Sökning: "Z’-score"

Visar resultat 21 - 25 av 86 uppsatser innehållade ordet Z’-score.

1. 21. NDVI time series analysis for desert locust outbreak detection and quantification analysis of its impact on vegetation productivity of Sahel

   Master-uppsats, Lunds universitet/Institutionen för naturgeografi och ekosystemvetenskap

   Författare :Evangelos Oikonomopoulos; [2020]
   Nyckelord :Physical Geography and Ecosystem Analysis; Primary Productivity; Desert Locust; NDVI; Time Series Analysis; Outbreak Detection; Food Security; Sahel; Insect Disturbances; GEM; Earth and Environmental Sciences;

   Sammanfattning : It has been shown that the semi-arid environment of the Sahelian belt plays an important role in the global carbon uptake as the fluctuation of its primary productivity can be determinant for the global carbon uptake. The insect Schistocerca gregaria commonly known as the desert locust is a disturbance factor that can affect the vegetation productivity for consecutive seasons. LÄS MER

3. 22. A remote-sensing approach to studying drought resistance in Swedish old-growth and production forests

   Master-uppsats, Lunds universitet/Institutionen för naturgeografi och ekosystemvetenskap

   Författare :Julika Wolf; [2020]
   Nyckelord :Physical Geography and Ecosystem Analysis; drought impacts; old-growth forests; forest management; remote sensing; Earth and Environmental Sciences;

   Sammanfattning : Boreal forest ecosystems are predicted to experience hotter and drier summers due to climate change, leading to more frequently reduced soil water availability and an increased risk of droughts, as was already the case in Northern Europe during the severe summer drought of 2018. Prolonged water stress in forest ecosystems can lead to impacts ranging from reduced photosynthesis to forest dieback. LÄS MER

4. 23. Är de kända Altmans Z-scoremodellerna lämpade på den svenska turistmarknaden och vilka varningssignaler kan utläsas för företagsmisslyckande? : En kvantitativ forskning över svenska onoterade små och medelstora turistföretag och tecken på konkurs

   Kandidat-uppsats, Södertörns högskola/Företagsekonomi

   Författare :Diana Aitova; Gabriella Krohn Ams; [2020]
   Nyckelord :Z-score; Z’-score; Z ”-score; bankruptcy prediction; bankruptcy and EWS; Z-score; Z’-score; Z”-score; konkursprediktion; konkurs och EWS;

   Sammanfattning : Research question: This thesis analyzes the relationship between Altman’s Z’-and Z’’ score model in order to investigate the suitability of the models on the swedish small and medium companies during 2015-2019. Furthermore, analysis of previous research key figures has been examined in more detail to identify which of the individual key figures can be categorized as an early warning signal. LÄS MER

5. 24. Research on Credit Risk Measurement of China’s Listed Companies with KMV Model

   Magister-uppsats, Lunds universitet/Nationalekonomiska institutionen

   Författare :Tong Liu; Xiuyi Chen; [2020]
   Nyckelord :Credit risk measurement model; KMV model; Z-Score model; ST companies; ROC curve.; Business and Economics;

   Sammanfattning : This thesis takes 200 Chinese listed companies as examples within ten years from 2009 to 2018, of which 100 are ST companies and the other 100 are non-ST companies. ST company is a company that has financial problems and was then implemented with special treatment by the China Securities Regulatory Commission. LÄS MER

7. 25. Konkursprediktionsmodeller Inom Tillverknings- och detaljhandelsbranschen

   Kandidat-uppsats, Södertörns högskola/Företagsekonomi

   Författare :Sebastian Högye; Tommie Andersson; [2020]
   Nyckelord :Z-score model; Z´´-score model; O-score model; Skogsvik’s HCA model; bankruptcy prediction; bankruptcy; Z-scoremodellen; Z´´-scoremodellen; O-scoremodellen; Skogsviks HCA modell; konkursprediktioner; konkurs;

   Sammanfattning : Research question: Three models, Z``-score, O-score and Skogsvik HCA model, will be used in this study to examine Swedish companies who has gone bankrupt over the last decade within the manufacturing and retail branches. The study will examine how these models stand against each other when it comes to predict bankruptcy within these two branches one and two years in advance. LÄS MER