Diplomarbeit, 2005
96 Seiten, Note: 2.0
This work aims to provide an analysis of the Value-at-Risk approach, a common method for evaluating price risks in the financial sector, and its applicability to the international coal trading business. The study delves into the principles and methodology of the Value-at-Risk model, explores its strengths and limitations, and evaluates its potential for managing price risks in a specific context – the trading activities of RAG Trading GmbH, a prominent player in the international coal market.
The text focuses on the core concepts of risk management, Value-at-Risk, price risk evaluation, international coal trading, and the case study of RAG Trading GmbH. The study explores the application of financial risk management techniques in the commodity market, specifically examining the use of the Value-at-Risk approach for managing price risks in the context of the coal trading business.
VaR is a statistical measure used to quantify the level of financial risk within a firm or portfolio over a specific time frame, often applied to evaluate price risks in markets like coal.
The coal market has shifted from predictable patterns to highly volatile pricing, especially since the late 20th century, necessitating systematic risk evaluation to protect trading positions.
The three common approaches are the variance-covariance method, Historical Simulation, and the Monte Carlo Simulation.
Back-testing is the process of comparing actual trading outcomes with the predictions of the VaR model to evaluate its accuracy and reliability.
Yes, the study specifically examines how RAG Trading GmbH can establish a VaR-based process to manage price risks in its international steam coal trading operations.
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