Essays about: "Finansiella resultat."

Showing result 6 - 10 of 155 essays containing the words Finansiella resultat..

1. 6. The Science Based Targets initiative: Its impact on the financial results and the determinants to joing

   University essay from KTH/Skolan för industriell teknik och management (ITM)

   Author : Beatriz Pineda Pérez; [2023]
   Keywords : Science Based Targets initiative; Financial impact; Difference-in-Differences; Greenhouse Gas Emissions; Science Based Targets initiativ; Ekonomisk påverkan; Difference-in-Differences; Greenhouse Gas Emissions.;

   Abstract : We are currently experiencing a climate crisis. The planet’s temperature is rising considerably due to the emission of greenhouse gases generated by human activities. This situation poses a challenge for everyone, including companies. Private sector actors are taking actions to mitigate the consequences of climate change, such as global warming. READ MORE

3. 7. Statistical Modelling of Price Difference Durations Between Limit Order Books: Applications in Smart Order Routing

   University essay from KTH/Matematisk statistik

   Author : Hannes Backe; David Rydberg; [2023]
   Keywords : Smart Order Routing; Market Microstructure; Statistical Modelling; Survival Analysis; Kaplan-Meier; Cox Proportional Hazards; Random Survival Forest; Smart Order Routing; Marknadsmikrostruktur; Statistisk Modellering; Överlevnadsanalys; Kaplan-Meier; Cox Proportional Hazards; Random Survival Forest;

   Abstract : The modern electronic financial market is composed of a large amount of actors. With the surge in algorithmic trading some of these actors collectively behave in increasingly complex ways. Historically, academic research related to financial markets has been focused on areas such as asset pricing, portfolio management and financial econometrics. READ MORE

4. 8. Applying the Shadow Rating Approach: A Practical Review

   University essay from KTH/Matematik (Avd.)

   Author : Viktor Barry; Carl Stenfelt; [2023]
   Keywords : Shadow Rating; probability of default; low default portfolio; credit risk; statistical learning; financial regulation; Basel; Pluto and Tasche; Skuggrating; sannolikhet av fallissemang; lågfallissemangsportfölj; kreditrisk; statistisk inlärning; finansiella regelverk; Basel; Pluto och Tasche;

   Abstract : The combination of regulatory pressure and rare but impactful defaults together comprise the domain of low default portfolios, which is a central and complex topic that lacks clear industry standards. A novel approach that utilizes external data to create a Shadow Rating model has been proposed by Ulrich Erlenmaier. READ MORE

5. 9. LSTM-based Directional Stock Price Forecasting for Intraday Quantitative Trading

   University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Author : Isabella Mustén Ross; [2023]
   Keywords : Deep Learning; Long-Short-Term-Memory LSTM ; ARIMA; Financial Time Series Forecasting; Algorithmic Trading; Intraday Trading; Stock Prediction; Djupinlärning; LSTM; ARIMA; finansiella tidsserier; algoritmisk aktiehandel; intradagshandel; aktieprediktion;

   Abstract : Deep learning techniques have exhibited remarkable capabilities in capturing nonlinear patterns and dependencies in time series data. Therefore, this study investigates the application of the Long-Short-Term-Memory (LSTM) algorithm for stock price prediction in intraday quantitative trading using Swedish stocks in the OMXS30 index from February 28, 2013, to March 1, 2023. READ MORE

6. 10. Generating Extreme Value Distributions in Finance using Generative Adversarial Networks

   University essay from KTH/Matematik (Avd.)

   Author : William Nord-Nilsson; [2023]
   Keywords : Extreme Value Theory; Generative Adversarial Networks; Stress Testing; Machine Learning; Convolutional Neural Networks; evtGAN; Extreme Events; Extremvärdesteori; Generativa nätverk; Stresstestning; Maskininlärning; Djupt neuralt nätverk; evtGAN; Extrema händelser;

   Abstract : This thesis aims to develop a new model for stress-testing financial portfolios using Extreme Value Theory (EVT) and General Adversarial Networks (GANs). The current practice of risk management relies on mathematical or historical models, such as Value-at-Risk and expected shortfall. READ MORE