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This book covers recent developments in the interdisciplinary fields of actuarial science, quantitative finance, risk- and asset management. The authors are leading experts from academia and practice who participated in Innovations in Insurance, Risk- and Asset Management, an international conference held at the Technical University of Munich in 2017.The topics covered include the mathematics of extreme risks, systemic risk, model uncertainty, interest rate and hybrid models, alternative investments, dynamic investment strategies, quantitative risk management, asset liability management, liability driven investments, and behavioral finance.This timely selection of topics is highly relevant for the financial industry and addresses current issues both from an academic as well as from a practitioner's point of view.

Insurance --- Actuarial Science --- Risk Measure --- Reinsurance --- Copula --- Replicating Portfolio --- Bayesian Finance --- Risk Classification --- Stochastic Dominance --- Dynamic Hedging --- Autoregressive Hidden Markov Models --- Exchange-Traded Funds --- Uncertainty Quantification --- Fixed Income --- Stochastic Processes for Finance

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This Special Issue covers symmetry and asymmetry phenomena occurring in real-life problems. We invited authors to submit their theoretical or experimental research presenting engineering and economic problem solution models dealing with the symmetry or asymmetry of different types of information. The issue gained interest in the research community and received many submissions. After rigorous scientific evaluation by editors and reviewers, nine papers were accepted and published. The authors proposed different MADM and MODM solution models as integrated tools to find a balance between the components of sustainable global development, to find a symmetry axis concerning goals, risks, and constraints to cope with the complicated problems. Most approaches suggested decision models under uncertainty, combining the usual decision-making methods with interval-valued fuzzy or rough sets theory, also Z numbers. The application fields of the proposed models involved both problems of technological sciences and social sciences. The papers cover three essential areas: engineering, economy, and management. We hope that a summary of the Special Issue as provided here will encourage a detailed analysis of the papers included in the Printed Edition.

multi-criteria decision-making (MCDM) --- group decision-making --- interval type-2 fuzzy set (IT2FS) --- subjective weights --- criteria weights --- Step-wise Weight Assessment Ratio Analysis (SWARA) --- multiple attribute decision making (MADM) --- neutrosophic numbers --- 2-tuple linguistic neutrosophic numbers set (2TLNNSs) --- Bonferroni mean (BM) operator --- generalized Bonferroni mean (GBM) operator --- dual generalized Bonferroni mean (DGBM) operator --- dual generalized geometric Bonferroni mean (DGGBM) operator --- green supplier selection --- green supply chain management --- Pythagorean fuzzy set --- normal cloud --- MCGDM --- backward cloud transformation --- MCDM --- the criteria of the weights --- Bayes’ theorem --- combining the weights --- symmetry of the method --- IDOCRIW --- FAHP --- evaluating the quality of distant courses --- optimal dividend --- capital injection --- salvage value --- transaction cost --- excess-of-loss reinsurance --- thrust --- data logger --- sensor --- quadcopter --- measurement --- control system --- stability --- data envelopment analysis --- Z-numbers --- full fuzzy environment --- fuzzy efficiency --- rough ARAS --- transport --- performance --- logistics --- MCDM --- probabilistic systems analysis --- nonlinear dynamics --- public management --- pattern formation --- resources distribution --- population sizes --- information theory --- oscillations --- hybrid problem solution models --- multiple-criteria decision-making (MCDM) --- hybrid MCDM --- criteria weight assessment --- fuzzy sets --- rough sets --- Z-numbers --- neutrosophic numbers --- Bonferroni mean (BM) operator --- engineering problems --- economic decisions