Sempra (UK) Market Value
| 0L5A Stock | 91.41 3.20 3.38% |
| Symbol | Sempra |
Sempra '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 Sempra'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 Sempra.
| 05/09/2023 |
| 11/29/2024 |
If you would invest 0.00 in Sempra on May 9, 2023 and sell it all today you would earn a total of 0.00 from holding Sempra or generate 0.0% return on investment in Sempra over 570 days. Sempra is related to or competes with Odyssean Investment, TR Property, Park Hotels, InterContinental, New Residential, and Mercantile Investment. Sempra is entity of United Kingdom. It is traded as Stock on LSE exchange. More
Sempra 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 Sempra'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 Sempra upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 1.05 | |||
| Information Ratio | 0.0767 | |||
| Maximum Drawdown | 6.38 | |||
| Value At Risk | (1.69) | |||
| Potential Upside | 1.72 |
Sempra Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Sempra's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Sempra's standard deviation. In reality, there are many statistical measures that can use Sempra historical prices to predict the future Sempra's volatility.| Risk Adjusted Performance | 0.1392 | |||
| Jensen Alpha | 0.2317 | |||
| Total Risk Alpha | 0.0227 | |||
| Sortino Ratio | 0.0919 | |||
| Treynor Ratio | (1.22) |
Sempra Backtested Returns
Currently, Sempra is very steady. Sempra owns Efficiency Ratio (i.e., Sharpe Ratio) of 0.13, which indicates the firm had a 0.13% return per unit of risk over the last 3 months. We have found thirty technical indicators for Sempra, which you can use to evaluate the volatility of the company. Please validate Sempra's Coefficient Of Variation of 566.15, semi deviation of 0.8326, and Risk Adjusted Performance of 0.1392 to confirm if the risk estimate we provide is consistent with the expected return of 0.18%. Sempra has a performance score of 10 on a scale of 0 to 100. The entity has a beta of -0.17, which indicates not very significant fluctuations relative to the market. As returns on the market increase, returns on owning Sempra are expected to decrease at a much lower rate. During the bear market, Sempra is likely to outperform the market. Sempra right now has a risk of 1.39%. Please validate Sempra semi deviation, coefficient of variation, jensen alpha, as well as the relationship between the downside deviation and standard deviation , to decide if Sempra will be following its existing price patterns.
Auto-correlation | 0.09 |
Virtually no predictability
Sempra has virtually no predictability. Overlapping area represents the amount of predictability between Sempra time series from 9th of May 2023 to 18th of February 2024 and 18th of February 2024 to 29th 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 Sempra price movement. The serial correlation of 0.09 indicates that less than 9.0% of current Sempra price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.09 | |
| Spearman Rank Test | 0.07 | |
| Residual Average | 0.0 | |
| Price Variance | 39.66 |
Sempra lagged returns against current returns
Autocorrelation, which is Sempra 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 Sempra's stock expected returns. We can calculate the autocorrelation of Sempra returns to help us make a trade decision. For example, suppose you find that Sempra 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 |
Sempra 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 Sempra stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Sempra stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Sempra stock over time.
Current vs Lagged Prices |
| Timeline |
Sempra Lagged Returns
When evaluating Sempra's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Sempra stock have on its future price. Sempra 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, Sempra autocorrelation shows the relationship between Sempra stock current value and its past values and can show if there is a momentum factor associated with investing in Sempra.
Regressed Prices |
| Timeline |
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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.Additional Tools for Sempra Stock Analysis
When running Sempra's price analysis, check to measure Sempra's market volatility, profitability, liquidity, solvency, efficiency, growth potential, financial leverage, and other vital indicators. We have many different tools that can be utilized to determine how healthy Sempra is operating at the current time. Most of Sempra's value examination focuses on studying past and present price action to predict the probability of Sempra's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Sempra's price. Additionally, you may evaluate how the addition of Sempra to your portfolios can decrease your overall portfolio volatility.