Miller Short Long Term Debt Total from 2010 to 2024
| MLR Stock | USD 67.25 0.42 0.63% |
Short and Long Term Debt Total | First Reported 1994-06-30 | Previous Quarter 70.7 M | Current Value 65.6 M | Quarterly Volatility 42.9 M |
Check Miller Industries financial statements over time to gain insight into future company performance. You can evaluate financial statements to find patterns among Miller Industries' main balance sheet or income statement drivers, such as Depreciation And Amortization of 7.2 M, Interest Expense of 4.3 M or Total Revenue of 1.2 B, as well as many indicators such as Price To Sales Ratio of 0.64, Dividend Yield of 0.0271 or PTB Ratio of 1.86. Miller financial statements analysis is a perfect complement when working with Miller Industries Valuation or Volatility modules.
Miller | Short Long Term Debt Total |
Latest Miller Industries' Short Long Term Debt Total Growth Pattern
Below is the plot of the Short Long Term Debt Total of Miller Industries over the last few years. It is Miller Industries' Short and Long Term Debt Total historical data analysis aims to capture in quantitative terms the overall pattern of either growth or decline in Miller Industries' overall financial position and show how it may be relating to other accounts over time.
| Short Long Term Debt Total | 10 Years Trend |
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Short Long Term Debt Total |
| Timeline |
Miller Short Long Term Debt Total Regression Statistics
| Arithmetic Mean | 15,577,553 | |
| Geometric Mean | 4,675,779 | |
| Coefficient Of Variation | 141.39 | |
| Mean Deviation | 16,550,545 | |
| Median | 5,000,000 | |
| Standard Deviation | 22,025,511 | |
| Sample Variance | 485.1T | |
| Range | 63.9M | |
| R-Value | 0.72 | |
| Mean Square Error | 251.3T | |
| R-Squared | 0.52 | |
| Significance | 0 | |
| Slope | 3,547,854 | |
| Total Sum of Squares | 6791.7T |
Miller Short Long Term Debt Total History
About Miller Industries Financial Statements
Miller Industries shareholders use historical fundamental indicators, such as Short Long Term Debt Total, to determine how well the company is positioned to perform in the future. Although Miller Industries investors may analyze each financial statement separately, they are all interrelated. The changes in Miller Industries' assets and liabilities, for example, are also reflected in the revenues and expenses on on Miller Industries' 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 | ||
| Short and Long Term Debt Total | 60.8 M | 63.9 M |
Pair Trading with Miller Industries
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 Miller Industries 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 Miller Industries will appreciate offsetting losses from the drop in the long position's value.Moving together with Miller Stock
Moving against Miller Stock
| 0.8 | RUN | Sunrun Inc | PairCorr |
| 0.72 | CVGI | Commercial Vehicle | PairCorr |
| 0.63 | WPRT | Westport Fuel Systems | PairCorr |
| 0.62 | EFSH | 1847 Holdings LLC | PairCorr |
| 0.58 | PLOW | Douglas Dynamics | PairCorr |
The ability to find closely correlated positions to Miller Industries could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Miller Industries 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 Miller Industries - 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 Miller Industries to buy it.
The correlation of Miller Industries 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 Miller Industries moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Miller Industries 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 Miller Industries 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 Miller Stock Analysis
When running Miller Industries' price analysis, check to measure Miller Industries' 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 Miller Industries is operating at the current time. Most of Miller Industries' value examination focuses on studying past and present price action to predict the probability of Miller Industries' future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Miller Industries' price. Additionally, you may evaluate how the addition of Miller Industries to your portfolios can decrease your overall portfolio volatility.