They will understand how fixed income products are used for the purposes of investment and risk transfer.Students will also develop a critical understanding of some of the controversies surrounding the use of fixed income products such as interest rate swaps and/ or collateralized debt obligations.In addition, please note that most theses supervised by the institute have an empirical part.
They will understand how fixed income products are used for the purposes of investment and risk transfer.Students will also develop a critical understanding of some of the controversies surrounding the use of fixed income products such as interest rate swaps and/ or collateralized debt obligations.In addition, please note that most theses supervised by the institute have an empirical part.Tags: Critical Thinking Group ActivitiesEssay On Energy Crisis EnglishDescriptive Essay Santa ClausBest Essay Writing WebsitesOpinion Essay For Animal TestingRiemann 1854 Habilitation DissertationEssay Writing ExamplesUncw Creative Writing Faculty
Students interested in professional asset management should consider participating in the two-year long Portfolio Management Program (PMP). level courses Finance Theory (VL UE, 4 SWS, 6 SP, WS) pdf This course reviews and extends students' understanding of methods for capital budgeting and the valuation of financial and non-financial assets.
Participation in the PMP will earn 10 ECTS, which can be credited to the "Überfachlicher Wahlbereich" (ÜWP). Topics include NPV, the term structure of interest rates, bond valuation, interest rate parity, the CAPM and the underlying portfolio theory, stock valuation, capital budgeting, the weighted average cost of capital, the theorems of Modigliani and Miller, and capital structure irrelevance as an application of put-call parity.
They will be able to apply standard pricing methods such as the binomial model and the Black-Scholes model, but will also develop a critical understanding of the derivatives business and its role in financial markets and society.
Fixed Income (VL UE, 4 SWS, 6 SP, SS) pdf On completition of the module, students will be familiar with the basic concepts of fixed income analysis and will be able to apply these concepts in the valuations of fixed income products.
The School of Business students write an executive summary which is classified as the maturity test.
Homecoming Pinter Critical Essay - Master Thesis Finance
For further instructions regarding the maturity test, please see Planning your studies - Maturity test.This page describes the courses offered by the Finance Group at the Master level and recommends study plans for students specializing in finance and those who consider writing a doctoral dissertation in finance after completing their master degree.To specialize in finance, master degree students should use the following course sequence.For instructions on writing and handing in the thesis please see .After completing the Master's Thesis the student has to write a maturity test in order to demonstrate their familiarity with the subject of the thesis and proficiency in Finnish or Swedish language.The programme study module includes a 30-credit thesis with a 6-credit seminar.The thesis must demonstrate readiness for scientific thinking, command of research methods, conversance with the topic of the thesis, and ability for scientific communication.The choice of machine learning methods will be discussed before you start working on the thesis. In this thesis - after a review of the literature on prospect theory and asset pricing - you shall employ the approach of this paper to examine whether prospect theory can help predict returns of international stock market indices (Contact: Prof. Literature to get started: Predicting default rates with machine learning The risk of a given credit rating such as BBB varies with the business cycle.It is therefore useful to have a model that predicts default rates for rating categories.In this thesis, you shall review the literature on default rate prediction and then conduct your own empirical study in which you use approaches from statistical learning / machine learning in addition to standard ones (Contact: Prof. Löffler) Literature to get started: Chapter "Prediction of Default and Transition Rates" in Löffler, G., & Posch, P.