330 research outputs found
National Saving-Investment Dynamics and International Capital Mobility
The authors analyze the dynamics of national saving-investment relationships to determine the degree of international capital mobility. Following Coakley and Kulasi (1997), the authors interpret the close relationship between national saving and investment in the long run as reflecting a solvency constraint, rather than as evidence of limited capital mobility (Feldstein and Horioka 1980). As in Jansen (1996, 1998), the authors also examine the short-term saving-investment relationship, especially the speed at which the variables return to the long-run equilibrium relationship once they have deviated from it. The ease with which a country can borrow or lend and run current account imbalances in the short run, before it has to ultimately reverse the transaction at some future date to satisfy the solvency constraint, is interpreted as being positively related to the degree of international capital mobility. Extending the approach by Jansen, the authors apply panel error-correction techniques to data for 20 OECD countries from 1960 to 1999, and find that saving and investment display a long-run relationship that is consistent with the interpretation that a long-run solvency constraint is binding for each country. Furthermore, capital mobility has increased over time.International topics
Large-Scale Disasters and the Insurance Industry
We investigate the impact of the 20 largest â in terms of insured losses â man-made or natural disasters on various insurance industry stock indices. We show via an event study that insurance sectors worldwide are quite resilient, in a marketâvalue sense, to unexpected losses to capital: our data provide evidence that equity market investors believe that insurance companies will on average be able to make losses back over the foreseeable future, i.e. that the adverse shocks to equity which have resulted from these catastrophes will be compensated by either an outward shift of the demand curve or an ability to raise premiums, or both.disaster, insurance industry, event-study
Large-scale disasters and the insurance industry
We investigate the effect of the 20 largest â in terms of insured losses â man-made or natural disasters on the insurance industry. We show via an event study that insurance markets worldwide are quite resilient to unexpected losses to capital and are even outperforming the general market subsequent to great disasters. --disaster,insurance industry,event-study
Lâimmagine delle Terme di Traiano nel Codice Destailleur e in altre vedute dâepoca
Der vorliegende Aufsatz diskutiert den Stand der Dokumentation der Trajansthermen im Codex Destailleur im Vergleich zu VorgĂ€ngerzeichnungen und der Forma Urbis Marmorea. DarĂŒber hinaus identifiziert der Beitrag die heute zerstörten, als Titusthermen bekannten Ruinen zwischen Kolosseum und Trajansthermen in einer Vielzahl von Veduten. Sowohl fĂŒr die Trajansthermen im Codex Destailleur wie auch fĂŒr die Titusthermen im Fall einer Skizze von Palladio wird gezeigt, dass die fraglichen Zeichnungen nur in bemassten Bereichen archĂ€ologisch stichhaltig sind. Daraus resultiert unter anderem, dass es vor den Traiansthermen keinen ausreichenden Beweis gibt fĂŒr ein axialsymmetrisches ThermengebĂ€ude mit zentraler kreuzgratgewölbter Halle
Revealing matrices
This chapter illustrates the usefulness of enriched and refined data model matrices for database project evaluation, exposing many nonintuitive data properties that are hard to uncover by simply using a database or looking at the commonly used indicators of quality. As data becomes more accessible in the form of Linked Data, RDF graphs, or open dumps of relational tables, the presented methods can be applied by funders or the projects themselves, within a very short time frame in a mostly automated process. The visualizations in this chapter present the first comprehensive big picture of an entire example database â the Census of Antique Works of Art and Architecture Known in the Renaissance â where we can see the initial data model definition as well as the emerging complex structure in the collected data. I chose to visualize a state of the database at a point just before it was transferred from a graph-based database system (CENSUS 2005) to a more traditional relational database format (CENSUS BBAW) in 2006, allowing for comparison of the historic state with current and future achievements. By looking at the visualizations, we find out that many of the numbers given in project descriptions are incomplete or even misleading. Some of the new numbers may be smaller than the initially presented ones, but as we learn from our analysis, sometimes a little less is moreâand more is different (Anderson 972)
Die Entstehung von mittelalterlichen DoppelstÀdten in der Mark Brandenburg
DoppelstÀdte entstanden vor allem im 13. Jahrhundert, in der Zeit der
Ausbreitung der Stadt mit besonderem Recht, deren wirtschaftlich aktive
Bewohner eine lokale stÀdtische Gemeinde bildeten und gleichzeitig in einem
VertragsverhÀltnis zu einem HerrschaftstrÀgerstanden. Wo sich dies nicht in
einem einzigen Siedlungs- und Rechtskörper realisieren lieĂ, konnte eine
Doppelstadt entstehen. Ein hÀufiger Grund war eine herrschaftliche
Konkurrenzsituation am Ort. Aber auch die Ansiedlung einer gröĂeren Gruppe von
Neusiedlern, deren Integration in die bestehende Stadt Schwierigkeiten
bereitete, in einer ergÀnzenden Neustadt zur wirtschaftlichen StÀrkung des
Ortes und die Lage beiderseits eines FlussĂŒbergangs konnten eine Rolle
spielen.Twin cities chiefly arose in the thirteenth century, during the time when
cities were proliferating and had particular rights; their economically active
inhabitants comprised a local urban community and at the same time were in a
contractual relationship with a ruler. A twin city could arise in places where
this particularity could not be realized in a singlelegal and settlement
entity. One frequent reason was local competition for dominance, but a larger
group of new settlers could also play a role, by settling in a complementary
new city to strengthen the place economically after having trouble integrating
into the existingcity, and so could a location on both sides of a river
crossing
Dependencies between European stock markets when price changes are unusually large
The present paper studies dependencies between European stock markets when returns are unusually large, using daily data on stock market indices for Germany, the United Kingdom, France, the Netherlands and Italy from 1973 to 2001. Dependency is measured by the conditional probability of an unusually large return in one market given an unusually large return in another and is estimated using an approach from multivariate extreme value theory. The paper finds the following. First, dependencies between markets in situations of unusually large returns have become closer over time. Second, they are generally higher for large negative returns than for large positive ones. Third, dependencies differ depending on the country pair considered. For example, stock markets in the Netherlands and France are more closely and those in the United Kingdom and Italy less closely linked to the German market. Fourth, overall dependencies are quite symmetric, in the sense that the conditional probability for an unusually large change given a large change in the other country is similar irrespective of which of the two countries the probability is conditioned on.Der vorliegende Beitrag untersucht die AbhĂ€ngigkeiten zwischen EuropĂ€ischen AktienmĂ€rkten in Situationen ungewöhnlich grosser Kursschwankungen anhand von tĂ€glichen Daten der Aktienmarktindices fĂŒr Deutschland, GroĂbitannien, Frankreich, die Niederlande und Italien von 1973 bis 2001. AbhĂ€ngigkeit wird dabei gemessen anhand der bedingten Wahrscheinlichkeit einer ungewöhnlich grossen PreisverĂ€nderung auf einem Aktienmarkt, wenn eine ungewöhnlich grosse PreisverĂ€nderung auf einem anderen Markt gegeben ist. Diese Wahrscheinlichkeit wird geschĂ€tzt mit Hilfe eines Ansatzes aus der multivariaten Extremwerttheorie. Die Ergebnisse können folgendermaĂen zusammengefaĂt werden: Erstens sind die geschĂ€tzten AbhĂ€ngigkeiten im Laufe der Zeit stĂ€rker geworden. Zweitens sind sie ausgeprĂ€gter im Falle negativer als im Falle positiver Kursbewegungen. Drittens sind sie unterschiedlich je nach betrachtetem LĂ€nderpaar. So stehen die AktienmĂ€rkte in Frankreich und den Niederlanden in jeweils relativ starker gegenseitiger AbhĂ€ngigkeit in Bezug auf den deutschen Aktienmarkt, wĂ€hrend die AktienmĂ€rkte in Grossbritannien und Italien weniger eng mit dem deutschen Aktienmarkt verbunden sind. Viertens sind die AbhĂ€ngigkeiten zwischen zwei MĂ€rkten generell symmetrisch in dem Sinne, dass die geschĂ€tzte bedingte Wahrscheinlichkeit weitgehend unabhĂ€ngig davon ist, auf welchen der beiden MĂ€rkte die Wahrscheinlichkeit konditioniert wird
Large-scale disasters and the insurance industry
We investigate the effect of the 20 largest â in terms of insured losses â man-made or natural disasters on the insurance industry. We show via an event study that insurance markets worldwide are quite resilient to unexpected losses to capital and are even outperforming the general market subsequent to great disasters
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