Columbia Banking System Stock Market Value
COLB Stock | USD 18.97 0.15 0.78% |
Symbol | Columbia |
Columbia Banking System Price To Book Ratio
Is Columbia Banking's industry 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 Columbia Banking. If investors know Columbia 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 Columbia Banking listed above have to be considered, but the key to understanding future value is determining which factors weigh more heavily than others.
Quarterly Earnings Growth (0.30) | Dividend Share 1.08 | Earnings Share 2.46 | Revenue Per Share 9.202 | Quarterly Revenue Growth 0.41 |
The market value of Columbia Banking System is measured differently than its book value, which is the value of Columbia that is recorded on the company's balance sheet. Investors also form their own opinion of Columbia Banking's value that differs from its market value or its book value, called intrinsic value, which is Columbia Banking'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 Columbia Banking's market value can be influenced by many factors that don't directly affect Columbia Banking'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 Columbia Banking's value and its price as these two are different measures arrived at by different means. Investors typically determine if Columbia Banking is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Columbia Banking'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.
Columbia Banking '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 Columbia Banking'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 Columbia Banking.
05/11/2022 |
| 04/30/2024 |
If you would invest 0.00 in Columbia Banking on May 11, 2022 and sell it all today you would earn a total of 0.00 from holding Columbia Banking System or generate 0.0% return on investment in Columbia Banking over 720 days. Columbia Banking is related to or competes with Glacier Bancorp, CVB Financial, Independent Bank, First Financial, First Interstate, Eagle Bancorp, and Capitol Federal. Columbia Banking System, Inc. operates as the bank holding company for Columbia State Bank that provides a range of bank... More
Columbia Banking 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 Columbia Banking'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 Columbia Banking System upside and downside potential and time the market with a certain degree of confidence.
Information Ratio | (0.13) | |||
Maximum Drawdown | 21.16 | |||
Value At Risk | (4.49) | |||
Potential Upside | 3.23 |
Columbia Banking Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Columbia Banking's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Columbia Banking's standard deviation. In reality, there are many statistical measures that can use Columbia Banking historical prices to predict the future Columbia Banking's volatility.Risk Adjusted Performance | (0.06) | |||
Jensen Alpha | (0.46) | |||
Total Risk Alpha | (0.79) | |||
Treynor Ratio | (0.28) |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Columbia Banking's price to converge to an average value over time is called mean reversion. However, historically, high market prices usually discourage investors that believe in mean reversion to invest, while low prices are viewed as an opportunity to buy.
Columbia Banking System Backtested Returns
Columbia Banking System secures Sharpe Ratio (or Efficiency) of -0.0203, which signifies that the company had a -0.0203% return per unit of risk over the last 3 months. Columbia Banking System exposes twenty-three different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please confirm Columbia Banking's Standard Deviation of 3.39, mean deviation of 2.02, and Risk Adjusted Performance of (0.06) to double-check the risk estimate we provide. The firm shows a Beta (market volatility) of 1.26, which signifies 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, Columbia Banking will likely underperform. Columbia Banking System has an expected return of -0.0434%. Please make sure to confirm Columbia Banking System treynor ratio, accumulation distribution, period momentum indicator, as well as the relationship between the potential upside and day median price , to decide if Columbia Banking System performance from the past will be repeated at some point in the near future.
Auto-correlation | 0.24 |
Weak predictability
Columbia Banking System has weak predictability. Overlapping area represents the amount of predictability between Columbia Banking time series from 11th of May 2022 to 6th of May 2023 and 6th of May 2023 to 30th of April 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 Columbia Banking System price movement. The serial correlation of 0.24 indicates that over 24.0% of current Columbia Banking price fluctuation can be explain by its past prices.
Correlation Coefficient | 0.24 | |
Spearman Rank Test | 0.17 | |
Residual Average | 0.0 | |
Price Variance | 5.35 |
Columbia Banking System lagged returns against current returns
Autocorrelation, which is Columbia Banking 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 Columbia Banking's stock expected returns. We can calculate the autocorrelation of Columbia Banking returns to help us make a trade decision. For example, suppose you find that Columbia Banking 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 |
Columbia Banking 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 Columbia Banking stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Columbia Banking stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Columbia Banking stock over time.
Current vs Lagged Prices |
Timeline |
Columbia Banking Lagged Returns
When evaluating Columbia Banking's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Columbia Banking stock have on its future price. Columbia Banking 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, Columbia Banking autocorrelation shows the relationship between Columbia Banking stock current value and its past values and can show if there is a momentum factor associated with investing in Columbia Banking System.
Regressed Prices |
Timeline |
Columbia Banking Investors Sentiment
The influence of Columbia Banking's investor sentiment on the probability of its price appreciation or decline could be a good factor in your decision-making process regarding taking a position in Columbia. The overall investor sentiment generally increases the direction of a stock movement in a one-year investment horizon. However, the impact of investor sentiment on the entire stock market does not have solid backing from leading economists and market statisticians.
Investor biases related to Columbia Banking's public news can be used to forecast risks associated with an investment in Columbia. The trend in average sentiment can be used to explain how an investor holding Columbia can time the market purely based on public headlines and social activities around Columbia Banking System. Please note that most equities that are difficult to arbitrage are affected by market sentiment the most.
Columbia Banking's market sentiment shows the aggregated news analyzed to detect positive and negative mentions from the text and comments. The data is normalized to provide daily scores for Columbia Banking's and other traded tickers. The bigger the bubble, the more accurate is the estimated score. Higher bars for a given day show more participation in the average Columbia Banking's news discussions. The higher the estimated score, the more favorable is the investor's outlook on Columbia Banking.
Some investors attempt to determine whether the market's mood is bullish or bearish by monitoring changes in market sentiment. Unlike more traditional methods such as technical analysis, investor sentiment usually refers to the aggregate attitude towards Columbia Banking in the overall investment community. So, suppose investors can accurately measure the market's sentiment. In that case, they can use it for their benefit. For example, some tools to gauge market sentiment could be utilized using contrarian indexes, Columbia Banking's short interest history, or implied volatility extrapolated from Columbia Banking options trading.
Pair Trading with Columbia Banking
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 Columbia Banking 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 Columbia Banking will appreciate offsetting losses from the drop in the long position's value.Moving together with Columbia Stock
0.8 | BY | Byline Bancorp Normal Trading | PairCorr |
Moving against Columbia Stock
0.44 | VBFC | Village Bank | PairCorr |
The ability to find closely correlated positions to Columbia Banking could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Columbia Banking 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 Columbia Banking - 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 Columbia Banking System to buy it.
The correlation of Columbia Banking 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 Columbia Banking moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Columbia Banking System 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 Columbia Banking 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.Check out Columbia Banking Correlation, Columbia Banking Volatility and Columbia Banking Alpha and Beta module to complement your research on Columbia Banking. You can also try the Idea Breakdown module to analyze constituents of all Macroaxis ideas. Macroaxis investment ideas are predefined, sector-focused investing themes.
Complementary Tools for Columbia Stock analysis
When running Columbia Banking's price analysis, check to measure Columbia Banking'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 Columbia Banking is operating at the current time. Most of Columbia Banking's value examination focuses on studying past and present price action to predict the probability of Columbia Banking's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Columbia Banking's price. Additionally, you may evaluate how the addition of Columbia Banking to your portfolios can decrease your overall portfolio volatility.
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Columbia Banking technical stock analysis exercises models and trading practices based on price and volume transformations, such as the moving averages, relative strength index, regressions, price and return correlations, business cycles, stock market cycles, or different charting patterns.