Investigating business risks and well-being

A national government has to make a decision on whether to enforce a regulation to control which demographic properties, e.g. gender-based distribution, company boards should comply to in order to improve well-being in the country. As part of the decision-making procedure a team of social scientists has been hired to study related phenomena.


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Hypotheses

The main hypothesis of this thread of research is that well-being is strongly correlated to business risks of companies. By developing effective policies to reduce internal risks (for instance operational risks such as credit risk) and external risks (such as systematic risk) of companies well-being can be systematically improved.
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First Hypothesis

There are curves of age and gender-based segregation distribution in boards of companies, which are characteristic to mean credit risk of companies in a region.

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Second Hypothesis

Low mean credit risk of companies in a region has strong positive correlation to well-being.


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Third Hypothesis

Systemic risk correlates highly with well-being indices at national level.


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Datasets

There is a variety of datasets availablefor the story.
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Companies and Board Members

Managed and continuously updated data about Estonian companies and board members since 1992.

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CDR and Retail Data

The following artefacts are available: CDR data of the country, retail data for a retail chain.

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Stock Market Transactions

Financial data on the price of the top 250 most liquid assets of NYSE from 2006 to 2014. The dataset contains transactions, quotes and market depth (10 best levels in the limit ordr book) with a millisecond resolution.

Partners

University of Tartu

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University of Tartu provides methods for a) X, b) xxx.

University of Tartu

UNIPI
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UNIPI provides methods for a) X, b) xxx.

University of Tartu


SNS
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SNS provides methods for a) X, b) xxx.

University of Tartu

CNR
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CNR provides methods for a) X, b) xxx.

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