POSSIBILITIES OF IMPROVING THE METHODS AND TECHNIQUES USED IN THE SURVEILLANCE OF CREDIT RISK MANAGEMENT

Through their daily activities, credit institutions are subject to various risks which could affect both the bank and the whole banking system, national and transnational. The activity field of the banks, marked by volatility, by the internationalization and liberalization of the financial markets, is in a continuous change. The contagion effect, as it has been proved by the spread of the financial crisis' effects, determines the surveillance authorities to pay increased attention to the financial risks and implicitly to the systemic risk. In this study, to start with, there shall be presented some aspects regarding the banking rating systems used by the surveillance authorities and then some ways of improving the models of managing credit risk in banks. In the end, there will be demonstrated that the risk profile of the banking institution has a determining role in the management of the credit portfolio.banking system, banking risk, surveillance, rating systems, credit portfolio, investment.

THE MANAGEMENT OF CREDIT RISK ACCORDING TO INTERNAL RATINGS- BASED APPROACH

The internal ratings based approach (IRB Approach) was created as part of Basel II replacing the original Basle Accord of 1988 (Basle I) in an effort to create a better framework for regulating bank capital. This paper covers the methodology and components of the IRB Approach used to determine capital requirements for credit risk. Such an approach, which relies heavily upon a bank's internal assessment of its counterparties and exposures, can secure two key objectives consistent with those which support the wider review of The New Basel Capital Accord.. IRB approach should promote safety and soundness in the financial system and, consistent with providing incentive compatibility, that the structure and requirements of the IRB approach do not impinge upon or undermine banks' well-established lending and credit risk management practicesBasel II, credit risk, internal rating based approach;

Survival analysis of culling reasons and economic examination of production period in sow culling

The culling of the sows is an important task of the breeders and farmers, besides it is a determining factor of profitable pork production. During our research we have surveyed the data of 1969 sows in a Hungarian large-scale pig farm. For the calculation of our results we used one of the non-parametric forms of survival analysis, the Kaplan-Meier analysis. For the quantification of death intensity we applied another survival analysis model, the log-rate exponential model. We have found out the risk values of various culling reasons form the point of view of culling. Besides, we tried to quantify by an economic model how the production period of sows influences the average costs of piglets and the average costs of piglets per kilo at 2006 prices. We calculated that the 5th farrowing is the minimum cost place.Sow culling, Risk analysis, Sow productivity, Average costs of piglets, Livestock Production/Industries,

Analysis and optimization regarding the activity of a Hungarian Pig Sales and Purchase Cooperation

In many ways, the Hungarian pork chain faces considerable disadvantages when compared to the situation in competing countries. In countries endowed with a modern meat chain, heavy concentration is the rule, but in Hungary decentralization still prevails, although thankfully the chain is not disintegrating even further. In our research we used the operation of co-operatives as a model in terms of a generalized network problem. The model allows the quantification of the number of pigs from given farms to slaughterhouses, the maximum sales revenue, the delivery threshold prices, and an analysis of the impact co-operative members exert on sales revenues.pork production, integration, network, linear programming, Demand and Price Analysis, Farm Management, Livestock Production/Industries, Research Methods/ Statistical Methods,

Generalised thresholding of hidden variable network models with scale-free property

The hidden variable formalism (based on the assumption of some intrinsic node parameters) turned out to be a remarkably efficient and powerful approach in describing and analyzing the topology of complex networks. Owing to one of its most advantageous property - namely proven to be able to reproduce a wide range of different degree distribution forms - it has become a standard tool for generating networks having the scale-free property. One of the most intensively studied version of this model is based on a thresholding mechanism of the exponentially distributed hidden variables associated to the nodes (intrinsic vertex weights), which give rise to the emergence of a scale-free network where the degree distribution p(k) similar to k(-gamma) is decaying with an exponent of gamma = 2. Here we propose a generalization and modification of this model by extending the set of connection probabilities and hidden variable distributions that lead to the aforementioned degree distribution, and analyze the conditions leading to the above behavior analytically. In addition, we propose a relaxation of the hard threshold in the connection probabilities, which opens up the possibility for obtaining sparse scale free networks with arbitrary scaling exponent

Jaina Non-Tīrthas in Madhyadeśa I: Fragments of Digambara Temples and A New Vaiṣṇava Inscription in Tumain

The article introduces the term 'non-tīrtha' as a new analytical category to designate Jaina sacred sites that have vanished or do not yet exist, according to the cyclical Jaina conception of history. It presents new evidence on two different Digambara 'non-sites': Māmoṃ (Bhāmauna) and Tumain (Tumbavana). The Digambara temple of Māmoṃ has completely disintegrated, but is still listed as a tīrtha in Jaina pilgrimage guides, while the non-tīrtha of Tumain is not listed, despite its numerous ancient Jaina sculptures, pillars, and other historical remains. The article presents evidence for the long-sought location of a Jaina temple, and a previously unpublished 10th to 11th century Vaiṣṇava copper-plate inscription, featuring one of the oldest known epigraphic records pertaining to the history of yoga

Self Assembly and Optical Properties of Dendrimer Nanocomposite Multilayers

Ultrathin multilayers are important for electrical and optical devices, as well as for immunoassays, artificial organs, and for controlling surface properties. The construction of ultrathin multilayer films by electrostatic layer-by-layer deposition proved to be a popular and successful method to create films with a range of electrical, optical, and biological properties. Dendrimer nanocomposites (DNCs) form highly uniform hybrid (inorganic–organic) nanoparticles with controlled composition and architecture. In this work, the fabrication, characterization, and optical properties of ultrathin dendrimer/poly(styrene sulfonate) (PSS) and silver–DNC/PSS nanocomposite multilayers using layer-by-layer (LbL) electrostatic assembly techniques are described. UV-vis spectra of the multilayers were found to be a combination of electronic transitions of the surface plasmon peaks, and the regular frequency modulations attributable to the multilayered film structure. The modulations appeared as the consequence of the highly regular and non-intermixed multilayer growth as a function of the resulting structure. A simple model to explain the experimental data is presented. Use of DNCs in multilayers results in abrupt, flat, and uniform interfaces.Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/56176/1/1032_ftp.pd

Osteosarcoma: From Molecular Biology to Mesenchymal Stem Cells

Osteosarcoma is the most common primary malignant tumour of bone. Currently, despite treatment with multi-agent chemotherapy and limb salvage surgery, the five-year survival rate for osteosarcoma remains at 70%. The pathogenesis of osteosarcoma is complex and involves alterations in cellular apoptosis, adhesion, migration, invasion and molecular signalling. Research most recently has focused on the molecular basis of the disease with the goal of identifying novel therapeutic targets. To this end, mesenchymal stem cells (MSCs) have been identified to play a role in sarcomagenesis. MSC transformation may give rise to tumours, whereas interactions of MSCs with osteosarcoma cells in the tumour microenvironment may cause increased cell proliferation. This is in stark contrast to the role of MSCs as a promising source for tissue repair and regeneration. In order to utilize MSCs for biological reconstruction in the setting of osteosarcoma, further research is necessary to delineate the role of MSCs in osteosarcoma transformation and progression