Oxford Metrics (UK) Market Value
| OMG Stock | 64.20 2.20 3.55% |
| Symbol | Oxford |
Oxford Metrics '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 Oxford Metrics' 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 Oxford Metrics.
| 10/29/2024 |
| 11/28/2024 |
If you would invest 0.00 in Oxford Metrics on October 29, 2024 and sell it all today you would earn a total of 0.00 from holding Oxford Metrics plc or generate 0.0% return on investment in Oxford Metrics over 30 days. Oxford Metrics is related to or competes with GreenX Metals, Home Depot, Silvercorp Metals, Power Metal, Gaztransport, Infrastrutture Wireless, and American Homes. Oxford Metrics is entity of United Kingdom More
Oxford Metrics 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 Oxford Metrics' 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 Oxford Metrics plc upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.15) | |||
| Maximum Drawdown | 23.81 | |||
| Value At Risk | (3.51) | |||
| Potential Upside | 4.21 |
Oxford Metrics Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Oxford Metrics' investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Oxford Metrics' standard deviation. In reality, there are many statistical measures that can use Oxford Metrics historical prices to predict the future Oxford Metrics' volatility.| Risk Adjusted Performance | (0.08) | |||
| Jensen Alpha | (0.45) | |||
| Total Risk Alpha | (0.93) | |||
| Treynor Ratio | (1.03) |
Oxford Metrics plc Backtested Returns
Oxford Metrics plc maintains Sharpe Ratio (i.e., Efficiency) of -0.0906, which implies the firm had a -0.0906% return per unit of risk over the last 3 months. Oxford Metrics plc exposes twenty-two different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please check Oxford Metrics' Variance of 12.11, coefficient of variation of (882.47), and Risk Adjusted Performance of (0.08) to confirm the risk estimate we provide. The company holds a Beta of 0.39, which implies possible diversification benefits within a given portfolio. As returns on the market increase, Oxford Metrics' returns are expected to increase less than the market. However, during the bear market, the loss of holding Oxford Metrics is expected to be smaller as well. At this point, Oxford Metrics plc has a negative expected return of -0.32%. Please make sure to check Oxford Metrics' maximum drawdown, accumulation distribution, and the relationship between the total risk alpha and skewness , to decide if Oxford Metrics plc performance from the past will be repeated at some point in the near future.
Auto-correlation | -0.51 |
Good reverse predictability
Oxford Metrics plc has good reverse predictability. Overlapping area represents the amount of predictability between Oxford Metrics time series from 29th of October 2024 to 13th of November 2024 and 13th of November 2024 to 28th of November 2024. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of Oxford Metrics plc price movement. The serial correlation of -0.51 indicates that about 51.0% of current Oxford Metrics price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.51 | |
| Spearman Rank Test | -0.63 | |
| Residual Average | 0.0 | |
| Price Variance | 0.72 |
Oxford Metrics plc lagged returns against current returns
Autocorrelation, which is Oxford Metrics 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 Oxford Metrics' stock expected returns. We can calculate the autocorrelation of Oxford Metrics returns to help us make a trade decision. For example, suppose you find that Oxford Metrics 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 |
Oxford Metrics 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 Oxford Metrics stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Oxford Metrics stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Oxford Metrics stock over time.
Current vs Lagged Prices |
| Timeline |
Oxford Metrics Lagged Returns
When evaluating Oxford Metrics' market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Oxford Metrics stock have on its future price. Oxford Metrics 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, Oxford Metrics autocorrelation shows the relationship between Oxford Metrics stock current value and its past values and can show if there is a momentum factor associated with investing in Oxford Metrics plc.
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.Other Information on Investing in Oxford Stock
Oxford Metrics financial ratios help investors to determine whether Oxford 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 Oxford with respect to the benefits of owning Oxford Metrics security.