Northern Etf Market Value
| MPRO Etf | USD 24.49 0.09 0.37% |
| 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.
| 10/10/2021 |
| 09/30/2023 |
If you would invest 0.00 in Northern Lights on October 10, 2021 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 720 days. Northern Lights is related to or competes with First Trust, Collaborative Investment, MerlynAI SectorSurfer, ASYMmetric Smart, Akros Monthly, Arrow DWA, and Northern Lights. The fund generally invests at least 80 percent of its total assets in the component securities of the index 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.
| Information Ratio | (0.09) | |||
| Maximum Drawdown | 3.91 | |||
| Value At Risk | (0.87) | |||
| Potential Upside | 0.7785 |
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 | (0.08) | |||
| Jensen Alpha | (0.06) | |||
| Total Risk Alpha | (0.05) | |||
| Treynor Ratio | (0.12) |
Sophisticated investors, who have witnessed many market ups and downs, frequently view the market will even out over time. This tendency of Northern Lights' 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. Please use the tools below to analyze the current value of Northern Lights in the context of predictive analytics.
Northern Lights Backtested Returns
Northern Lights has Sharpe Ratio of -0.22, which conveys that the entity had -0.22% of return per unit of risk over the last 3 months. Our standpoint towards estimating the risk of any etf is to look at both systematic and unsystematic factors of the business, including all available market data and technical indicators. Northern Lights exposes fifteen different technical indicators, which can help you to evaluate volatility embedded in its stock price that cannot be diversified away. Please verify Northern Lights Mean Deviation of 0.4006, risk adjusted performance of (0.08), and Standard Deviation of 0.5564 to check out the risk estimate we provide. The etf secures a Beta (Market Risk) of 0.6564, 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 on holding Northern Lights will be expected to be smaller as well. Even though it is essential to pay attention to Northern Lights price patterns, it is always good to be careful when utilizing equity historical price patterns. Our philosophy towards estimating any etf's future performance is to check both, its past performance charts as well as the business as a whole, including all available technical indicators. Northern Lights exposes fifteen different technical indicators, which can help you to evaluate its performance.
Auto-correlation | -0.31 |
Poor reverse predictability
Northern Lights has poor reverse predictability. Overlapping area represents the amount of predictability between Northern Lights time series from 10th of October 2021 to 5th of October 2022 and 5th of October 2022 to 30th of September 2023. 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 -0.31 indicates that nearly 31.0% of current Northern Lights price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.31 | |
| Spearman Rank Test | -0.41 | |
| Residual Average | 0.0 | |
| Price Variance | 0.42 |
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 etf 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 stock 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 |
Be your own money manager
Our tools can tell you how much better you can do entering a position in Northern Lights without increasing your portfolio risk or giving up the expected return. As an individual investor, you need to find a reliable way to track all your investment portfolios. However, your requirements will often be based on how much of the process you decide to do yourself. In addition to allowing all investors analytical transparency into all their portfolios, our tools can evaluate risk-adjusted returns of your individual positions relative to your overall portfolio.Did you try this?
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| All Next | Launch Module |
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Check out Northern Lights Correlation, Northern Lights Volatility and Northern Lights Alpha and Beta module to complement your research on Northern Lights. To learn how to invest in Northern Etf, please use our How to Invest in Northern Lights guide. You can also try the Correlation Analysis module to reduce portfolio risk simply by holding instruments which are not perfectly correlated.
Complementary Tools for Northern Etf analysis
When running Northern Lights' price analysis, check to measure Northern Lights' 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 Northern Lights is operating at the current time. Most of Northern Lights' value examination focuses on studying past and present price action to predict the probability of Northern Lights' future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Northern Lights' price. Additionally, you may evaluate how the addition of Northern Lights to your portfolios can decrease your overall portfolio volatility.
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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.