Spar Nord (Denmark) Market Value
| SPNO Stock | DKK 123.00 1.60 1.32% |
| Symbol | Spar |
Spar Nord '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 Spar Nord'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 Spar Nord.
| 03/20/2024 |
| 04/19/2024 |
If you would invest 0.00 in Spar Nord on March 20, 2024 and sell it all today you would earn a total of 0.00 from holding Spar Nord Bank or generate 0.0% return on investment in Spar Nord over 30 days. Spar Nord is related to or competes with Sydbank AS, Jyske Bank, Alm Brand, Topdanmark, and Nordea Bank. Spar Nord Bank AS provides various banking products and services to retail, business, and public sector customers in Den... More
Spar Nord 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 Spar Nord'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 Spar Nord Bank upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 2.34 | |||
| Information Ratio | 0.1115 | |||
| Maximum Drawdown | 15.63 | |||
| Value At Risk | (1.96) | |||
| Potential Upside | 3.23 |
Spar Nord Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Spar Nord's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Spar Nord's standard deviation. In reality, there are many statistical measures that can use Spar Nord historical prices to predict the future Spar Nord's volatility.| Risk Adjusted Performance | 0.0974 | |||
| Jensen Alpha | 0.2673 | |||
| Total Risk Alpha | 0.0913 | |||
| Sortino Ratio | 0.0935 | |||
| Treynor Ratio | 1.69 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Spar Nord'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.
Spar Nord Bank Backtested Returns
Spar Nord appears to be very steady, given 3 months investment horizon. Spar Nord Bank owns Efficiency Ratio (i.e., Sharpe Ratio) of 0.16, which indicates the firm had a 0.16% return per unit of risk over the last 3 months. We have found twenty-nine technical indicators for Spar Nord Bank, which you can use to evaluate the volatility of the company. Please review Spar Nord's Coefficient Of Variation of 682.44, risk adjusted performance of 0.0974, and Semi Deviation of 1.97 to confirm if our risk estimates are consistent with your expectations. On a scale of 0 to 100, Spar Nord holds a performance score of 12. The entity has a beta of 0.16, which indicates not very significant fluctuations relative to the market. As returns on the market increase, Spar Nord's returns are expected to increase less than the market. However, during the bear market, the loss of holding Spar Nord is expected to be smaller as well. Please check Spar Nord's coefficient of variation, jensen alpha, and the relationship between the downside deviation and standard deviation , to make a quick decision on whether Spar Nord's existing price patterns will revert.
Auto-correlation | -0.49 |
Modest reverse predictability
Spar Nord Bank has modest reverse predictability. Overlapping area represents the amount of predictability between Spar Nord 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 Spar Nord Bank price movement. The serial correlation of -0.49 indicates that about 49.0% of current Spar Nord price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.49 | |
| Spearman Rank Test | -0.35 | |
| Residual Average | 0.0 | |
| Price Variance | 1.98 |
Spar Nord Bank lagged returns against current returns
Autocorrelation, which is Spar Nord 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 Spar Nord's stock expected returns. We can calculate the autocorrelation of Spar Nord returns to help us make a trade decision. For example, suppose you find that Spar Nord 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 |
Spar Nord 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 Spar Nord stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Spar Nord stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Spar Nord stock over time.
Current vs Lagged Prices |
| Timeline |
Spar Nord Lagged Returns
When evaluating Spar Nord's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Spar Nord stock have on its future price. Spar Nord 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, Spar Nord autocorrelation shows the relationship between Spar Nord stock current value and its past values and can show if there is a momentum factor associated with investing in Spar Nord Bank.
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 Spar Nord 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, Spar Nord's short interest history, or implied volatility extrapolated from Spar Nord options trading.
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Check out Spar Nord Correlation, Spar Nord Volatility and Spar Nord Alpha and Beta module to complement your research on Spar Nord. You can also try the Fundamentals Comparison module to compare fundamentals across multiple equities to find investing opportunities.
Complementary Tools for Spar Stock analysis
When running Spar Nord's price analysis, check to measure Spar Nord'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 Spar Nord is operating at the current time. Most of Spar Nord's value examination focuses on studying past and present price action to predict the probability of Spar Nord's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Spar Nord's price. Additionally, you may evaluate how the addition of Spar Nord to your portfolios can decrease your overall portfolio volatility.
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Spar Nord 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.