Kldiscovery Stock Market Value
KLDiscovery's market value is the price at which a share of KLDiscovery trades on a public exchange. It measures the collective expectations of KLDiscovery investors about its performance. With this module, you can estimate the performance of a buy and hold strategy of KLDiscovery and determine expected loss or profit from investing in KLDiscovery over a given investment horizon. Check out KLDiscovery Correlation, KLDiscovery Volatility and KLDiscovery Alpha and Beta module to complement your research on KLDiscovery.
| Symbol | KLDiscovery |
KLDiscovery '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 KLDiscovery's pink sheet 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 KLDiscovery.
| 12/09/2025 |
| 01/08/2026 |
If you would invest 0.00 in KLDiscovery on December 9, 2025 and sell it all today you would earn a total of 0.00 from holding KLDiscovery or generate 0.0% return on investment in KLDiscovery over 30 days. KLDiscovery Inc. provides eDiscovery, information governance, and data recovery solutions to corporations, law firms, go... More
KLDiscovery 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 KLDiscovery's pink sheet 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 KLDiscovery upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | 0.0494 | |||
| Maximum Drawdown | 150.0 |
KLDiscovery Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for KLDiscovery's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as KLDiscovery's standard deviation. In reality, there are many statistical measures that can use KLDiscovery historical prices to predict the future KLDiscovery's volatility.| Risk Adjusted Performance | 0.05 | |||
| Jensen Alpha | 0.4487 | |||
| Total Risk Alpha | (0.44) | |||
| Treynor Ratio | 0.159 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of KLDiscovery'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.
KLDiscovery Backtested Returns
KLDiscovery has Sharpe Ratio of -0.0424, which conveys that the firm had a -0.0424 % return per unit of return volatility over the last 3 months. KLDiscovery exposes thirteen different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please verify KLDiscovery's Mean Deviation of 3.01, standard deviation of 13.85, and Risk Adjusted Performance of 0.05 to check out the risk estimate we provide. The company secures a Beta (Market Risk) of 4.7, 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, KLDiscovery will likely underperform. At this point, KLDiscovery has a negative expected return of -0.82%. Please make sure to verify KLDiscovery's mean deviation, total risk alpha, as well as the relationship between the Total Risk Alpha and kurtosis , to decide if KLDiscovery performance from the past will be repeated in the future.
Auto-correlation | 0.00 |
No correlation between past and present
KLDiscovery has no correlation between past and present. Overlapping area represents the amount of predictability between KLDiscovery time series from 9th of December 2025 to 24th of December 2025 and 24th of December 2025 to 8th of January 2026. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of KLDiscovery price movement. The serial correlation of 0.0 indicates that just 0.0% of current KLDiscovery price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.0 | |
| Spearman Rank Test | 1.0 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
KLDiscovery lagged returns against current returns
Autocorrelation, which is KLDiscovery pink sheet'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 KLDiscovery's pink sheet expected returns. We can calculate the autocorrelation of KLDiscovery returns to help us make a trade decision. For example, suppose you find that KLDiscovery has exhibited high autocorrelation historically, and you observe that the pink sheet 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 |
KLDiscovery 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 KLDiscovery pink sheet is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if KLDiscovery pink sheet is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in KLDiscovery pink sheet over time.
Current vs Lagged Prices |
| Timeline |
KLDiscovery Lagged Returns
When evaluating KLDiscovery's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of KLDiscovery pink sheet have on its future price. KLDiscovery 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, KLDiscovery autocorrelation shows the relationship between KLDiscovery pink sheet current value and its past values and can show if there is a momentum factor associated with investing in KLDiscovery.
Regressed Prices |
| Timeline |
Currently Active Assets on Macroaxis
Other Information on Investing in KLDiscovery Pink Sheet
KLDiscovery financial ratios help investors to determine whether KLDiscovery Pink Sheet 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 KLDiscovery with respect to the benefits of owning KLDiscovery security.