Opera Stock Market Value

OPRA Stock  USD 19.81  0.25  1.25%   
Opera's market value is the price at which a share of Opera trades on a public exchange. It measures the collective expectations of Opera investors about its performance. Opera is trading at 19.81 as of the 26th of November 2024, a 1.25 percent decrease since the beginning of the trading day. The stock's open price was 20.06.
With this module, you can estimate the performance of a buy and hold strategy of Opera and determine expected loss or profit from investing in Opera over a given investment horizon. Check out Opera Correlation, Opera Volatility and Opera Alpha and Beta module to complement your research on Opera.
For information on how to trade Opera Stock refer to our How to Trade Opera Stock guide.
Symbol

Opera Price To Book Ratio

Is Application Software 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 Opera. If investors know Opera 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 Opera 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
0.111
Dividend Share
0.8
Earnings Share
1.79
Revenue Per Share
5.073
Quarterly Revenue Growth
0.2
The market value of Opera is measured differently than its book value, which is the value of Opera that is recorded on the company's balance sheet. Investors also form their own opinion of Opera's value that differs from its market value or its book value, called intrinsic value, which is Opera'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 Opera's market value can be influenced by many factors that don't directly affect Opera'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 Opera's value and its price as these two are different measures arrived at by different means. Investors typically determine if Opera is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Opera'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.

Opera '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 Opera'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 Opera.
0.00
09/27/2024
No Change 0.00  0.0 
In 2 months and 2 days
11/26/2024
0.00
If you would invest  0.00  in Opera on September 27, 2024 and sell it all today you would earn a total of 0.00 from holding Opera or generate 0.0% return on investment in Opera over 60 days. Opera is related to or competes with Tuniu Corp, Yirendai, Xunlei, and Phoenix New. Opera Limited, together with its subsidiaries, provides mobile and PC web browsers More

Opera 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 Opera'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 Opera upside and downside potential and time the market with a certain degree of confidence.

Opera Market Risk Indicators

Today, many novice investors tend to focus exclusively on investment returns with little concern for Opera's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Opera's standard deviation. In reality, there are many statistical measures that can use Opera historical prices to predict the future Opera's volatility.
Hype
Prediction
LowEstimatedHigh
17.7220.2822.84
Details
Intrinsic
Valuation
LowRealHigh
19.2021.7624.32
Details
5 Analysts
Consensus
LowTargetHigh
18.4320.2522.48
Details
Earnings
Estimates (0)
LowProjected EPSHigh
0.200.230.24
Details

Opera Backtested Returns

Opera appears to be not too volatile, given 3 months investment horizon. Opera maintains Sharpe Ratio (i.e., Efficiency) of 0.21, which implies the firm had a 0.21% return per unit of risk over the last 3 months. By analyzing Opera's technical indicators, you can evaluate if the expected return of 0.53% is justified by implied risk. Please evaluate Opera's Semi Deviation of 1.96, coefficient of variation of 742.35, and Risk Adjusted Performance of 0.1101 to confirm if our risk estimates are consistent with your expectations. On a scale of 0 to 100, Opera holds a performance score of 16. The company holds a Beta of 0.83, which implies possible diversification benefits within a given portfolio. As returns on the market increase, Opera's returns are expected to increase less than the market. However, during the bear market, the loss of holding Opera is expected to be smaller as well. Please check Opera's jensen alpha, semi variance, day typical price, as well as the relationship between the maximum drawdown and accumulation distribution , to make a quick decision on whether Opera's historical price patterns will revert.

Auto-correlation

    
  0.85  

Very good predictability

Opera has very good predictability. Overlapping area represents the amount of predictability between Opera time series from 27th of September 2024 to 27th of October 2024 and 27th of October 2024 to 26th 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 Opera price movement. The serial correlation of 0.85 indicates that around 85.0% of current Opera price fluctuation can be explain by its past prices.
Correlation Coefficient0.85
Spearman Rank Test0.63
Residual Average0.0
Price Variance0.78

Opera lagged returns against current returns

Autocorrelation, which is Opera 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 Opera's stock expected returns. We can calculate the autocorrelation of Opera returns to help us make a trade decision. For example, suppose you find that Opera 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  

Opera 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 Opera stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Opera stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Opera stock over time.
   Current vs Lagged Prices   
       Timeline  

Opera Lagged Returns

When evaluating Opera's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Opera stock have on its future price. Opera 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, Opera autocorrelation shows the relationship between Opera stock current value and its past values and can show if there is a momentum factor associated with investing in Opera.
   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 Opera offers a strong return on investment in its stock, a comprehensive analysis is essential. The process typically begins with a thorough review of Opera'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 Opera Stock. Outlined below are crucial reports that will aid in making a well-informed decision on Opera Stock:
Check out Opera Correlation, Opera Volatility and Opera Alpha and Beta module to complement your research on Opera.
For information on how to trade Opera Stock refer to our How to Trade Opera Stock guide.
You can also try the Portfolio Rebalancing module to analyze risk-adjusted returns against different time horizons to find asset-allocation targets.
Opera 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.
A focus of Opera technical analysis is to determine if market prices reflect all relevant information impacting that market. A technical analyst looks at the history of Opera trading pattern rather than external drivers such as economic, fundamental, or social events. It is believed that price action tends to repeat itself due to investors' collective, patterned behavior. Hence technical analysis focuses on identifiable price trends and conditions. More Info...