Columbia Financial Stock Forecast - Simple Moving Average
CLBK Stock | USD 17.40 0.13 0.75% |
The Simple Moving Average forecasted value of Columbia Financial on the next trading day is expected to be 17.40 with a mean absolute deviation of 0.29 and the sum of the absolute errors of 17.36. Columbia Stock Forecast is based on your current time horizon. Although Columbia Financial's naive historical forecasting may sometimes provide an important future outlook for the firm, we recommend always cross-verifying it against solid analysis of Columbia Financial's systematic risk associated with finding meaningful patterns of Columbia Financial fundamentals over time.
Columbia |
Columbia Financial Simple Moving Average Price Forecast For the 13th of December 2024
Given 90 days horizon, the Simple Moving Average forecasted value of Columbia Financial on the next trading day is expected to be 17.40 with a mean absolute deviation of 0.29, mean absolute percentage error of 0.17, and the sum of the absolute errors of 17.36.Please note that although there have been many attempts to predict Columbia Stock prices using its time series forecasting, we generally do not recommend using it to place bets in the real market. The most commonly used models for forecasting predictions are the autoregressive models, which specify that Columbia Financial's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Columbia Financial Stock Forecast Pattern
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Columbia Financial Forecasted Value
In the context of forecasting Columbia Financial's Stock value on the next trading day, we examine the predictive performance of the model to find good statistically significant boundaries of downside and upside scenarios. Columbia Financial's downside and upside margins for the forecasting period are 15.31 and 19.49, respectively. We have considered Columbia Financial's daily market price to evaluate the above model's predictive performance. Remember, however, there is no scientific proof or empirical evidence that traditional linear or nonlinear forecasting models outperform artificial intelligence and frequency domain models to provide accurate forecasts consistently.
Model Predictive Factors
The below table displays some essential indicators generated by the model showing the Simple Moving Average forecasting method's relative quality and the estimations of the prediction error of Columbia Financial stock data series using in forecasting. Note that when a statistical model is used to represent Columbia Financial stock, the representation will rarely be exact; so some information will be lost using the model to explain the process. AIC estimates the relative amount of information lost by a given model: the less information a model loses, the higher its quality.AIC | Akaike Information Criteria | 112.6509 |
Bias | Arithmetic mean of the errors | 0.0097 |
MAD | Mean absolute deviation | 0.2942 |
MAPE | Mean absolute percentage error | 0.0167 |
SAE | Sum of the absolute errors | 17.36 |
Predictive Modules for Columbia Financial
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Columbia Financial. Regardless of method or technology, however, to accurately forecast the stock market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the stock market accurately is still an essential part of the overall investment decision process. Using different forecasting techniques and comparing the results might improve your chances of accuracy even though unexpected events may often change the market sentiment and impact your forecasting results.Other Forecasting Options for Columbia Financial
For every potential investor in Columbia, whether a beginner or expert, Columbia Financial's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Columbia Stock price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Columbia. Basic forecasting techniques help filter out the noise by identifying Columbia Financial's price trends.View Columbia Financial Related Equities
Risk & Return | Correlation |
Columbia Financial Technical and Predictive Analytics
The stock market is financially volatile. Despite the volatility, there exist limitless possibilities of gaining profits and building passive income portfolios. With the complexity of Columbia Financial's price movements, a comprehensive understanding of forecasting methods that an investor can rely on to make the right move is invaluable. These methods predict trends that assist an investor in predicting the movement of Columbia Financial's current price.Cycle Indicators | ||
Math Operators | ||
Math Transform | ||
Momentum Indicators | ||
Overlap Studies | ||
Pattern Recognition | ||
Price Transform | ||
Statistic Functions | ||
Volatility Indicators | ||
Volume Indicators |
Columbia Financial Market Strength Events
Market strength indicators help investors to evaluate how Columbia Financial stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Columbia Financial shares will generate the highest return on investment. By undertsting and applying Columbia Financial stock market strength indicators, traders can identify Columbia Financial entry and exit signals to maximize returns.
Columbia Financial Risk Indicators
The analysis of Columbia Financial's basic risk indicators is one of the essential steps in accurately forecasting its future price. The process involves identifying the amount of risk involved in Columbia Financial's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting columbia stock prices, we also provide a set of basic risk indicators that can assist in the individual investment decision or help in hedging the risk of your existing portfolios.
Mean Deviation | 1.5 | |||
Semi Deviation | 1.8 | |||
Standard Deviation | 2.12 | |||
Variance | 4.51 | |||
Downside Variance | 3.55 | |||
Semi Variance | 3.26 | |||
Expected Short fall | (1.52) |
Please note, the risk measures we provide can be used independently or collectively to perform a risk assessment. When comparing two potential investments, we recommend comparing similar equities with homogenous growth potential and valuation from related markets to determine which investment holds the most risk.
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Is Regional Banks 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 Columbia Financial. 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 Financial 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 (0.33) | Earnings Share 0.15 | Revenue Per Share 1.977 | Quarterly Revenue Growth (0.08) | Return On Assets 0.0015 |
The market value of Columbia Financial 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 Financial's value that differs from its market value or its book value, called intrinsic value, which is Columbia Financial'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 Financial's market value can be influenced by many factors that don't directly affect Columbia Financial'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 Financial's value and its price as these two are different measures arrived at by different means. Investors typically determine if Columbia Financial is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Columbia Financial'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.