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New Constructs Core Earnings

New Constructs Core Earnings by New Constructs

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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.
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

The Problem

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).

The Answer

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

Column Type Description
_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 Company’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
filing_date string Filing Date
as_of_date string As of date
model_type string model_type
update_reason string update_reason
income_net double income_net
core_earnings_after_tax double core_earnings_after_tax
earnings_distortion_total double earnings_distortion_total
earnings_distortion_hidden double earnings_distortion_hidden
earnings_distortion_reported_pre_tax double earnings_distortion_reported_pre_tax
earnings_distortion_reported_after_tax double earnings_distortion_reported_after_tax
tax_distortion double tax_distortion

Important Dataset Notes

This dataset is not available for direct online purchase. Please contact sales directly at The data is available through our normal sales department who can provide you with current pricing and a quote for accessing this valuable dataset. This may be due to a number of reasons such as dataset intended use, size of the company (or investment fund) using the dataset, or for simple legal requirements that CloudQuant needs to ensure are in place prior to licensing the dataset to you.