Essays about: "IFRS 9"

Showing result 1 - 5 of 23 essays containing the words IFRS 9.

  1. 1. Unraveling earnings management: A comprehensive analysis of loan loss provisions under IFRS 9 and the influence of executive remuneration

    University essay from Handelshögskolan i Stockholm/Institutionen för redovisning och finansiering

    Author : August Forsell; Daan van Elk; [2023]
    Keywords : Loan loss provisions; Banks; IFRS 9; Earnings management; Executive remuneration;

    Abstract : This study examines what impact the change from the Incurred Loss (IL) model under IAS 39 to the Expected Credit Loss (ECL) model under IFRS 9 had on earnings management through loan loss provisions (LLP). By studying a sample of listed European banks, our findings suggest that CEOs manage earnings through LLP but with different loss recognition practices under the two accounting regimes, recognizing fewer LLP under IAS 39 and more under IFRS 9. READ MORE

  2. 2. Loan Loss Provisions and Lending Activity in Banks : A quantitative study comparing the effects of loan loss provisions on lending activity in banks applying IFRS 9 and ASC 326

    University essay from Umeå universitet/Företagsekonomi

    Author : Rikard Fredmer; Alicia Julienne Zanic; [2023]
    Keywords : Agency Theory; ASC 326; Basel III; Earnings Management; Expected Credit Loss es ; Expected Credit Loss Model; FASB; IASB; IFRS; IFRS 9; Lending Activity; Loan Loss Allowance s ; Loan Loss Provision s ; New Loans Originated; Procyclicality; Signaling Theory; Stewardship Theory; US GAAP;

    Abstract : As a response to the financial crisis of 2008 the IASB and the FASB developed IFRS 9 and ASC 326, respectively. These accounting regulations are supposed to increase reporting transparency and promote financial stability by determining the calculation and recognition of loan loss provisions. READ MORE

  3. 3. Peeking Through the Leaves : Improving Default Estimation with Machine Learning : A transparent approach using tree-based models

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

    Author : Elias Hadad; Angus Wigton; [2023]
    Keywords : Machine learning; Expected credit loss; Probability of default; ECL; PD; Risk Management; Credit Risk Management; Default Estimation; AI; Artificial intelligence; Fintech; Supervised learning; Decision tree; Random forest; XG boost; Transparency; Machine learning transparency;

    Abstract : In recent years the development and implementation of AI and machine learning models has increased dramatically. The availability of quality data paving the way for sophisticated AI models. Financial institutions uses many models in their daily operations. READ MORE

  4. 4. The Expected Credit Loss Model's Impact on the Cyclicality of Credit Supply: A Study of the Implementation of IFRS 9

    University essay from Handelshögskolan i Stockholm/Institutionen för redovisning och finansiering

    Author : Oskar Duan; Iuliana Tornea; [2022]
    Keywords : Expected credit loss; Incurred credit loss; Capital crunch; IFRS 9; Capital Requirements;

    Abstract : The accounting standard for recognizing loan loss provisions changed in 2018 from IAS 39 to IFRS 9. IFRS 9 introduced the expected credit loss model (ECL), intended to be an improved alternative to its predecessor, the incurred credit loss model (ICL), which was criticized for the "too little, too late" provisioning during the 2008 financial crisis. READ MORE

  5. 5. Probability of Default Term Structure Modeling : A Comparison Between Machine Learning and Markov Chains

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

    Author : Hugo Englund; Viktor Mostberg; [2022]
    Keywords : Machine Learning; Deep Neural Networks; XGBoost; Probability of Default; Term Structure Modeling; IFRS 9; Maskininlärning; Djupa neuronnät; XGBoost; Fallisemangsrisk; Terminsstruktursmodellering; IFRS 9;

    Abstract : During the recent years, numerous so-called Buy Now, Pay Later companies have emerged. A type of financial institution offering short term consumer credit contracts. As these institutions have gained popularity, their undertaken credit risk has increased vastly. Simultaneously, the IFRS 9 regulatory requirements must be complied with. READ MORE