Ampco Dividend Yield from 2010 to 2025
| AP Stock | USD 2.50 0.05 2.04% |
Dividend Yield | First Reported 2010-12-31 | Previous Quarter 0.000816 | Current Value 0.000776 | Quarterly Volatility 0.02160213 |
Check Ampco Pittsburgh financial statements over time to gain insight into future company performance. You can evaluate financial statements to find patterns among Ampco Pittsburgh's main balance sheet or income statement drivers, such as Depreciation And Amortization of 11.7 M, Interest Expense of 8.8 M or Selling General Administrative of 42.4 M, as well as many indicators such as Price To Sales Ratio of 0.14, Dividend Yield of 8.0E-4 or PTB Ratio of 0.79. Ampco financial statements analysis is a perfect complement when working with Ampco Pittsburgh Valuation or Volatility modules.
Ampco | Dividend Yield |
Latest Ampco Pittsburgh's Dividend Yield Growth Pattern
Below is the plot of the Dividend Yield of Ampco Pittsburgh over the last few years. Dividend Yield is Ampco Pittsburgh dividend as a percentage of Ampco Pittsburgh stock price. Ampco Pittsburgh dividend yield is a measure of Ampco Pittsburgh stock productivity, which can be interpreted as interest rate earned on an Ampco Pittsburgh investment. It is a financial ratio that shows how much a company pays out in dividends each year relative to its stock price, calculated as annual dividends per share divided by price per share. Ampco Pittsburgh's Dividend Yield historical data analysis aims to capture in quantitative terms the overall pattern of either growth or decline in Ampco Pittsburgh's overall financial position and show how it may be relating to other accounts over time.
| Dividend Yield | 10 Years Trend |
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Dividend Yield |
| Timeline |
Ampco Dividend Yield Regression Statistics
| Arithmetic Mean | 0.02 | |
| Geometric Mean | 0.01 | |
| Coefficient Of Variation | 113.49 | |
| Mean Deviation | 0.02 | |
| Median | 0.01 | |
| Standard Deviation | 0.02 | |
| Sample Variance | 0.0005 | |
| Range | 0.0694 | |
| R-Value | (0.79) | |
| Mean Square Error | 0.0002 | |
| R-Squared | 0.63 | |
| Significance | 0.0002 | |
| Slope | (0) | |
| Total Sum of Squares | 0.01 |
Ampco Dividend Yield History
About Ampco Pittsburgh Financial Statements
Ampco Pittsburgh shareholders use historical fundamental indicators, such as Dividend Yield, to determine how well the company is positioned to perform in the future. Although Ampco Pittsburgh investors may analyze each financial statement separately, they are all interrelated. The changes in Ampco Pittsburgh's assets and liabilities, for example, are also reflected in the revenues and expenses on on Ampco Pittsburgh'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 |
Pair Trading with Ampco Pittsburgh
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 Ampco Pittsburgh 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 Ampco Pittsburgh will appreciate offsetting losses from the drop in the long position's value.Moving against Ampco Stock
| 0.53 | NWPX | Northwest Pipe | PairCorr |
| 0.47 | MLI | Mueller Industries Earnings Call Tomorrow | PairCorr |
| 0.43 | RYI | Ryerson Holding Corp | PairCorr |
| 0.43 | BV | BrightView Holdings | PairCorr |
| 0.41 | MEC | Mayville Engineering | PairCorr |
The ability to find closely correlated positions to Ampco Pittsburgh could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Ampco Pittsburgh 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 Ampco Pittsburgh - 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 Ampco Pittsburgh to buy it.
The correlation of Ampco Pittsburgh 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 Ampco Pittsburgh moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Ampco Pittsburgh 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 Ampco Pittsburgh 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 Ampco Stock Analysis
When running Ampco Pittsburgh's price analysis, check to measure Ampco Pittsburgh'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 Ampco Pittsburgh is operating at the current time. Most of Ampco Pittsburgh's value examination focuses on studying past and present price action to predict the probability of Ampco Pittsburgh's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Ampco Pittsburgh's price. Additionally, you may evaluate how the addition of Ampco Pittsburgh to your portfolios can decrease your overall portfolio volatility.