Lombard Market Value
| BARD Crypto | USD 0.82 0.04 5.13% |
| Symbol | Lombard |
Lombard '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 Lombard's crypto coin 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 Lombard.
| 11/14/2025 |
| 01/13/2026 |
If you would invest 0.00 in Lombard on November 14, 2025 and sell it all today you would earn a total of 0.00 from holding Lombard or generate 0.0% return on investment in Lombard over 60 days. Lombard is related to or competes with Staked Ether, EigenLayer, Morpho, and DIA. Lombard is peer-to-peer digital currency powered by the Blockchain technology.
Lombard 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 Lombard's crypto coin 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 Lombard upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 4.52 | |||
| Information Ratio | 0.0832 | |||
| Maximum Drawdown | 21.73 | |||
| Value At Risk | (5.81) | |||
| Potential Upside | 5.88 |
Lombard Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Lombard's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Lombard's standard deviation. In reality, there are many statistical measures that can use Lombard historical prices to predict the future Lombard's volatility.| Risk Adjusted Performance | 0.0888 | |||
| Jensen Alpha | 0.4717 | |||
| Total Risk Alpha | (0.04) | |||
| Sortino Ratio | 0.0704 | |||
| Treynor Ratio | (0.53) |
Lombard Backtested Returns
Lombard is abnormally risky given 3 months investment horizon. Lombard has Sharpe Ratio of 0.13, which conveys that digital coin had a 0.13 % return per unit of risk over the last 3 months. We were able to break down twenty-seven different technical indicators, which can help you to evaluate if expected returns of 16.31% are justified by taking the suggested risk. Use Lombard Mean Deviation of 2.65, downside deviation of 4.52, and Risk Adjusted Performance of 0.0888 to evaluate coin specific risk that cannot be diversified away. The crypto secures a Beta (Market Risk) of -0.77, which conveys possible diversification benefits within a given portfolio. As returns on the market increase, returns on owning Lombard are expected to decrease at a much lower rate. During the bear market, Lombard is likely to outperform the market.
Auto-correlation | -0.11 |
Insignificant reverse predictability
Lombard has insignificant reverse predictability. Overlapping area represents the amount of predictability between Lombard time series from 14th of November 2025 to 14th of December 2025 and 14th of December 2025 to 13th 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 Lombard price movement. The serial correlation of -0.11 indicates that less than 11.0% of current Lombard price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.11 | |
| Spearman Rank Test | 0.07 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
Lombard lagged returns against current returns
Autocorrelation, which is Lombard crypto coin'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 Lombard's crypto coin expected returns. We can calculate the autocorrelation of Lombard returns to help us make a trade decision. For example, suppose you find that Lombard has exhibited high autocorrelation historically, and you observe that the crypto coin 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 |
Lombard 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 Lombard crypto coin is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Lombard crypto coin is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Lombard crypto coin over time.
Current vs Lagged Prices |
| Timeline |
Lombard Lagged Returns
When evaluating Lombard's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Lombard crypto coin have on its future price. Lombard 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, Lombard autocorrelation shows the relationship between Lombard crypto coin current value and its past values and can show if there is a momentum factor associated with investing in Lombard.
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.When determining whether Lombard offers a strong return on investment in its stock, a comprehensive analysis is essential. The process typically begins with a thorough review of Lombard's financial statements, including income statements, balance sheets, and cash flow statements, to assess its financial health. Key financial ratios are used to gauge profitability, efficiency, and growth potential of Lombard Crypto.Check out Lombard Correlation, Lombard Volatility and Investing Opportunities module to complement your research on Lombard. You can also try the Content Syndication module to quickly integrate customizable finance content to your own investment portal.
Lombard technical crypto coin 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, crypto market cycles, or different charting patterns.