Markus Dick analysiert den Verkauf ausgefallener Kredite (NPL) aus Sicht der Verkäufer. Er geht den Fragen nach, warum Banken NPL verkaufen bzw. mit welchen Problembereichen sie dabei konfrontiert sind und wie der Kapitalmarkt auf den Verkauf reagiert. Dr. Markus Dick ist wissenschaftlicher Mitarbeiter am Institut für betriebliche Finanzwirtschaft, Abteilung für Corporate Finance, der Johannes Kepler Universität Linz.
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Classification of whether recovery of non-performing loans (NPL) is zero or positive is not only important in management of non-performing loans, but also is essential for estimating recovery rate and implementing the new Basel Capital Accord. Based on the largest database of NPL's recovering information in China, this paper tries to establish discriminant models to predict the loan with zero recovery. We first use Step-wise discrimination method to select variables; then give an in-depth analysis on why the selected variables are important factors influencing whether a loan is zero or positive recovery rate. Using the selected variables, we establish two-type discriminant models to classify the NPLs. Empirical results show that both models achieve high prediction accuracy, and the characteristics of obligors are the most important factors in determining whether a NPL is positively recovered or zero recovered.
PurposeThe purpose of this paper is to make explicit how marketers employed in the pharmaceutical sector can ensure that the company is positioned in the industry as a result of a sustainable competitive advantage being achieved. Various factors are highlighted, including high research and development costs, stringent government regulations and cultural factors such as religion.Design/methodology/approachThe new product launch strategy model outlined in this paper was developed from both secondary and primary sources. A literature review was undertaken, a number of in‐depth personal interviews and a focus group session were conducted, which involved managers within a pharmaceutical company. The research strategy encompassed the case study method and the NPLS model was validated and can be viewed as generalisable.FindingsIt is clear from the research undertaken that some marketing models are viewed as being too complex; however, it is generally appreciated that marketing models can be used to interpret complex relationships that are evident in a marketing system.Research limitations/implicationsTwo weaknesses associated with the model were identified. First, the assumption that there was a one‐way relationship between the strategic launch decisions and the tactical launch decisions and, second, a feedback mechanism was absent that would provide users of the model with a means for evaluating their decisions and identifying alternative strategies and tactics. The model was amended and a feedback mechanism was introduced.Practical implicationsThe NPLS model can be used by marketing practitioners to enhance communication between corporate level staff and subsidiary level staff, and can be used to implement and/or facilitate the strategic marketing concept within a pharmaceutical company. The model can also be used to focus attention on risk reduction/elimination associated with market entry.Originality/valueThe NPLS model is an addition to marketing knowledge and can assist marketing academics and researchers to understand better how marketing models can be constructed and implemented. The model can also be used by marketing practitioners employed by pharmaceutical companies to make tactical and strategic decisions; to evaluate a new product launch strategy; and to devise international marketing entry plans and strategies.
The (soundness) level of Bank Umum can be assessed by several indicators. One of the main indicators that become base of evaluation is the financial report that concerned. Based on thefinancial report, will be calculated numbers of financial ratios commonly used as a rating of Commercial Bank (Bank Umum). Financial report analysis can help the businesses agents, isit government and other financial report users to assess the financial condition of the Bank. The results showed that the has no effect on ROA. LDR influence significantly on ROA. NIMno effect on ROA. BOPO influence significantly on ROA. The influence of NPL to ROA insignificant. These finding support the results of research conducted by Usman (2003) whereNPL did not influence significantly on earnings changes.Keywords: CAR, LDR, NIM, ROA, NPL, Banks, Financial Ratios
This paper examines the consequences of banks' performance on bank risk. The paper forms a theoretical model and delivers empirical evidence to identify that banks suffer in performance as the loans become bad. Using panel data from a sample of five (05) South-Asian emerging economies from 2011 to 2019, we have found that the banks are highly influenced by the development of non-performing loans (NPLs). We have primarily used Return on Asset (ROA) followed by Return on Equity (ROE) as a substitution to the performance of the banks and NPL as the proxy of bank risk. Simultaneous regression applying 3sls finds that Non-Performing Loan (NPL) hinders banks' growth, negatively affecting their profitability.