Big Lots Stock Forecast - 8 Period Moving Average
| BIG Stock | USD 3.70 0.04 1.09% |
The 8 Period Moving Average forecasted value of Big Lots on the next trading day is expected to be 3.55 with a mean absolute deviation of 0.46 and the sum of the absolute errors of 24.33. Big Stock Forecast is based on your current time horizon. Investors can use this forecasting interface to forecast Big Lots stock prices and determine the direction of Big Lots's future trends based on various well-known forecasting models. We recommend always using this module together with an analysis of Big Lots' historical fundamentals, such as revenue growth or operating cash flow patterns. Although Big Lots' naive historical forecasting may sometimes provide an important future outlook for the firm, we recommend always cross-verifying it against solid analysis of Big Lots' systematic risk associated with finding meaningful patterns of Big Lots fundamentals over time.
Check out Historical Fundamental Analysis of Big Lots to cross-verify your projections. Big |
Open Interest Against 2024-04-19 Big Option Contracts
Although open interest is a measure utilized in the options markets, it could be used to forecast Big Lots' spot prices because the number of available contracts in the market changes daily, and new contracts can be created or liquidated at will. Since open interest in Big Lots' options reflects these daily shifts, investors could use the patterns of these changes to develop long and short-term trading strategies for Big Lots stock based on available contracts left at the end of a trading day.
Please note that to derive more accurate forecasting about market movement from the current Big Lots' open interest, investors have to compare it to Big Lots' spot prices. As Ford's stock price increases, high open interest indicates that money is entering the market, and the market is strongly bullish. Conversely, if the price of Big Lots is decreasing and there is high open interest, that is a sign that the bearish trend will continue, and investors may react by taking short positions in Big. So, decreasing or low open interest during a bull market indicates that investors are becoming uncertain of the depth of the bullish trend, and a reversal in sentiment will likely follow.
Most investors in Big Lots cannot accurately predict what will happen the next trading day because, historically, stock markets tend to be unpredictable and even illogical. Modeling turbulent structures requires applying different statistical methods, techniques, and algorithms to find hidden data structures or patterns within the Big Lots' time series price data and predict how it will affect future prices. One of these methodologies is forecasting, which interprets Big Lots' price structures and extracts relationships that further increase the generated results' accuracy.
An 8-period moving average forecast model for Big Lots is based on an artificially constructed time series of Big Lots daily prices in which the value for a trading day is replaced by the mean of that value and the values for 8 of preceding and succeeding time periods. This model is best suited for price series data that changes over time. Big Lots 8 Period Moving Average Price Forecast For the 20th of April
Given 90 days horizon, the 8 Period Moving Average forecasted value of Big Lots on the next trading day is expected to be 3.55 with a mean absolute deviation of 0.46, mean absolute percentage error of 0.37, and the sum of the absolute errors of 24.33.Please note that although there have been many attempts to predict Big 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 Big Lots' next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Big Lots Stock Forecast Pattern
| Backtest Big Lots | Big Lots Price Prediction | Buy or Sell Advice |
Big Lots Forecasted Value
In the context of forecasting Big Lots' 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. Big Lots' downside and upside margins for the forecasting period are 0.04 and 10.51, respectively. We have considered Big Lots' 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 8 Period Moving Average forecasting method's relative quality and the estimations of the prediction error of Big Lots stock data series using in forecasting. Note that when a statistical model is used to represent Big Lots 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 | 102.4196 |
| Bias | Arithmetic mean of the errors | 0.2061 |
| MAD | Mean absolute deviation | 0.459 |
| MAPE | Mean absolute percentage error | 0.1099 |
| SAE | Sum of the absolute errors | 24.325 |
Predictive Modules for Big Lots
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Big Lots. 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.Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Big Lots' 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.
Other Forecasting Options for Big Lots
For every potential investor in Big, whether a beginner or expert, Big Lots' price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Big Stock price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Big. Basic forecasting techniques help filter out the noise by identifying Big Lots' price trends.Big Lots Related Equities
One of the popular trading techniques among algorithmic traders is to use market-neutral strategies where every trade hedges away some risk. Because there are two separate transactions required, even if one position performs unexpectedly, the other equity can make up some of the losses. Below are some of the equities that can be combined with Big Lots stock to make a market-neutral strategy. Peer analysis of Big Lots could also be used in its relative valuation, which is a method of valuing Big Lots by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
Big Lots 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 Big Lots' 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 Big Lots' current price.| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
Big Lots Market Strength Events
Market strength indicators help investors to evaluate how Big Lots stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Big Lots shares will generate the highest return on investment. By undertsting and applying Big Lots stock market strength indicators, traders can identify Big Lots entry and exit signals to maximize returns.
| Accumulation Distribution | 41017.71 | |||
| Daily Balance Of Power | 0.2353 | |||
| Rate Of Daily Change | 1.01 | |||
| Day Median Price | 3.69 | |||
| Day Typical Price | 3.69 | |||
| Price Action Indicator | 0.035 | |||
| Period Momentum Indicator | 0.04 |
Big Lots Risk Indicators
The analysis of Big Lots' 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 Big Lots' investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting big 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 | 4.84 | |||
| Standard Deviation | 6.86 | |||
| Variance | 47.11 |
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.
Pair Trading with Big Lots
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 Big Lots 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 Big Lots will appreciate offsetting losses from the drop in the long position's value.Moving against Big Stock
| 0.72 | F | Ford Motor Earnings Call This Week | PairCorr |
| 0.69 | BWMX | Betterware De Mexico Earnings Call This Week | PairCorr |
| 0.63 | BARK | Original Bark Financial Report 6th of June 2024 | PairCorr |
| 0.59 | BBY | Best Buy Financial Report 23rd of May 2024 | PairCorr |
The ability to find closely correlated positions to Big Lots could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Big Lots 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 Big Lots - 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 Big Lots to buy it.
The correlation of Big Lots 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 Big Lots moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Big Lots 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 Big Lots 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 Historical Fundamental Analysis of Big Lots to cross-verify your projections. For more detail on how to invest in Big Stock please use our How to Invest in Big Lots guide.You can also try the Price Exposure Probability module to analyze equity upside and downside potential for a given time horizon across multiple markets.
Complementary Tools for Big Stock analysis
When running Big Lots' price analysis, check to measure Big Lots' 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 Big Lots is operating at the current time. Most of Big Lots' value examination focuses on studying past and present price action to predict the probability of Big Lots' future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Big Lots' price. Additionally, you may evaluate how the addition of Big Lots to your portfolios can decrease your overall portfolio volatility.
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Is Big Lots' 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 Big Lots. If investors know Big 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 Big Lots 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 (0.37) | Earnings Share (15.91) | Revenue Per Share 161.965 | Quarterly Revenue Growth (0.07) | Return On Assets (0.07) |
The market value of Big Lots is measured differently than its book value, which is the value of Big that is recorded on the company's balance sheet. Investors also form their own opinion of Big Lots' value that differs from its market value or its book value, called intrinsic value, which is Big Lots' 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 Big Lots' market value can be influenced by many factors that don't directly affect Big Lots' 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 Big Lots' value and its price as these two are different measures arrived at by different means. Investors typically determine if Big Lots is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Big Lots' 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.