Factoring in family freight forwarder company: case study

Each freight forwarder company must independently determine whether factoring is the right choice for them and if will pay off. If the factoring as a financial method would not be economically viable, it certainly would not exist. There are several different financing methods, which are more or less useful. However, not all of them are appropriate for every company, just like all buyers do not represent equal risks for the suppliers. The same buyer can pay one supplier within the agreed period, and not pay the other supplier at all. Still, the most important elements are the agreement made with the customer, the method of insuring ourselves and the method of monitoring the implementation of the agreements. Problems rarely occur overnight and that is why we have to constantly supervise our buyers; otherwise account receivables can occur. My thesis contributes to the ongoing research into how the use of factoring within the Slovenian economic environment can help a small freight forwarder company to grow. In effect, the specific characteristics of the Slovenian economic, legal and institutional environment make such an analysis an interesting one to explore. I used data from a family freight forwarder company TOP Hrvatin in drugi d.n.o. in order to establish future company growth by applying factoring as a right choice of financing. After applying all the data and preparing the company's financial plan, my results suggest that factoring is not the right choice for financing future investments for this particular freight forwarder business. Furthermore, the results even show that factoring is an extremely undeveloped financing method in Slovenia and that practically there is no legal base for its use.

Structural and chemical characterization of corals grown under present day and naturally elevated pCO2 conditions in Papua New Guinea - a window into the future

Dissertação de mestrado, Biologia Marinha, Faculdade de Ciências e Tecnologia, Universidade do Algarve, 2015

Challenges and Potentials for Keyword Extraction from Company Websites for the Development of Regional Knowledge Maps

Regional Innovation Systems describe the relations between actors, structures and infrastructures in a region in order to stimulate innovation and regional development. For these systems the collection and organization of information is crucial. In the present paper we investigate the possibilities to extract information from websites of companies. First we describe regional innovation systems and the information types that are necessary to create them. Then we discuss the possibilities of text mining and keyword extraction techniques to extract this information from company websites. Finally, we describe a small scale experiment in which keywords related to economic sectors and commodities are extracted from the websites of over 200 companies. This experiment shows what the main challenges are for information extraction from websites for regional innovation systems.

M&A und das Synergieversprechen. Wen interessiert's? Entwicklung eines Ansatzes zur Analyse von Aktienkursreaktionen auf M&A-basierte Finanzkommunikation

Die Arbeit entwickelt einen Ansatz, mit dem Aktienkursreaktionen auf Unternehmensmeldungen untersucht werden können. Die Vorgehensweise entstammt der Forschungsfrage, ob Investoren im Sinne einer Kontrollfunktion des Kapitalmarktes angemessen auf Unternehmensmeldungen reagieren, die auf den Stand einer M&A-Integration hinweisen. Vermutet wird, dass Synergieeffekte vom Management im Vorfeld versprochen werden, um M&A-Transaktionen zu rechtfertigen. Anschließend würdigen bzw. kontrollieren Investoren die Entwicklung der Integration jedoch nicht ausreichend. Dies soll bewiesen werden, indem gezeigt wird, dass Kursreaktionen in Form von bereinigten Tagesrenditen und -volatilitäten, Handelsvolumen und Hoch-Tief-Spannen auf M&A-Meldungen vergleichsweise geringer ausfallen. Um eine Vergleichbarkeit von Unternehmensmeldungen verschiedener Gruppen (M&A, Produkte usw.) herstellen zu können, werden die Handlungsanreize der Meldungen mittels der qualitativen Inhaltsanalyse kategorisiert. Im Rahmen einer exemplarischen Anwendung zeigte sich, dass der Ansatz, dessen Besonderheit in der systematischen Auswahl probater Beobachtungen liegt, nicht für eine praktische Übertragung geeignet ist. Demnach konnte die Vermutung weder verworfen noch bestätigt werden. Theoretisch kann aufgrund der Betrachtung eines einzelnen Ereignistages, an dem neben der zu untersuchenden Meldung keine weiteren Informationen über das Unternehmen veröffentlicht worden sind, ein relativ starker Kausalitätsbezug zwischen Meldung und Reaktion hergestellt werden. Allerdings bestehen immer noch zu viele Störereignisse und Überlagerungseffekte, die eine kritische Validierung der Ergebnisse verhindern.

Cornerstone Baptist Church 100th Anniversary Day

This proclamation from Governor Mark Sanford proclaims October 30, 2005 as Cornerstone Baptist Church 100th Anniversary Day.

The Charleston & Seashore Railroad Company and its many attractions, the Isle of Palms, and thereabouts

This publication is a pamphlet describing the attractions of the Isle of Palms area, including Charleston, Mt. Pleasant, and Sullivan's Island. The pamphlet contains nine photographs of the beach and surrounding area of the Isle of Palms, as well as several advertisements of local merchants.

Know your own state : South Carolina

This publication is a booklet published by the Standard Oil Company that serves as a guide to the state of South Carolina, including history, geography, maps, and automobile care information.

An address delivered in the Indigo Hall, Georgetown, South Carolina, on the fourth day of May, 1860, the 105th anniversary of the Winyaw Indigo Society

This pamphlet presents the text of the address given by Plowden C.J. Weston on May 4, 1860 to the Winyaw Indigo Society on their 105th anniversary.

A 30-Day-Ahead Forecast Model for Grass Pollen in North London, United Kingdom

A 30-day ahead forecast method has been developed for grass pollen at north London. The total period of the grass pollen season is covered by eight multiple regression models, each covering a 10-day period running consecutively from 21st May to 8th August. This means that three models were used for each 30-day forecast. The forecast models were produced using grass pollen and environmental data from 1961-1999 and tested on data from 2000 and 2002. Model accuracy was judged in two ways: the number of times the forecast model was able to successfully predict the severity (relative to the 1961-1999 dataset as a whole) of grass pollen counts in each of the eight forecast periods on a scale of one to four; and the number of times the forecast model was able to predict whether grass pollen counts were higher or lower than the mean. The models achieved 62.5% accuracy in both assessment years when predicting the relative severity of grass pollen counts on a scale of one to four, which equates to six of the eight 10-day periods being forecast correctly. The models attained 87.5% and 100% accuracy in 2000 and 2002 respectively when predicting whether grass pollen counts would be higher or lower than the mean. Attempting to predict pollen counts during distinct 10-day periods throughout the grass pollen season is a novel approach. The models also employed original methodology in the use of winter averages of the North Atlantic Oscillation to forecast 10-day means of allergenic pollen counts.

Constructing a 7-day Ahead Forecast Model for Grass Pollen at North London, United Kingdom

A number of media outlets now issue medium-range (~7 day) weather forecasts on a regular basis. It is therefore logical that aerobiologists should attempt to produce medium-range forecasts for allergenic pollen that cover the same time period as the weather forecasts. The objective of this study is to construct a medium-range (< 7 day) forecast model for grass pollen at north London. The forecast models were produced using regression analysis based on grass pollen and meteorological data from 1990-1999 and tested on data from 2000 and 2002. The modelling process was improved by dividing the grass pollen season into three periods; the pre-peak, peak and post peak periods of grass pollen release. The forecast consisted of five regression models. Two simple linear regression models predicting the start and end date of the peak period, and three multiple regression models forecasting daily average grass pollen counts in the pre-peak, peak and post-peak periods. Overall the forecast models achieved 62% accuracy in 2000 and 47% in 2002, reflecting the fact that the 2002 grass pollen season was of a higher magnitude than any of the other seasons included in the analysis. This study has the potential to make a notable contribution to the field of aerobiology. Winter averages of the North Atlantic Oscillation were used to predict certain characteristics of the grass pollen season, which presents an important advance in aerobiological work. The ability to predict allergenic pollen counts for a period between five and seven days will benefit allergy sufferers. Furthermore, medium-range forecasts for allergenic pollen will be of assistance to the medical profession, including allergists planning treatment and physicians scheduling clinical trials.

The Day Roads Became Rivers: A GIS-Based Assessment of Flash Floods in Worcester

In the last 4 years Worcester, UK has been hit by several intense convective rainstorms, which caused flash floods outside of existing surface drainage networks. This paper addresses two questions related to such events: Firstly to what extent can the occurrence of flash flood flow accumulation can be determined using only commonly available data and tools, assuming the rainfall events caused mainly surface runoff due to their tropical intensity and the relatively impermeable urban catchment surface? Secondly, are the flood in-cidents in Worcester aggravated by roads serving as preferential flow paths under these conditions? The as-sessment results indicated that roads do not have an influence on the flow path of flash flood rainfall in Worcester. Flow accumulation calculated with a 10m DEM, corresponds well with reported flood incidents. This basic assessment method can be used to inform the implementation of non structural flood mitigation and public awareness.

Relative Efficiencies of the Burkard 7-Day, Rotorod and Burkard Personal Samplers for Poaceae and Urticaceae Pollen under Field Conditions

Introduction: In aerobiological studies it is often necessary to compare concentration data recorded with different models of sampling instrument. Sampler efficiency typically varies from device to device, and depends on the target aerosol and local atmospheric conditions. To account for these differences inter-sampler correction factors may be applied, however for many pollen samplers and pollen taxa such correction factors do not exist and cannot be derived from existing published work. Materials and methods: In this study the relative efficiencies of the Burkard 7-Day Recording Volumetric Spore Trap, the Sampling Technologies Rotorod Model 20 and the Burkard Personal Volumetric Air Sampler were evaluated for Urticaceae and Poaceae pollen under field conditions, and the influence of wind speed and relative humidity on these efficiency relationships was assessed. Data for the two pollen taxa were collected during 2010 and 2011-12 respectively. Results: The three devices were found to record significantly different concentrations for both pollen taxa, with the exception of the 7-Day and Rotorod samplers for Poaceae pollen. Under the range of conditions present during the study wind speed was found to only have a significant impact on inter-sampler relationships involving the vertically orientated Burkard Personal sampler, whilst no interaction between relative efficiency and relative humidity was observed. Conclusions: Data collected with the three models of sampler should only be compared once the appropriate correction has been made, with wind speed taken into account where appropriate.

Determination of Alternaria spp. Habitats Using 7-Day Volumetric Spore Trap, Hybrid Single Particle Lagrangian Integrated Trajectory Model and Geographic Information System

There are many species among the Alternaria genus, which hosts on economically important crops causing significant yield losses. Less attention has been paid to fungi hosting on plants constituting substantial components of pastures and meadows. Alternaria spp. spores are also recognised as important allergens. A 7-day volumetric spore trap was used to monitor the concentration of airborne fungal spores. Air samples were collected in Worcester, England (2006–2010). Days with a high spore count were then selected. The longest episode that occurred within a five year study was chosen for modelling. Two source maps presenting distribution of crops under rotation and pastures in the UK were produced. Back trajectories were calculated using the HYSPLIT model. In ArcGIS clusters of trajectories were studied in connection with source maps by including the height above ground level and the speed of the air masses. During the episode no evidence for a long distance transport from the continent of Alternaria spp. spores was detected. The overall direction of the air masses fell within the range from South-West to North. The back trajectories indicated that the most important sources of Alternaria spp. spores were located in the West Midlands of England.