000761121 000__ 07057cam\a2200541I\\4500 000761121 001__ 761121 000761121 005__ 20230306142140.0 000761121 006__ m\\\\\o\\d\\\\\\\\ 000761121 007__ cr\un\nnnunnun 000761121 008__ 160906s2016\\\\gw\\\\\\ob\\\\000\0\eng\d 000761121 019__ $$a957772938$$a958096540$$a960836631 000761121 020__ $$a9783662492291$$q(electronic book) 000761121 020__ $$a3662492296$$q(electronic book) 000761121 020__ $$z3662492288 000761121 020__ $$z9783662492284 000761121 035__ $$aSP(OCoLC)ocn957955437 000761121 035__ $$aSP(OCoLC)957955437$$z(OCoLC)957772938$$z(OCoLC)958096540$$z(OCoLC)960836631 000761121 040__ $$aYDX$$beng$$cYDX$$dN$T$$dIDEBK$$dN$T$$dEBLCP$$dNJR 000761121 049__ $$aISEA 000761121 050_4 $$aHG4529.5 000761121 08204 $$a332.6$$223 000761121 1001_ $$aChiarella, Carl. 000761121 24510 $$aSustainable asset accumulation and dynamic portfolio decisions$$h[electronic resource]. 000761121 260__ $$aBerlin :$$bSpringer,$$c2016. 000761121 300__ $$a1 online resource. 000761121 336__ $$atext$$btxt$$2rdacontent 000761121 337__ $$acomputer$$bc$$2rdamedia 000761121 338__ $$aonline resource$$bcr$$2rdacarrier 000761121 4901_ $$aDynamic modeling and econometrics in economics and finance ;$$vVolume 18 000761121 504__ $$aIncludes bibliographical references. 000761121 5050_ $$aPreface; Acknowledgements; Contents; List of Figures; List of Tables; 1 Introduction; 1.1 Institutions, Models and Empirics; 1.2 Dynamic Programming as Solution Method; 1.3 Previous Work; 1.4 Outline and Results; 2 Forecasting and Low Frequency Movements of Asset Returns; 2.1 Introduction; 2.2 Limits on Forecasting Asset Returns; 2.3 The Use of Periodic Returns; 2.4 Conclusions; 3 Portfolio Modeling with Sustainability Constraints; 3.1 Introduction; 3.2 Mean-Variance Portfolio Models; 3.3 Description of Statistical Properties of Returns Data 000761121 5058_ $$a3.3.1 Computing Expected Real Returns on Risky Assets3.3.2 Variance-Covariance and Correlation Matrices and Volatility of Real Returns; 3.3.3 Eigenvalue and Eigenvector Properties of the Empirical Covariance and Correlation Matrix; 3.4 Estimation Results of the Portfolio Models; 3.5 Conclusion; Appendix; Forecasting the Monthly Consumer Price Inflation; Capital Allocation Line and Efficient Frontiers; 4 Dynamic Saving and Portfolio Decisions-Theory; 4.1 Introduction; 4.2 The Model with One Asset and Constant Returns; 4.2.1 Numerical Results for the Benchmark Model 000761121 5058_ $$a4.2.2 Variation of Risk Aversion, Returns and Discount Rate4.3 Dynamic Consumption and Portfolio Decisions: Two Assets and Time Varying Returns; 4.3.1 The Model with Time Varying Returns; 4.3.2 Numerical Results on a Benchmark Case; 4.3.3 Variation of Risk Aversion; 4.3.4 Variation of Returns; 4.3.5 Variation of Time Horizon; 4.4 A Stochastic Model with Mean Reversion in Returns; 4.5 Conclusions; Appendix; The Solution to the Dynamic Decision Problem with One Asset; 5 Asset Accumulation with Estimated Low Frequency Movements of Asset Returns; 5.1 Introduction; 5.2 The Literature and Results 000761121 5058_ $$a5.3 The Dynamic Programming Solution5.4 Varying Risk Aversion Across Investors; 5.5 Varying Time Horizon Across Investors; 5.6 Some Conclusions; 6 Asset Accumulation and Portfolio Decisions with Time Varying Asset Returns and Labor Income ; 6.1 Introduction; 6.2 Literature and Results; 6.3 Business Cycles, Asset Returns and Labor Income; 6.4 Dynamic Decisions on Asset Accumulation; 6.5 Wealth Disparities; 6.6 Conclusions; 7 Continuous and Discrete Time Modeling; 7.1 Introduction; 7.2 Literature and Results; 7.3 Discrete-Time Approximation; 7.3.1 Euler Method; 7.3.2 Milstein Method 000761121 5058_ $$a7.3.3 New Local Linearization Method7.3.4 Equivalence of the Euler and NLL Predictors; 7.4 Empirical Results on Modeling Short Term Interest Rates; 7.4.1 Specification Test; 7.4.1.1 Autocorrelation Checking; 7.4.1.2 Testing Normality; 7.4.2 Results of Estimating CKLS Model; 7.5 Searching for New Models; 7.5.1 Improvement in the Continuous-Time Framework; 7.5.2 Modeling Autocorrelations in the Estimated Noise; 7.5.3 Modeling Thick-Tails in the Estimated Noise; 7.5.4 Model Identification; 7.5.5 Results; 7.6 Conclusions; Appendix; Tables: Estimation Results 000761121 506__ $$aAccess limited to authorized users. 000761121 520__ $$aThis book examines sustainable wealth formation and dynamic decision-making. The global economy experienced a veritable meltdown of asset markets in the years 2007-9, where many funds were overexposed to risky returns and suffered considerable losses. On the other hand, the long-term upswing in the stock market since 2010 has led to asset price booms and some new, but also uneven, wealth formation. In this book a broader set of constraints and guidelines for asset management and wealth accumulation is developed. The authors investigate how wealth formation and the proper management of financial funds can help to adequately buffer income risk and obtain sufficient risk-free income at a later stage of life, while also being socially and environmentally sustainable. The book explores behavioral and institutional rules for decision-making that reflect such constraints and guidelines, without necessarily being optimal in the narrow sense. The authors explain the need for such a dynamic decision-making and dynamic re-balancing of portfolios, by putting forward dynamic programming as an approach to dynamic decision-making that can allow sustainable wealth accumulation and dynamic asset allocation to be successfully integrated. This book provides a clear and comprehensive treatment of asset accumulation and dynamic portfolio models with an emphasis on long term and sustainable wealth formation. An important concern in public debate is the sustainability of our economy and this book employs cutting edge quantitative techniques and models to highlight important facts that cannot be disputed under any reasonable assumptions. It has the potential to become a standard reference for both academic researchers and quantitatively trained practitioners. Eckhard Platen, Professor of Quantitative Finance, University of Technology Sydney, Australia This book should be read by both academics and practitioners alike. The former will find intellectually rigorous discussions and innovative solutions. The latter may find a few of the concepts a bit challenging. Yet, theory and technology are there to help simplify the work of those who worry about what time it is rather than how to make a watch-- but they do need a watch. Jean Brunel, Founder of Brunel Associates and Editor of The Journal of Wealth Management. 000761121 588__ $$aOnline resource; title from PDF title page (viewed September 14, 2016). 000761121 650_0 $$aPortfolio management. 000761121 7001_ $$aSemmler, Willi. 000761121 7001_ $$aHsiao, Chih-Ying. 000761121 7001_ $$aMateane, Lebogang. 000761121 77608 $$iPrint version:$$z3662492288$$z9783662492284$$w(OCoLC)932096760 000761121 830_0 $$aDynamic modeling and econometrics in economics and finance ;$$vVolume 18. 000761121 852__ $$bebk 000761121 85640 $$3SpringerLink$$uhttps://univsouthin.idm.oclc.org/login?url=http://link.springer.com/10.1007/978-3-662-49229-1$$zOnline Access$$91397441.1 000761121 909CO $$ooai:library.usi.edu:761121$$pGLOBAL_SET 000761121 980__ $$aEBOOK 000761121 980__ $$aBIB 000761121 982__ $$aEbook 000761121 983__ $$aOnline 000761121 994__ $$a92$$bISE