Phillips, Hager North Fund Market Value

0P0000OXA8   28.12  0.08  0.29%   
Phillips, Hager's market value is the price at which a share of Phillips, Hager trades on a public exchange. It measures the collective expectations of Phillips, Hager North investors about its performance. Phillips, Hager is selling at 28.12 as of the 26th of February 2025; that is 0.29 percent increase since the beginning of the trading day. The fund's open price was 28.04.
With this module, you can estimate the performance of a buy and hold strategy of Phillips, Hager North and determine expected loss or profit from investing in Phillips, Hager over a given investment horizon. Check out Trending Equities to better understand how to build diversified portfolios. Also, note that the market value of any fund could be closely tied with the direction of predictive economic indicators such as signals in board of governors.
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Phillips, Hager '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 Phillips, Hager's fund 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 Phillips, Hager.
0.00
01/27/2025
No Change 0.00  0.0 
In 31 days
02/26/2025
0.00
If you would invest  0.00  in Phillips, Hager on January 27, 2025 and sell it all today you would earn a total of 0.00 from holding Phillips, Hager North or generate 0.0% return on investment in Phillips, Hager over 30 days.

Phillips, Hager 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 Phillips, Hager's fund 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 Phillips, Hager North upside and downside potential and time the market with a certain degree of confidence.

Phillips, Hager Market Risk Indicators

Today, many novice investors tend to focus exclusively on investment returns with little concern for Phillips, Hager's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Phillips, Hager's standard deviation. In reality, there are many statistical measures that can use Phillips, Hager historical prices to predict the future Phillips, Hager's volatility.

Phillips, Hager North Backtested Returns

Phillips, Hager North maintains Sharpe Ratio (i.e., Efficiency) of -0.0901, which implies the entity had a -0.0901 % return per unit of risk over the last 3 months. Phillips, Hager North exposes twenty-two different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please check Phillips, Hager's Risk Adjusted Performance of (0.04), coefficient of variation of (1,545), and Variance of 2.32 to confirm the risk estimate we provide. The fund holds a Beta of -0.0272, which implies not very significant fluctuations relative to the market. As returns on the market increase, returns on owning Phillips, Hager are expected to decrease at a much lower rate. During the bear market, Phillips, Hager is likely to outperform the market.

Auto-correlation

    
  0.38  

Below average predictability

Phillips, Hager North has below average predictability. Overlapping area represents the amount of predictability between Phillips, Hager time series from 27th of January 2025 to 11th of February 2025 and 11th of February 2025 to 26th of February 2025. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of Phillips, Hager North price movement. The serial correlation of 0.38 indicates that just about 38.0% of current Phillips, Hager price fluctuation can be explain by its past prices.
Correlation Coefficient0.38
Spearman Rank Test0.15
Residual Average0.0
Price Variance0.06

Phillips, Hager North lagged returns against current returns

Autocorrelation, which is Phillips, Hager fund'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 Phillips, Hager's fund expected returns. We can calculate the autocorrelation of Phillips, Hager returns to help us make a trade decision. For example, suppose you find that Phillips, Hager has exhibited high autocorrelation historically, and you observe that the fund 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  

Phillips, Hager 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 Phillips, Hager fund is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Phillips, Hager fund is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Phillips, Hager fund over time.
   Current vs Lagged Prices   
       Timeline  

Phillips, Hager Lagged Returns

When evaluating Phillips, Hager's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Phillips, Hager fund have on its future price. Phillips, Hager 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, Phillips, Hager autocorrelation shows the relationship between Phillips, Hager fund current value and its past values and can show if there is a momentum factor associated with investing in Phillips, Hager North.
   Regressed Prices   
       Timeline  

Pair Trading with Phillips, Hager

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 Phillips, Hager 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 Phillips, Hager will appreciate offsetting losses from the drop in the long position's value.

Moving together with Phillips, Fund

  0.920P0000706A RBC Select BalancedPairCorr
  0.920P0000S9O7 PIMCO Monthly IncomePairCorr
  0.920P00007069 RBC PortefeuillePairCorr
  0.640P0000IUYO Edgepoint Global PorPairCorr
The ability to find closely correlated positions to Phillips, Hager could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Phillips, Hager 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 Phillips, Hager - 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 Phillips, Hager North to buy it.
The correlation of Phillips, Hager 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 Phillips, Hager moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Phillips, Hager North 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 Phillips, Hager 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.
Pair CorrelationCorrelation Matching
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