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
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 sales@CloudQuant.com. 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.