New Constructs Core Earnings
Core Earnings measure the normalized operating profitability of a business.
Fact: Only New Constructs research captures material unusual gains/losses in footnotes that legacy research providers miss.
Proof: Core Earnings: New Data & Evidence, featured in The Journal of Financial Economics.
Fact: New Constructs Core Earnings & Earnings Distortion data delivers a novel source of alpha for quants and PMs.
Proof: Earnings Distortion: The New Value Factor.
Core Earnings + Earnings Distortion = Reported Earnings
Identifying unusual items that distort reported and consensus earnings is increasingly difficult.
So difficult that most analysts and data providers don´t do it – as proven in The Journal of Financial Economics (JFE).
New Constructs technology enables them to provide the best database of unusual items in the world and, as a result, provide the best measure of Core Earnings & Earnings Distortion in the world.
Data Contained in this Dataset
|_seq||uint||Internal sequence number used to keep data rows in order|
|timestamp||string||Timestamp of the Data - America/New York Time.|
|muts||uint64||Microseconds Unix Timestamp. An integer representation of a timestamp with microsecond precision that can be compared directly to other timestamps.|
|symbol||string||Trading Symbol or Ticker|
|company_name||string||The Companyâ€™s Name. May be formal/legal name or some derivative of the company´s name.|
|fiscal_year||int64||Fiscal year (ie 2017 2018 2019 2020 2021)|
|fiscal_quarter||int64||The company´s fiscal quarter|
|as_of_date||string||As of date|
Important Dataset Notes
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