Wilson Bayly's market value is the price at which a share of Wilson Bayly trades on a public exchange. It measures the collective expectations of Wilson Bayly Holmes investors about its performance. Wilson Bayly is trading at 20857.00 as of the 10th of January 2025, a 3.11 percent decrease since the beginning of the trading day. The stock's lowest day price was 20857.0. With this module, you can estimate the performance of a buy and hold strategy of Wilson Bayly Holmes and determine expected loss or profit from investing in Wilson Bayly over a given investment horizon. Check out Wilson Bayly Correlation, Wilson Bayly Volatility and Wilson Bayly Alpha and Beta module to complement your research on Wilson Bayly.
Please note, there is a significant difference between Wilson Bayly's value and its price as these two are different measures arrived at by different means. Investors typically determine if Wilson Bayly is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Wilson Bayly'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.
Wilson Bayly '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 Wilson Bayly'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 Wilson Bayly.
Understanding different market momentum indicators often help investors to time their next move. Potential upside and downside technical ratios enable traders to measure Wilson Bayly'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 Wilson Bayly Holmes 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 Wilson Bayly's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Wilson Bayly's standard deviation. In reality, there are many statistical measures that can use Wilson Bayly historical prices to predict the future Wilson Bayly's volatility.
Wilson Bayly Holmes shows Sharpe Ratio of -0.0486, which attests that the company had a -0.0486% return per unit of risk over the last 3 months. Wilson Bayly Holmes exposes twenty-four different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please check out Wilson Bayly's Mean Deviation of 1.22, market risk adjusted performance of 1.1, and Standard Deviation of 1.78 to validate the risk estimate we provide. The firm maintains a market beta of -0.0564, which attests to not very significant fluctuations relative to the market. As returns on the market increase, returns on owning Wilson Bayly are expected to decrease at a much lower rate. During the bear market, Wilson Bayly is likely to outperform the market. At this point, Wilson Bayly Holmes has a negative expected return of -0.0867%. Please make sure to check out Wilson Bayly's maximum drawdown, kurtosis, day median price, as well as the relationship between the potential upside and daily balance of power , to decide if Wilson Bayly Holmes performance from the past will be repeated at some point in the near future.
Auto-correlation
0.14
Insignificant predictability
Wilson Bayly Holmes has insignificant predictability. Overlapping area represents the amount of predictability between Wilson Bayly time series from 11th of December 2024 to 26th of December 2024 and 26th of December 2024 to 10th of January 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 Wilson Bayly Holmes price movement. The serial correlation of 0.14 indicates that less than 14.0% of current Wilson Bayly price fluctuation can be explain by its past prices.
Correlation Coefficient
0.14
Spearman Rank Test
-0.25
Residual Average
0.0
Price Variance
547.9 K
Wilson Bayly Holmes lagged returns against current returns
Autocorrelation, which is Wilson Bayly 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 Wilson Bayly's stock expected returns. We can calculate the autocorrelation of Wilson Bayly returns to help us make a trade decision. For example, suppose you find that Wilson Bayly 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
Wilson Bayly 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 Wilson Bayly stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Wilson Bayly stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Wilson Bayly stock over time.
Current vs Lagged Prices
Timeline
Wilson Bayly Lagged Returns
When evaluating Wilson Bayly's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Wilson Bayly stock have on its future price. Wilson Bayly 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, Wilson Bayly autocorrelation shows the relationship between Wilson Bayly stock current value and its past values and can show if there is a momentum factor associated with investing in Wilson Bayly Holmes.
Regressed Prices
Timeline
Also Currently Popular
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.
Wilson Bayly financial ratios help investors to determine whether Wilson Stock is cheap or expensive when compared to a particular measure, such as profits or enterprise value. In other words, they help investors to determine the cost of investment in Wilson with respect to the benefits of owning Wilson Bayly security.