Problem: I dagens Sverige har det blivit tämligen enkelt att starta upp ett eget aktiebolag och till följd av detta har antalet konkurser ökat. Konkursprediktion med hjälp av finansiella nyckeltal är ett beforskat område och sträcker sig tillbaka till början av 1960-talet. Altmans Z- scoremodeller är de mest tillämpade modellerna att förutspå en konkurs. Problematiken är att Z-scoremodellerna inte genererar lika hög träffsäkerhet i Sverige då modellerna är konstruerade i USA som härstammar från en annan redovisningstradition och tillämpar ett annat regelverk. Syfte: Studiens syfte är att testa Altmans Z ́-scoremodell utifrån den kontinentala redovisningstraditionen på 2000-talet. Vidare är syftet att modifiera Z ́-scoremodellen genom att utveckla modellen i enlighet med svensk redovisning. Metod: Studien bygger på en kvantitativ metod med en deduktiv forskningsansats och utifrån ett positivistiskt perspektiv. Analysen utgår från Altmans Z ́-scoremodell och en multipel diskriminantanalys. Slutsats: Studien visar att de finansiella nyckeltalen kan förutspå en konkurs på ett tillförlitligt sätt med hjälp av studiens egenutvecklade modell ZPP-scoremodellen. Modellen har en träffsäkerhet på 88 procent ett år före konkurs på svenska tillverkande företag. Emellertid visar studien att Altmans Z ́-scoremodell inte är tillförlitlig utan måste modifieras i enlighet med svensk redovisning för att kunna erhålla en välfungerande och tillförlitlig modell. / Problem: Today in Sweden it has become equally easy to start up a private limited company and as a result of this, the number of bankruptcies increased. Bankruptcy prediction using financial ratios is a well-researched area and extends back to the early 1960s. The most used models are Altman's Z-scoremodels. The problem is that the Z-scoremodels do not generate as high precision in Sweden because the models are designed in the United States, which is originating from a different accounting tradition and applies a different set of regulations.Purpose: The study aims to test the Altman Z'-score model on the continental accounting tradition in the 2000s. Furthermore, it intends to modify the Z'-score model by developing the model in accordance with Swedish accounting.Method: This paper is based on a quantitative method with a deductive research approach and from a positivistic perspective. The analysis is based on the Altman Z' –scoremodel and multiple discriminant analysis.Conclusion: This paper shows that financial ratios can predict a bankruptcy reliably using the papers developed model ZPP -scoremodel. The model has a precision of 88 percent a year before the bankruptcy of Swedish manufacturing companies. However, the paper shows that Altman Z' -scoremodel is not reliable without being modified in accordance with Swedish accounting in order to obtain an efficient and reliable model.

BACKGROUND: The aim was to compare the thickness of the palatal masticatory mucosa as determined on a cone-beam computerized (CBCT) scan versus thickness determined via bone-sounding. METHODS: A total of twenty patients requiring palatal surgery participated. Thickness of the palatal tissue was measured at various points radiographically and clinically. The two techniques were compared to determine the agreement of the two measurement modalities. RESULTS: Analysis of variance determined that there was no significant difference between the two methods. A small bias of the radiographic measurement being larger was found to be statistically significant (0.09 ± 0.69mm; p <0.0001). Moreover, the tissue thickness was shown to increase as the distance from the gingival margin increased and the tissue over the molars was thinner than the tissue over the premolars. CONCLUSIONS: CBCT can be used to accurately determine the soft tissue thickness of the palatal masticatory mucosa with minimal bias.

The aim of this study is to measure the effectiveness of Altman’s Z-Score model using Non-performing assets (NPA) as a benchmark stability indicator. To do that, this paper examines if Altman’s Z Score Models capture the decline in financial health of the banks caused by the NPAs, using a two-fold analysis i.e., in advance through prediction and when the distress period is ongoing. The findings of this paper would suggest that: 1. During the distress period: The Z-Scores only marginally capture the distress caused by the NPAs, which is in line the findings of Almamy et al that the predictive ability of the model goes down during the crisis period. 2. For the future: The results of the statistical t-tests indicate that, the Z-Scores do not have the predictive ability to capture the future NPAs. Two different models that are developed by Altman - one for non-manufacturing firms and the other for the emerging markets, are used to test, if one model is more suitable than the other to the Indian banking sector. The findings of this paper suggest that, due to the uniqueness of the Indian banking sector during the NPA crisis, the ‘Emerging market model’, does not produce any significantly better results. Therefore, there is further scope to develop a tailor-made model suitable to the Indian banking sector.

The two most common methods to measure resting metabolic rate using indirect calorimetry are steady state or time interval. Steady state is commonly defined as the first five minutes in which oxygen consumption and carbon dioxide production vary by <10%. A time interval measurement generally lasts 20-60 minutes. Using steady state criteria is often harder to achieve, but many suggest it more accurately measures resting metabolic rate. Our objective was to determine if there were differences between steady state and time interval measurements in a healthy adult population. Seventy seven subjects were measured for 45 minutes. Inclusion criteria included healthy subjects ages 18-65, excluding pregnant and lactating women. Paired t-tests analyzed differences between measures, and Bland-Altman plots evaluated bias, precision, and accuracy. Of 77 subjects, 84% achieved steady state, and 95% achieved SS by minute 30. Most differences between steady state and time intervals were statistically but not practically significant. Bland-Altman plots showed steady state measurements were generally lower indicating that steady state is more indicative of resting metabolic rate. Minutes 6-25 were most precise, accurate and fairly unbiased compared to steady state. We recommend measuring a subject for 30 minutes and using steady state criteria of <10% variation of oxygen consumption and carbon dioxide production for five minutes if a subject is able to achieve it. However, if a subject cannot achieve steady state, we recommend averaging minutes 6-25.

In this paper I give a thorough account of the history of the open question argument. I have provide Moore’s original impetus for it and its traditional formulation. I then examine the Cornell Realists’ objection to that original formulation and showed that their objection does indeed show the open question argument to be incorrect in its conclusions. Having presented the history of the open question argument and having assessed the most challenging objections to it, I turn to Andrew Altman’s powerful reconstruction of the open question argument in order to see how well, if at all, it sidesteps the objections leveled against the classical formulation. I then argue that while Altman does present the most coherent defense of the open question argument available, I conclude that insofar as he has rested upon a commitment to Carnap's philosophy of language over a Fregean semantic and an untenable rendering of post-Kripkean philosophy of language as it concerns rigid designation, we must reject his reformulation. Given that rigid designation itself undermines Altman’s position, I conclude that the open question is still in need of a defense before it can regain its position as a major player in the discipline of ethics.

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Texte remanié de: Diss. M.A.--Jewish history--Tel-Aviv--Tel-Aviv university, 1989. / Le verso de la p. de titre porte : "Tossia : Tossia Altman, leader of 'Hashomer Hatzair' movement and of the Warsaw gheto uprising" Bibliogr. p. 268-274. Index.

Bakgrund: Många företag går i konkurs varje år vilket leder till att olika intressenter drabbas hårt till följd av konkursen. Därmed har konkursprognostiseringsmodeller utvecklats för att ge en tidig varning till intressenterna om företags framtida finansiella kris.  I Sverige använder kreditinstituten sig av sina egna modeller för att förutspå konkurser, dessa modeller är inte publicerade för allmänheten. I och med detta är vi intresserade att tillämpa utländska modeller på den svenska marknaden. Syfte: Syftet med denna uppsats är att undersöka fyra internationella prognostiseringsmodeller för att analysera hur tillämpbara de är på den svenska marknaden. Metod: Undersökningen har baserats på en kvantitativ forskningsstrategi och en deduktiv forskningsansats. Urvalet grundades på de företag som inlett konkurs år 2012 samt en kontrollgrupp bestående av friska företag. Slutligen bestod det slumpmässiga urvalet av 31 konkursföretag och 31 friska företag som tillhör tillverknings- och industribranschen. Teori: Under teoriavsnittet beskrivs de modeller som används i denna studieforskning. Vidare redogörs för nyckeltalens betydelse vid bedömning av företags finansiella förhållanden. Slutligen beskrivs tidigare forskning inom konkursprognostisering. Resultat och slutsats: Modellerna är inte tillämpbara på den svenska tillverknings- och industribranschen då dessa inte har presenterat tillförlitliga resultat på vår studie. Vi anser att en vidare revidering av dessa modeller behövs för att dessa ska kunna tillämpas på den svenska marknaden.

This thesis aims to study whether cash flow ratios can predict corporate financial distress in Sweden by employing multiple discriminant analysis. It was inspired by the Altman Z-score, which was adjusted for this aim. This study adopted a positivist epistemology and objectivist ontology. The research approach taken was a deductive one which employed quantitative methods in testing the hypotheses developed. The hypotheses were tested through means of accuracy and the Independent Samples Test. In order to identify financial distress a proxyratio was adopted. This proxy was the operating cash flow ratio. The sample consisted of 227 firms in total within the retail- and service industries. The time period covered 2000-2013. It was found that the proxy was unable to separate firms into distressed and nondistressedgroups, but rather classified all firms as distressed. Furthermore, the other ratios also failed to do any classification. Therefore, what the question that this study set out to answer came to the conclusion; cash flow ratios cannot predict corporate financial distress for retail and service companies in Sweden.

The purpose of this work was to study the ability of the Slacks-Based Model of Data Envelopment Analysis in the prediction of corporate failure of non-manufacturing companies as compared to Altman’s Z’’ score model. This research looks at non-manufacturing firms specifically and attempts to classify companies without looking at the asset size of the firm. A DEA model based on the Altman’s Z’’ score financial ratios was created as well as a revised DEA model. The overall accuracy of the models showed the revised DEA model to be more accurate than the original DEA model as well as the Altman Z’’ score. This indicated that bankruptcy could be predicted without the use of total assets or liabilities as variables. This also showed the ability of an SBM DEA model to predict bankruptcy.