Northern Lights Etf Market Value
| HYTR Etf | USD 21.95 0.01 0.05% |
| 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.
| 05/04/2023 |
| 11/24/2024 |
If you would invest 0.00 in Northern Lights on May 4, 2023 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 570 days. Northern Lights is related to or competes with First Trust, FolioBeyond Rising, SSGA Active, and WisdomTree Alternative. The fund seeks to achieve its investment objective by investing at least 80 percent of its net assets in securities incl... 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 | 0.5158 | |||
| Information Ratio | (0.20) | |||
| Maximum Drawdown | 5.39 | |||
| Value At Risk | (0.27) | |||
| Potential Upside | 0.3653 |
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 | 0.0421 | |||
| Jensen Alpha | 0.0218 | |||
| Total Risk Alpha | (0.06) | |||
| Sortino Ratio | (0.19) | |||
| Treynor Ratio | (4.83) |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that 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.
Northern Lights Backtested Returns
Currently, Northern Lights is very steady. Northern Lights has Sharpe Ratio of 0.0495, which conveys that the entity had a 0.0495% return per unit of risk over the last 3 months. We have found thirty technical indicators for Northern Lights, which you can use to evaluate the volatility of the etf. Please verify Northern Lights' Risk Adjusted Performance of 0.0421, downside deviation of 0.5158, and Mean Deviation of 0.2309 to check out if the risk estimate we provide is consistent with the expected return of 0.0253%. The etf secures a Beta (Market Risk) of -0.0044, which conveys not very significant fluctuations relative to the market. As returns on the market increase, returns on owning Northern Lights are expected to decrease at a much lower rate. During the bear market, Northern Lights is likely to outperform the market.
Auto-correlation | 0.73 |
Good predictability
Northern Lights has good predictability. Overlapping area represents the amount of predictability between Northern Lights time series from 4th of May 2023 to 13th of February 2024 and 13th of February 2024 to 24th of November 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 0.73 indicates that around 73.0% of current Northern Lights price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.73 | |
| Spearman Rank Test | 0.66 | |
| Residual Average | 0.0 | |
| Price Variance | 0.3 |
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 |
Pair Trading with Northern Lights
One of the main advantages of trading using pair correlations is that every trade hedges away some risk. Because there are two separate transactions required, even if Northern Lights position performs unexpectedly, the other equity can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in Northern Lights will appreciate offsetting losses from the drop in the long position's value.The ability to find closely correlated positions to Northern Lights could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Northern Lights when you sell it. If you don't do this, your portfolio allocation will be skewed against your target asset allocation. So, investors can't just sell and buy back Northern Lights - that would be a violation of the tax code under the "wash sale" rule, and this is why you need to find a similar enough asset and use the proceeds from selling Northern Lights to buy it.
The correlation of Northern Lights is a statistical measure of how it moves in relation to other instruments. This measure is expressed in what is known as the correlation coefficient, which ranges between -1 and +1. A perfect positive correlation (i.e., a correlation coefficient of +1) implies that as Northern Lights moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Northern Lights moves in either direction, the perfectly negatively correlated security will move in the opposite direction. If the correlation is 0, the equities are not correlated; they are entirely random. A correlation greater than 0.8 is generally described as strong, whereas a correlation less than 0.5 is generally considered weak.
Correlation analysis and pair trading evaluation for Northern Lights can also be used as hedging techniques within a particular sector or industry or even over random equities to generate a better risk-adjusted return on your portfolios.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 Bollinger Bands module to use Bollinger Bands indicator to analyze target price for a given investing horizon.
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.