Learning Technologies' market value is the price at which a share of Learning Technologies trades on a public exchange. It measures the collective expectations of Learning Technologies Group investors about its performance. Learning Technologies is trading at 98.10 as of the 4th of January 2025, a 0.10 percent increase since the beginning of the trading day. The stock's lowest day price was 97.9. With this module, you can estimate the performance of a buy and hold strategy of Learning Technologies Group and determine expected loss or profit from investing in Learning Technologies over a given investment horizon. Check out Learning Technologies Correlation, Learning Technologies Volatility and Learning Technologies Alpha and Beta module to complement your research on Learning Technologies.
Please note, there is a significant difference between Learning Technologies' value and its price as these two are different measures arrived at by different means. Investors typically determine if Learning Technologies is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Learning Technologies' 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.
Learning Technologies '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 Learning Technologies' 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 Learning Technologies.
Understanding different market momentum indicators often help investors to time their next move. Potential upside and downside technical ratios enable traders to measure Learning Technologies' 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 Learning Technologies Group 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 Learning Technologies' investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Learning Technologies' standard deviation. In reality, there are many statistical measures that can use Learning Technologies historical prices to predict the future Learning Technologies' volatility.
At this point, Learning Technologies is very steady. Learning Technologies has Sharpe Ratio of 0.0599, which conveys that the firm had a 0.0599% return per unit of risk over the last 3 months. We have found twenty-nine technical indicators for Learning Technologies, which you can use to evaluate the volatility of the firm. Please verify Learning Technologies' Mean Deviation of 0.792, risk adjusted performance of 0.0524, and Downside Deviation of 1.01 to check out if the risk estimate we provide is consistent with the expected return of 0.079%. Learning Technologies has a performance score of 4 on a scale of 0 to 100. The company secures a Beta (Market Risk) of -0.33, which conveys possible diversification benefits within a given portfolio. As returns on the market increase, returns on owning Learning Technologies are expected to decrease at a much lower rate. During the bear market, Learning Technologies is likely to outperform the market. Learning Technologies right now secures a risk of 1.32%. Please verify Learning Technologies Group jensen alpha, maximum drawdown, and the relationship between the coefficient of variation and sortino ratio , to decide if Learning Technologies Group will be following its current price movements.
Auto-correlation
-0.77
Almost perfect reverse predictability
Learning Technologies Group has almost perfect reverse predictability. Overlapping area represents the amount of predictability between Learning Technologies time series from 5th of November 2024 to 5th of December 2024 and 5th of December 2024 to 4th 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 Learning Technologies price movement. The serial correlation of -0.77 indicates that around 77.0% of current Learning Technologies price fluctuation can be explain by its past prices.
Correlation Coefficient
-0.77
Spearman Rank Test
-0.19
Residual Average
0.0
Price Variance
0.05
Learning Technologies lagged returns against current returns
Autocorrelation, which is Learning Technologies 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 Learning Technologies' stock expected returns. We can calculate the autocorrelation of Learning Technologies returns to help us make a trade decision. For example, suppose you find that Learning Technologies 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
Learning Technologies 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 Learning Technologies stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Learning Technologies stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Learning Technologies stock over time.
Current vs Lagged Prices
Timeline
Learning Technologies Lagged Returns
When evaluating Learning Technologies' market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Learning Technologies stock have on its future price. Learning Technologies 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, Learning Technologies autocorrelation shows the relationship between Learning Technologies stock current value and its past values and can show if there is a momentum factor associated with investing in Learning Technologies Group.
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.
Learning Technologies financial ratios help investors to determine whether Learning 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 Learning with respect to the benefits of owning Learning Technologies security.