Standard Cash Flow To Debt Ratio from 2010 to 2024
| SMP Stock | USD 33.14 0.97 3.02% |
Cash Flow To Debt Ratio | First Reported 2010-12-31 | Previous Quarter 0.9234945 | Current Value 0.67 | Quarterly Volatility 2.30756943 |
Check Standard financial statements over time to gain insight into future company performance. You can evaluate financial statements to find patterns among Standard's main balance sheet or income statement drivers, such as Depreciation And Amortization of 17.9 M, Interest Expense of 14 M or Total Revenue of 850.7 M, as well as many indicators such as Price To Sales Ratio of 0.42, Dividend Yield of 0.0273 or PTB Ratio of 1.14. Standard financial statements analysis is a perfect complement when working with Standard Valuation or Volatility modules.
Standard | Cash Flow To Debt Ratio |
Latest Standard's Cash Flow To Debt Ratio Growth Pattern
Below is the plot of the Cash Flow To Debt Ratio of Standard Motor Products over the last few years. It is Standard's Cash Flow To Debt Ratio historical data analysis aims to capture in quantitative terms the overall pattern of either growth or decline in Standard's overall financial position and show how it may be relating to other accounts over time.
| Cash Flow To Debt Ratio | 10 Years Trend |
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Cash Flow To Debt Ratio |
| Timeline |
Standard Cash Flow To Debt Ratio Regression Statistics
| Arithmetic Mean | 1.69 | |
| Geometric Mean | 1.03 | |
| Coefficient Of Variation | 136.30 | |
| Mean Deviation | 1.27 | |
| Median | 1.05 | |
| Standard Deviation | 2.31 | |
| Sample Variance | 5.32 | |
| Range | 9.6958 | |
| R-Value | 0.07 | |
| Mean Square Error | 5.70 | |
| R-Squared | 0.01 | |
| Significance | 0.79 | |
| Slope | 0.04 | |
| Total Sum of Squares | 74.55 |
Standard Cash Flow To Debt Ratio History
About Standard Financial Statements
Standard shareholders use historical fundamental indicators, such as Cash Flow To Debt Ratio, to determine how well the company is positioned to perform in the future. Although Standard investors may analyze each financial statement separately, they are all interrelated. The changes in Standard's assets and liabilities, for example, are also reflected in the revenues and expenses on on Standard'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 | ||
| Cash Flow To Debt Ratio | 0.92 | 0.67 |
Pair Trading with Standard
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 Standard 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 Standard will appreciate offsetting losses from the drop in the long position's value.Moving against Standard Stock
The ability to find closely correlated positions to Standard could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Standard 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 Standard - 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 Standard Motor Products to buy it.
The correlation of Standard 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 Standard moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Standard Motor Products 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 Standard 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 Standard Stock Analysis
When running Standard's price analysis, check to measure Standard'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 Standard is operating at the current time. Most of Standard's value examination focuses on studying past and present price action to predict the probability of Standard's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Standard's price. Additionally, you may evaluate how the addition of Standard to your portfolios can decrease your overall portfolio volatility.