Northern Lights Etf Market Value
| FPAG Etf | USD 31.51 0.13 0.41% |
| Symbol | Northern |
The market value of Northern Lights is measured differently than its book value, which is the value of Northern that is recorded on the company's balance sheet. Investors also form their own opinion of Northern Lights' value that differs from its market value or its book value, called intrinsic value, which is Northern Lights' true underlying value. Investors use various methods to calculate intrinsic value and buy a stock when its market value falls below its intrinsic value. Because Northern Lights' market value can be influenced by many factors that don't directly affect Northern Lights' underlying business (such as a pandemic or basic market pessimism), market value can vary widely from intrinsic value.
Please note, there is a significant difference between Northern Lights' value and its price as these two are different measures arrived at by different means. Investors typically determine if Northern Lights is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Northern Lights' 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.
Northern Lights '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 Northern Lights' etf 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 Northern Lights.
| 11/13/2024 |
| 12/13/2024 |
If you would invest 0.00 in Northern Lights on November 13, 2024 and sell it all today you would earn a total of 0.00 from holding Northern Lights or generate 0.0% return on investment in Northern Lights over 30 days. Northern Lights is related to or competes with SmartETFs Dividend, Grizzle Growth, and FMQQ Next. Although the adviser has adopted a policy to invest at least 80 percent of its assets in equity securities, the adviser ... More
Northern Lights 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 Northern Lights' etf 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 Northern Lights upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.7406 | |||
| Information Ratio | (0.01) | |||
| Maximum Drawdown | 3.58 | |||
| Value At Risk | (1.04) | |||
| Potential Upside | 1.31 |
Northern Lights Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Northern Lights' investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Northern Lights' standard deviation. In reality, there are many statistical measures that can use Northern Lights historical prices to predict the future Northern Lights' volatility.| Risk Adjusted Performance | 0.1063 | |||
| Jensen Alpha | 0.0281 | |||
| Total Risk Alpha | (0.01) | |||
| Sortino Ratio | (0.01) | |||
| Treynor Ratio | 0.1446 |
Northern Lights Backtested Returns
At this point, Northern Lights is out of control. Northern Lights has Sharpe Ratio of 0.12, which conveys that the entity had a 0.12% return per unit of risk over the last 3 months. We have found twenty-nine technical indicators for Northern Lights, which you can use to evaluate the volatility of the etf. Please verify Northern Lights' Risk Adjusted Performance of 0.1063, downside deviation of 0.7406, and Mean Deviation of 0.5525 to check out if the risk estimate we provide is consistent with the expected return of 0.085%. The etf secures a Beta (Market Risk) of 0.66, which conveys possible diversification benefits within a given portfolio. As returns on the market increase, Northern Lights' returns are expected to increase less than the market. However, during the bear market, the loss of holding Northern Lights is expected to be smaller as well.
Auto-correlation | -0.4 |
Poor reverse predictability
Northern Lights has poor reverse predictability. Overlapping area represents the amount of predictability between Northern Lights time series from 13th of November 2024 to 28th of November 2024 and 28th of November 2024 to 13th of December 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 Northern Lights price movement. The serial correlation of -0.4 indicates that just about 40.0% of current Northern Lights price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.4 | |
| Spearman Rank Test | -0.19 | |
| Residual Average | 0.0 | |
| Price Variance | 0.01 |
Northern Lights lagged returns against current returns
Autocorrelation, which is Northern Lights etf'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 Northern Lights' etf expected returns. We can calculate the autocorrelation of Northern Lights returns to help us make a trade decision. For example, suppose you find that Northern Lights has exhibited high autocorrelation historically, and you observe that the etf 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 |
Northern Lights 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 Northern Lights etf is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Northern Lights etf is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Northern Lights etf over time.
Current vs Lagged Prices |
| Timeline |
Northern Lights Lagged Returns
When evaluating Northern Lights' market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Northern Lights etf have on its future price. Northern Lights 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, Northern Lights autocorrelation shows the relationship between Northern Lights etf current value and its past values and can show if there is a momentum factor associated with investing in Northern Lights.
Regressed Prices |
| Timeline |
Currently Active Assets on Macroaxis
When determining whether Northern Lights offers a strong return on investment in its stock, a comprehensive analysis is essential. The process typically begins with a thorough review of Northern Lights' financial statements, including income statements, balance sheets, and cash flow statements, to assess its financial health. Key financial ratios are used to gauge profitability, efficiency, and growth potential of Northern Lights Etf. Outlined below are crucial reports that will aid in making a well-informed decision on Northern Lights Etf:Check out Northern Lights Correlation, Northern Lights Volatility and Northern Lights Alpha and Beta module to complement your research on Northern Lights. For more detail on how to invest in Northern Etf please use our How to Invest in Northern Lights guide.You can also try the Idea Optimizer module to use advanced portfolio builder with pre-computed micro ideas to build optimal portfolio .
Northern Lights technical etf 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, etf market cycles, or different charting patterns.