We Buy's market value is the price at which a share of We Buy trades on a public exchange. It measures the collective expectations of We Buy Cars investors about its performance. We Buy is trading at 4286.00 as of the 17th of March 2025, a 0.75 percent increase since the beginning of the trading day. The stock's lowest day price was 4237.0. With this module, you can estimate the performance of a buy and hold strategy of We Buy Cars and determine expected loss or profit from investing in We Buy over a given investment horizon. Check out Your Current Watchlist to better understand how to build diversified portfolios. Also, note that the market value of any company could be closely tied with the direction of predictive economic indicators such as signals in inflation.
Symbol
WBC
We Buy '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 We Buy'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 We Buy.
0.00
12/17/2024
No Change 0.00
0.0
In 2 months and 31 days
03/17/2025
0.00
If you would invest 0.00 in We Buy on December 17, 2024 and sell it all today you would earn a total of 0.00 from holding We Buy Cars or generate 0.0% return on investment in We Buy over 90 days.
We Buy 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 We Buy'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 We Buy Cars upside and downside potential and time the market with a certain degree of confidence.
Today, many novice investors tend to focus exclusively on investment returns with little concern for We Buy's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as We Buy's standard deviation. In reality, there are many statistical measures that can use We Buy historical prices to predict the future We Buy's volatility.
We Buy Cars retains Efficiency (Sharpe Ratio) of -0.0214, which attests that the company had a -0.0214 % return per unit of price deviation over the last 3 months. We Buy exposes twenty-four different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please check out We Buy's information ratio of (0.04), and Market Risk Adjusted Performance of (0.28) to validate the risk estimate we provide. The firm owns a Beta (Systematic Risk) of 0.61, which attests to possible diversification benefits within a given portfolio. As returns on the market increase, We Buy's returns are expected to increase less than the market. However, during the bear market, the loss of holding We Buy is expected to be smaller as well. At this point, We Buy Cars has a negative expected return of -0.0398%. Please make sure to check out We Buy's total risk alpha, potential upside, and the relationship between the standard deviation and maximum drawdown , to decide if We Buy Cars performance from the past will be repeated in the future.
Auto-correlation
0.41
Average predictability
We Buy Cars has average predictability. Overlapping area represents the amount of predictability between We Buy time series from 17th of December 2024 to 31st of January 2025 and 31st of January 2025 to 17th of March 2025. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of We Buy Cars price movement. The serial correlation of 0.41 indicates that just about 41.0% of current We Buy price fluctuation can be explain by its past prices.
Correlation Coefficient
0.41
Spearman Rank Test
0.01
Residual Average
0.0
Price Variance
20.5 K
We Buy Cars lagged returns against current returns
Autocorrelation, which is We Buy 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 We Buy's stock expected returns. We can calculate the autocorrelation of We Buy returns to help us make a trade decision. For example, suppose you find that We Buy 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
We Buy 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 We Buy stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if We Buy stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in We Buy stock over time.
Current vs Lagged Prices
Timeline
We Buy Lagged Returns
When evaluating We Buy's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of We Buy stock have on its future price. We Buy 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, We Buy autocorrelation shows the relationship between We Buy stock current value and its past values and can show if there is a momentum factor associated with investing in We Buy Cars.
Regressed Prices
Timeline
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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.