Nn Inc Stock Market Value
| NNBR Stock | USD 3.95 0.01 0.25% |
| Symbol | NN |
NN Inc Price To Book Ratio
Is Industrial Machinery & Supplies & Components 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 NN. If investors know NN 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 NN listed above have to be considered, but the key to understanding future value is determining which factors weigh more heavily than others.
Earnings Share (1.10) | Revenue Per Share 9.733 | Quarterly Revenue Growth (0.09) | Return On Assets (0.02) | Return On Equity (0.18) |
The market value of NN Inc is measured differently than its book value, which is the value of NN that is recorded on the company's balance sheet. Investors also form their own opinion of NN's value that differs from its market value or its book value, called intrinsic value, which is NN'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 NN's market value can be influenced by many factors that don't directly affect NN'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 NN's value and its price as these two are different measures arrived at by different means. Investors typically determine if NN is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, NN'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.
NN '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 NN'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 NN.
| 10/27/2024 |
| 11/26/2024 |
If you would invest 0.00 in NN on October 27, 2024 and sell it all today you would earn a total of 0.00 from holding NN Inc or generate 0.0% return on investment in NN over 30 days. NN is related to or competes with Steel Partners, Compass Diversified, Brookfield Business, Matthews International, Tejon Ranch, Mammoth Energy, and Griffon. NN, Inc., a diversified industrial company, designs, manufactures, and sells high-precision components and assemblies More
NN 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 NN'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 NN Inc upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 4.63 | |||
| Information Ratio | 0.008 | |||
| Maximum Drawdown | 26.86 | |||
| Value At Risk | (4.86) | |||
| Potential Upside | 5.59 |
NN Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for NN's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as NN's standard deviation. In reality, there are many statistical measures that can use NN historical prices to predict the future NN's volatility.| Risk Adjusted Performance | 0.0398 | |||
| Jensen Alpha | (0.13) | |||
| Total Risk Alpha | (0.46) | |||
| Sortino Ratio | 0.0068 | |||
| Treynor Ratio | 0.0642 |
NN Inc Backtested Returns
Currently, NN Inc is unstable. NN Inc retains Efficiency (Sharpe Ratio) of 0.0246, which conveys that the firm had a 0.0246% return per unit of price deviation over the last 3 months. We have found twenty-nine technical indicators for NN, which you can use to evaluate the volatility of the firm. Please verify NN's Market Risk Adjusted Performance of 0.0742, mean deviation of 2.51, and Standard Deviation of 3.92 to check out if the risk estimate we provide is consistent with the expected return of 0.0974%. NN has a performance score of 1 on a scale of 0 to 100. The company owns a Beta (Systematic Risk) of 2.37, which conveys a somewhat significant risk relative to the market. As the market goes up, the company is expected to outperform it. However, if the market returns are negative, NN will likely underperform. NN Inc today owns a risk of 3.95%. Please verify NN Inc standard deviation, expected short fall, relative strength index, as well as the relationship between the maximum drawdown and rate of daily change , to decide if NN Inc will be following its current price history.
Auto-correlation | -0.58 |
Good reverse predictability
NN Inc has good reverse predictability. Overlapping area represents the amount of predictability between NN 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 NN Inc price movement. The serial correlation of -0.58 indicates that roughly 58.0% of current NN price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.58 | |
| Spearman Rank Test | -0.27 | |
| Residual Average | 0.0 | |
| Price Variance | 0.02 |
NN Inc lagged returns against current returns
Autocorrelation, which is NN 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 NN's stock expected returns. We can calculate the autocorrelation of NN returns to help us make a trade decision. For example, suppose you find that NN 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 |
NN 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 NN stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if NN stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in NN stock over time.
Current vs Lagged Prices |
| Timeline |
NN Lagged Returns
When evaluating NN's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of NN stock have on its future price. NN 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, NN autocorrelation shows the relationship between NN stock current value and its past values and can show if there is a momentum factor associated with investing in NN Inc.
Regressed Prices |
| Timeline |
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
| 0.49 | VSTE | Vast Renewables Buyout Trend | PairCorr |
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.