Quantitative models are omnipresent abut often controversially discusseda in todays risk management practice. New regulations, innovative financial products, and advances in valuation techniques provide a continuous flow of challenging problems for financial engineers and risk managers alike. Designing a sound stochastic model requires finding a careful balance between parsimonious model assumptions, mathematical viability, and interpretability of the output. Moreover, data requirements and the end-user training are to be considered as well. The KPMG Center of Excellence in Risk Management conference Risk Management Reloaded and this proceedings volume contribute to bridging the gap between academia aproviding methodological advancesa and practice ahaving a firm understanding of the economic conditions in which a given model is used. Discussed fields of application range from asset management, credit risk, and energy to risk management issues in insurance. Methodologically, dependence modeling, multiple-curve interest rate-models, and model risk are addressed. Finally, regulatory developments and possible limits of mathematical modeling are discussed.The conference aRisk Management Reloadeda was held on the campus of Technische UniversitAct MA¼nchen in ... treasury, financial engineering, risk management, and risk controlling, with academic researchers in order to supply trendsettinganbsp;...
|Title||:||Innovations in Quantitative Risk Management|
|Author||:||Kathrin Glau, Matthias Scherer, Rudi Zagst|
|Publisher||:||Springer - 2015-01-09|