Big Lots Stock Market Value
| BIG Stock | USD 3.22 0.23 6.67% |
| Symbol | Big |
Big Lots Price To Book Ratio
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.
Big Lots '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 Big Lots' 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 Big Lots.
| 04/27/2022 |
| 04/16/2024 |
If you would invest 0.00 in Big Lots on April 27, 2022 and sell it all today you would earn a total of 0.00 from holding Big Lots or generate 0.0% return on investment in Big Lots over 720 days. Big Lots is related to or competes with BJs Wholesale, Dollar General, Costco Wholesale, Walmart, Dollar Tree, and Target. Big Lots, Inc., through its subsidiaries, operates as a home discount retailer in the United States More
Big Lots 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 Big Lots' 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 Big Lots upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.15) | |||
| Maximum Drawdown | 34.94 | |||
| Value At Risk | (7.14) | |||
| Potential Upside | 11.75 |
Big Lots Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Big Lots' investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Big Lots' standard deviation. In reality, there are many statistical measures that can use Big Lots historical prices to predict the future Big Lots' volatility.| Risk Adjusted Performance | (0.08) | |||
| Jensen Alpha | (1.15) | |||
| Total Risk Alpha | (1.51) | |||
| Treynor Ratio | (0.25) |
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.
Big Lots Backtested Returns
Big Lots secures Sharpe Ratio (or Efficiency) of -0.13, which signifies that the company had a -0.13% return per unit of standard deviation over the last 3 months. Big Lots exposes twenty-three different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please confirm Big Lots' risk adjusted performance of (0.08), and Mean Deviation of 4.72 to double-check the risk estimate we provide. The firm shows a Beta (market volatility) of 3.8, 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, Big Lots will likely underperform. Big Lots has an expected return of -0.93%. Please make sure to confirm Big Lots skewness, day typical price, and the relationship between the maximum drawdown and daily balance of power , to decide if Big Lots performance from the past will be repeated at some point in the near future.
Auto-correlation | 0.66 |
Good predictability
Big Lots has good predictability. Overlapping area represents the amount of predictability between Big Lots time series from 27th of April 2022 to 22nd of April 2023 and 22nd of April 2023 to 16th 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 Big Lots price movement. The serial correlation of 0.66 indicates that around 66.0% of current Big Lots price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.66 | |
| Spearman Rank Test | 0.64 | |
| Residual Average | 0.0 | |
| Price Variance | 3.71 |
Big Lots lagged returns against current returns
Autocorrelation, which is Big Lots 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 Big Lots' stock expected returns. We can calculate the autocorrelation of Big Lots returns to help us make a trade decision. For example, suppose you find that Big Lots 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 |
Big Lots 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 Big Lots stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Big Lots stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Big Lots stock over time.
Current vs Lagged Prices |
| Timeline |
Big Lots Lagged Returns
When evaluating Big Lots' market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Big Lots stock have on its future price. Big Lots 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, Big Lots autocorrelation shows the relationship between Big Lots stock current value and its past values and can show if there is a momentum factor associated with investing in Big Lots.
Regressed Prices |
| Timeline |
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 Big Lots 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, Big Lots' short interest history, or implied volatility extrapolated from Big Lots options trading.
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 together with Big Stock
| 0.79 | BQ | Boqii Holding Limited | PairCorr |
Moving against Big Stock
| 0.74 | EBAY | eBay Inc Financial Report 24th of April 2024 | PairCorr |
| 0.72 | DRVN | Driven Brands Holdings Financial Report 1st of May 2024 | PairCorr |
| 0.72 | AEO | American Eagle Outfitters Financial Report 22nd of May 2024 | PairCorr |
| 0.68 | AN | AutoNation Financial Report 18th of April 2024 | PairCorr |
| 0.66 | EDUC | Educational Development Report 9th 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 Big Lots Correlation, Big Lots Volatility and Big Lots Alpha and Beta module to complement your research on Big Lots. 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 CEOs Directory module to screen CEOs from public companies around the world.
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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Big Lots 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.