Netflix (Mexico) Market Value
| NFLX Stock | MXN 9,488 336.99 3.43% |
| Symbol | Netflix |
Netflix '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 Netflix'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 Netflix.
| 03/26/2024 |
| 04/25/2024 |
If you would invest 0.00 in Netflix on March 26, 2024 and sell it all today you would earn a total of 0.00 from holding Netflix or generate 0.0% return on investment in Netflix over 30 days. Netflix is related to or competes with Disney, and Megacable Holdings. It offers TV series, documentaries, feature films, and mobile games across various genres and languages More
Netflix 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 Netflix'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 Netflix upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 2.48 | |||
| Information Ratio | 0.0769 | |||
| Maximum Drawdown | 19.19 | |||
| Value At Risk | (3.40) | |||
| Potential Upside | 3.83 |
Netflix Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Netflix's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Netflix's standard deviation. In reality, there are many statistical measures that can use Netflix historical prices to predict the future Netflix's volatility.| Risk Adjusted Performance | 0.0791 | |||
| Jensen Alpha | 0.3051 | |||
| Total Risk Alpha | (0.07) | |||
| Sortino Ratio | 0.0783 | |||
| Treynor Ratio | (0.92) |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Netflix'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.
Netflix Backtested Returns
Netflix has Sharpe Ratio of -0.0094, which conveys that the firm had a -0.0094% return per unit of risk over the last 3 months. Netflix exposes thirty different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please verify Netflix's Risk Adjusted Performance of 0.0791, mean deviation of 1.7, and Downside Deviation of 2.48 to check out the risk estimate we provide. The company secures a Beta (Market Risk) of -0.3, which conveys possible diversification benefits within a given portfolio. As returns on the market increase, returns on owning Netflix are expected to decrease at a much lower rate. During the bear market, Netflix is likely to outperform the market. Netflix has an expected return of -0.0213%. Please make sure to verify Netflix sortino ratio, maximum drawdown, potential upside, as well as the relationship between the treynor ratio and value at risk , to decide if Netflix performance from the past will be repeated at some point in the near future.
Auto-correlation | 0.39 |
Below average predictability
Netflix has below average predictability. Overlapping area represents the amount of predictability between Netflix time series from 26th of March 2024 to 10th of April 2024 and 10th of April 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 Netflix price movement. The serial correlation of 0.39 indicates that just about 39.0% of current Netflix price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.39 | |
| Spearman Rank Test | 0.38 | |
| Residual Average | 0.0 | |
| Price Variance | 137.7 K |
Netflix lagged returns against current returns
Autocorrelation, which is Netflix 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 Netflix's stock expected returns. We can calculate the autocorrelation of Netflix returns to help us make a trade decision. For example, suppose you find that Netflix 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 |
Netflix 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 Netflix stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Netflix stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Netflix stock over time.
Current vs Lagged Prices |
| Timeline |
Netflix Lagged Returns
When evaluating Netflix's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Netflix stock have on its future price. Netflix 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, Netflix autocorrelation shows the relationship between Netflix stock current value and its past values and can show if there is a momentum factor associated with investing in Netflix.
Regressed Prices |
| Timeline |
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Try AI Portfolio ArchitectCheck out Netflix Correlation, Netflix Volatility and Netflix Alpha and Beta module to complement your research on Netflix. For more information on how to buy Netflix Stock please use our How to Invest in Netflix guide.You can also try the Instant Ratings module to determine any equity ratings based on digital recommendations. Macroaxis instant equity ratings are based on combination of fundamental analysis and risk-adjusted market performance.
Complementary Tools for Netflix Stock analysis
When running Netflix's price analysis, check to measure Netflix'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 Netflix is operating at the current time. Most of Netflix's value examination focuses on studying past and present price action to predict the probability of Netflix's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Netflix's price. Additionally, you may evaluate how the addition of Netflix to your portfolios can decrease your overall portfolio volatility.
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Netflix 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.