Flex Stock Market Value
FLEX Stock | USD 31.37 1.62 5.45% |
Symbol | Flex |
Flex Price To Book Ratio
Is Flex'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 Flex. If investors know Flex 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 Flex 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 2.004 | Earnings Share 1.98 | Revenue Per Share 60.724 | Quarterly Revenue Growth (0.17) | Return On Assets 0.0324 |
The market value of Flex is measured differently than its book value, which is the value of Flex that is recorded on the company's balance sheet. Investors also form their own opinion of Flex's value that differs from its market value or its book value, called intrinsic value, which is Flex'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 Flex's market value can be influenced by many factors that don't directly affect Flex'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 Flex's value and its price as these two are different measures arrived at by different means. Investors typically determine if Flex is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Flex'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.
Flex '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 Flex'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 Flex.
02/23/2024 |
| 05/23/2024 |
If you would invest 0.00 in Flex on February 23, 2024 and sell it all today you would earn a total of 0.00 from holding Flex or generate 0.0% return on investment in Flex over 90 days. Flex is related to or competes with Plexus Corp, Methode Electronics, Benchmark Electronics, Bel Fuse, Sanmina, Vicor, and Jabil Circuit. Flex Ltd. provides design, engineering, manufacturing, and supply chain services and solutions to original equipment man... More
Flex 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 Flex'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 Flex upside and downside potential and time the market with a certain degree of confidence.
Downside Deviation | 2.16 | |||
Information Ratio | 0.0612 | |||
Maximum Drawdown | 12.49 | |||
Value At Risk | (2.47) | |||
Potential Upside | 4.1 |
Flex Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Flex's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Flex's standard deviation. In reality, there are many statistical measures that can use Flex historical prices to predict the future Flex's volatility.Risk Adjusted Performance | 0.0633 | |||
Jensen Alpha | 0.0905 | |||
Total Risk Alpha | (0.06) | |||
Sortino Ratio | 0.0611 | |||
Treynor Ratio | 0.1242 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Flex'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.
Flex Backtested Returns
We consider Flex very steady. Flex secures Sharpe Ratio (or Efficiency) of 0.0892, which denotes the company had a 0.0892% return per unit of risk over the last 3 months. We have found thirty technical indicators for Flex, which you can use to evaluate the volatility of the firm. Please confirm Flex's Mean Deviation of 1.54, coefficient of variation of 1026.84, and Downside Deviation of 2.16 to check if the risk estimate we provide is consistent with the expected return of 0.19%. Flex has a performance score of 6 on a scale of 0 to 100. The firm shows a Beta (market volatility) of 1.61, which means 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, Flex will likely underperform. Flex right now shows a risk of 2.16%. Please confirm Flex jensen alpha, skewness, relative strength index, as well as the relationship between the value at risk and day median price , to decide if Flex will be following its price patterns.
Auto-correlation | -0.13 |
Insignificant reverse predictability
Flex has insignificant reverse predictability. Overlapping area represents the amount of predictability between Flex time series from 23rd of February 2024 to 8th of April 2024 and 8th of April 2024 to 23rd of May 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 Flex price movement. The serial correlation of -0.13 indicates that less than 13.0% of current Flex price fluctuation can be explain by its past prices.
Correlation Coefficient | -0.13 | |
Spearman Rank Test | 0.16 | |
Residual Average | 0.0 | |
Price Variance | 0.53 |
Flex lagged returns against current returns
Autocorrelation, which is Flex 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 Flex's stock expected returns. We can calculate the autocorrelation of Flex returns to help us make a trade decision. For example, suppose you find that Flex 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 |
Flex 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 Flex stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Flex stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Flex stock over time.
Current vs Lagged Prices |
Timeline |
Flex Lagged Returns
When evaluating Flex's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Flex stock have on its future price. Flex 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, Flex autocorrelation shows the relationship between Flex stock current value and its past values and can show if there is a momentum factor associated with investing in Flex.
Regressed Prices |
Timeline |
Also Currently Popular
Analyzing currently trending equities could be an opportunity to develop a better portfolio based on different market momentums that they can trigger. Utilizing the top trending stocks is also useful when creating a market-neutral strategy or pair trading technique involving a short or a long position in a currently trending equity.When determining whether Flex offers a strong return on investment in its stock, a comprehensive analysis is essential. The process typically begins with a thorough review of Flex's financial statements, including income statements, balance sheets, and cash flow statements, to assess its financial health. Key financial ratios are used to gauge profitability, efficiency, and growth potential of Flex Stock. Outlined below are crucial reports that will aid in making a well-informed decision on Flex Stock:Check out Flex Correlation, Flex Volatility and Flex Alpha and Beta module to complement your research on Flex. For more information on how to buy Flex Stock please use our How to Invest in Flex guide.Note that the Flex information on this page should be used as a complementary analysis to other Flex'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 Money Flow Index module to determine momentum by analyzing Money Flow Index and other technical indicators.
Complementary Tools for Flex Stock analysis
When running Flex's price analysis, check to measure Flex'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 Flex is operating at the current time. Most of Flex's value examination focuses on studying past and present price action to predict the probability of Flex's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Flex's price. Additionally, you may evaluate how the addition of Flex to your portfolios can decrease your overall portfolio volatility.
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Flex 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.