NN Long Term Debt To Capitalization from 2010 to 2024
| NNBR Stock | USD 3.79 0.14 3.56% |
Long Term Debt To Capitalization | First Reported 2010-12-31 | Previous Quarter 0.42413891 | Current Value 0.36 | Quarterly Volatility 0.18505351 |
Check NN financial statements over time to gain insight into future company performance. You can evaluate financial statements to find patterns among NN's main balance sheet or income statement drivers, such as Depreciation And Amortization of 28.3 M, Interest Expense of 14.4 M or Total Revenue of 386.8 M, as well as many indicators such as Price To Sales Ratio of 0.36, Dividend Yield of 0.0057 or PTB Ratio of 0.88. NN financial statements analysis is a perfect complement when working with NN Valuation or Volatility modules.
NN | Long Term Debt To Capitalization |
Latest NN's Long Term Debt To Capitalization Growth Pattern
Below is the plot of the Long Term Debt To Capitalization of NN Inc over the last few years. It is NN's Long Term Debt To Capitalization historical data analysis aims to capture in quantitative terms the overall pattern of either growth or decline in NN's overall financial position and show how it may be relating to other accounts over time.
| Long Term Debt To Capitalization | 10 Years Trend |
|
Long Term Debt To Capitalization |
| Timeline |
NN Long Term Debt To Capitalization Regression Statistics
| Arithmetic Mean | 0.49 | |
| Geometric Mean | 0.45 | |
| Coefficient Of Variation | 37.97 | |
| Mean Deviation | 0.16 | |
| Median | 0.42 | |
| Standard Deviation | 0.19 | |
| Sample Variance | 0.03 | |
| Range | 0.5762 | |
| R-Value | (0.12) | |
| Mean Square Error | 0.04 | |
| R-Squared | 0.01 | |
| Significance | 0.67 | |
| Slope | (0.01) | |
| Total Sum of Squares | 0.48 |
NN Long Term Debt To Capitalization History
About NN Financial Statements
NN shareholders use historical fundamental indicators, such as Long Term Debt To Capitalization, to determine how well the company is positioned to perform in the future. Although NN investors may analyze each financial statement separately, they are all interrelated. The changes in NN's assets and liabilities, for example, are also reflected in the revenues and expenses on on NN'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 | ||
| Long Term Debt To Capitalization | 0.42 | 0.36 |
Pair Trading with NN
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 NN 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 NN will appreciate offsetting losses from the drop in the long position's value.Moving against NN Stock
The ability to find closely correlated positions to NN could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace NN 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 NN - 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 NN Inc to buy it.
The correlation of NN 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 NN moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if NN Inc 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 NN 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 NN Stock Analysis
When running NN's price analysis, check to measure NN'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 NN is operating at the current time. Most of NN's value examination focuses on studying past and present price action to predict the probability of NN's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move NN's price. Additionally, you may evaluate how the addition of NN to your portfolios can decrease your overall portfolio volatility.