Jernimo Martins Sgps Stock Market Value

JRONF Stock  USD 19.23  0.00  0.00%   
Jernimo Martins' market value is the price at which a share of Jernimo Martins trades on a public exchange. It measures the collective expectations of Jernimo Martins SGPS investors about its performance. Jernimo Martins is trading at 19.23 as of the 19th of April 2024. This is a No Change since the beginning of the trading day. The stock's lowest day price was 19.23.
With this module, you can estimate the performance of a buy and hold strategy of Jernimo Martins SGPS and determine expected loss or profit from investing in Jernimo Martins over a given investment horizon. Check out Jernimo Martins Correlation, Jernimo Martins Volatility and Jernimo Martins Alpha and Beta module to complement your research on Jernimo Martins.
Symbol

Please note, there is a significant difference between Jernimo Martins' value and its price as these two are different measures arrived at by different means. Investors typically determine if Jernimo Martins is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Jernimo Martins' price is the amount at which it trades on the open market and represents the number that a seller and buyer find agreeable to each party.

Jernimo Martins '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 Jernimo Martins' 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 Jernimo Martins.
0.00
04/25/2023
No Change 0.00  0.0 
In 11 months and 27 days
04/19/2024
0.00
If you would invest  0.00  in Jernimo Martins on April 25, 2023 and sell it all today you would earn a total of 0.00 from holding Jernimo Martins SGPS or generate 0.0% return on investment in Jernimo Martins over 360 days. Jernimo Martins is related to or competes with HUMANA, Barloworld, Thrivent High, Morningstar Unconstrained, High Yield, Via Renewables, and T Rowe. Jernimo Martins, SGPS, S.A. operates in the food distribution and specialized retail sectors in Portugal, Poland, and Co... More

Jernimo Martins 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 Jernimo Martins' 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 Jernimo Martins SGPS upside and downside potential and time the market with a certain degree of confidence.

Jernimo Martins Market Risk Indicators

Today, many novice investors tend to focus exclusively on investment returns with little concern for Jernimo Martins' investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Jernimo Martins' standard deviation. In reality, there are many statistical measures that can use Jernimo Martins historical prices to predict the future Jernimo Martins' volatility.
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Jernimo Martins' 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.
Hype
Prediction
LowEstimatedHigh
17.1919.2321.27
Details
Intrinsic
Valuation
LowRealHigh
18.4820.5222.56
Details
Naive
Forecast
LowNextHigh
17.5419.5821.61
Details
Bollinger
Band Projection (param)
LowerMiddle BandUpper
19.2319.2319.23
Details
Please note, it is not enough to conduct a financial or market analysis of a single entity such as Jernimo Martins. Your research has to be compared to or analyzed against Jernimo Martins' peers to derive any actionable benefits. When done correctly, Jernimo Martins' competitive analysis will give you plenty of quantitative and qualitative data to validate your investment decisions or develop an entirely new strategy toward taking a position in Jernimo Martins SGPS.

Jernimo Martins SGPS Backtested Returns

Jernimo Martins SGPS holds Efficiency (Sharpe) Ratio of -0.18, which attests that the entity had a -0.18% return per unit of risk over the last 3 months. Jernimo Martins SGPS exposes sixteen different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please check out Jernimo Martins' Market Risk Adjusted Performance of (1.32), risk adjusted performance of (0.1), and Standard Deviation of 1.97 to validate the risk estimate we provide. The company retains a Market Volatility (i.e., Beta) of 0.26, which attests to not very significant fluctuations relative to the market. As returns on the market increase, Jernimo Martins' returns are expected to increase less than the market. However, during the bear market, the loss of holding Jernimo Martins is expected to be smaller as well. Jernimo Martins SGPS has an expected return of -0.36%. Please make sure to check out Jernimo Martins treynor ratio and rate of daily change , to decide if Jernimo Martins SGPS performance from the past will be repeated at some point in the near future.

Auto-correlation

    
  0.12  

Insignificant predictability

Jernimo Martins SGPS has insignificant predictability. Overlapping area represents the amount of predictability between Jernimo Martins time series from 25th of April 2023 to 22nd of October 2023 and 22nd of October 2023 to 19th 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 Jernimo Martins SGPS price movement. The serial correlation of 0.12 indicates that less than 12.0% of current Jernimo Martins price fluctuation can be explain by its past prices.
Correlation Coefficient0.12
Spearman Rank Test-0.36
Residual Average0.0
Price Variance1.74

Jernimo Martins SGPS lagged returns against current returns

Autocorrelation, which is Jernimo Martins 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 Jernimo Martins' pink sheet expected returns. We can calculate the autocorrelation of Jernimo Martins returns to help us make a trade decision. For example, suppose you find that Jernimo Martins 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  

Jernimo Martins 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 Jernimo Martins pink sheet is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Jernimo Martins pink sheet is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Jernimo Martins pink sheet over time.
   Current vs Lagged Prices   
       Timeline  

Jernimo Martins Lagged Returns

When evaluating Jernimo Martins' market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Jernimo Martins pink sheet have on its future price. Jernimo Martins 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, Jernimo Martins autocorrelation shows the relationship between Jernimo Martins pink sheet current value and its past values and can show if there is a momentum factor associated with investing in Jernimo Martins SGPS.
   Regressed Prices   
       Timeline  

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Check out Jernimo Martins Correlation, Jernimo Martins Volatility and Jernimo Martins Alpha and Beta module to complement your research on Jernimo Martins.
You can also try the Equity Forecasting module to use basic forecasting models to generate price predictions and determine price momentum.

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When running Jernimo Martins' price analysis, check to measure Jernimo Martins' 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 Jernimo Martins is operating at the current time. Most of Jernimo Martins' value examination focuses on studying past and present price action to predict the probability of Jernimo Martins' future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Jernimo Martins' price. Additionally, you may evaluate how the addition of Jernimo Martins to your portfolios can decrease your overall portfolio volatility.
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Jernimo Martins 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.
A focus of Jernimo Martins technical analysis is to determine if market prices reflect all relevant information impacting that market. A technical analyst looks at the history of Jernimo Martins trading pattern rather than external drivers such as economic, fundamental, or social events. It is believed that price action tends to repeat itself due to investors' collective, patterned behavior. Hence technical analysis focuses on identifiable price trends and conditions. More Info...