Essays about: "practical methods for pricing"

Showing result 1 - 5 of 13 essays containing the words practical methods for pricing.

1. 1. Mapping and analysing the current waste paper recycling system in Europe for a new fiber-based packaging material

   University essay from KTH/Hållbar utveckling, miljövetenskap och teknik

   Author : Hande Seker Cakal; [2023]
   Keywords : Separate waste collection; material recovery; material recycling; extended producer responsibility; fiber-based cushioning packaging; Separat avfallsinsamling; materialåtervinning; utökat producentansvar; fiberbaserad dämpningsförpackning;

   Abstract : Fiber-based packaging has emerged as an alternative to plastic packaging, driven by concerns regarding environmental impact and excessive usage of plastic. In response to market trends favouring circular packaging solutions, Stora Enso is preparing to introduce Papira, an innovative fiber-based cushioning packaging material, in Europe. READ MORE

3. 2. ESG: The Relationship Between “Ethical” Investing and Abnormal Returns

   University essay from Lunds universitet/Nationalekonomiska institutionen

   Author : Per Malm; [2022]
   Keywords : ESG; Abnormal Returns; High Minus Low; Asset Pricing Model; Business and Economics;

   Abstract : This essay examines the relationship between ESG and abnormal returns and its implications on investing. To investigate this topic, I allocate stocks into zero-investment portfolios based on high and low ESG, using three different weighting methods, equal weighting, value weighting and portfolio optimization. READ MORE

4. 3. Pricing of Embedded Options: Implementing Stochastic Interest Rates & Stochastic Spread

   University essay from Lunds universitet/Matematisk statistik

   Author : Jan Müller; [2022]
   Keywords : Option pricing; Callable bonds; Affine term structure models; Hull-White one-factor; Hull White two-factor; Trinomial trees; Short rate; Default intensity; Swaption volatilities; Black-76; Credit derivatives; Calibration; Optimisation.; Mathematics and Statistics;

   Abstract : Given the current market climate, in an era of negative interest-rates, the Hull-White model has regained popularity in the eyes of investors. This thesis aims to extend this model to incorporate credit risk, to allow the modelling of credit derivatives such as diff swaps, defaultable corporate bonds and credit default swaps. READ MORE

5. 4. Towards a Method for Utilizing Value-based pricing on Smart Services

   University essay from Luleå tekniska universitet/Institutionen för ekonomi, teknik och samhälle

   Author : Oskar Andreasson; Per Ole Lambrecht; [2022]
   Keywords : Smart Services; Value-based pricing; Revenue Model Design; Value Drivers; Willingness To Pay; Customer Perceived Value; Method Development.; Smarta tjänster; Värdebaserad prissättning; Intäktsmodelldesign; Värdedrivare; Willingness To Pay; Customer Perceived Value; Metodutveckling.;

   Abstract : Purpose - The purpose of this thesis was to develop a method for how practitioners can utilize value-based pricing of smart services. In order to fulfill this purpose, the following research questions were addressed: RQ1) How can firms identify value drivers for their smart services in order to understand customer perceived value? RQ2) How can firms match the perceived value of their smart service and what type of revenue model to use (i. READ MORE

6. 5. Deep Learning and the Heston Model:Calibration & Hedging

   University essay from Göteborgs universitet/Institutionen för nationalekonomi med statistik

   Author : Oliver Klingberg Malmer; Victor Tisell; [2020-07-03]
   Keywords : deep learning; deep hedging; deep calibration; option pricing; stochastic volatilty; Heston model; S P 500 index options; incomplete markets; transaction costs;

   Abstract : The computational speedup of computers has been one of the de ning characteristics of the 21st century. This has enabled very complex numerical methods for solving existing problems. As a result, one area that has seen an extraordinary rise in popularity over the last decade is what is called deep learning. READ MORE