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<title>Diskussionsbeiträge Jahrgang 2014</title>
<link href="https://refubium.fu-berlin.de/handle/fub188/18502" rel="alternate"/>
<subtitle/>
<id>https://refubium.fu-berlin.de/handle/fub188/18502</id>
<updated>2026-04-29T03:26:48Z</updated>
<dc:date>2026-04-29T03:26:48Z</dc:date>
<entry>
<title>Anticipating business-cycle turning points in real time using density
forecasts from a VAR</title>
<link href="https://refubium.fu-berlin.de/handle/fub188/20059" rel="alternate"/>
<author>
<name>Schreiber, Sven</name>
</author>
<id>https://refubium.fu-berlin.de/handle/fub188/20059</id>
<updated>2021-08-19T06:02:23Z</updated>
<published>2014-01-01T00:00:00Z</published>
<summary type="text">Anticipating business-cycle turning points in real time using density
forecasts from a VAR
Schreiber, Sven
For the timely detection of business-cycle turning points we suggest to use
mediumsized linear systems (subset VARs with automated zero restrictions) to
forecast the relevant underlying variables, and to derive the probability of
the turning point from the forecast density as the probability mass below (or
above) a given threshold value. We show how this approach can be used in real
time in the presence of data publication lags and how it can capture the part
of the data revision process that is systematic. Then we apply the method to
US and German monthly data. In an out-of-sample exercise (for 2007-2012/13)
the turning points can be signalled before the official data publication
confirms them (but not before they happened in reality).
</summary>
<dc:date>2014-01-01T00:00:00Z</dc:date>
</entry>
<entry>
<title>Capital Gains Taxes and Asset Prices</title>
<link href="https://refubium.fu-berlin.de/handle/fub188/20086" rel="alternate"/>
<author>
<name>Eichfelder, Sebastian</name>
</author>
<author>
<name>Lau, Mona</name>
</author>
<id>https://refubium.fu-berlin.de/handle/fub188/20086</id>
<updated>2021-08-19T06:02:21Z</updated>
<published>2014-01-01T00:00:00Z</published>
<summary type="text">Capital Gains Taxes and Asset Prices
Eichfelder, Sebastian; Lau, Mona
We argue that the impact of capital gains taxation on asset pricing depends on
the tax awareness of market participants. While institutional investors should
be generally well-informed about tax regulations, private investors have only
limited tax knowledge and resources. As a result, market reactions on tax law
changes may be delayed if a considerable fraction of market participants is
not fully tax-aware. In line with our argument, we find evidence that the
introduction of a previously announced German flat tax on private capital
gains in 2009 resulted in a temporarily strong and significant increase of
trading volumes, daily returns and asset prices. Our research implies that tax
law changes provide an opportunity for well-informed investors to generate
arbitrage benefits. Corresponding to our estimate, the capital gains tax
resulted in an increase demand for shares of 160 % as well as in an price
surplus of about 7.4 % within the last two trading days 2008.
</summary>
<dc:date>2014-01-01T00:00:00Z</dc:date>
</entry>
<entry>
<title>Conceptualizing Open Data Ecosystems</title>
<link href="https://refubium.fu-berlin.de/handle/fub188/19799" rel="alternate"/>
<author>
<name>Heimstädt, Maximilian</name>
</author>
<author>
<name>Saunderson, Fredric</name>
</author>
<author>
<name>Heath, Tom</name>
</author>
<id>https://refubium.fu-berlin.de/handle/fub188/19799</id>
<updated>2021-08-27T11:10:39Z</updated>
<published>2014-01-01T00:00:00Z</published>
<summary type="text">Conceptualizing Open Data Ecosystems
Heimstädt, Maximilian; Saunderson, Fredric; Heath, Tom
In this paper, we conceptualize Open Data ecosystems by analysing the major&#13;
stakeholders in the UK. The conceptualization is based on a review of popular&#13;
Open Data definitions and business ecosystem theories, which we applied to&#13;
empirical data using a timeline analysis. Our work is informed by a&#13;
combination of discourse analysis and in-depth interviews, undertaken during&#13;
the summer of 2013. Drawing on the UK as a best practice example, we identify&#13;
a set of structural business ecosystem properties: circular flow of resources,&#13;
sustainability, demand that encourages supply, and dependence developing&#13;
between suppliers, intermediaries, and users. However, significant gaps and&#13;
shortcomings are found to remain. Most prominently, demand is not yet fully&#13;
encouraging supply and actors have yet to experience fully mutual&#13;
interdependence.
</summary>
<dc:date>2014-01-01T00:00:00Z</dc:date>
</entry>
<entry>
<title>Country-by-Country Reporting</title>
<link href="https://refubium.fu-berlin.de/handle/fub188/19862" rel="alternate"/>
<author>
<name>Evers, Andrea</name>
</author>
<author>
<name>Hundsdoerfer, Jochen</name>
</author>
<id>https://refubium.fu-berlin.de/handle/fub188/19862</id>
<updated>2021-08-19T06:02:25Z</updated>
<published>2014-01-01T00:00:00Z</published>
<summary type="text">Country-by-Country Reporting
Evers, Andrea; Hundsdoerfer, Jochen
Country-by-Country Reporting (CbCR) soll für (insb. Steuer-)Behörden oder für
die Öffentlichkeit Transparenz über die regionale Verteilung von
Produktionsfaktoren, Gewinnen und Steuerzahlun-gen schaffen und so
Steuervermeidungsstrategien aufdecken. Die folgende Analyse zeigt die Ent-
stehungsgeschichte des CbCR und stellt die Möglichkeiten eines allgemein
verpflichtenden CbCR für multinationale Unternehmen seinen Grenzen und Risiken
gegenüber. Unsere Analyse zeigt, dass das CbCR die Informationsansprüche der
Adressaten nicht in der Weise befriedigen kann, wie seine Befürworter es
propagieren. Auch CbCR als ein weiterer Rechenversuch ändert nichts daran,
dass Gewinne von multinationalen Unternehmen nicht lokal zuordbar sind. Ein
auf wenige, nachprüfbar zu ermittelnde Kernelemente reduziertes CbCR würde –
ob freiwillig, als industrielle Selbstver-pflichtung oder als gesetzliche
Pflicht – für die Informationsadressaten den gleichen Nutzen bringen wie das
bislang vorgeschlagene detaillierte CbCR. Ein solches Basis-CbCR würde
beispielsweise die Umsatzerlöse, die Arbeitnehmerzahl und/oder die Lohnsumme,
das Sachanlagevermögen und/oder die Abschreibungen darauf sowie die gezahlten
Ertragsteuern und/oder den Steueraufwand je Land ausweisen, nicht aber das
Einkommen vor Steuern.
</summary>
<dc:date>2014-01-01T00:00:00Z</dc:date>
</entry>
</feed>
