Sse Plc Stock Market Value
| SSEZF Stock | USD 20.62 0.00 0.00% |
| Symbol | SSE |
SSE Plc '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 SSE Plc'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 SSE Plc.
| 03/27/2024 |
| 04/26/2024 |
If you would invest 0.00 in SSE Plc on March 27, 2024 and sell it all today you would earn a total of 0.00 from holding SSE plc or generate 0.0% return on investment in SSE Plc over 30 days. SSE Plc is related to or competes with ENEL Societa, and Sempra Energy. SSE plc engages in the generation, transmission, distribution, and supply of electricity More
SSE Plc 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 SSE Plc'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 SSE plc upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.13) | |||
| Maximum Drawdown | 13.77 | |||
| Value At Risk | (3.29) | |||
| Potential Upside | 0.4245 |
SSE Plc Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for SSE Plc's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as SSE Plc's standard deviation. In reality, there are many statistical measures that can use SSE Plc historical prices to predict the future SSE Plc's volatility.| Risk Adjusted Performance | (0.04) | |||
| Jensen Alpha | (0.14) | |||
| Total Risk Alpha | (0.40) | |||
| Treynor Ratio | 0.5539 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of SSE Plc'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.
SSE plc Backtested Returns
SSE plc owns Efficiency Ratio (i.e., Sharpe Ratio) of -0.0165, which indicates the firm had a -0.0165% return per unit of volatility over the last 3 months. SSE plc exposes eighteen different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please validate SSE Plc's variance of 3.62, and Risk Adjusted Performance of (0.04) to confirm the risk estimate we provide. The entity has a beta of -0.3, which indicates possible diversification benefits within a given portfolio. As returns on the market increase, returns on owning SSE Plc are expected to decrease at a much lower rate. During the bear market, SSE Plc is likely to outperform the market. SSE plc has an expected return of -0.0305%. Please make sure to validate SSE Plc coefficient of variation, maximum drawdown, as well as the relationship between the Maximum Drawdown and rate of daily change , to decide if SSE plc performance from the past will be repeated at future time.
Auto-correlation | 0.00 |
No correlation between past and present
SSE plc has no correlation between past and present. Overlapping area represents the amount of predictability between SSE Plc time series from 27th of March 2024 to 11th of April 2024 and 11th of April 2024 to 26th of April 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 SSE plc price movement. The serial correlation of 0.0 indicates that just 0.0% of current SSE Plc 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 |
SSE plc lagged returns against current returns
Autocorrelation, which is SSE Plc 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 SSE Plc's pink sheet expected returns. We can calculate the autocorrelation of SSE Plc returns to help us make a trade decision. For example, suppose you find that SSE Plc 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 |
SSE Plc 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 SSE Plc pink sheet is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if SSE Plc pink sheet is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in SSE Plc pink sheet over time.
Current vs Lagged Prices |
| Timeline |
SSE Plc Lagged Returns
When evaluating SSE Plc's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of SSE Plc pink sheet have on its future price. SSE Plc 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, SSE Plc autocorrelation shows the relationship between SSE Plc pink sheet current value and its past values and can show if there is a momentum factor associated with investing in SSE plc.
Regressed Prices |
| Timeline |
Currently Active Assets on Macroaxis
Check out SSE Plc Correlation, SSE Plc Volatility and SSE Plc Alpha and Beta module to complement your research on SSE Plc. Note that the SSE plc information on this page should be used as a complementary analysis to other SSE Plc's statistical models used to find the right mix of equity instruments to add to your existing portfolios or create a brand new portfolio. You can also try the Headlines Timeline module to stay connected to all market stories and filter out noise. Drill down to analyze hype elasticity.
Complementary Tools for SSE Pink Sheet analysis
When running SSE Plc's price analysis, check to measure SSE Plc'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 SSE Plc is operating at the current time. Most of SSE Plc's value examination focuses on studying past and present price action to predict the probability of SSE Plc's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move SSE Plc's price. Additionally, you may evaluate how the addition of SSE Plc to your portfolios can decrease your overall portfolio volatility.
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SSE Plc technical pink sheet 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, pink sheet market cycles, or different charting patterns.