Northern Lights Etf Market Value

MBCC Etf  USD 35.95  0.21  0.59%   
Northern Lights' market value is the price at which a share of Northern Lights trades on a public exchange. It measures the collective expectations of Northern Lights investors about its performance. Northern Lights is trading at 35.95 as of the 30th of November 2024, a 0.59 percent increase since the beginning of the trading day. The etf's open price was 35.74.
With this module, you can estimate the performance of a buy and hold strategy of Northern Lights and determine expected loss or profit from investing in Northern Lights over a given investment horizon. Check out Northern Lights Correlation, Northern Lights Volatility and Northern Lights Alpha and Beta module to complement your research on Northern Lights.
For information on how to trade Northern Etf refer to our How to Trade Northern Etf guide.
Symbol

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.
0.00
06/03/2024
No Change 0.00  0.0 
In 5 months and 30 days
11/30/2024
0.00
If you would invest  0.00  in Northern Lights on June 3, 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 180 days. Northern Lights is related to or competes with Sterling Capital, Roundhill ETF, Northern Lights, First Trust, 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.

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.
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.
Hype
Prediction
LowEstimatedHigh
35.2935.9436.59
Details
Intrinsic
Valuation
LowRealHigh
34.9335.5836.23
Details
Naive
Forecast
LowNextHigh
35.3435.9936.64
Details
Bollinger
Band Projection (param)
LowerMiddle BandUpper
34.7035.4436.19
Details

Northern Lights Backtested Returns

At this point, Northern Lights is very steady. Northern Lights has Sharpe Ratio of 0.18, which conveys that the entity had a 0.18% 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' Mean Deviation of 0.5265, risk adjusted performance of 0.1156, and Downside Deviation of 0.7471 to check out if the risk estimate we provide is consistent with the expected return of 0.12%. The etf secures a Beta (Market Risk) of 0.7, 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

    
  0.52  

Modest predictability

Northern Lights has modest predictability. Overlapping area represents the amount of predictability between Northern Lights time series from 3rd of June 2024 to 1st of September 2024 and 1st of September 2024 to 30th 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 0.52 indicates that about 52.0% of current Northern Lights price fluctuation can be explain by its past prices.
Correlation Coefficient0.52
Spearman Rank Test0.33
Residual Average0.0
Price Variance0.44

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  

Also Currently Popular

Analyzing currently trending equities could be an opportunity to develop a better portfolio based on different market momentums that they can trigger. Utilizing the top trending stocks is also useful when creating a market-neutral strategy or pair trading technique involving a short or a long position in a currently trending equity.
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 information on how to trade Northern Etf refer to our How to Trade Northern Etf guide.
You can also try the Portfolio Center module to all portfolio management and optimization tools to improve performance of your portfolios.
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.
A focus of Northern Lights technical analysis is to determine if market prices reflect all relevant information impacting that market. A technical analyst looks at the history of Northern Lights trading pattern rather than external drivers such as economic, fundamental, or social events. It is believed that price action tends to repeat itself due to investors' collective, patterned behavior. Hence technical analysis focuses on identifiable price trends and conditions. More Info...