Fidelity Clearpath 2045 Fund Holdings Turnover

0P00007694   27.91  0.02  0.07%   
Fidelity ClearPath 2045 fundamentals help investors to digest information that contributes to Fidelity ClearPath's financial success or failures. It also enables traders to predict the movement of Fidelity Fund. The fundamental analysis module provides a way to measure Fidelity ClearPath's intrinsic value by examining its available economic and financial indicators, including the cash flow records, the balance sheet account changes, the income statement patterns, and various microeconomic indicators and financial ratios related to Fidelity ClearPath fund.
  
This module does not cover all equities due to inconsistencies in global equity categorizations. Continue to Equity Screeners to view more equity screening tools.

Fidelity ClearPath 2045 Fund Holdings Turnover Analysis

Fidelity ClearPath's Holding Turnover is calculated by adding up all the transactions for the year, dividing it by 2 and then dividing it again by the total fund holdings. Holding Turnover is the rate at which funds or ETFs replace their investment holdings on an annual basis. In other words it measures how quickly a fund turns over its holdings during the fiscal year.

Holding Turnover

 = 

Year Cash Flow

Net Asset

X

100

More About Holdings Turnover | All Equity Analysis
Investor can think of Holding Turnover as a percentage of a fund's assets that have turned over in the past year. Typically, a high annual turnover ratio implies that fund managers made a lot of buying and selling. The higher the annual turnover, the higher the expense ratio for the fund.
According to the company disclosure, Fidelity ClearPath 2045 has a Holdings Turnover of 0.0%. This indicator is about the same for the average (which is currently at 0.0) family and about the same as Holdings Turnover (which currently averages 0.0) category. This indicator is about the same for all Canada funds average (which is currently at 0.0).

Did you try this?

Run Portfolio Rebalancing Now

   

Portfolio Rebalancing

Analyze risk-adjusted returns against different time horizons to find asset-allocation targets
All  Next Launch Module

About Fidelity ClearPath Fundamental Analysis

The Macroaxis Fundamental Analysis modules help investors analyze Fidelity ClearPath 2045's financials across various querterly and yearly statements, indicators and fundamental ratios. We help investors to determine the real value of Fidelity ClearPath using virtually all public information available. We use both quantitative as well as qualitative analysis to arrive at the intrinsic value of Fidelity ClearPath 2045 based on its fundamental data. In general, a quantitative approach, as applied to this fund, focuses on analyzing financial statements comparatively, whereas a qaualitative method uses data that is important to a company's growth but cannot be measured and presented in a numerical way.
Please read more on our fundamental analysis page.

Pair Trading with Fidelity ClearPath

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 Fidelity ClearPath 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 Fidelity ClearPath will appreciate offsetting losses from the drop in the long position's value.

Moving together with Fidelity Fund

  0.990P0000706A RBC Select BalancedPairCorr
  0.990P00007069 RBC PortefeuillePairCorr
  0.910P0000IUYO Edgepoint Global PorPairCorr
  0.820P0001FAU8 TD Comfort BalancedPairCorr
  0.950P00012UCU RBC Global EquityPairCorr
The ability to find closely correlated positions to Fidelity ClearPath could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Fidelity ClearPath 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 Fidelity ClearPath - 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 Fidelity ClearPath 2045 to buy it.
The correlation of Fidelity ClearPath 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 Fidelity ClearPath moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Fidelity ClearPath 2045 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 Fidelity ClearPath 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

Other Information on Investing in Fidelity Fund

Fidelity ClearPath financial ratios help investors to determine whether Fidelity Fund is cheap or expensive when compared to a particular measure, such as profits or enterprise value. In other words, they help investors to determine the cost of investment in Fidelity with respect to the benefits of owning Fidelity ClearPath security.
Headlines Timeline
Stay connected to all market stories and filter out noise. Drill down to analyze hype elasticity
FinTech Suite
Use AI to screen and filter profitable investment opportunities
Portfolio Volatility
Check portfolio volatility and analyze historical return density to properly model market risk