Buzzfeed Stock Market Value
BZFD Stock | USD 0.40 0.01 2.56% |
Symbol | BuzzFeed |
Is BuzzFeed'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 BuzzFeed. If investors know BuzzFeed 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 BuzzFeed listed above have to be considered, but the key to understanding future value is determining which factors weigh more heavily than others.
The market value of BuzzFeed is measured differently than its book value, which is the value of BuzzFeed that is recorded on the company's balance sheet. Investors also form their own opinion of BuzzFeed's value that differs from its market value or its book value, called intrinsic value, which is BuzzFeed'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 BuzzFeed's market value can be influenced by many factors that don't directly affect BuzzFeed'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 BuzzFeed's value and its price as these two are different measures arrived at by different means. Investors typically determine if BuzzFeed is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, BuzzFeed'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.
BuzzFeed '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 BuzzFeed'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 BuzzFeed.
03/26/2024 |
| 04/25/2024 |
If you would invest 0.00 in BuzzFeed on March 26, 2024 and sell it all today you would earn a total of 0.00 from holding BuzzFeed or generate 0.0% return on investment in BuzzFeed over 30 days. BuzzFeed is related to or competes with MediaAlpha, Asset Entities, Yelp, Shutterstock, Match, Snap, and Onfolio Holdings. BuzzFeed, Inc., a digital media company, provides breaking news, original reporting, entertainment, and videos across th... More
BuzzFeed 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 BuzzFeed'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 BuzzFeed upside and downside potential and time the market with a certain degree of confidence.
Downside Deviation | 7.21 | |||
Information Ratio | 0.1403 | |||
Maximum Drawdown | 67.98 | |||
Value At Risk | (8.33) | |||
Potential Upside | 10.53 |
BuzzFeed Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for BuzzFeed's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as BuzzFeed's standard deviation. In reality, there are many statistical measures that can use BuzzFeed historical prices to predict the future BuzzFeed's volatility.Risk Adjusted Performance | 0.1021 | |||
Jensen Alpha | 1.13 | |||
Total Risk Alpha | 0.2443 | |||
Sortino Ratio | 0.2084 | |||
Treynor Ratio | 0.275 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of BuzzFeed'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.
BuzzFeed Backtested Returns
BuzzFeed is out of control given 3 months investment horizon. BuzzFeed secures Sharpe Ratio (or Efficiency) of 0.15, which signifies that the company had a 0.15% return per unit of risk over the last 3 months. We were able to analyze and collect data for thirty different technical indicators, which can help you to evaluate if expected returns of 1.59% are justified by taking the suggested risk. Use BuzzFeed Mean Deviation of 5.91, risk adjusted performance of 0.1021, and Downside Deviation of 7.21 to evaluate company specific risk that cannot be diversified away. BuzzFeed holds a performance score of 11 on a scale of zero to a hundred. The firm shows a Beta (market volatility) of 5.75, 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, BuzzFeed will likely underperform. Use BuzzFeed kurtosis, market facilitation index, and the relationship between the semi variance and rate of daily change , to analyze future returns on BuzzFeed.
Auto-correlation | -0.31 |
Poor reverse predictability
BuzzFeed has poor reverse predictability. Overlapping area represents the amount of predictability between BuzzFeed time series from 26th of March 2024 to 10th of April 2024 and 10th of April 2024 to 25th 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 BuzzFeed price movement. The serial correlation of -0.31 indicates that nearly 31.0% of current BuzzFeed price fluctuation can be explain by its past prices.
Correlation Coefficient | -0.31 | |
Spearman Rank Test | 0.26 | |
Residual Average | 0.0 | |
Price Variance | 0.0 |
BuzzFeed lagged returns against current returns
Autocorrelation, which is BuzzFeed 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 BuzzFeed's stock expected returns. We can calculate the autocorrelation of BuzzFeed returns to help us make a trade decision. For example, suppose you find that BuzzFeed 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 |
BuzzFeed 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 BuzzFeed stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if BuzzFeed stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in BuzzFeed stock over time.
Current vs Lagged Prices |
Timeline |
BuzzFeed Lagged Returns
When evaluating BuzzFeed's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of BuzzFeed stock have on its future price. BuzzFeed 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, BuzzFeed autocorrelation shows the relationship between BuzzFeed stock current value and its past values and can show if there is a momentum factor associated with investing in BuzzFeed.
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 BuzzFeed 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, BuzzFeed's short interest history, or implied volatility extrapolated from BuzzFeed options trading.
Check out BuzzFeed Correlation, BuzzFeed Volatility and BuzzFeed Alpha and Beta module to complement your research on BuzzFeed. For information on how to trade BuzzFeed Stock refer to our How to Trade BuzzFeed Stock guide.Note that the BuzzFeed information on this page should be used as a complementary analysis to other BuzzFeed's statistical models used to find the right mix of equity instruments to add to your existing portfolios or create a brand new portfolio. You can also try the Portfolio Comparator module to compare the composition, asset allocations and performance of any two portfolios in your account.
Complementary Tools for BuzzFeed Stock analysis
When running BuzzFeed's price analysis, check to measure BuzzFeed'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 BuzzFeed is operating at the current time. Most of BuzzFeed's value examination focuses on studying past and present price action to predict the probability of BuzzFeed's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move BuzzFeed's price. Additionally, you may evaluate how the addition of BuzzFeed to your portfolios can decrease your overall portfolio volatility.
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BuzzFeed 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.