Gopro Inc Stock Market Value
| GPRO Stock | USD 1.22 0.02 1.67% |
| Symbol | GoPro |
GoPro Inc Price To Book Ratio
Is Consumer Electronics 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 GoPro. If investors know GoPro 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 GoPro 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 (0.94) | Earnings Share (2.61) | Revenue Per Share 5.891 | Quarterly Revenue Growth (0.12) | Return On Assets (0.07) |
The market value of GoPro Inc is measured differently than its book value, which is the value of GoPro that is recorded on the company's balance sheet. Investors also form their own opinion of GoPro's value that differs from its market value or its book value, called intrinsic value, which is GoPro'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 GoPro's market value can be influenced by many factors that don't directly affect GoPro'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 GoPro's value and its price as these two are different measures arrived at by different means. Investors typically determine if GoPro is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, GoPro'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.
GoPro '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 GoPro'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 GoPro.
| 10/26/2024 |
| 11/25/2024 |
If you would invest 0.00 in GoPro on October 26, 2024 and sell it all today you would earn a total of 0.00 from holding GoPro Inc or generate 0.0% return on investment in GoPro over 30 days. GoPro is related to or competes with VOXX International, LG Display, Vizio Holding, Wearable Devices, Universal Electronics, Samsung Electronics, and Sony Group. GoPro, Inc. develops and sells cameras, mountable and wearable accessories, and subscription services and software in th... More
GoPro 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 GoPro'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 GoPro Inc upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 4.37 | |||
| Information Ratio | (0.02) | |||
| Maximum Drawdown | 26.69 | |||
| Value At Risk | (6.47) | |||
| Potential Upside | 6.19 |
GoPro Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for GoPro's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as GoPro's standard deviation. In reality, there are many statistical measures that can use GoPro historical prices to predict the future GoPro's volatility.| Risk Adjusted Performance | 0.0154 | |||
| Jensen Alpha | (0.27) | |||
| Total Risk Alpha | (0.64) | |||
| Sortino Ratio | (0.02) | |||
| Treynor Ratio | 0.0119 |
GoPro Inc Backtested Returns
As of now, GoPro Stock is very risky. GoPro Inc holds Efficiency (Sharpe) Ratio of 0.0058, which attests that the entity had a 0.0058% return per unit of volatility over the last 3 months. We have found thirty technical indicators for GoPro Inc, which you can use to evaluate the volatility of the firm. Please check out GoPro's risk adjusted performance of 0.0154, and Market Risk Adjusted Performance of 0.0219 to validate if the risk estimate we provide is consistent with the expected return of 0.0243%. The company retains a Market Volatility (i.e., Beta) of 2.49, which attests to 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, GoPro will likely underperform. GoPro Inc right now retains a risk of 4.18%. Please check out GoPro rate of daily change, period momentum indicator, as well as the relationship between the expected short fall and maximum drawdown , to decide if GoPro will be following its current trending patterns.
Auto-correlation | -0.07 |
Very weak reverse predictability
GoPro Inc has very weak reverse predictability. Overlapping area represents the amount of predictability between GoPro time series from 26th of October 2024 to 10th of November 2024 and 10th of November 2024 to 25th of November 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 GoPro Inc price movement. The serial correlation of -0.07 indicates that barely 7.0% of current GoPro price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.07 | |
| Spearman Rank Test | -0.34 | |
| Residual Average | 0.0 | |
| Price Variance | 0.02 |
GoPro Inc lagged returns against current returns
Autocorrelation, which is GoPro 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 GoPro's stock expected returns. We can calculate the autocorrelation of GoPro returns to help us make a trade decision. For example, suppose you find that GoPro 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 |
GoPro 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 GoPro stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if GoPro stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in GoPro stock over time.
Current vs Lagged Prices |
| Timeline |
GoPro Lagged Returns
When evaluating GoPro's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of GoPro stock have on its future price. GoPro 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, GoPro autocorrelation shows the relationship between GoPro stock current value and its past values and can show if there is a momentum factor associated with investing in GoPro Inc.
Regressed Prices |
| Timeline |
Pair Trading with GoPro
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 GoPro 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 GoPro will appreciate offsetting losses from the drop in the long position's value.The ability to find closely correlated positions to GoPro could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace GoPro 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 GoPro - 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 GoPro Inc to buy it.
The correlation of GoPro 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 GoPro moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if GoPro Inc 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 GoPro 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 GoPro Correlation, GoPro Volatility and GoPro Alpha and Beta module to complement your research on GoPro. You can also try the Commodity Channel module to use Commodity Channel Index to analyze current equity momentum.
GoPro 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.