SpartanNash (Germany) Market Value
| SRJ Stock | EUR 17.80 0.10 0.56% |
| Symbol | SpartanNash |
SpartanNash '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 SpartanNash'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 SpartanNash.
| 03/20/2024 |
| 04/19/2024 |
If you would invest 0.00 in SpartanNash on March 20, 2024 and sell it all today you would earn a total of 0.00 from holding SpartanNash or generate 0.0% return on investment in SpartanNash over 30 days. SpartanNash is related to or competes with Superior Plus, Origin Agritech, SIVERS SEMICONDUCTORS, NorAm Drilling, and Identiv. SpartanNash Company distributes and retails grocery products More
SpartanNash 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 SpartanNash'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 SpartanNash upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.14) | |||
| Maximum Drawdown | 11.19 | |||
| Value At Risk | (2.81) | |||
| Potential Upside | 1.98 |
SpartanNash Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for SpartanNash's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as SpartanNash's standard deviation. In reality, there are many statistical measures that can use SpartanNash historical prices to predict the future SpartanNash's volatility.| Risk Adjusted Performance | (0.06) | |||
| Jensen Alpha | (0.20) | |||
| Total Risk Alpha | (0.37) | |||
| Treynor Ratio | 10.27 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of SpartanNash'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.
SpartanNash Backtested Returns
SpartanNash owns Efficiency Ratio (i.e., Sharpe Ratio) of -0.0947, which indicates the firm had a -0.0947% return per unit of risk over the last 3 months. SpartanNash exposes twenty-one different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please validate SpartanNash's Variance of 3.47, risk adjusted performance of (0.06), and Coefficient Of Variation of (1,000) to confirm the risk estimate we provide. The entity has a beta of -0.0191, which indicates not very significant fluctuations relative to the market. As returns on the market increase, returns on owning SpartanNash are expected to decrease at a much lower rate. During the bear market, SpartanNash is likely to outperform the market. SpartanNash has an expected return of -0.18%. Please make sure to validate SpartanNash total risk alpha, kurtosis, and the relationship between the information ratio and potential upside , to decide if SpartanNash performance from the past will be repeated at some point in the near future.
Auto-correlation | -0.47 |
Modest reverse predictability
SpartanNash has modest reverse predictability. Overlapping area represents the amount of predictability between SpartanNash time series from 20th of March 2024 to 4th of April 2024 and 4th of April 2024 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 SpartanNash price movement. The serial correlation of -0.47 indicates that about 47.0% of current SpartanNash price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.47 | |
| Spearman Rank Test | -0.27 | |
| Residual Average | 0.0 | |
| Price Variance | 0.05 |
SpartanNash lagged returns against current returns
Autocorrelation, which is SpartanNash 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 SpartanNash's stock expected returns. We can calculate the autocorrelation of SpartanNash returns to help us make a trade decision. For example, suppose you find that SpartanNash 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 |
SpartanNash 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 SpartanNash stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if SpartanNash stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in SpartanNash stock over time.
Current vs Lagged Prices |
| Timeline |
SpartanNash Lagged Returns
When evaluating SpartanNash's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of SpartanNash stock have on its future price. SpartanNash 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, SpartanNash autocorrelation shows the relationship between SpartanNash stock current value and its past values and can show if there is a momentum factor associated with investing in SpartanNash.
Regressed Prices |
| Timeline |
Some investors attempt to determine whether the market's mood is bullish or bearish by monitoring changes in market sentiment. Unlike more traditional methods such as technical analysis, investor sentiment usually refers to the aggregate attitude towards SpartanNash in the overall investment community. So, suppose investors can accurately measure the market's sentiment. In that case, they can use it for their benefit. For example, some tools to gauge market sentiment could be utilized using contrarian indexes, SpartanNash's short interest history, or implied volatility extrapolated from SpartanNash options trading.
Currently Active Assets on Macroaxis
Check out SpartanNash Correlation, SpartanNash Volatility and SpartanNash Alpha and Beta module to complement your research on SpartanNash. You can also try the Alpha Finder module to use alpha and beta coefficients to find investment opportunities after accounting for the risk.
Complementary Tools for SpartanNash Stock analysis
When running SpartanNash's price analysis, check to measure SpartanNash'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 SpartanNash is operating at the current time. Most of SpartanNash's value examination focuses on studying past and present price action to predict the probability of SpartanNash's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move SpartanNash's price. Additionally, you may evaluate how the addition of SpartanNash to your portfolios can decrease your overall portfolio volatility.
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| Aroon Oscillator Analyze current equity momentum using Aroon Oscillator and other momentum ratios | |
| Fundamental Analysis View fundamental data based on most recent published financial statements |
SpartanNash technical stock 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, stock market cycles, or different charting patterns.