in the revenues and expenses on on Forestar's income statement. Understanding these patterns can help investors time the market effectively. Please read more on our fundamental analysis page.
| Last Reported | Projected for Next Year | ||
| Change To Liabilities | -31.5 M | -29.9 M |
Pair Trading with Forestar
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 Forestar 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 Forestar will appreciate offsetting losses from the drop in the long position's value.Moving together with Forestar Stock
Moving against Forestar Stock
| 0.83 | IRS | IRSA Inversiones Y | PairCorr |
| 0.8 | CBL | CBL Associates Properties | PairCorr |
| 0.74 | ZG | Zillow Group | PairCorr |
| 0.7 | LRE | Lead Real Estate | PairCorr |
| 0.69 | OZ | Belpointe PREP LLC | PairCorr |
The ability to find closely correlated positions to Forestar could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Forestar 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 Forestar - 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 Forestar Group to buy it.
The correlation of Forestar 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 Forestar moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Forestar Group 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 Forestar 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.Additional Tools for Forestar Stock Analysis
When running Forestar's price analysis, check to measure Forestar'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 Forestar is operating at the current time. Most of Forestar's value examination focuses on studying past and present price action to predict the probability of Forestar's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Forestar's price. Additionally, you may evaluate how the addition of Forestar to your portfolios can decrease your overall portfolio volatility.