Coursera Stock Market Value
| COUR Stock | USD 7.95 0.25 3.05% |
| Symbol | Coursera |
Coursera Price To Book Ratio
Is Diversified Consumer Services space 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 Coursera. If investors know Coursera 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 Coursera listed above have to be considered, but the key to understanding future value is determining which factors weigh more heavily than others.
Earnings Share (0.50) | Revenue Per Share 4.387 | Quarterly Revenue Growth 0.064 | Return On Assets (0.07) | Return On Equity (0.13) |
The market value of Coursera is measured differently than its book value, which is the value of Coursera that is recorded on the company's balance sheet. Investors also form their own opinion of Coursera's value that differs from its market value or its book value, called intrinsic value, which is Coursera'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 Coursera's market value can be influenced by many factors that don't directly affect Coursera'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 Coursera's value and its price as these two are different measures arrived at by different means. Investors typically determine if Coursera is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Coursera'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.
Coursera '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 Coursera'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 Coursera.
| 04/06/2024 |
| 12/02/2024 |
If you would invest 0.00 in Coursera on April 6, 2024 and sell it all today you would earn a total of 0.00 from holding Coursera or generate 0.0% return on investment in Coursera over 240 days. Coursera is related to or competes with Chegg, Skillsoft Corp, Laureate Education, Udemy, TAL Education, Youdao, and New Oriental. Coursera, Inc. operates an online educational content platform that connects learners, educators, organizations, and ins... More
Coursera 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 Coursera'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 Coursera upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 3.11 | |||
| Information Ratio | (0.03) | |||
| Maximum Drawdown | 19.52 | |||
| Value At Risk | (4.14) | |||
| Potential Upside | 5.23 |
Coursera Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Coursera's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Coursera's standard deviation. In reality, there are many statistical measures that can use Coursera historical prices to predict the future Coursera's volatility.| Risk Adjusted Performance | 0.0163 | |||
| Jensen Alpha | (0.23) | |||
| Total Risk Alpha | (0.49) | |||
| Sortino Ratio | (0.03) | |||
| Treynor Ratio | 0.013 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Coursera'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.
Coursera Backtested Returns
Currently, Coursera is slightly risky. Coursera secures Sharpe Ratio (or Efficiency) of 0.0203, which signifies that the company had a 0.0203% return per unit of risk over the last 3 months. We have found twenty-nine technical indicators for Coursera, which you can use to evaluate the volatility of the firm. Please confirm Coursera's Risk Adjusted Performance of 0.0163, mean deviation of 2.13, and Downside Deviation of 3.11 to double-check if the risk estimate we provide is consistent with the expected return of 0.0637%. Coursera has a performance score of 1 on a scale of 0 to 100. The firm shows a Beta (market volatility) of 1.98, 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, Coursera will likely underperform. Coursera right now shows a risk of 3.14%. Please confirm Coursera potential upside, as well as the relationship between the accumulation distribution and price action indicator , to decide if Coursera will be following its price patterns.
Auto-correlation | 0.57 |
Modest predictability
Coursera has modest predictability. Overlapping area represents the amount of predictability between Coursera time series from 6th of April 2024 to 4th of August 2024 and 4th of August 2024 to 2nd of December 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 Coursera price movement. The serial correlation of 0.57 indicates that roughly 57.0% of current Coursera price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.57 | |
| Spearman Rank Test | 0.33 | |
| Residual Average | 0.0 | |
| Price Variance | 0.17 |
Coursera lagged returns against current returns
Autocorrelation, which is Coursera 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 Coursera's stock expected returns. We can calculate the autocorrelation of Coursera returns to help us make a trade decision. For example, suppose you find that Coursera 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 |
Coursera 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 Coursera stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Coursera stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Coursera stock over time.
Current vs Lagged Prices |
| Timeline |
Coursera Lagged Returns
When evaluating Coursera's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Coursera stock have on its future price. Coursera 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, Coursera autocorrelation shows the relationship between Coursera stock current value and its past values and can show if there is a momentum factor associated with investing in Coursera.
Regressed Prices |
| Timeline |
Pair Trading with Coursera
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 Coursera 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 Coursera will appreciate offsetting losses from the drop in the long position's value.Moving against Coursera Stock
| 0.52 | QSG | QuantaSing Group | PairCorr |
| 0.46 | DAO | Youdao Inc | PairCorr |
| 0.44 | JZ | Jianzhi Education | PairCorr |
| 0.4 | TAL | TAL Education Group | PairCorr |
| 0.34 | GHC | Graham Holdings | PairCorr |
The ability to find closely correlated positions to Coursera could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Coursera 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 Coursera - 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 Coursera to buy it.
The correlation of Coursera 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 Coursera moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Coursera 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 Coursera 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.Additional Tools for Coursera Stock Analysis
When running Coursera's price analysis, check to measure Coursera'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 Coursera is operating at the current time. Most of Coursera's value examination focuses on studying past and present price action to predict the probability of Coursera's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Coursera's price. Additionally, you may evaluate how the addition of Coursera to your portfolios can decrease your overall portfolio volatility.