Amazon Inc Stock Market Value
| AMZN Stock | USD 183.62 2.51 1.35% |
| Symbol | Amazon |
Amazon Inc Price To Book Ratio
Is Amazon'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 Amazon. If investors know Amazon 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 Amazon 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 50.693 | Earnings Share 2.9 | Revenue Per Share 55.783 | Quarterly Revenue Growth 0.139 | Return On Assets 0.0465 |
The market value of Amazon Inc is measured differently than its book value, which is the value of Amazon that is recorded on the company's balance sheet. Investors also form their own opinion of Amazon's value that differs from its market value or its book value, called intrinsic value, which is Amazon'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 Amazon's market value can be influenced by many factors that don't directly affect Amazon'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 Amazon's value and its price as these two are different measures arrived at by different means. Investors typically determine if Amazon is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Amazon'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.
Amazon '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 Amazon'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 Amazon.
| 03/17/2024 |
| 04/16/2024 |
If you would invest 0.00 in Amazon on March 17, 2024 and sell it all today you would earn a total of 0.00 from holding Amazon Inc or generate 0.0% return on investment in Amazon over 30 days. Amazon is related to or competes with Appian Corp, Okta, MongoDB, Twilio, and Trade Desk. Amazon.com, Inc. engages in the retail sale of consumer products and subscriptions in North America and internationally More
Amazon 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 Amazon'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 Amazon Inc upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 1.24 | |||
| Information Ratio | 0.1373 | |||
| Maximum Drawdown | 10.29 | |||
| Value At Risk | (1.95) | |||
| Potential Upside | 2.71 |
Amazon Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Amazon's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Amazon's standard deviation. In reality, there are many statistical measures that can use Amazon historical prices to predict the future Amazon's volatility.| Risk Adjusted Performance | 0.1168 | |||
| Jensen Alpha | 0.2113 | |||
| Total Risk Alpha | 0.1377 | |||
| Sortino Ratio | 0.1774 | |||
| Treynor Ratio | 0.2364 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Amazon'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.
Amazon Inc Backtested Returns
Amazon appears to be very steady, given 3 months investment horizon. Amazon Inc secures Sharpe Ratio (or Efficiency) of 0.2, which signifies that the company had a 0.2% return per unit of standard deviation over the last 3 months. We have found twenty-nine technical indicators for Amazon Inc, which you can use to evaluate the volatility of the firm. Please makes use of Amazon's mean deviation of 1.13, and Risk Adjusted Performance of 0.1168 to double-check if our risk estimates are consistent with your expectations. On a scale of 0 to 100, Amazon holds a performance score of 15. The firm shows a Beta (market volatility) of 1.15, which signifies a somewhat significant risk relative to the market. Amazon returns are very sensitive to returns on the market. As the market goes up or down, Amazon is expected to follow. Please check Amazon's coefficient of variation, semi variance, price action indicator, as well as the relationship between the treynor ratio and daily balance of power , to make a quick decision on whether Amazon's price patterns will revert.
Auto-correlation | 0.78 |
Good predictability
Amazon Inc has good predictability. Overlapping area represents the amount of predictability between Amazon time series from 17th of March 2024 to 1st of April 2024 and 1st of April 2024 to 16th 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 Amazon Inc price movement. The serial correlation of 0.78 indicates that around 78.0% of current Amazon price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.78 | |
| Spearman Rank Test | 0.87 | |
| Residual Average | 0.0 | |
| Price Variance | 7.77 |
Amazon Inc lagged returns against current returns
Autocorrelation, which is Amazon 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 Amazon's stock expected returns. We can calculate the autocorrelation of Amazon returns to help us make a trade decision. For example, suppose you find that Amazon 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 |
Amazon 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 Amazon stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Amazon stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Amazon stock over time.
Current vs Lagged Prices |
| Timeline |
Amazon Lagged Returns
When evaluating Amazon's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Amazon stock have on its future price. Amazon 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, Amazon autocorrelation shows the relationship between Amazon stock current value and its past values and can show if there is a momentum factor associated with investing in Amazon Inc.
Regressed Prices |
| Timeline |
Amazon Investors Sentiment
The influence of Amazon's investor sentiment on the probability of its price appreciation or decline could be a good factor in your decision-making process regarding taking a position in Amazon. The overall investor sentiment generally increases the direction of a stock movement in a one-year investment horizon. However, the impact of investor sentiment on the entire stock market does not have solid backing from leading economists and market statisticians.
Investor biases related to Amazon's public news can be used to forecast risks associated with an investment in Amazon. The trend in average sentiment can be used to explain how an investor holding Amazon can time the market purely based on public headlines and social activities around Amazon Inc. Please note that most equities that are difficult to arbitrage are affected by market sentiment the most.
Amazon's market sentiment shows the aggregated news analyzed to detect positive and negative mentions from the text and comments. The data is normalized to provide daily scores for Amazon's and other traded tickers. The bigger the bubble, the more accurate is the estimated score. Higher bars for a given day show more participation in the average Amazon's news discussions. The higher the estimated score, the more favorable is the investor's outlook on Amazon.
Amazon Implied Volatility | 40.13 |
Amazon's implied volatility exposes the market's sentiment of Amazon Inc stock's possible movements over time. However, it does not forecast the overall direction of its price. In a nutshell, if Amazon's implied volatility is high, the market thinks the stock has potential for high price swings in either direction. On the other hand, the low implied volatility suggests that Amazon stock will not fluctuate a lot when Amazon's options are near their expiration.
Some investors attempt to determine whether the market's mood is bullish or bearish by monitoring changes in market sentiment. Unlike more traditional methods such as technical analysis, investor sentiment usually refers to the aggregate attitude towards Amazon in the overall investment community. So, suppose investors can accurately measure the market's sentiment. In that case, they can use it for their benefit. For example, some tools to gauge market sentiment could be utilized using contrarian indexes, Amazon's short interest history, or implied volatility extrapolated from Amazon options trading.
Pair Trading with Amazon
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 Amazon 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 Amazon will appreciate offsetting losses from the drop in the long position's value.Moving together with Amazon Stock
| 0.65 | W | Wayfair Financial Report 2nd of May 2024 | PairCorr |
| 0.62 | DIBS | 1StdibsCom Financial Report 8th of May 2024 | PairCorr |
| 0.75 | AN | AutoNation Financial Report 18th of April 2024 | PairCorr |
Moving against Amazon Stock
| 0.89 | BQ | Boqii Holding Limited | PairCorr |
| 0.87 | DTC | Solo Brands Financial Report 2nd of May 2024 | PairCorr |
| 0.84 | BIG | Big Lots Financial Report 24th of May 2024 | PairCorr |
| 0.81 | QRTEB | Qurate Retail Series | PairCorr |
| 0.7 | WOOF | Pet Acquisition LLC Financial Report 22nd of May 2024 | PairCorr |
The ability to find closely correlated positions to Amazon could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Amazon 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 Amazon - 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 Amazon Inc to buy it.
The correlation of Amazon 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 Amazon moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Amazon 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 Amazon 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 Amazon Correlation, Amazon Volatility and Amazon Alpha and Beta module to complement your research on Amazon. Note that the Amazon Inc information on this page should be used as a complementary analysis to other Amazon's statistical models used to find the right mix of equity instruments to add to your existing portfolios or create a brand new portfolio. You can also try the Equity Forecasting module to use basic forecasting models to generate price predictions and determine price momentum.
Complementary Tools for Amazon Stock analysis
When running Amazon's price analysis, check to measure Amazon'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 Amazon is operating at the current time. Most of Amazon's value examination focuses on studying past and present price action to predict the probability of Amazon's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Amazon's price. Additionally, you may evaluate how the addition of Amazon to your portfolios can decrease your overall portfolio volatility.
| Portfolio File Import Quickly import all of your third-party portfolios from your local drive in csv format | |
| Portfolio Anywhere Track or share privately all of your investments from the convenience of any device | |
| Fundamental Analysis View fundamental data based on most recent published financial statements | |
| CEOs Directory Screen CEOs from public companies around the world | |
| Money Managers Screen money managers from public funds and ETFs managed around the world | |
| USA ETFs Find actively traded Exchange Traded Funds (ETF) in USA | |
| Idea Analyzer Analyze all characteristics, volatility and risk-adjusted return of Macroaxis ideas | |
| Performance Analysis Check effects of mean-variance optimization against your current asset allocation | |
| Instant Ratings Determine any equity ratings based on digital recommendations. Macroaxis instant equity ratings are based on combination of fundamental analysis and risk-adjusted market performance | |
| Price Ceiling Movement Calculate and plot Price Ceiling Movement for different equity instruments | |
| Fundamentals Comparison Compare fundamentals across multiple equities to find investing opportunities | |
| Idea Optimizer Use advanced portfolio builder with pre-computed micro ideas to build optimal portfolio | |
| Balance Of Power Check stock momentum by analyzing Balance Of Power indicator and other technical ratios |
Amazon 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.