Exponent Stock Market Value
| EXPO Stock | USD 80.60 0.24 0.30% |
| Symbol | Exponent |
Exponent Price To Book Ratio
Is Exponent'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 Exponent. If investors know Exponent 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 Exponent 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 (0.09) | Dividend Share 1.04 | Earnings Share 1.94 | Revenue Per Share 9.72 | Quarterly Revenue Growth 0.011 |
The market value of Exponent is measured differently than its book value, which is the value of Exponent that is recorded on the company's balance sheet. Investors also form their own opinion of Exponent's value that differs from its market value or its book value, called intrinsic value, which is Exponent'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 Exponent's market value can be influenced by many factors that don't directly affect Exponent'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 Exponent's value and its price as these two are different measures arrived at by different means. Investors typically determine if Exponent is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Exponent'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.
Exponent '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 Exponent'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 Exponent.
| 01/26/2024 |
| 04/25/2024 |
If you would invest 0.00 in Exponent on January 26, 2024 and sell it all today you would earn a total of 0.00 from holding Exponent or generate 0.0% return on investment in Exponent over 90 days. Exponent is related to or competes with CRA International, Huron Consulting, Forrester Research, Resources Connection, Franklin Covey, ICF International, and FTI Consulting. Exponent, Inc., together with its subsidiaries, operates as a science and engineering consulting company worldwide More
Exponent 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 Exponent'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 Exponent upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.1) | |||
| Maximum Drawdown | 14.98 | |||
| Value At Risk | (3.17) | |||
| Potential Upside | 2.52 |
Exponent Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Exponent's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Exponent's standard deviation. In reality, there are many statistical measures that can use Exponent historical prices to predict the future Exponent's volatility.| Risk Adjusted Performance | (0.03) | |||
| Jensen Alpha | (0.29) | |||
| Total Risk Alpha | (0.45) | |||
| Treynor Ratio | (0.08) |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Exponent'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.
Exponent Backtested Returns
Exponent secures Sharpe Ratio (or Efficiency) of -0.0519, which denotes the company had a -0.0519% return per unit of risk over the last 3 months. Exponent exposes twenty-three different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please confirm Exponent's Variance of 5.18, standard deviation of 2.28, and Mean Deviation of 1.47 to check the risk estimate we provide. The firm shows a Beta (market volatility) of 1.82, 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, Exponent will likely underperform. Exponent has an expected return of -0.12%. Please make sure to confirm Exponent total risk alpha, skewness, as well as the relationship between the Skewness and day median price , to decide if Exponent performance from the past will be repeated at some point in the near future.
Auto-correlation | -0.44 |
Modest reverse predictability
Exponent has modest reverse predictability. Overlapping area represents the amount of predictability between Exponent time series from 26th of January 2024 to 11th of March 2024 and 11th of March 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 Exponent price movement. The serial correlation of -0.44 indicates that just about 44.0% of current Exponent price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.44 | |
| Spearman Rank Test | 0.11 | |
| Residual Average | 0.0 | |
| Price Variance | 1.54 |
Exponent lagged returns against current returns
Autocorrelation, which is Exponent 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 Exponent's stock expected returns. We can calculate the autocorrelation of Exponent returns to help us make a trade decision. For example, suppose you find that Exponent 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 |
Exponent 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 Exponent stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Exponent stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Exponent stock over time.
Current vs Lagged Prices |
| Timeline |
Exponent Lagged Returns
When evaluating Exponent's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Exponent stock have on its future price. Exponent 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, Exponent autocorrelation shows the relationship between Exponent stock current value and its past values and can show if there is a momentum factor associated with investing in Exponent.
Regressed Prices |
| Timeline |
Pair Trading with Exponent
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 Exponent 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 Exponent will appreciate offsetting losses from the drop in the long position's value.Moving together with Exponent Stock
| 0.69 | BR | Broadridge Financial Financial Report 7th of May 2024 | PairCorr |
| 0.74 | FC | Franklin Covey Financial Report 26th of June 2024 | PairCorr |
| 0.65 | VIRC | Virco Manufacturing Report 26th of April 2024 | PairCorr |
Moving against Exponent Stock
| 0.59 | J | Jacobs Solutions Financial Report 14th of May 2024 | PairCorr |
| 0.58 | B | Barnes Group Earnings Call Tomorrow | PairCorr |
| 0.53 | WM | Waste Management Earnings Call Today | PairCorr |
| 0.48 | VSEC | VSE Corporation Financial Report 6th of May 2024 | PairCorr |
| 0.47 | ICFI | ICF International Earnings Call This Week | PairCorr |
The ability to find closely correlated positions to Exponent could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Exponent 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 Exponent - 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 Exponent to buy it.
The correlation of Exponent 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 Exponent moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Exponent 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 Exponent 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 Exponent Correlation, Exponent Volatility and Exponent Alpha and Beta module to complement your research on Exponent. To learn how to invest in Exponent Stock, please use our How to Invest in Exponent 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 Exponent Stock analysis
When running Exponent's price analysis, check to measure Exponent'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 Exponent is operating at the current time. Most of Exponent's value examination focuses on studying past and present price action to predict the probability of Exponent's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Exponent's price. Additionally, you may evaluate how the addition of Exponent to your portfolios can decrease your overall portfolio volatility.
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Exponent 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.