Sierra Short Long Term Debt Total from 2010 to 2024
| BSRR Stock | USD 32.38 0.01 0.03% |
Short and Long Term Debt Total | First Reported 1999-03-31 | Previous Quarter 313.1 M | Current Value 49.4 M | Quarterly Volatility 89.9 M |
Check Sierra Bancorp financial statements over time to gain insight into future company performance. You can evaluate financial statements to find patterns among Sierra Bancorp's main balance sheet or income statement drivers, such as Depreciation And Amortization of 3.4 M, Interest Expense of 53.3 M or Selling General Administrative of 64 M, as well as many indicators such as Price To Sales Ratio of 2.34, Dividend Yield of 0.0212 or PTB Ratio of 1.77. Sierra financial statements analysis is a perfect complement when working with Sierra Bancorp Valuation or Volatility modules.
Sierra | Short Long Term Debt Total |
Latest Sierra Bancorp's Short Long Term Debt Total Growth Pattern
Below is the plot of the Short Long Term Debt Total of Sierra Bancorp over the last few years. It is Sierra Bancorp's Short and Long Term Debt Total historical data analysis aims to capture in quantitative terms the overall pattern of either growth or decline in Sierra Bancorp's 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 |
Sierra Short Long Term Debt Total Regression Statistics
| Arithmetic Mean | 148,964,613 | |
| Geometric Mean | 97,772,896 | |
| Coefficient Of Variation | 97.55 | |
| Mean Deviation | 112,563,484 | |
| Median | 90,867,000 | |
| Standard Deviation | 145,318,658 | |
| Sample Variance | 21117.5T | |
| Range | 453.9M | |
| R-Value | 0.83 | |
| Mean Square Error | 7144.6T | |
| R-Squared | 0.69 | |
| Significance | 0.0001 | |
| Slope | 26,910,230 | |
| Total Sum of Squares | 295645.2T |
Sierra Short Long Term Debt Total History
About Sierra Bancorp Financial Statements
Sierra Bancorp 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 Sierra Bancorp investors may analyze each financial statement separately, they are all interrelated. The changes in Sierra Bancorp's assets and liabilities, for example, are also reflected in the revenues and expenses on on Sierra Bancorp'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 | ||
| Short and Long Term Debt Total | 445.5 M | 467.7 M |
Pair Trading with Sierra Bancorp
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 Sierra Bancorp 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 Sierra Bancorp will appreciate offsetting losses from the drop in the long position's value.Moving together with Sierra Stock
| 0.89 | AX | Axos Financial | PairCorr |
| 0.9 | BY | Byline Bancorp Fiscal Year End 23rd of January 2025 | PairCorr |
| 0.85 | PB | Prosperity Bancshares Fiscal Year End 22nd of January 2025 | PairCorr |
Moving against Sierra Stock
The ability to find closely correlated positions to Sierra Bancorp could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Sierra Bancorp 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 Sierra Bancorp - 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 Sierra Bancorp to buy it.
The correlation of Sierra Bancorp 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 Sierra Bancorp moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Sierra Bancorp 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 Sierra Bancorp 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 Sierra Stock Analysis
When running Sierra Bancorp's price analysis, check to measure Sierra Bancorp'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 Sierra Bancorp is operating at the current time. Most of Sierra Bancorp's value examination focuses on studying past and present price action to predict the probability of Sierra Bancorp's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Sierra Bancorp's price. Additionally, you may evaluate how the addition of Sierra Bancorp to your portfolios can decrease your overall portfolio volatility.