Nerdwallet Stock Market Value
| NRDS Stock | USD 13.95 0.10 0.71% |
| Symbol | Nerdwallet |
Nerdwallet Price To Book Ratio
Is Nerdwallet'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 Nerdwallet. If investors know Nerdwallet 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 Nerdwallet 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 (0.50) | Earnings Share (0.16) | Revenue Per Share 7.679 | Quarterly Revenue Growth (0.04) | Return On Assets 0.0134 |
The market value of Nerdwallet is measured differently than its book value, which is the value of Nerdwallet that is recorded on the company's balance sheet. Investors also form their own opinion of Nerdwallet's value that differs from its market value or its book value, called intrinsic value, which is Nerdwallet'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 Nerdwallet's market value can be influenced by many factors that don't directly affect Nerdwallet'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 Nerdwallet's value and its price as these two are different measures arrived at by different means. Investors typically determine if Nerdwallet is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Nerdwallet'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.
Nerdwallet '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 Nerdwallet'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 Nerdwallet.
| 03/02/2024 |
| 05/31/2024 |
If you would invest 0.00 in Nerdwallet on March 2, 2024 and sell it all today you would earn a total of 0.00 from holding Nerdwallet or generate 0.0% return on investment in Nerdwallet over 90 days. Nerdwallet is related to or competes with Payoneer Global, Talkspace, Taboola, and AST SpaceMobile. NerdWallet, Inc. operates a digital platform that provides consumer-driven advice about personal finance by connecting i... More
Nerdwallet 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 Nerdwallet'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 Nerdwallet upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.13) | |||
| Maximum Drawdown | 10.24 | |||
| Value At Risk | (3.73) | |||
| Potential Upside | 3.67 |
Nerdwallet Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Nerdwallet's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Nerdwallet's standard deviation. In reality, there are many statistical measures that can use Nerdwallet historical prices to predict the future Nerdwallet's volatility.| Risk Adjusted Performance | (0.06) | |||
| Jensen Alpha | (0.30) | |||
| Total Risk Alpha | (0.32) | |||
| Treynor Ratio | (0.15) |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Nerdwallet'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.
Nerdwallet Backtested Returns
Nerdwallet has Sharpe Ratio of -0.12, which conveys that the firm had a -0.12% return per unit of risk over the last 3 months. Nerdwallet exposes twenty-one different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please verify Nerdwallet's Risk Adjusted Performance of (0.06), standard deviation of 2.22, and Mean Deviation of 1.72 to check out the risk estimate we provide. The company secures a Beta (Market Risk) of 1.78, which conveys 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, Nerdwallet will likely underperform. Nerdwallet has an expected return of -0.27%. Please make sure to verify Nerdwallet total risk alpha, daily balance of power, as well as the relationship between the Daily Balance Of Power and period momentum indicator , to decide if Nerdwallet performance from the past will be repeated at some point in the near future.
Auto-correlation | -0.35 |
Poor reverse predictability
Nerdwallet has poor reverse predictability. Overlapping area represents the amount of predictability between Nerdwallet time series from 2nd of March 2024 to 16th of April 2024 and 16th of April 2024 to 31st of May 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 Nerdwallet price movement. The serial correlation of -0.35 indicates that nearly 35.0% of current Nerdwallet price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.35 | |
| Spearman Rank Test | -0.5 | |
| Residual Average | 0.0 | |
| Price Variance | 0.18 |
Nerdwallet lagged returns against current returns
Autocorrelation, which is Nerdwallet 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 Nerdwallet's stock expected returns. We can calculate the autocorrelation of Nerdwallet returns to help us make a trade decision. For example, suppose you find that Nerdwallet 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 |
Nerdwallet 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 Nerdwallet stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Nerdwallet stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Nerdwallet stock over time.
Current vs Lagged Prices |
| Timeline |
Nerdwallet Lagged Returns
When evaluating Nerdwallet's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Nerdwallet stock have on its future price. Nerdwallet 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, Nerdwallet autocorrelation shows the relationship between Nerdwallet stock current value and its past values and can show if there is a momentum factor associated with investing in Nerdwallet.
Regressed Prices |
| Timeline |
Pair Trading with Nerdwallet
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 Nerdwallet 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 Nerdwallet will appreciate offsetting losses from the drop in the long position's value.Moving together with Nerdwallet Stock
| 0.9 | Z | Zillow Group Class Sell-off Trend | PairCorr |
Moving against Nerdwallet Stock
| 0.79 | GOOG | Alphabet Class C | PairCorr |
| 0.61 | BZ | Kanzhun Ltd ADR | PairCorr |
| 0.61 | TME | Tencent Music Entert | PairCorr |
| 0.59 | EVER | EverQuote Class A | PairCorr |
| 0.58 | FENG | Phoenix New Media Buyout Trend | PairCorr |
The ability to find closely correlated positions to Nerdwallet could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Nerdwallet 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 Nerdwallet - 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 Nerdwallet to buy it.
The correlation of Nerdwallet 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 Nerdwallet moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Nerdwallet 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 Nerdwallet 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 Nerdwallet Correlation, Nerdwallet Volatility and Nerdwallet Alpha and Beta module to complement your research on Nerdwallet. For more information on how to buy Nerdwallet Stock please use our How to Invest in Nerdwallet guide.Note that the Nerdwallet information on this page should be used as a complementary analysis to other Nerdwallet'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 Sectors module to list of equity sectors categorizing publicly traded companies based on their primary business activities.
Complementary Tools for Nerdwallet Stock analysis
When running Nerdwallet's price analysis, check to measure Nerdwallet'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 Nerdwallet is operating at the current time. Most of Nerdwallet's value examination focuses on studying past and present price action to predict the probability of Nerdwallet's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Nerdwallet's price. Additionally, you may evaluate how the addition of Nerdwallet to your portfolios can decrease your overall portfolio volatility.
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Nerdwallet 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.