Essays about: "financial modeling analysis"

Showing result 6 - 10 of 54 essays containing the words financial modeling analysis.

  1. 6. Innovation in Industrial Building Sustainability : Exploring timber frames as a viable alternative to steel frames in industrial buildings A case study of Sweco AB

    University essay from Uppsala universitet/Institutionen för samhällsbyggnad och industriell teknik

    Author : Kiavosh Saidi Mosanen; Ibrahim Mohamed Fathi Taha; [2023]
    Keywords : Sustainability; Industrial buildings; Construction; Material selection; Timer; Steel; Innovation; Sustainability; Hållbarhet; Industribyggnader; Konstruktion; Materialval; Timer; Stål; Innovation; Hållbarhet;

    Abstract : Lund University (2020) describes that the material chosen for the construction of constructions significantly affects the environment. Due to the impact of the choice of construction materials on the environment, we have carried out an in-depth study where we examine the complex decision-making process when choosing frame materials concerning both external and internal factors where external influences become regulatory requirements related to global sustainability goals with the aim that the industrial construction industry can find sustainable solutions such as hybrid solutions in the choice of frame materials, while internal factors involve financial considerations linked to the protection of materials against environmental conditions and challenges that industrial buildings can face. READ MORE

  2. 7. Scenario Generation for Stress Testing Using Generative Adversarial Networks : Deep Learning Approach to Generate Extreme but Plausible Scenarios

    University essay from Umeå universitet/Institutionen för matematik och matematisk statistik

    Author : Jonas Gustafsson; Conrad Jonsson; [2023]
    Keywords : Machine Learning; Generative Adversarial Network GAN ; Wasserstein Generative Adversarial Network WGAN ; Scenario Generation; Stress Testing; Central Counterparty Clearing;

    Abstract : Central Clearing Counterparties play a crucial role in financial markets, requiring robust risk management practices to ensure operational stability. A growing emphasis on risk analysis and stress testing from regulators has led to the need for sophisticated tools that can model extreme but plausible market scenarios. READ MORE

  3. 8. Application of the Merton Model and the Altman Z-score Model in Credit Risk Assessment - an Empirical Study on Chinese Listed Companies

    University essay from Lunds universitet/Nationalekonomiska institutionen

    Author : Runzhou Chen; Hongzhe Fu; [2023]
    Keywords : Credit risk assessment; the Merton Model; The Altman Z-score model; Chinese market; Business and Economics;

    Abstract : Corporate default poses significant risks to investors and stakeholders, highlighting the importance of predicting and managing financial risk effectively. When the geographical scope is narrowed down to China, the unique characteristics of the Chinese market, such as the lack of comprehensive credit risk databases and the influence of state-owned enterprises and small-medium enterprises, present challenges in accurately assessing creditworthiness. READ MORE

  4. 9. Modeling Interest Rate Risk in the Banking Book

    University essay from KTH/Matematik (Avd.)

    Author : Måns Ulmgren; [2022]
    Keywords : applied mathematics; IRRBB; Nelson Siegel; yield curve; tillämpad matematik; IRRBB; Nelson Siegel; avkastningskurva;

    Abstract : For a long time, being able to model and mitigate financial risk has been a key success factor for institutions. Apart from an internal incentive, legal and regulatory requirements continue to develop which increases the need for extensive internal risk control. READ MORE

  5. 10. Deep Learning Approach for Time- to-Event Modeling of Credit Risk

    University essay from KTH/Matematisk statistik

    Author : Mehnaz Kazi; Natalija Stanojlovic; [2022]
    Keywords : Survival Analysis; Credit Risk; Credit Scoring; Time-To-Event; Default Probability; Överlevnadsanalys; Kreditrisk; Kreditprövning; Tid-till-utfall; Sannolikhet för fallissemang;

    Abstract : This thesis explores how survival analysis models performs for default risk prediction of small-to-medium sized enterprises (SME) and investigates when survival analysis models are preferable to use. This is examined by comparing the performance of three deep learning models in a survival analysis setting, a traditional survival analysis model Cox Proportional Hazards, and a traditional credit risk model logistic regression. READ MORE