Nio Class A Stock Market Value
| NIO Stock | USD 4.62 0.14 3.12% |
| Symbol | Nio |
Nio Class A Price To Book Ratio
Is Automobile Manufacturers 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 Nio. If investors know Nio 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 Nio listed above have to be considered, but the key to understanding future value is determining which factors weigh more heavily than others.
Earnings Share (1.49) | Revenue Per Share 33.464 | Quarterly Revenue Growth 0.989 | Return On Assets (0.15) | Return On Equity (1.05) |
The market value of Nio Class A is measured differently than its book value, which is the value of Nio that is recorded on the company's balance sheet. Investors also form their own opinion of Nio's value that differs from its market value or its book value, called intrinsic value, which is Nio'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 Nio's market value can be influenced by many factors that don't directly affect Nio'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 Nio's value and its price as these two are different measures arrived at by different means. Investors typically determine if Nio is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Nio'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.
Nio '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 Nio'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 Nio.
| 06/28/2024 |
| 12/25/2024 |
If you would invest 0.00 in Nio on June 28, 2024 and sell it all today you would earn a total of 0.00 from holding Nio Class A or generate 0.0% return on investment in Nio over 180 days. Nio is related to or competes with Li Auto, Rivian Automotive, Lucid, Tesla, Ford, Xpeng, and BYD Co. NIO Inc. designs, develops, manufactures, and sells smart electric vehicles in China More
Nio 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 Nio'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 Nio Class A upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.03) | |||
| Maximum Drawdown | 22.29 | |||
| Value At Risk | (7.71) | |||
| Potential Upside | 10.46 |
Nio Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Nio's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Nio's standard deviation. In reality, there are many statistical measures that can use Nio historical prices to predict the future Nio's volatility.| Risk Adjusted Performance | (0.01) | |||
| Jensen Alpha | (0.14) | |||
| Total Risk Alpha | (0.32) | |||
| Treynor Ratio | (0.21) |
Nio Class A Backtested Returns
Nio Class A has Sharpe Ratio of -0.0563, which conveys that the firm had a -0.0563% return per unit of risk over the last 3 months. Nio exposes twenty-two different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please verify Nio's Standard Deviation of 4.71, mean deviation of 3.5, and Risk Adjusted Performance of (0.01) to check out the risk estimate we provide. The company secures a Beta (Market Risk) of 0.56, which conveys possible diversification benefits within a given portfolio. As returns on the market increase, Nio's returns are expected to increase less than the market. However, during the bear market, the loss of holding Nio is expected to be smaller as well. At this point, Nio Class A has a negative expected return of -0.25%. Please make sure to verify Nio's jensen alpha, skewness, as well as the relationship between the Skewness and day median price , to decide if Nio Class A performance from the past will be repeated at some point in the near future.
Auto-correlation | -0.07 |
Very weak reverse predictability
Nio Class A has very weak reverse predictability. Overlapping area represents the amount of predictability between Nio time series from 28th of June 2024 to 26th of September 2024 and 26th of September 2024 to 25th 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 Nio Class A price movement. The serial correlation of -0.07 indicates that barely 7.0% of current Nio price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.07 | |
| Spearman Rank Test | -0.26 | |
| Residual Average | 0.0 | |
| Price Variance | 0.59 |
Nio Class A lagged returns against current returns
Autocorrelation, which is Nio 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 Nio's stock expected returns. We can calculate the autocorrelation of Nio returns to help us make a trade decision. For example, suppose you find that Nio 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 |
Nio 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 Nio stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Nio stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Nio stock over time.
Current vs Lagged Prices |
| Timeline |
Nio Lagged Returns
When evaluating Nio's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Nio stock have on its future price. Nio 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, Nio autocorrelation shows the relationship between Nio stock current value and its past values and can show if there is a momentum factor associated with investing in Nio Class A.
Regressed Prices |
| Timeline |
Pair Trading with Nio
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 Nio 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 Nio will appreciate offsetting losses from the drop in the long position's value.Moving together with Nio Stock
Moving against Nio Stock
| 0.82 | DORM | Dorman Products | PairCorr |
| 0.79 | GM | General Motors Aggressive Push | PairCorr |
| 0.62 | WKSP | Worksport | PairCorr |
| 0.55 | GT | Goodyear Tire Rubber | PairCorr |
| 0.54 | WKHS | Workhorse Group | PairCorr |
The ability to find closely correlated positions to Nio could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Nio 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 Nio - 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 Nio Class A to buy it.
The correlation of Nio 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 Nio moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Nio Class A 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 Nio 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 Nio Correlation, Nio Volatility and Nio Alpha and Beta module to complement your research on Nio. You can also try the Crypto Correlations module to use cryptocurrency correlation module to diversify your cryptocurrency portfolio across multiple coins.
Nio 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.